Jung and Jungians
View allAll Photos Tagged analytics
Generated By Midjourney V6
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**Prompt :**
> Portrait cinématographique hyperréaliste d’une jeune femme intellectuelle à l’allure élégante et intemporelle, regard perçant et introspectif, yeux bleu profond éclairés par une lumière douce et dramatique. Son visage est composé de facettes géométriques complexes, style mosaïque cubiste moderne, mêlant tons chauds et froids : ambre, ocre, bleu nuit, turquoise et touches dorées.
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> Cheveux courts et ondulés aux reflets cuivrés et violacés, coiffés avec un mouvement naturel et sophistiqué. Elle porte des lunettes fines et discrètes, un col victorien raffiné, un nœud papillon artistique et des bijoux délicats évoquant l’érudition et la créativité.
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> L’arrière-plan est une composition abstraite riche et profonde : feuilles manuscrites flottant dans l’air, pages de livres anciennes, schémas, symboles scientifiques et typographiques, suspendus dans un espace quasi onirique. Le décor évoque une bibliothèque mentale, un univers de pensée et de savoir en mouvement.
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> Éclairage cinématographique volumétrique, contrastes maîtrisés, profondeur de champ subtile, rendu ultra-net 8K, textures extrêmement détaillées, peau réaliste, reflets lumineux précis. Ambiance intellectuelle, poétique et mystérieuse, mélange d’art classique et de modernité numérique, style peinture numérique hyperréaliste, concept art de film, chef-d’œuvre visuel, qualité musée, atmosphère dramatique et inspirante.
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**Prompt:**
> Hyper-realistic cinematic portrait of an intellectual young woman with an elegant, timeless presence, sharp and introspective gaze, deep blue eyes illuminated by soft, dramatic lighting. Her face is composed of intricate geometric facets, modern cubist mosaic style, blending warm and cool tones: amber, ochre, midnight blue, turquoise, and subtle golden highlights.
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> Short, softly wavy hair with copper and violet reflections, styled naturally yet refined. She wears delicate, minimalist eyeglasses, a refined Victorian-inspired collar, an artistic bow tie, and subtle jewelry that evoke intellect, creativity, and sophistication.
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> The background is a rich, layered abstract composition: handwritten manuscripts floating in the air, aged book pages, diagrams, scientific symbols, and typographic elements suspended in a dreamlike space. The setting resembles a mental library — a universe of thought, knowledge, and imagination in motion.
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> Cinematic volumetric lighting, controlled contrast, subtle depth of field, ultra-sharp 8K render, extremely detailed textures, realistic skin, precise light reflections. Intellectual, poetic, and mysterious atmosphere, blending classical art with modern digital aesthetics, hyper-realistic digital painting, film concept art, museum-quality masterpiece, dramatic and inspiring mood.
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--ar 3:4
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--style raw
--s 250
--chaos 8
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“According to Jungian analytical psychology, stepping on dog poop in a dream is interpreted as an aegis of incoming wealth.
In reality, however, stepping on dog poop just makes you curse: ‘Oh, shit!’
Yet in 21st-century cities, the chance of stepping on a bull’s dung is almost zero.”
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Kentmere 100 Film
Analytical Odysseys.
Предполагаемое знание феноменальных определений диссоциации, узнаваемая видимость исследований детерминированности сознания,
å utpeke øyeblikk sannheter inneholder viktige punkter for å forstå smarte brennende grunner tilfredshet innbefatter undersøkelser vitenskap,
disaccordi giustificati distinguendo contraddizioni osservazioni vuote scetticismo oggetti interi movimenti interi sistemi esistenza astratta,
ٹھوس جانکاری فوری حدود کی باتوں کا حواس خالص مختلف طریقوں سے پیچیدہ روابط اہم فصلوں کی عکاسی کے معاملات,
podstawowe uniwersalne prawdy obojętne relacje zachowujące zrozumiałe słowa uwierzytelnienia świadomość twierdzenia filozoficzne,
experiencias sensoriales que afirman sabidurías esferas profundas que devuelven sentidos dialécticos punteros del supuesto aprendizaje de la pluralidad contraria,
媒体の無関心な認識を考慮する極度の内なることは法を変えること規則を否定すること側面楽しむこと基礎変わらないこと規則否定規則依存性側面楽しさ基盤変わらない移動活動の本質的な機能動物の惨めさ.
Steve.D.Hammond.
Mark this day as it's the day I managed to get 10 Million views on my flickr account. It's been really busy this year and I managed to get all this views in just under a year. Thanks all for your appreciation and for spending time looking at my pictures and liking them and commenting on them.
This is certainly a great milestone.
Thanks for all the views and the likes and keep spreading the love for photography.
I've created my own tool to monitor all the likes and views of my account. The tool is still under construction but you can follow progress here:
You can find my solution on Github.
If you want to raise any issue on the app, you can do it here:
github.com/JordiCorbilla/FlickrPhotoStats/issues
Description of the application here
Thank you all for your appreciation.
Follow me on:
© 2015 Jordi Corbilla - All Rights Reserved.
Do not use any of my images
without permission.
Look at this, a second post on here within two weeks of my last! That hasn't happened in a while, but I'm hoping to change that and be a little more active on here as I still love LEGO. I just haven't had much time for it recently, but I'll be trying to do my best to build more. Anyway, this is an older build, which was actually built for and displayed at Bricks Cascade 2018. I'm not happy with the picture, but they all turned out fairly meh and this has long since been scrapped. Hope you guys enjoy it despite that!
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
In this article im gonna share with you a deep understanding of the Instagram analytics.
Instagram is the most popular social networking platform these days.
If you want to market your products and services then it’s the best ever platform for you.
All you need to make a free account and start promoting your products and services.
www.coremafia.com/instagram-analytics-to-grow-engagement-...
ITM1692074
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ten baby counted ten toes knowledge have knowledge fix that gun Gun ownership controversial topic station There train station close house blue favorite color blue state After accident was state shock strategy new corporate strategy written here little prefer little cars clearly instructions clearly written discuss We’ll discuss that at meeting indeed Your mother does indeed have hearing loss force It takes lot force open that door truth tell truth song That’s beautiful song example need example that grammar point democratic Does Australia have democratic government check check work sure it’s correct environment live healthy environment leg boy broke leg dark Turn on light it’s dark here public Masks must worn public places various That rug comes various shades gray rather Would rather have hamburger than hot dog laugh That movie always makes laugh guess don’t know just guess executive company’s executives are paid well set Set glass on table study needs study test prove employee proved 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direction direction city from here weapon No weapons are allowed government buildings employee That store only has three employees cultural There cultural significance those old ruins contain carton contains dozen egges peace World leaders gathered peace talks head head hurts control Keep control car base glass has heavy base it won’t fall over pain have chest pain apply Maria applied job play children play at park measure Measure twice cut once wide doorway was very wide shake Don’t shake soda fly fly France next year interview job interview went well manage Did manage find keys chair table has six matching chairs fish don’t enjoy eating fish particular That particular style looks good on camera use camera on phone structure building’s structure solid politics Mitch very active politics perform singer perform tonight bit It rained little bit last night weight Keep track your pet’s weight suddenly storm came up suddenly discover You’ll discover treasures at that thrift store candidate There are ten candidates position top flag flies on top that building production Factory production has improved over summer treat Give yourself treat job well done trip are taking trip Florida January evening I’m staying home this evening affect bank account affect how much buy inside cat stays inside conference There expert presenters at conference unit foot unit measure best Those are best glasses buy style dress out style adult Adults pay full price but children are free worry Don’t worry about tomorrow range doctor offered range options mention mention your story rather Rather than focusing on bad things let’s grateful good things far don’t move far from family deep That poem about life deep front face front edge stand close edge cliff individual These potato chips are individual serving size package specific Could more specific writer are good writer trouble Stay out trouble necessary It necessary sleep throughout Throughout life have always enjoyed reading challenge challenge better fear have fears shoulder have shoulder all work on your own institution Have attended institution higher learning middle am middle child with one older brother one younger sister sea sail seven seas dream have dream bar bar place where alcohol served beautiful are beautiful property own property like house instead Instead eating cake have fruit improve am always looking ways improve stuff When moved realized have lot stuff! claim claim fast reader but actually am average
At a crossroads – Needing to make an important decision
When you are at a crossroads, you are at a point in your life where you need to make a decision. The implication is that the decision you make will have big, life-altering consequences.
Bad apple – Bad person
You can use this idiom to describe someone who is not nice and maybe even criminal.
Barking up the wrong tree – Pursuing the wrong course
When you “bark up the wrong tree” you are pursuing the wrong solution to your problems.
Be closefisted – Stingy
If you are being “closefisted”, you don’t want to spend a lot of money.
Be cold-hearted – Uncaring
If you decide to be “cold-hearted”, you are making a deliberate decision not to care about someone or something.
Be on solid ground – Confident
When you are “on solid ground”, you are confident in your position or feel that you are safe.
Beat around the bush – Avoid saying
When you do this, you are taking a long time to say what you really need to say. You may be doing this because the “truth” is embarrassing or your unsure about how the listener will take it.
Behind you – Supportive
When you are “behind” someone, you are saying that they have your support.
Between a rock and a hard place – Facing difficulties
When you have to choose between two options, neither of which are ideal or “good”.
Blow off steam – Try to relax
When you are stressed or upset about something, sometimes you need to do something to keep you from thinking about it.
Born with a silver spoon in their mouth – Born wealthy
This idiomatic expression is used to describe someone who was born into a wealthy family.
Break the bank – Spend a lot
When you “break the bank”, you spend a lot of money on something. If something will “break the bank”, then it’s expensive.
Bright spark – Smart
A “bright spark” is someone who is smart and valuable to an organization.
Build a case – Argue your point
When you “build a case” for something, you are preparing to argue a point or convince someone that your opinion is the right one.
Build castles in the sky – Daydream
When you fantasize about something you hope to have or achieve.
Burn your bridges – End a relationship
When you “burn your bridges” you end a relationship permanently.
Butter up – Flatter
When you “butter” someone up, you are telling them nice things about themselves.
Bought a lemon – Bad bargain
If something you bought is a “lemon” it is a bad product. In a sense, you wasted your money on it.
Break the ice – Start a conversation
When you start a conversation strangers with the end goal of making new friends.
Calm before the storm – Peaceful
When you use this to describe your state of being or mind, you’re talking about a quiet period before anticipated trouble comes your way.
Chasing rainbows – Pursuing dreams
When you try to follow your dreams. The implication here, however, is that you might be better off forgetting your dreams.
Clear as mud – Hard to understand
When you are confused about something or a situation.
Cool as a cucumber – Calm
This idiomatic expression is meant to describe someone who is calm and relaxed.
Couch potato – Lazy
A couch potato is a lazy person. Specifically, someone who sprawls on their couch watching TV almost all day.
Cross that bridge when we get to it – Think about it later
When you say this, you are telling someone that you will think about something later. The implication is that it’s a problem or a decision that can be put off for now.
Chew it over – Think had about something
This idiom implies that you need to make an important decision and can’t afford to be hasty about it.
Come to light – Be revealed
When something “comes to light” something that was originally concealed from you is revealed.
Cut back on – Reduce
When you use this idiom, you are reducing something.
Cut to the chase – Speak concisely
When you tell someone to “cut to the chase”, you are expressing impatience. This is usually used when someone feels someone else is taking to long to deliver important news.
Crystal clear – Easy to understand
When you say that something is “crystal clear”, you are saying that it is understood.
Dead-end job – No more opportunities
When you are stuck in a “dead-end job”, you are in a career situation where there is no more room for advancement.
Dig deep – Strive
When you “dig deep” you put a lot of effort into a task.
Digging into – Looking closer
When you “dig into” something, you are looking for more information.
Don’t run before you can walk – Don’t assume something is easy
This is a descriptive idiom, it’s meant to make you think about how a baby needs to learn how to walk before they can run. It’s supposed to caution you about assuming you can just do something without learning the basics.
Down to earth – Practical
This describes someone who is known for being sensible and practical.
Eat like a bird – Small appetite
This is used to describe someone who doesn’t eat a lot.
Eat like a horse – Eat a lot
If you eat like a horse, you are eating a lot. You can “eat like a bird” most of the time but “eat like a horse” at a specific time because you are either very hungry or you really like the food.
Eat your words – Admit you were wrong
When you “eat your words” you are admitting that something you said earlier turned out to be wrong.
Every cloud has a silver lining – Things will get better
When you say this, you are telling yourself or someone else that you will get through your troubles.
Face the music – Face the consequences
When you “face the music”, you are owning up to a mistake and trying to make amends.
Find your feet – Adapt
When you are “finding your feet” you are learning how to adapt to a new situation, like a new job.
Follow in their footsteps – Imitate
This idiom is often used between children and their parents, but it can also refer to a mentor or someone you admire. If you “follow in someone’s footsteps”, you do the same thing that they did.
Food for thought – Something to think about
If you are given “food for thought” you have been given something to think about.
A frosty reception – To be unwelcome
If you received a “frosty reception”, you are not welcome.
Fly off the handle – Rages
You can use this idiom to describe someone who is visibly angry over a situation. Often this means that someone is shouting and maybe gesturing violently and even causing damage to property. It also implies that the angry reaction is disproportionate to the situation.
Get on with your life – Continue on after a setback
This is something you can say and should do after going through some problems.
Give them a run for their money – Compete
If you are competing with someone, you are giving them a “run for their money.”
Go Dutch – Split the bill
You can use this idiomatic expression when dining out with friends.
Go with the flow – Relax and get along
When you “go with the flow” you keep calm and just go along with whatever is happening around you.
Got off scot-free – Escaped
When you “get off scot-free”, you managed to escape any consequences for your actions.
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Hard to swallow – Unbelievable
If someone told you something that you just can’t believe, they told you something that is “hard to swallow”.
Have your whole life in front of you – Young
Someone who has their whole life in front of them is young and full of promise.
Hold out an olive branch – Apologize
When you do this, you try to make amends or peace with someone you’ve hurt or angered.
In hot water – In trouble
This idiomatic expression can be used to say that you are in a less than ideal situation.
Inching forward - Making slow progress
When you say this, you’re saying things are proceeding slowly.
Keep on the straight and narrow – Keep out of trouble
When you say this, you are implying that you are going to live in a morally correct way.
Keep your chin up – Stay positive
Even if you’re going through a hard time, you should keep thinking positive.
Kicked the bucket – Died
This is an irreverent phrase to say that someone has died. Be careful how you use it.
Let the cat out of the bag – Spoiled the secret
You “let the cat out of the bag” when you accidentally let someone in on a secret that they weren’t meant to know.
Look up to – Respect
When you “look up to” someone you are acknowledging that you respect them and value their opinion.
Loaded – Rich
When you call someone “loaded” you are saying that they are rich.
Lost at sea – Confused
If a situation is making you feel confused or lost, this is the idiom to use.
Making ends meet – Careful budgeting
If you. don’t have much money, you need to “make ends meet”. This means you carefully budget what you do have to meet your needs.
Make a mountain out of a molehill –Exaggerate
This idiom is used to say that someone is being over-dramatic with their complaints or concerns.
Make waves – Change things
When you “make waves”, you change a situation dramatically. This can also mean that you caused trouble.
Nip in the bud – Stop
When you do this, you take action to keep a situation from getting worse.
No sweat – Easy
When you say “no sweat” you are saying that a task was easy
Not your cup of tea – Not something you like
If you say that something is “not your cup of tea” you are saying it’s not something you particularly like or enjoy.
Once in a blue moon – Rare
This implies something that either won’t happen or rarely happens.
Out in the open – Public knowledge
When something is “out in the open”, it is a matter of public knowledge.
Over the moon – Very happy
You can use this to describe the feeling of getting something you’ve been looking forward to for a long time.
On cloud nine – Very happy
Similar to being over the moon.
Packed like sardines – Crowded
If people are “packed like sardines” in a venue, they are standing very close together in a small space.
Piece of cake –Easy
If you say something is a “piece of cake” you are saying that it is easy.
Pitch in - Contribute
When you “pitch-in”, you work with a group of people to reach a common goal.
Point of view – An opinion
Your “point of view” is what you think about someone or a situation.
Pony up – Pay
If you are paying back a debt, you are “ponying up” the money.
Pour oil on troubled waters – Calm things down
This basically means that you played peacemaker and kept an argument from developing into a physical fight.
Put your head in the sand – Deny something unpleasant
When you have your “head in the sand”, you are deliberately ignoring a bad situation.
Rags to riches – Became rich
Someone who went from “rags to riches” was born poor or underprivileged, but is now in a better social position.
Rain or shine – No matter what
This idiomatic expression is used to express the idea that nothing will stop you.
Reap the rewards – Received the benefits
When you “reap the rewards”, you are getting the benefits of your good work.
Rings a bell – Sounds familiar
When you think that you’ve heard a piece of information before but are not so sure.
Rule of thumb – General practice
A “rule of thumb” is an unwritten rule that is followed by the majority.
Separate the wheat from the chaff – Decide what is valuable
This picturesque idiom refers to how, when you harvest wheat, you need to separate it from the stalks and leaves. So, it means that you pick out or choose what is valuable to keep.
Shell out money – Pay
When you “shell out money”, you pay for an item.
Sitting on the fence – Neutral
When you “sit on the fence” you are avoiding making a decision. Often, this is a decision between two people with different opinions.
Smart cookie – Smart person
You can use this idiom to describe someone intelligent.
Spice things up – Make things interesting
When you “spice things up” you do something to break out of your normal routine.
Spill the beans – Tell
When you do this, you tell someone something they didn’t know. It may or not have been a secret previously.
Sticky fingers – Thief
If you accuse someone of having “sticky fingers” you are basically calling them a thief.
Take a side – Choose who to support
When you “take a side” in an argument, you are agreeing with one of those arguing.
Throw light on – Explain something
When you “throw light on” a situation, you help make sure that it is understood.
To move at a snail’s pace – Move slowly
This is another idiomatic phrase that’s meant to paint a picture. A snail moves slowly, so to move at its pace means things are going slowly.
Tread carefully – Be cautious
This implies that a situation is fraught and it might be easy to offend those involved.
Under the table – Secretive
When you do something “under the table”, you are trying to do something so that only a small amount of people are aware of it. It’s commonly used to describe something that is possibly unscrupulous. For example, bribes are given “under the table”.
Undermine your position – Act unconvincingly
When you behave in a way that makes you and your opinion seem untrustworthy.
Up in the air – Uncertain
When you say something is “up in the air”, you are saying that you are not sure that an event is happening.
Weather the storm – Survive
When you “weather the storm”, you endure a bad situation.
When it rains, it pours – Trouble comes
This refers to the fact that sometimes, many bad things happen to people at one time.
So there you have it, 10 idiomatic expressions and their meanings. These idioms are used by native English language speakers to add some color to their daily speech.
Google is an American multinational technology company focusing on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence,[9] and consumer electronics. It has been referred to as "the most powerful company in the world"[10] and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of artificial intelligence.[11][12][13] Its parent company Alphabet is considered one of the Big Five American information technology companies, alongside Amazon, Apple, Meta, and Microsoft.
Google was founded on September 4, 1998, by Larry Page and Sergey Brin while they were PhD students at Stanford University in California. Together they own about 14% of its publicly listed shares and control 56% of the stockholder voting power through super-voting stock. The company went public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Google is Alphabet's largest subsidiary and is a holding company for Alphabet's Internet properties and interests. Sundar Pichai was appointed CEO of Google on October 24, 2015, replacing Larry Page, who became the CEO of Alphabet. On December 3, 2019, Pichai also became the CEO of Alphabet.[14]
The company has since rapidly grown to offer a multitude of products and services beyond Google Search, many of which hold dominant market positions. These products address a wide range of use cases, including email (Gmail), navigation (Waze & Maps), cloud computing (Cloud), web browsing (Chrome), video sharing (YouTube), productivity (Workspace), operating systems (Android), cloud storage (Drive), language translation (Translate), photo storage (Photos), video calling (Meet), smart home (Nest), smartphones (Pixel), wearable technology (Pixel Watch & Fitbit), music streaming (YouTube Music), video on demand (YouTube TV), artificial intelligence (Google Assistant), machine learning APIs (TensorFlow), AI chips (TPU), and more. Discontinued Google products include gaming (Stadia), Glass,[citation needed] Google+, Reader, Play Music, Nexus, Hangouts, and Inbox by Gmail.[15][16]
Google's other ventures outside of Internet services and consumer electronics include quantum computing (Sycamore), self-driving cars (Waymo, formerly the Google Self-Driving Car Project), smart cities (Sidewalk Labs), and transformer models (Google Brain).[17]
Google and YouTube are the two most visited websites worldwide followed by Facebook and Twitter. Google is also the largest search engine, mapping and navigation application, email provider, office suite, video sharing platform, photo and cloud storage provider, mobile operating system, web browser, ML framework, and AI virtual assistant provider in the world as measured by market share. On the list of most valuable brands, Google is ranked second by Forbes[18] and fourth by Interbrand.[19] It has received significant criticism involving issues such as privacy concerns, tax avoidance, censorship, search neutrality, antitrust and abuse of its monopoly position.
In March 1999, the company moved its offices to Palo Alto, California,[52] which is home to several prominent Silicon Valley technology start-ups.[53] The next year, Google began selling advertisements associated with search keywords against Page and Brin's initial opposition toward an advertising-funded search engine.[54][22] To maintain an uncluttered page design, advertisements were solely text-based.[55] In June 2000, it was announced that Google would become the default search engine provider for Yahoo!, one of the most popular websites at the time, replacing Inktomi.
In 2003, after outgrowing two other locations, the company leased an office complex from Silicon Graphics, at 1600 Amphitheatre Parkway in Mountain View, California.[59] The complex became known as the Googleplex, a play on the word googolplex, the number one followed by a googol zeroes. Three years later, Google bought the property from SGI for $319 million.[60] By that time, the name "Google" had found its way into everyday language, causing the verb "google" to be added to the Merriam-Webster Collegiate Dictionary and the Oxford English Dictionary, denoted as: "to use the Google search engine to obtain information on the Internet".[61][62] The first use of the verb on television appeared in an October 2002 episode of Buffy the Vampire Slayer.[63]
Additionally, in 2001 Google's investors felt the need to have a strong internal management, and they agreed to hire Eric Schmidt as the chairman and CEO of Google.[49] Eric was proposed by John Doerr from Kleiner Perkins. He had been trying to find a CEO that Sergey and Larry would accept for several months, but they rejected several candidates because they wanted to retain control over the company. Michael Moritz from Sequoia Capital at one point even menaced requesting Google to immediately pay back Sequoia's $12.5m investment if they did not fulfill their promise to hire a chief executive office, which had been made verbally during investment negotiations. Eric wasn't initially enthusiastic about joining Google either, as the company's full potential hadn't yet been widely recognized at the time, and as he was occupied with his responsibilities at Novell where he was CEO. As part of him joining, Eric agreed to buy $1 million of Google preferred stocks as a way to show his commitment and to provide funds Google needed.
Google generates most of its revenues from advertising. This includes sales of apps, purchases made in-app, digital content products on Google and YouTube, Android and licensing and service fees, including fees received for Google Cloud offerings. Forty-six percent of this profit was from clicks (cost per clicks), amounting to US$109,652 million in 2017. This includes three principal methods, namely AdMob, AdSense (such as AdSense for Content, AdSense for Search, etc.) and DoubleClick AdExchange.
In addition to its own algorithms for understanding search requests, Google uses technology its acquisition of DoubleClick, to project user interest and target advertising to the search context and the user history.
In 2007, Google launched "AdSense for Mobile", taking advantage of the emerging mobile advertising market.
Google Analytics allows website owners to track where and how people use their website, for example by examining click rates for all the links on a page. Google advertisements can be placed on third-party websites in a two-part program. Google Ads allows advertisers to display their advertisements in the Google content network, through a cost-per-click scheme.[138] The sister service, Google AdSense, allows website owners to display these advertisements on their website and earn money every time ads are clicked.[139] One of the criticisms of this program is the possibility of click fraud, which occurs when a person or automated script clicks on advertisements without being interested in the product, causing the advertiser to pay money to Google unduly. Industry reports in 2006 claimed that approximately 14 to 20 percent of clicks were fraudulent or invalid.[140] Google Search Console (rebranded from Google Webmaster Tools in May 2015) allows webmasters to check the sitemap, crawl rate, and for security issues of their websites, as well as optimize their website's visibility.
Consumer services
Web-based services
Google offers Gmail for email, Google Calendar for time-management and scheduling, Google Maps for mapping, navigation and satellite imagery, Google Drive for cloud storage of files, Google Docs, Sheets and Slides for productivity, Google Photos for photo storage and sharing, Google Keep for note-taking, Google Translate for language translation, YouTube for video viewing and sharing, Google My Business for managing public business information, and Duo for social interaction. In March 2019, Google unveiled a cloud gaming service named Stadia. A job search product has also existed since before 2017, Google for Jobs is an enhanced search feature that aggregates listings from job boards and career sites.
Some Google services are not web-based. Google Earth, launched in 2005, allowed users to see high-definition satellite pictures from all over the world for free through a client software downloaded to their computers.
Software
Google develops the Android mobile operating system, as well as its smartwatch, television, car, and Internet of things-enabled smart devices variations.
It also develops the Google Chrome web browser, and Chrome OS, an operating system based on Chrome.
Hardware
In January 2010, Google released Nexus One, the first Android phone under its own brand. It spawned a number of phones and tablets under the "Nexus" branding until its eventual discontinuation in 2016, replaced by a new brand called Pixel.
In 2011, the Chromebook was introduced, which runs on Chrome OS.
In July 2013, Google introduced the Chromecast dongle, which allows users to stream content from their smartphones to televisions.
In June 2014, Google announced Google Cardboard, a simple cardboard viewer that lets user place their smartphone in a special front compartment to view virtual reality (VR) media.
Other hardware products include:
•Nest, a series of voice assistant smart speakers that can answer voice queries, play music, find information from apps (calendar, weather etc.), and control third-party smart home appliances (users can tell it to turn on the lights, for example). The Google Nest line includes the original Google Home (later succeeded by the Nest Audio), the Google Home Mini (later succeeded by the Nest Mini, the Google Home Max, the Google Home Hub (later rebranded as the Nest Hub), and the Nest Hub Max.
•Nest Wifi (originally Google Wifi), a connected set of Wi-Fi routers to simplify and extend coverage of home Wi-Fi.
Enterprise services
Google Workspace (formerly G Suite until October 2020) is a monthly subscription offering for organizations and businesses to get access to a collection of Google's services, including Gmail, Google Drive and Google Docs, Google Sheets and Google Slides, with additional administrative tools, unique domain names, and 24/7 support.
On September 24, 2012, Google launched Google for Entrepreneurs, a largely not-for-profit business incubator providing startups with co-working spaces known as Campuses, with assistance to startup founders that may include workshops, conferences, and mentorships. Presently, there are seven Campus locations: Berlin, London, Madrid, Seoul, São Paulo, Tel Aviv, and Warsaw.
On March 15, 2016, Google announced the introduction of Google Analytics 360 Suite, "a set of integrated data and marketing analytics products, designed specifically for the needs of enterprise-class marketers" which can be integrated with BigQuery on the Google Cloud Platform. Among other things, the suite is designed to help "enterprise class marketers" "see the complete customer journey", generate "useful insights", and "deliver engaging experiences to the right people". Jack Marshall of The Wall Street Journal wrote that the suite competes with existing marketing cloud offerings by companies including Adobe, Oracle, Salesforce, and IBM.
Internet services
In February 2010, Google announced the Google Fiber project, with experimental plans to build an ultra-high-speed broadband network for 50,000 to 500,000 customers in one or more American cities.[178][179] Following Google's corporate restructure to make Alphabet Inc. its parent company, Google Fiber was moved to Alphabet's Access division.[180][181]
In April 2015, Google announced Project Fi, a mobile virtual network operator, that combines Wi-Fi and cellular networks from different telecommunication providers in an effort to enable seamless connectivity and fast Internet signal.
Facebook is an online social media and social networking service owned by American company Meta Platforms. Founded in 2004 by Mark Zuckerberg with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes, its name comes from the face book directories often given to American university students. Membership was initially limited to Harvard students, gradually expanding to other North American universities and, since 2006, anyone over 13 years old. As of July 2022, Facebook claimed 2.93 billion monthly active users,[6] and ranked third worldwide among the most visited websites as of July 2022.[7] It was the most downloaded mobile app of the 2010s.[8]
Facebook can be accessed from devices with Internet connectivity, such as personal computers, tablets and smartphones. After registering, users can create a profile revealing information about themselves. They can post text, photos and multimedia which are shared with any other users who have agreed to be their "friend" or, with different privacy settings, publicly. Users can also communicate directly with each other with Facebook Messenger, join common-interest groups, and receive notifications on the activities of their Facebook friends and the pages they follow.
The subject of numerous controversies, Facebook has often been criticized over issues such as user privacy (as with the Cambridge Analytica data scandal), political manipulation (as with the 2016 U.S. elections) and mass surveillance.[9] Posts originating from the Facebook page of Breitbart News, a media organization previously affiliated with Cambridge Analytica,[10] are currently among the most widely shared political content on Facebook.[11][12][13][14][15] Facebook has also been subject to criticism over psychological effects such as addiction and low self-esteem, and various controversies over content such as fake news, conspiracy theories, copyright infringement, and hate speech.
Zuckerberg built a website called "Facemash" in 2003 while attending Harvard University. The site was comparable to Hot or Not and used "photos compiled from the online face books of nine Houses, placing two next to each other at a time and asking users to choose the "hotter" person". Facemash attracted 450 visitors and 22,000 photo-views in its first four hours. The site was sent to several campus group listservs, but was shut down a few days later by Harvard administration. Zuckerberg faced expulsion and was charged with breaching security, violating copyrights and violating individual privacy. Ultimately, the charges were dropped. Zuckerberg expanded on this project that semester by creating a social study tool. He uploaded art images, each accompanied by a comments section, to a website he shared with his classmates.
A "face book" is a student directory featuring photos and personal information. In 2003, Harvard had only a paper version[ along with private online directories. Zuckerberg told The Harvard Crimson, "Everyone's been talking a lot about a universal face book within Harvard. ... I think it's kind of silly that it would take the University a couple of years to get around to it. I can do it better than they can, and I can do it in a week."[29] In January 2004, Zuckerberg coded a new website, known as "TheFacebook", inspired by a Crimson editorial about Facemash, stating, "It is clear that the technology needed to create a centralized Website is readily available ... the benefits are many." Zuckerberg met with Harvard student Eduardo Saverin, and each of them agreed to invest $1,000 ($1,435 in 2021 dollars[30]) in the site.[31] On February 4, 2004, Zuckerberg launched "TheFacebook", originally located at thefacebook.com.
Six days after the site launched, Harvard seniors Cameron Winklevoss, Tyler Winklevoss, and Divya Narendra accused Zuckerberg of intentionally misleading them into believing that he would help them build a social network called HarvardConnection.com. They claimed that he was instead using their ideas to build a competing product. The three complained to the Crimson and the newspaper began an investigation. They later sued Zuckerberg, settling in 2008 for 1.2 million shares (worth $300 million ($354 million in 2021 dollars[30]) at Facebook's IPO).
Membership was initially restricted to students of Harvard College. Within a month, more than half the undergraduates had registered.[36] Dustin Moskovitz, Andrew McCollum, and Chris Hughes joined Zuckerberg to help manage the growth of the website.[37] In March 2004, Facebook expanded to Columbia, Stanford and Yale.[38] It then became available to all Ivy League colleges, Boston University, NYU, MIT, and successively most universities in the United States and Canada.
In mid-2004, Napster co-founder and entrepreneur Sean Parker—an informal advisor to Zuckerberg—became company president.[41] In June 2004, the company moved to Palo Alto, California.[42] It received its first investment later that month from PayPal co-founder Peter Thiel. In 2005, the company dropped "the" from its name after purchasing the domain name Facebook.com for US$200,000 ($277,492 in 2021 dollars). The domain had belonged to AboutFace Corporation.
In May 2005, Accel Partners invested $12.7 million ($17.6 million in 2021 dollars) in Facebook, and Jim Breyer added $1 million ($1.39 million in 2021 dollars) of his own money. A high-school version of the site launched in September 2005. Eligibility expanded to include employees of several companies, including Apple Inc. and Microsoft.
Facebook was sued by the Federal Trade Commission as well as a coalition of several states for illegal monopolization and antitrust. The FTC and states sought the courts to force Facebook to sell its subsidiaries WhatsApp and Instagram.[183][184] The suits were dismissed by a federal judge on June 28, 2021, who stated that there was not enough evidence brought in the suit to determine Facebook to be a monopoly at this point, though allowed the FTC to amend its case to include additional evidence. In its amended filings in August 2021, the FTC asserted that Facebook had been a monopoly in the area of personal social networks since 2011, distinguishing Facebook's activities from social media services like TikTok that broadcast content without necessarily l
At a crossroads – Needing to make an important decision
When you are at a crossroads, you are at a point in your life where you need to make a decision. The implication is that the decision you make will have big, life-altering consequences.
Bad apple – Bad person
You can use this idiom to describe someone who is not nice and maybe even criminal.
Barking up the wrong tree – Pursuing the wrong course
When you “bark up the wrong tree” you are pursuing the wrong solution to your problems.
Be closefisted – Stingy
If you are being “closefisted”, you don’t want to spend a lot of money.
Be cold-hearted – Uncaring
If you decide to be “cold-hearted”, you are making a deliberate decision not to care about someone or something.
Be on solid ground – Confident
When you are “on solid ground”, you are confident in your position
Different forms of fluctuations of the terrestrial gravity field are observed by gravity experiments. For example, atmospheric pressure fluctuations generate a gravity-noise foreground in measurements with super-conducting gravimeters. Gravity changes caused by high-magnitude earthquakes have been detected with the satellite gravity experiment GRACE, and we expect high-frequency terrestrial gravity fluctuations produced by ambient seismic fields to limit the sensitivity of ground-based gravitational-wave (GW) detectors. Accordingly, terrestrial gravity fluctuations are considered noise and signal depending on the experiment. Here, we will focus on ground-based gravimetry. This field is rapidly progressing through the development of GW detectors. The technology is pushed to its current limits in the advanced generation of the LIGO and Virgo detectors, targeting gravity strain sensitivities better than 10−23 Hz−1/2 above a few tens of a Hz. Alternative designs for GW detectors evolving from traditional gravity gradiometers such as torsion bars, atom interferometers, and superconducting gradiometers are currently being developed to extend the detection band to frequencies below 1 Hz. The goal of this article is to provide the analytical framework to describe terrestrial gravity perturbations in these experiments. Models of terrestrial gravity perturbations related to seismic fields, atmospheric disturbances, and vibrating, rotating or moving objects, are derived and analyzed. The models are then used to evaluate passive and active gravity noise mitigation strategies in GW detectors, or alternatively, to describe their potential use in geophysics. The article reviews the current state of the field, and also presents new analyses especially with respect to the impact of seismic scattering on gravity perturbations, active gravity noise cancellation, and time-domain models of gravity perturbations from atmospheric and seismic point sources. Our understanding of terrestrial gravity fluctuations will have great impact on the future development of GW detectors and high-precision gravimetry in general, and many open questions need to be answered still as emphasized in this article.
Keywords: Terrestrial gravity, Newtonian noise, Wiener filter, Mitigation
Go to:
Introduction
In the coming years, we will see a transition in the field of high-precision gravimetry from observations of slow lasting changes of the gravity field to the experimental study of fast gravity fluctuations. The latter will be realized by the advanced generation of the US-based LIGO [1] and Europe-based Virgo [7] gravitational-wave (GW) detectors. Their goal is to directly observe for the first time GWs that are produced by astrophysical sources such as inspiraling and merging neutron-star or black-hole binaries. Feasibility of the laser-interferometric detector concept has been demonstrated successfully with the first generation of detectors, which, in addition to the initial LIGO and Virgo detectors, also includes the GEO600 [119] and TAMA300 [161] detectors, and several prototypes around the world. The impact of these projects onto the field is two-fold. First of all, the direct detection of GWs will be a milestone in science opening a new window to our universe, and marking the beginning of a new era in observational astronomy. Second, several groups around the world have already started to adapt the technology to novel interferometer concepts [60, 155], with potential applications not only in GW science, but also geophysics. The basic measurement scheme is always the same: the relative displacement of test masses is monitored by using ultra-stable lasers. Progress in this field is strongly dependent on how well the motion of the test masses can be shielded from the environment. Test masses are placed in vacuum and are either freely falling (e.g., atom clouds [137]), or suspended and seismically isolated (e.g., high-quality glass or crystal mirrors as used in all of the detectors listed above). The best seismic isolations realized so far are effective above a few Hz, which limits the frequency range of detectable gravity fluctuations. Nonetheless, low-frequency concepts are continuously improving, and it is conceivable that future detectors will be sufficiently sensitive to detect GWs well below a Hz [88].
Terrestrial gravity perturbations were identified as a potential noise source already in the first concept laid out for a laser-interferometric GW detector [171]. Today, this form of noise is known as “terrestrial gravitational noise”, “Newtonian noise”, or “gravity-gradient noise”. It has never been observed in GW detectors, but it is predicted to limit the sensitivity of the advanced GW detectors at low frequencies. The most important source of gravity noise comes from fluctuating seismic fields [151]. Gravity perturbations from atmospheric disturbances such as pressure and temperature fluctuations can become significant at lower frequencies [51]. Anthropogenic sources of gravity perturbations are easier to avoid, but could also be relevant at lower frequencies [163]. Today, we only have one example of a direct observation of gravity fluctuations, i.e., from pressure fluctuations of the atmosphere in high-precision gravimeters [128]. Therefore, almost our entire understanding of gravity fluctuations is based on models. Nonetheless, potential sensitivity limits of future large-scale GW detectors need to be identified and characterized well in advance, and so there is a need to continuously improve our understanding of terrestrial gravity noise. Based on our current understanding, the preferred option is to construct future GW detectors underground to avoid the most dominant Newtonian-noise contributions. This choice was made for the next-generation Japanese GW detector KAGRA, which is currently being constructed underground at the Kamioka site [17], and also as part of a design study for the Einstein Telescope in Europe [140, 139]. While the benefit from underground construction with respect to gravity noise is expected to be substantial in GW detectors sensitive above a few Hz [27], it can be argued that it is less effective at lower frequencies [88].
Alternative mitigation strategies includes coherent noise cancellation [42]. The idea is to monitor the sources of gravity perturbations using auxiliary sensors such as microphones and seismometers, and to use their data to generate a coherent prediction of gravity noise. This technique is successfully applied in gravimeters to reduce the foreground of atmospheric gravity noise using collocated pressure sensors [128]. It is also noteworthy that the models of the atmospheric gravity noise are consistent with observations. This should give us some confidence at least that coherent Newtonian-noise cancellation can also be achieved in GW detectors. It is evident though that a model-based prediction of the performance of coherent noise cancellation schemes is prone to systematic errors as long as the properties of the sources are not fully understood. Ongoing experiments at the Sanford Underground Research Facility with the goal to characterize seismic fields in three dimensions are expected to deliver first data from an underground seismometer array in 2015 (see [89] for results from an initial stage of the experiment). While most people would argue that constructing GW detectors underground is always advantageous, it is still necessary to estimate how much is gained and whether the science case strongly profits from it. This is a complicated problem that needs to be answered as part of a site selection process.
More recently, high-precision gravity strainmeters have been considered as monitors of geophysical signals [83]. Analytical models have been calculated, which allow us to predict gravity transients from seismic sources such as earthquakes. It was suggested to implement gravity strainmeters in existing earthquake-early warning systems to increase warning times. It is also conceivable that an alternative method to estimate source parameters using gravity signals will improve our understanding of seismic sources. Potential applications must still be investigated in greater detail, but the study already demonstrates that the idea to use GW technology to realize new geophysical sensors seems feasible. As explained in [49], gravitational forces start to dominate the dynamics of seismic phenomena below about 1 mHz (which coincides approximately with a similar transition in atmospheric dynamics where gravity waves start to dominate over other forms of oscillations [164]). Seismic isolation would be ineffective below 1 mHz since the gravitational acceleration of a test mass produced by seismic displacement becomes comparable to the seismic acceleration itself. Therefore, we claim that 10 mHz is about the lowest frequency at which ground-based gravity strainmeters will ever be able to detect GWs, and consequently, modelling terrestrial gravity perturbations in these detectors can focus on frequencies above 10 mHz.
This article is divided into six main sections. Section 2 serves as an introduction to gravity measurements focussing on the response mechanisms and basic properties of gravity sensors. Section 3 describes models of gravity perturbations from ambient seismic fields. The results can be used to estimate noise spectra at the surface and underground. A subsection is devoted to the problem of noise estimation in low-frequency GW detectors, which differs from high-frequency estimates mostly in that gravity perturbations are strongly correlated between different test masses. In the low-frequency regime, the gravity noise is best described as gravity-gradient noise. Section 4 is devoted to time domain models of transient gravity perturbations from seismic point sources. The formalism is applied to point forces and shear dislocations. The latter allows us to estimate gravity perturbations from earthquakes. Atmospheric models of gravity perturbations are presented in Section 5. This includes gravity perturbations from atmospheric temperature fields, infrasound fields, shock waves, and acoustic noise from turbulence. The solution for shock waves is calculated in time domain using the methods of Section 4. A theoretical framework to calculate gravity perturbations from objects is given in Section 6. Since many different types of objects can be potential sources of gravity perturbations, the discussion focusses on the development of a general method instead of summarizing all of the calculations that have been done in the past. Finally, Section 7 discusses possible passive and active noise mitigation strategies. Due to the complexity of the problem, most of the section is devoted to active noise cancellation providing the required analysis tools and showing limitations of this technique. Site selection is the main topic under passive mitigation, and is discussed in the context of reducing environmental noise and criteria relevant to active noise cancellation. Each of these sections ends with a summary and a discussion of open problems. While this article is meant to be a review of the current state of the field, it also presents new analyses especially with respect to the impact of seismic scattering on gravity perturbations (Sections 3.3.2 and 3.3.3), active gravity noise cancellation (Section 7.1.3), and timedomain models of gravity perturbations from atmospheric and seismic point sources (Sections 4.1, 4.5, and 5.3).
Even though evident to experts, it is worth emphasizing that all calculations carried out in this article have a common starting point, namely Newton’s universal law of gravitation. It states that the attractive gravitational force equation M1 between two point masses m1, m2 is given by
equation M21
where G = 6.672 × 10−11 N m2/kg2 is the gravitational constant. Eq. (1) gives rise to many complex phenomena on Earth such as inner-core oscillations [156], atmospheric gravity waves [157], ocean waves [94, 177], and co-seismic gravity changes [122]. Due to its importance, we will honor the eponym by referring to gravity noise as Newtonian noise in the following. It is thereby clarified that the gravity noise models considered in this article are non-relativistic, and propagation effects of gravity changes are neglected. While there could be interesting scenarios where this approximation is not fully justified (e.g., whenever a gravity perturbation can be sensed by several sensors and differences in arrival times can be resolved), it certainly holds in any of the problems discussed in this article. We now invite the reader to enjoy the rest of the article, and hope that it proves to be useful.
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Gravity Measurements
In this section, we describe the relevant mechanisms by which a gravity sensor can couple to gravity perturbations, and give an overview of the most widely used measurement schemes: the (relative) gravimeter [53, 181], the gravity gradiometer [125], and the gravity strainmeter. The last category includes the large-scale GW detectors Virgo [6], LIGO [91], GEO600 [119], KAGRA [17], and a new generation of torsion-bar antennas currently under development [13]. Also atom interferometers can potentially be used as gravity strainmeters in the future [62]. Strictly speaking, none of the sensors only responds to a single field quantity (such as changes in gravity acceleration or gravity strain), but there is always a dominant response mechanism in each case, which justifies to give the sensor a specific name. A clear distinction between gravity gradiometers and gravity strainmeters has never been made to our knowledge. Therefore the sections on these two measurement principles will introduce a definition, and it is by no means the only possible one. Later on in this article, we almost exclusively discuss gravity models relevant to gravity strainmeters since the focus lies on gravity fluctuations above 10 mHz. Today, the sensitivity near 10 mHz of gravimeters towards gravity fluctuations is still competitive to or exceeds the sensitivity of gravity strainmeters, but this is likely going to change in the future so that we can expect strainmeters to become the technology of choice for gravity observations above 10 mHz [88]. The following sections provide further details on this statement. Space-borne gravity experiments such as GRACE [167] will not be included in this overview. The measurement principle of GRACE is similar to that of gravity strainmeters, but only very slow changes of Earth gravity field can be observed, and for this reason it is beyond the scope of this article.
The different response mechanisms to terrestrial gravity perturbations are summarized in Section 2.1. While we will identify the tidal forces acting on the test masses as dominant coupling mechanism, other couplings may well be relevant depending on the experiment. The Shapiro time delay will be discussed as the only relativistic effect. Higher-order relativistic effects are neglected. All other coupling mechanisms can be calculated using Newtonian theory including tidal forces, coupling in static non-uniform gravity fields, and coupling through ground displacement induced by gravity fluctuations. In Sections 2.2 to 2.4, the different measurement schemes are explained including a brief summary of the sensitivity limitations (choosing one of a few possible experimental realizations in each case). As mentioned before, we will mostly develop gravity models relevant to gravity strainmeters in the remainder of the article. Therefore, the detailed discussion of alternative gravimetry concepts mostly serves to highlight important differences between these concepts, and to develop a deeper understanding of the instruments and their role in gravity measurements.
Gravity response mechanisms
Gravity acceleration and tidal forces We will start with the simplest mechanism of all, the acceleration of a test mass in the gravity field. Instruments that measure the acceleration are called gravimeters. A test mass inside a gravimeter can be freely falling such as atom clouds [181] or, as suggested as possible future development, even macroscopic objects [72]. Typically though, test masses are supported mechanically or magnetically constraining motion in some of its degrees of freedom. A test mass suspended from strings responds to changes in the horizontal gravity acceleration. A test mass attached at the end of a cantilever with horizontal equilibrium position responds to changes in vertical gravity acceleration. The support fulfills two purposes. First, it counteracts the static gravitational force in a way that the test mass can respond to changes in the gravity field along a chosen degree of freedom. Second, it isolates the test mass from vibrations. Response to signals and isolation performance depend on frequency. If the support is modelled as a linear, harmonic oscillator, then the test mass response to gravity changes extends over all frequencies, but the response is strongly suppressed below the oscillators resonance frequency. The response function between the gravity perturbation δg(ω) and induced test mass acceleration δa(ω) assumes the form
equation M32
where we have introduced a viscous damping parameter γ, and ω0 is the resonance frequency. Well below resonance, the response is proportional to ω2, while it is constant well above resonance. Above resonance, the supported test mass responds like a freely falling mass, at least with respect to “soft” directions of the support. The test-mass response to vibrations δα(ω) of the support is given by
equation M43
This applies for example to horizontal vibrations of the suspension points of strings that hold a test mass, or to vertical vibrations of the clamps of a horizontal cantilever with attached test mass. Well above resonance, vibrations are suppressed by ω−2, while no vibration isolation is provided below resonance. The situation is somewhat more complicated in realistic models of the support especially due to internal modes of the mechanical system (see for example [76]), or due to coupling of degrees of freedom [121]. Large mechanical support structures can feature internal resonances at relatively low frequencies, which can interfere to some extent with the desired performance of the mechanical support [173]. While Eqs. (2) and (3) summarize the properties of isolation and response relevant for this paper, details of the readout method can fundamentally impact an instrument’s response to gravity fluctuations and its susceptibility to seismic noise, as explained in Sections 2.2 to 2.4.
Next, we discuss the response to tidal forces. In Newtonian theory, tidal forces cause a relative acceleration δg12(ω) between two freely falling test masses according to
equation M54
where equation M6 is the Fourier amplitude of the gravity potential. The last equation holds if the distance r12 between the test masses is sufficiently small, which also depends on the frequency. The term equation M7 is called gravity-gradient tensor. In Newtonian approximation, the second time integral of this tensor corresponds to gravity strain equation M8, which is discussed in more detail in Section 2.4. Its trace needs to vanish in empty space since the gravity potential fulfills the Poisson equation. Tidal forces produce the dominant signals in gravity gradiometers and gravity strainmeters, which measure the differential acceleration or associated relative displacement between two test masses (see Sections 2.3 and 2.4). If the test masses used for a tidal measurement are supported, then typically the supports are designed to be as similar as possible, so that the response in Eq. (2) holds for both test masses approximately with the same parameter values for the resonance frequencies (and to a lesser extent also for the damping). For the purpose of response calibration, it is less important to know the parameter values exactly if the signal is meant to be observed well above the resonance frequency where the response is approximately equal to 1 independent of the resonance frequency and damping (here, “well above” resonance also depends on the damping parameter, and in realistic models, the signal frequency also needs to be “well below” internal resonances of the mechanical support).
Shapiro time delay Another possible gravity response is through the Shapiro time delay [19]. This effect is not universally present in all gravity sensors, and depends on the readout mechanism. Today, the best sensitivities are achieved by reflecting laser beams from test masses in interferometric configurations. If the test mass is displaced by gravity fluctuations, then it imprints a phase shift onto the reflected laser, which can be observed in laser interferometers, or using phasemeters. We will give further details on this in Section 2.4. In Newtonian gravity, the acceleration of test masses is the only predicted response to gravity fluctuations. However, from general relativity we know that gravity also affects the propagation of light. The leading-order term is the Shapiro time delay, which produces a phase shift of the laser beam with respect to a laser propagating in flat space. It can be calculated from the weak-field spacetime metric (see chapter 18 in [124]):
equation M95
Here, c is the speed of light, ds is the so-called line element of a path in spacetime, and equation M10. Additionally, for this metric to hold, motion of particles in the source of the gravity potential responsible for changes of the gravity potential need to be much slower than the speed of light, and also stresses inside the source must be much smaller than its mass energy density. All conditions are fulfilled in the case of Earth gravity field. Light follows null geodesics with ds2 = 0. For the spacetime metric in Eq. (5), we can immediately write
equation M116
As we will find out, this equation can directly be used to calculate the time delay as an integral along a straight line in terms of the coordinates equation M12, but this is not immediately clear since light bends in a gravity field. So one may wonder if integration along the proper light path instead of a straight line yields additional significant corrections. The so-called geodesic equation must be used to calculate the path. It is a set of four differential equations, one for each coordinate t, equation M13 in terms of a parameter λ. The weak-field geodesic equation is obtained from the metric in Eq. (5):
equation M147
where we have made use of Eq. (6) and the slow-motion condition equation M15. The coordinates equation M16 are to be understood as functions of λ. Since the deviation of a straight path is due to a weak gravity potential, we can solve these equations by perturbation theory introducing expansions equation M17 and t = t(0) +t(1) + …. The superscript indicates the order in ψ/c2. The unperturbed path has the simple parametrization
equation M188
We have chosen integration constants such that unperturbed time t(0) and parameter λ can be used interchangeably (apart from a shift by t0). Inserting these expressions into the right-hand side of Eq. (7), we obtain
equation M199
As we can see, up to linear order in equation M20, the deviation equation M21 is in orthogonal direction to the unperturbed path equation M22, which means that the deviation can be neglected in the calculation of the time delay. After some transformations, it is possible to derive Eq. (6) from Eq. (9), and this time we find explicitly that the right-hand-side of the equation only depends on the unperturbed coordinates1. In other words, we can integrate the time delay along a straight line as defined in Eq. (8), and so the total phase integrated over a travel distance L is given by
equation M2310
In static gravity fields, the phase shift doubles if the light is sent back since not only the direction of integration changes, but also the sign of the expression substituted for dt/dλ.
Gravity induced ground motion As we will learn in Section 3, seismic fields produce gravity perturbations either through density fluctuations of the ground, or by displacing interfaces between two materials of different density. It is also well-known in seismology that seismic fields can be affected significantly by self-gravity. Self-gravity means that the gravity perturbation produced by a seismic field acts back on the seismic field. The effect is most significant at low frequency where gravity induced acceleration competes against acceleration from elastic forces. In seismology, low-frequency seismic fields are best described in terms of Earth’s normal modes [55]. Normal modes exist as toroidal modes and spheroidal modes. Spheroidal modes are influenced by self-gravity, toroidal modes are not. For example, predictions of frequencies and shapes of spheroidal modes based on Earth models such as PREM (Preliminary Reference Earth Model) [68] are inaccurate if self-gravity effects are excluded. What this practically means is that in addition to displacement amplitudes, gravity becomes a dynamical variable in the elastodynamic equations that determine the normal-mode properties. Therefore, seismic displacement and gravity perturbation cannot be separated in normal-mode formalism (although self-gravity can be neglected in calculations of spheroidal modes at sufficiently high frequency).
In certain situations, it is necessary or at least more intuitive to separate gravity from seismic fields. An exotic example is Earth’s response to GWs [67, 49, 47, 30, 48]. Another example is the seismic response to gravity perturbations produced by strong seismic events at large distance to the source as described in Section 4. It is more challenging to analyze this scenario using normal-mode formalism. The sum over all normal modes excited by the seismic event (each of which describing a global displacement field) must lead to destructive interference of seismic displacement at large distances (where seismic waves have not yet arrived), but not of the gravity amplitudes since gravity is immediately perturbed everywhere. It can be easier to first calculate the gravity perturbation from the seismic perturbation, and then to calculate the response of the seismic field to the gravity perturbation at larger distance. This method will be adopted in this section. Gravity fields will be represented as arbitrary force or tidal fields (detailed models are presented in later sections), and we simply calculate the response of the seismic field. Normal-mode formalism can be avoided only at sufficiently high frequencies where the curvature of Earth does not significantly influence the response (i.e., well above 10 mHz). In this section, we will model the ground as homogeneous half space, but also more complex geologies can in principle be assumed.
Gravity can be introduced in two ways into the elastodynamic equations, as a conservative force −∇ψ [146, 169], or as tidal strain The latter method was described first by Dyson to calculate Earth’s response to GWs [67]. The approach also works for Newtonian gravity, with the difference that the tidal field produced by a GW is necessarily a quadrupole field with only two degrees of freedom (polarizations), while tidal fields produced by terrestrial sources are less constrained. Certainly, GWs can only be fully described in the framework of general relativity, which means that their representation as a Newtonian tidal field cannot be used to explain all possible observations [124]. Nonetheless, important here is that Dyson’s method can be extended to Newtonian tidal fields. Without gravity, the elastodynamic equations for small seismic displacement can be written as
equation M2411
where equation M25 is the seismic displacement field, and equation M26 is the stress tensor [9]. In the absence of other forces, the stress is determined by the seismic field. In the case of a homogeneous and isotropic medium, the stress tensor for small seismic displacement can be written as
equation M2712
The quantity equation M28 is known as seismic strain tensor, and λ, μ are the Lamé constants (see Section 3.1). Its trace is equal to the divergence of the displacement field. Dyson introduced the tidal field from first principles using Lagrangian mechanics, but we can follow a simpler approach. Eq. (12) means that a stress field builds up in response to a seismic strain field, and the divergence of the stress field acts as a force producing seismic displacement. The same happens in response to a tidal field, which we represent as gravity strain equation M29. A strain field changes the distance between two freely falling test masses separated by equation M30 by equation M312. For sufficiently small distances L, the strain field can be substituted by the second time integral of the gravity-gradient tensor equation M32. If the masses are not freely falling, then the strain field acts as an additional force. The corresponding contribution to the material’s stress tensor can be written
equation M3313
Since we assume that the gravity field is produced by a distant source, the local contribution to gravity perturbations is neglected, which means that the gravity potential obeys the Laplace equation, equation M34. Calculating the divergence of the stress tensor according to Eq. (11), we find that the gravity term vanishes! This means that a homogeneous and isotropic medium does not respond to gravity strain fields. However, we have to be more careful here. Our goal is to calculate the response of a half-space to gravity strain. Even if the half-space is homogeneous, the Lamé constants change discontinuously across the surface. Hence, at the surface, the divergence of the stress tensor reads
equation M3514
In other words, tidal fields produce a force onto an elastic medium via gradients in the shear modulus (second Lamé constant). The gradient of the shear modulus can be written in terms of a Dirac delta function, equation M36, for a flat surface at z = 0 with unit normal vector equation M37. The response to gravity strain fields is obtained applying the boundary condition of vanishing surface traction, equation M38:
equation M3915
Once the seismic strain field is calculated, it can be used to obtain the seismic stress, which determines the displacement field equation M40 according to Eq. (11). In this way, one can for example calculate that a seismometer or gravimeter can observe GWs by monitoring surface displacement as was first calculated by Dyson [67].
Coupling in non-uniform, static gravity fields If the gravity field is static, but non-uniform, then displacement equation M41 of the test mass in this field due to a non-gravitational fluctuating force is associated with a changing gravity acceleration according to
equation M4216
We introduce a characteristic length λ, over which gravity acceleration varies significantly. Hence, we can rewrite the last equation in terms of the associated test-mass displacement ζ
equation M4317
where we have neglected directional dependence and numerical factors. The acceleration change from motion in static, inhomogeneous fields is generally more significant at low frequencies. Let us consider the specific case of a suspended test mass. It responds to fluctuations in horizontal gravity acceleration. The test mass follows the motion of the suspension point in vertical direction (i.e., no seismic isolation), while seismic noise in horizontal direction is suppressed according to Eq. (3). Accordingly, it is possible that the unsuppressed vertical (z-axis) seismic noise ξz(t) coupling into the horizontal (x-axis) motion of the test mass through the term ∂xgz = ∂zgx dominates over the gravity response term in Eq. (2). Due to additional coupling mechanisms between vertical and horizontal motion in real seismic-isolation systems, test masses especially in GW detectors are also isolated in vertical direction, but without achieving the same noise suppression as in horizontal direction. For example, the requirements on vertical test-mass displacement for Advanced LIGO are a factor 1000 less stringent than on the horizontal displacement [22]. Requirements can be set on the vertical isolation by estimating the coupling of vertical motion into horizontal motion, which needs to take the gravity-gradient coupling of Eq. (16) into account. Although, because of the frequency dependence, gravity-gradient effects are more significant in low-frequency detectors, such as the space-borne GW detector LISA [154].
Next, we calculate an estimate of gravity gradients in the vicinity of test masses in large-scale GW detectors, and see if the gravity-gradient coupling matters compared to mechanical vertical-to-horizontal coupling.
One contribution to gravity gradients will come from the vacuum chamber surrounding the test mass. We approximate the shape of the chamber as a hollow cylinder with open ends (open ends just to simplify the calculation). In our calculation, the test mass can be offset from the cylinder axis and be located at any distance to the cylinder ends (we refer to this coordinate as height). The gravity field can be expressed in terms of elliptic integrals, but the explicit solution is not of concern here. Instead, let us take a look at the results in Figure Figure1.1. Gravity gradients ∂zgx vanish if the test mass is located on the symmetry axis or at height L/2. There are also two additional ∂zgx = 0 contour lines starting at the symmetry axis at heights ∼ 0.24 and ∼0.76. Let us assume that the test mass is at height 0.3L, a distance 0.05L from the cylinder axis, the total mass of the cylinder is M = 5000 kg, and the cylinder height is L = 4 m. In this case, the gravity-gradient induced vertical-to-horizontal coupling factor at 20 Hz is
equation M4418
This means that gravity-gradient induced coupling is extremely weak, and lies well below estimates of mechanical coupling (of order 0.001 in Advanced LIGO3). Even though the vacuum chamber was modelled with a very simple shape, and additional asymmetries in the mass distribution around the test mass may increase gravity gradients, it still seems very unlikely that the coupling would be significant. As mentioned before, one certainly needs to pay more attention when calculating the coupling at lower frequencies. The best procedure is of course to have a 3D model of the near test-mass infrastructure available and to use it for a precise calculation of the gravity-gradient field.
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Figure 1
Gravity gradients inside hollow cylinder. The total height of the cylinder is L, and M is its total mass. The radius of the cylinder is 0.3L. The axes correspond to the distance of the test mass from the symmetry axis of the cylinder, and its height above one of the cylinders ends. The plot on the right is simply a zoom of the left plot into the intermediate heights.
Gravimeters
Gravimeters are instruments that measure the displacement of a test mass with respect to a non-inertial reference rigidly connected to the ground. The test mass is typically supported mechanically or magnetically (atom-interferometric gravimeters are an exception), which means that the test-mass response to gravity is altered with respect to a freely falling test mass. We will use Eq. (2) as a simplified response model. There are various possibilities to measure the displacement of a test mass. The most widespread displacement sensors are based on capacitive readout, as for example used in superconducting gravimeters (see Figure Figure22 and [96]). Sensitive displacement measurements are in principle also possible with optical readout systems; a method that is (necessarily) implemented in atom-interferometric gravimeters [137], and prototype seismometers [34] (we will explain the distinction between seismometers and gravimeters below). As will become clear in Section 2.4, optical readout is better suited for displacement measurements over long baselines, as required for the most sensitive gravity strain measurements, while the capacitive readout should be designed with the smallest possible distance between the test mass and the non-inertial reference [104].
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Figure 2
Sketch of a levitated sphere serving as test mass in a superconducting gravimeter. Dashed lines indicate magnetic field lines. Coils are used for levitation and precise positioning of the sphere. Image reproduced with permission from [96]; copyright by Elsevier.
Let us take a closer look at the basic measurement scheme of a superconducting gravimeter shown in Figure Figure2.2. The central part is formed by a spherical superconducting shell that is levitated by superconducting coils. Superconductivity provides stability of the measurement, and also avoids some forms of noise (see [96] for details). In this gravimeter design, the lower coil is responsible mostly to balance the mean gravitational force acting on the sphere, while the upper coil modifies the magnetic gradient such that a certain “spring constant” of the magnetic levitation is realized. In other words, the current in the upper coil determines the resonance frequency in Eq. (2).
Capacitor plates are distributed around the sphere. Whenever a force acts on the sphere, the small signal produced in the capacitive readout is used to immediately cancel this force by a feedback coil. In this way, the sphere is kept at a constant location with respect to the external frame. This illustrates a common concept in all gravimeters. The displacement sensors can only respond to relative displacement between a test mass and a surrounding structure. If small gravity fluctuations are to be measured, then it is not sufficient to realize low-noise readout systems, but also vibrations of the surrounding structure forming the reference frame must be as small as possible. In general, as we will further explore in the coming sections, gravity fluctuations are increasingly dominant with decreasing frequency. At about 1 mHz, gravity acceleration associated with fluctuating seismic fields become comparable to seismic acceleration, and also atmospheric gravity noise starts to be significant [53]. At higher frequencies, seismic acceleration is much stronger than typical gravity fluctuations, which means that the gravimeter effectively operates as a seismometer. In summary, at sufficiently low frequencies, the gravimeter senses gravity accelerations of the test mass with respect to a relatively quiet reference, while at higher frequencies, the gravimeter senses seismic accelerations of the reference with respect to a test mass subject to relatively small gravity fluctuations. In superconducting gravimeters, the third important contribution to the response is caused by vertical motion ξ(t) of a levitated sphere against a static gravity gradient (see Section 2.1.4). As explained above, feedback control suppresses relative motion between sphere and gravimeter frame, which causes the sphere to move as if attached to the frame or ground. In the presence of a static gravity gradient ∂zgz, the motion of the sphere against this gradient leads to a change in gravity, which alters the feedback force (and therefore the recorded signal). The full contribution from gravitational, δa(t), and seismic, equation M45, accelerations can therefore be written
equation M4619
It is easy to verify, using Eqs. (2) and (3), that the relative amplitude of gravity and seismic fluctuations from the first two terms is independent of the test-mass support. Therefore, vertical seismic displacement of the reference frame must be considered fundamental noise of gravimeters and can only be avoided by choosing a quiet measurement site. Obviously, Eq. (19) is based on a simplified support model. One of the important design goals of the mechanical support is to minimize additional noise due to non-linearities and cross-coupling. As is explained further in Section 2.3, it is also not possible to suppress seismic noise in gravimeters by subtracting the disturbance using data from a collocated seismometer. Doing so inevitably turns the gravimeter into a gravity gradiometer.
Gravimeters target signals that typically lie well below 1 mHz. Mechanical or magnetic supports of test masses have resonance frequencies at best slightly below 10 mHz along horizontal directions, and typically above 0.1 Hz in the vertical direction [23, 174]4. Well below resonance frequency, the response function can be approximated as equation M47. At first, it may look as if the gravimeter should not be sensitive to very low-frequency fluctuations since the response becomes very weak. However, the strength of gravity fluctuations also strongly increases with decreasing frequency, which compensates the small response. It is clear though that if the resonance frequency was sufficiently high, then the response would become so weak that the gravity signal would not stand out above other instrumental noise anymore. The test-mass support would be too stiff. The sensitivity of the gravimeter depends on the resonance frequency of the support and the intrinsic instrumental noise. With respect to seismic noise, the stiffness of the support has no influence as explained before (the test mass can also fall freely as in atom interferometers).
For superconducting gravimeters of the Global Geodynamics Project (GGP) [52], the median spectra are shown in Figure Figure3.3. Between 0.1 mHz and 1 mHz, atmospheric gravity perturbations typically dominate, while instrumental noise is the largest contribution between 1 mHz and 5 mHz [96]. The smallest signal amplitudes that have been measured by integrating long-duration signals is about 10−12 m/s2. A detailed study of noise in superconducting gravimeters over a larger frequency range can be found in [145]. Note that in some cases, it is not fit to categorize seismic and gravity fluctuations as noise and signal. For example, Earth’s spherical normal modes coherently excite seismic and gravity fluctuations, and the individual contributions in Eq. (19) have to be understood only to accurately translate data into normal-mode amplitudes [55].
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Figure 3
Median spectra of superconducting gravimeters of the GGP. Image reproduced with permission from [48]; copyright by APS.
Gravity gradiometers
It is not the purpose of this section to give a complete overview of the different gradiometer designs. Gradiometers find many practical applications, for example in navigation and resource exploration, often with the goal to measure static or slowly changing gravity gradients, which do not concern us here. For example, we will not discuss rotating gradiometers, and instead focus on gradiometers consisting of stationary test masses. While the former are ideally suited to measure static or slowly changing gravity gradients with high precision especially under noisy conditions, the latter design has advantages when measuring weak tidal fluctuations. In the following, we only refer to the stationary design. A gravity gradiometer measures the relative acceleration between two test masses each responding to fluctuations of the gravity field [102, 125]. The test masses have to be located close to each other so that the approximation in Eq. (4) holds. The proximity of the test masses is used here as the defining property of gradiometers. They are therefore a special type of gravity strainmeter (see Section 2.4), which denotes any type of instrument that measures relative gravitational acceleration (including the even more general concept of measuring space-time strain).
Gravity gradiometers can be realized in two versions. First, one can read out the position of two test masses with respect to the same rigid, non-inertial reference. The two channels, each of which can be considered a gravimeter, are subsequently subtracted. This scheme is for example realized in dual-sphere designs of superconducting gravity gradiometers [90] or in atom-interferometric gravity gradiometers [159].
It is schematically shown in Figure Figure4.4. Let us first consider the dual-sphere design of a superconducting gradiometer. If the reference is perfectly stiff, and if we assume as before that there are no cross-couplings between degrees of freedom and the response is linear, then the subtraction of the two gravity channels cancels all of the seismic noise, leaving only the instrumental noise and the differential gravity signal given by the second line of Eq. (4). Even in real setups, the reduction of seismic noise can be many orders of magnitude since the two spheres are close to each other, and the two readouts pick up (almost) the same seismic noise [125]. This does not mean though that gradiometers are necessarily more sensitive instruments to monitor gravity fields. A large part of the gravity signal (the common-mode part) is subtracted together with the seismic noise, and the challenge is now passed from finding a seismically quiet site to developing an instrument with lowest possible intrinsic noise.
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Figure 4
Basic scheme of a gravity gradiometer for measurements along the vertical direction. Two test masses are supported by horizontal cantilevers (superconducting magnets, …). Acceleration of both test masses is measured against the same non-inertial reference frame, which is connected to the ground. Each measurement constitutes one gravimeter. Subtraction of the two channels yields a gravity gradiometer.
The atom-interferometric gradiometer differs in some important details from the superconducting gradiometer. The test masses are realized by ultracold atom clouds, which are (nearly) freely falling provided that magnetic shielding of the atoms is sufficient, and interaction between atoms can be neglected. Interactions of a pair of atom clouds with a laser beam constitute the basic gravity gradiometer scheme. Even though the test masses are freely falling, the readout is not generally immune to seismic noise [80, 18]. The laser beam interacting with the atom clouds originates from a source subject to seismic disturbances, and interacts with optics that require seismic isolation. Schemes have been proposed that could lead to a large reduction of seismic noise [178, 77], but their effectiveness has not been tested in experiments yet. Since the differential position (or tidal) measurement is performed using a laser beam, the natural application of atom-interferometer technology is as gravity strainmeter (as explained before, laser beams are favorable for differential position measurements over long baselines). Nonetheless, the technology is currently insufficiently developed to realize large-baseline experiments, and we can therefore focus on its application in gradiometry. Let us take a closer look at the response of atom-interferometric gradiometers to seismic noise. In atom-interferometric detectors (excluding the new schemes proposed in [178, 77]), one can show that seismic acceleration δα(ω) of the optics or laser source limits the sensitivity of a tidal measurement according to
equation M4820
where L is the separation of the two atom clouds, and is the speed of light. It should be emphasized that the seismic noise remains, even if all optics and the laser source are all linked to the same infinitely stiff frame. In addition to this noise term, other coupling mechanisms may play a role, which can however be suppressed by engineering efforts. The noise-reduction factor ωL/c needs to be compared with the common-mode suppression of seismic noise in superconducting gravity gradiometers, which depends on the stiffness of the instrument frame, and on contamination from cross coupling of degrees-of-freedom. While the seismic noise in Eq. (20) is a fundamental noise contribution in (conventional) atom-interferometric gradiometers, the noise suppression in superconducting gradiometers depends more strongly on the engineering effort (at least, we venture to claim that common-mode suppression achieved in current instrument designs is well below what is fundamentally possible).
To conclude this section, we discuss in more detail the connection between gravity gradiometers and seismically (actively or passively) isolated gravimeters. As we have explained in Section 2.2, the sensitivity limitation of gravimeters by seismic noise is independent of the mechanical support of the test mass (assuming an ideal, linear support). The main purpose of the mechanical support is to maximize the response of the test mass to gravity fluctuations, and thereby increase the signal with respect to instrumental noise other than seismic noise. Here we will explain that even a seismic isolation of the gravimeter cannot overcome this noise limitation, at least not without fundamentally changing its response to gravity fluctuations. Let us first consider the case of a passively seismically isolated gravimeter. For example, we can imagine that the gravimeter is suspended from the tip of a strong horizontal cantilever. The system can be modelled as two oscillators in a chain, with a light test mass m supported by a heavy mass M representing the gravimeter (reference) frame, which is itself supported from a point rigidly connected to Earth. The two supports are modelled as harmonic oscillators. As before, we neglect cross coupling between degrees of freedom. Linearizing the response of the gravimeter frame and test mass for small accelerations, and further neglecting terms proportional to m/M, one finds the gravimeter response to gravity fluctuations:
equation M4921
Here, ω1, γ1 are the resonance frequency and damping of the gravimeter support, while ω2, γ2 are the resonance frequency and damping of the test-mass support. The response and isolation functions R(·), S(·) are defined in Eqs. (2) and (3). Remember that Eq. (21) is obtained as a differential measurement of test-mass acceleration versus acceleration of the reference frame. Therefore, δg1(ω) denotes the gravity fluctuation at the center-of-mass of the gravimeter frame, and δg2(ω) at the test mass. An infinitely stiff gravimeter suspension, ω1 → ∞, yields R(ω; ω1, γ1) = 0, and the response turns into the form of the non-isolated gravimeter. The seismic isolation is determined by
equation M5022
We can summarize the last two equations as follows. At frequencies well above ω1, the seismically isolated gravimeter responds like a gravity gradiometer, and seismic noise is strongly suppressed. The deviation from the pure gradiometer response ∼ δg2(ω) − δg1(ω) is determined by the same function S(ω; ω1, γ1) that describes the seismic isolation. In other words, if the gravity gradient was negligible, then we ended up with the conventional gravimeter response, with signals suppressed by the seismic isolation function. Well below ω1, the seismically isolated gravimeter responds like a conventional gravimeter without seismic-noise reduction. If the centers of the masses m (test mass) and M (reference frame) coincide, and therefore δg1(ω) = δg2(ω), then the response is again like a conventional gravimeter, but this time suppressed by the isolation function S(ω; ω1, γ1).
Let us compare the passively isolated gravimeter with an actively isolated gravimeter. In active isolation, the idea is to place the gravimeter on a stiff platform whose orientation can be controlled by actuators. Without actuation, the platform simply follows local surface motion. There are two ways to realize an active isolation. One way is to place a seismometer next to the platform onto the ground, and use its data to subtract ground motion from the platform. The actuators cancel the seismic forces. This scheme is called feed-forward noise cancellation. Feed-forward cancellation of gravity noise is discussed at length in Section 7.1, which provides details on its implementation and limitations. The second possibility is to place the seismometer together with the gravimeter onto the platform, and to suppress seismic noise in a feedback configuration [4, 2]. In the following, we discuss the feed-forward technique as an example since it is easier to analyze (for example, feedback control can be unstable [4]). As before, we focus on gravity and seismic fluctuations. The seismometer’s intrinsic noise plays an important role in active isolation limiting its performance, but we are only interested in the modification of the gravimeter’s response. Since there is no fundamental difference in how a seismometer and a gravimeter respond to seismic and gravity fluctuations, we know from Section 2.2 that the seismometer output is proportional to δg1(ω) − δα(ω), i.e., using a single test mass for acceleration measurements, seismic and gravity perturbations contribute in the same way. A transfer function needs to be multiplied to the acceleration signals, which accounts for the mechanical support and possibly also electronic circuits involved in the seismometer readout. To cancel the seismic noise of the platform that carries the gravimeter, the effect of all transfer functions needs to be reversed by a matched feed-forward filter. The output of the filter is then equal to δg1(ω) − δα(ω) and is added to the motion of the platform using actuators cancelling the seismic noise and adding the seismometer’s gravity signal. In this case, the seismometer’s gravity signal takes the place of the seismic noise in Eq. (3). The complete gravity response of the actively isolated gravimeter then reads
equation M5123
The response is identical to a gravity gradiometer, where ω2, γ2 are the resonance frequency and damping of the gravimeter’s test-mass support. In reality, instrumental noise of the seismometer will limit the isolation performance and introduce additional noise into Eq. (23). Nonetheless, Eqs. (21) and (23) show that any form of seismic isolation turns a gravimeter into a gravity gradiometer at frequencies where seismic isolation is effective. For the passive seismic isolation, this means that the gravimeter responds like a gradiometer at frequencies well above the resonance frequency ω1 of the gravimeter support, while it behaves like a conventional gravimeter below ω1. From these results it is clear that the design of seismic isolations and the gravity response can in general not be treated independently. As we will see in Section 2.4 though, tidal measurements can profit strongly from seismic isolation especially when common-mode suppression of seismic noise like in gradiometers is insufficient or completely absent.
Gravity strainmeters
Gravity strain is an unusual concept in gravimetry that stems from our modern understanding of gravity in the framework of general relativity. From an observational point of view, it is not much different from elastic strain. Fluctuating gravity strain causes a change in distance between two freely falling test masses, while seismic or elastic strain causes a change in distance between two test masses bolted to an elastic medium. It should be emphasized though that we cannot always use this analogy to understand observations of gravity strain [106]. Fundamentally, gravity strain corresponds to a perturbation of the metric that determines the geometrical properties of spacetime [124]. We will briefly discuss GWs, before returning to a Newtonian description of gravity strain.
Gravitational waves are weak perturbations of spacetime propagating at the speed of light. Freely falling test masses change their distance in the field of a GW. When the length of the GW is much larger than the separation between the test masses, it is possible to interpret this change as if caused by a Newtonian force. We call this the long-wavelength regime. Since we are interested in the low-frequency response of gravity strainmeters throughout this article (i.e., frequencies well below 100 Hz), this condition is always fulfilled for Earth-bound experiments. The effect of a gravity-strain field equation M52 on a pair of test masses can then be represented as an equivalent Newtonian tidal field
equation M5324
Here, equation M54 is the relative acceleration between two freely falling test masses, L is the distance between them, and equation M55 is the unit vector pointing from one to the other test mass, and equation M56 its transpose. As can be seen, the gravity-strain field is represented by a 3 × 3 tensor. It contains the space-components of a 4-dimensional metric perturbation of spacetime, and determines all properties of GWs5. Note that the strain amplitude h in Eq. (24) needs to be multiplied by 2 to obtain the corresponding amplitude of the metric perturbation (e.g., the GW amplitude). Throughout this article, we define gravity strain as h = ΔL/L, while the effect of a GW with amplitude aGW on the separation of two test mass is determined by aGW = 2ΔL/L.
The strain field of a GW takes the form of a quadrupole oscillation with two possible polarizations commonly denoted × (cross)-polarization and +(plus)-polarization. The arrows in Figure Figure55 indicate the lines of the equivalent tidal field of Eq. (24).
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Figure 5
Polarizations of a gravitational wave.
Consequently, to (directly) observe GWs, one can follow two possible schemes: (1) the conventional method, which is a measurement of the relative displacement of suspended test masses typically carried out along two perpendicular baselines (arms); and (2) measurement of the relative rotation between two suspended bars. Figure Figure66 illustrates the two cases. In either case, the response of a gravity strainmeter is obtained by projecting the gravity strain tensor onto a combination of two unit vectors, equation M57 and equation M58, that characterize the orientation of the detector, such as the directions of two bars in a rotational gravity strain meter, or of two arms of a conventional gravity strain meter. This requires us to define two different gravity strain projections. The projection for the rotational strain measurement is given by
equation M5925
where the subscript × indicates that the detector responds to the ×-polarization assuming that the x, y-axes (see Figure Figure5)5) are oriented along two perpendicular bars. The vectors equation M60 and equation M61 are rotated counter-clockwise by 90° with respect to equation M62 and equation M63. In the case of perpendicular bars equation M64 and equation M65. The corresponding projection for the conventional gravity strain meter reads
equation M6626
The subscript + indicates that the detector responds to the +-polarization provided that the x, y-axes are oriented along two perpendicular baselines (arms) of the detector. The two schemes are shown in Figure Figure6.6. The most sensitive GW detectors are based on the conventional method, and distance between test masses is measured by means of laser interferometry. The LIGO and Virgo detectors have achieved strain sensitivities of better than 10−22 Hz−1/2 between about 50 Hz and 1000 Hz in past science runs and are currently being commissioned in their advanced configurations [91, 7]. The rotational scheme is realized in torsion-bar antennas, which are considered as possible technology for sub-Hz GW detection [155, 69]. However, with achieved strain sensitivity of about 10−8 Hz−1/2 near 0.1 Hz, the torsion-bar detectors are far from the sensitivity we expect to be necessary for GW detection [88].
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Figure 6
Sketches of the relative rotational and displacement measurement schemes.
Let us now return to the discussion of the previous sections on the role of seismic isolation and its impact on gravity response. Gravity strainmeters profit from seismic isolation more than gravimeters or gravity gradiometers. We have shown in Section 2.2 that seismically isolated gravimeters are effectively gravity gradiometers. So in this case, seismic isolation changes the response of the instrument in a fundamental way, and it does not make sense to talk of seismically isolated gravimeters. Seismic isolation could in principle be beneficial for gravity gradiometers (i.e., the acceleration of two test masses is measured with respect to a common rigid, seismically isolated reference frame), but the common-mode rejection of seismic noise (and gravity signals) due to the differential readout is typically so high that other instrumental noise becomes dominant. So it is possible that some gradiometers would profit from seismic isolation, but it is not generally true. Let us now consider the case of a gravity strainmeter. As explained in Section 2.3, we distinguish gradiometers and strainmeters by the distance of their test masses. For example, the distance of the LIGO or Virgo test masses is 4 km and 3 km respectively. Seismic noise and terrestrial gravity fluctuations are insignificantly correlated between the two test masses within the detectors’ most sensitive frequency band (above 10 Hz). Therefore, the approximation in Eq. (4) does not apply. Certainly, the distinction between gravity gradiometers and strainmeters remains somewhat arbitrary since at any frequency the approximation in Eq. (4) can hold for one type of gravity fluctuation, while it does not hold for another. Let us adopt a more practical definition at this point. Whenever the design of the instrument places the test masses as distant as possible from each other given current technology, then we call such an instrument strainmeter. In the following, we will discuss seismic isolation and gravity response for three strainmeter designs, the laser-interferometric, atom-interferometric, and superconducting strainmeters. It should be emphasized that the atom-interferometric and superconducting concepts are still in the beginning of their development and have not been realized yet with scientifically interesting sensitivities.
Laser-interferometric strainmeters The most sensitive gravity strainmeters, namely the large-scale GW detectors, use laser interferometry to read out the relative displacement between mirror pairs forming the test masses. Each test mass in these detectors is suspended from a seismically isolated platform, with the suspension itself providing additional seismic isolation. Section 2.1.1 introduced a simplified response and isolation model based on a harmonic oscillator characterized by a resonance frequency ω0 and viscous damping γ6. In a multi-stage isolation and suspension system as realized in GW detectors (see for example [37, 121]), coupling between multiple oscillators cannot be neglected, and is fundamental to the seismic isolation performance, but the basic features can still be explained with the simplified isolation and response model of Eqs. (2) and (3). The signal output of the interferometer is proportional to the relative displacement between test masses. Since seismic noise is approximately uncorrelated between two distant test masses, the differential measurement itself cannot reject seismic noise as in gravity gradiometers. Without seismic isolation, the dominant signal would be seismic strain, i.e., the distance change between test masses due to elastic deformation of the ground, with a value of about 10−15 Hz−1/2 at 50 Hz (assuming kilometer-scale arm lengths). At the same time, without seismically isolated test masses, the gravity signal can only come from the ground response to gravity fluctuations as described in Section 2.1.3, and from the Shapiro time delay as described in Section 2.1.2.
The Analytical Laboratory Drawer (ALD) – the rover’s onboard laboratory where soil samples acquired with the drill will be processed and analysed – was the focus of recent testing activities at Thales Alenia Space, Turin, Italy. Seen here is the ALD qualification model entering the test chamber. This six-week long test period is part of the ALD qualification process, whereby the functionality of the thermal control system, cleanliness requirements, scientific instruments and sample processing mechanisms are verified. The test used Mars analogue samples and took place under simulated Mars environment conditions – a low pressure, carbon dioxide atmosphere and a range of temperatures covering extreme cases from -50ºC to +50ºC.
Credits: TAS-I
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Sure, it's not about quantity, but I do like the graphs :)
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
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Chao He and Diane C. Kostroch present during the Analytical Corner titled “Climate Change Challenges in Latin America & the Caribbean” for the 2021 Annual Meetings at the International Monetary Fund.
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