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Recentemente visitei a Arena das dunas, como podem ver, algumas cadeiras ainda possuem os plásticos.

objects left behind

Macro of Mysterious Object: Shadow

Brisbane Riverside Expressway

Story behind: My boyfriend and I have always been in a long distance relationship, writing letters, sending postcards is our thing. But recently due to the global pandemic, our letters never arrive. This inspires me to the glitch art technique used.

OLYMPUS DIGITAL CAMERA

Object picture, Freight Train

A nearly perfect ring of hot, blue stars pinwheels about the yellow nucleus of an unusual galaxy known as Hoag's Object in this image by Hubble's Wide Field and Planetary Camera 2.

 

The blue ring, which is dominated by clusters of young, massive stars, contrasts sharply with the yellow nucleus of mostly older stars. What appears to be a "gap" separating the two stellar populations may actually contain some star clusters that are almost too faint to see. Curiously, an object that bears an uncanny resemblance to Hoag's Object can be seen in the gap at the one o'clock position. The object is probably a background ring galaxy.

 

Ring-shaped galaxies can form in several different ways. One possible scenario is through a collision with another galaxy. The blue ring of stars may be the shredded remains of a galaxy that passed nearby. Some astronomers estimate that the encounter occurred about 2 to 3 billion years ago.

 

For more information, please visit: hubblesite.org/image/1241/news_release/2002-21

 

Credit: NASA and the Hubble Heritage Team (STScI/AURA);

Acknowledgment: Ray A. Lucas (STScI/AURA)

 

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Yes, those are real dentures...

 

A new addition to the adoptabot orphanage, this is a robot sculpture assembled from found objects by Brian Marshall - Wilmington, DE. Items included in my sculptures vary from vintage household kitchen items to recycled industrial scrap. Some of my favorite items to use are old oil cans, aluminum measuring spoons, electrical meters, retro blenders, anodized cups, and pencil sharpeners.

Gallery at home

Repeating a semi-failed experiment from 2019 (with hoped-for improvements), another round of pinhole cameras were laid on the perimeter fence of the Nike Missle site at the Headlands to be left for a year. Spanning the time between two Hiroshima anniversaries, recording every passage of the sun from August 6 to the next August 6, these photographs are my exploration of the Bay Area’s infrastructure of nuclear war. These photo paper negatives were made in film canister pinholes using a piece of old Soviet photo paper, producing an image known as a lumen print which appears without using developer...

An electrical meter and a few other random objects outside a building. (6569a)

ID: 003658

This picture is (c) Copyright Frank Titze, all rights reserved.

It may NOT be reproduced, copied, edited, published, transmitted or uploaded in any way without my permission.

See more pictures on frank-titze.art.

 

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ID: 003650

This picture is (c) Copyright Frank Titze, all rights reserved.

It may NOT be reproduced, copied, edited, published, transmitted or uploaded in any way without my permission.

See more pictures on frank-titze.art.

 

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This is me ripping off Mark Weaver

ID: 003655

This picture is (c) Copyright Frank Titze, all rights reserved.

It may NOT be reproduced, copied, edited, published, transmitted or uploaded in any way without my permission.

See more pictures on frank-titze.art.

 

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虎ノ門ヒルズにて

Made from objects in my own photographs. I may add more objects in the future.

An unknown object buzzes the ISRO PSLV rocket Carrying Aditya L1 into space, 02.09.2023. It's extremely fast. Watch closely in this video, bottom right of the rocket it appears as a dot and grows in size as it comes closer to the rocket

youtu.be/zrNbn5rIHtE

 

Here is my analysis of this event astronomymagic.wordpress.com/about/ufo-inspects-rocket/

Oil on canvas

11" x 14"

June 2015

 

None of This Was Real is a series of oil paintings that portrays fictional scenes of objects randomly generated by a computer program. These objects are a product of code written by the artist and rendered using a global illumination ray tracing engine. They are effectively subjects for still life. But there was never any life – any reality – in the subjects. Everything was virtual and simulated.

 

The software for creating the reference images was written in Processing (processing.org), with the additional help of toxiclibs (toxiclibs.org) for geometry creation and Sunflow (sunflow.sourceforge.net) for the global illumination rendering engine.

Honolulu - Oahu - Hawaii

Over the long march of biological and now technological evolution, we have finally reached a survival gate — we have enough computational power to model the trajectory all Near-Earth Objects (NEO's) that could threaten life on Earth. This was not possible in the year 2000, or any time over the prior millennia. We have made a million-fold improvement in computation in just the past 20 years. So, we can see the future and predict decades in advance of an impact event and then give the NEO a nudge such that it misses Earth entirely.

 

It’s not like the movies, where you have an asteroid on final approach and try to blow it up somehow (that just turns a rifle into a shotgun blast); instead, you launch a rocket to rear-end it and change its velocity ever so slightly. Integrated over years, that small delta-v makes all the difference. In short, asteroid defense does not end with a bang, but merely a nudge. That is, if you know what you are doing!

 

The non-profit B612 (with co-fiounding astronauts Ed Lu and Rusty Schweickart) did a webinar and demo of their ADAM simulation tool for calculating asteroid orbit propagation. They gave me permission to share the unpublished work of their Asteroid Institute tech team. Here's an unlisted video showing the sim seen here.

 

Rusty Schweickart, the first Lunar Module Pilot summarizes: “We live in a remarkable time in history. We can change the trajectory of the solar system, ever so slightly, and protect life on Earth"

 

Mapping the Final Frontier with ADAM (Asteroid Decision Analysis + Mapping):

 

The ADAM project runs on the Google Compute Engine to provide a cloud platform for large-scale orbital dynamics. Small errors in the initial velocity vector measurements can expand over decades to very different outcomes, especially when gravitational slingshots around the planets occur. So, they run thousands of Monte-Carlo simulations over an array of starting conditions, creating a distribution of points, as seen in the images here, some hitting Earth (red) or a near miss (green). The distribution of endpoints gives a probability of deep impact. As a heuristic patch to some insane computational complexity, we can calculate a probability for the long term, which narrows like a hurricane forecast cone to a certainly as time advances.

 

To reach an accuracy of a few kilometers over many decades, it’s not just the complexity of an n-body problem. They had to model effects such as the curvature of space-time due to General Relativity, the non-sphericity of the Sun, the gravitational asymmetry of the planets, moons and larger asteroids, as well as the non-isotropic thermal re-radiation from rotation of the asteroid.

 

So so the good news: we can do this today, and with each passing year of Moore's Law, we can look further into the future, moving from decades to a 100 years. The further you can see, and the more precisely, the easier the nudge becomes.

 

For input to the model you just need a series of at least three sample points (but more is better). And we are about to get a whole lot better at that. Starting in 2022, LSST will observe ~600,000 asteroids every night, and discover new asteroids at 10X today’s rate. This will accentuate the computation-bounded problem of using this torrent of data.

 

There is something poetic about the computational defense of humanity. And something that rhymes with history. The Space Race of the 60s was won computationally, not by brute force heavy-lift, which would have favored the Soviets.

 

Survival is computational. Intelligence allows us to see the future.

A series of photos of objects which we all might see everyday.

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