Rubin Observatory – Cosmic Log

Asteroid hunters make 27,500 new finds in old data

A team of asteroid hunters that includes researchers at the University of Washington says it has identified 27,500 new, high-confidence asteroid discovery candidates — not by making fresh observations of the night sky, but by sifting through archives of astronomical data.

The weeks-long database search was conducted by the Asteroid Institute, a program of the nonprofit B612 Foundation, in partnership with UW’s DiRAC Institute and Google Cloud.

The two institutes developed a program called THOR, which stands for “Tracklet-less Heliocentric Orbit Recovery.” THOR runs on a cloud-based, open-source platform known as ADAM (“Asteroid Discovery Analysis and Mapping”). The program can analyze the positions of millions of moving points of light observed in the sky over a given period of time, and link those points together in ways that are consistent with orbital paths.

Google Cloud’s Office of the CTO collaborated with the Asteroid Institute to fine-tune its algorithms for Google Cloud. The project analyzed 5.4 billion observations drawn from the NOIRLab Source Catalog Data Release 2.

“What is exciting is that we are using electrons in data centers, in addition to the usual photons in telescopes, to make astronomical discoveries,” Ed Lu, executive director of the Asteroid Institute, said in a news release.

Most of the 27,500 asteroid discovery candidates are in the main belt, between the orbits of Mars and Jupiter. But the candidates also include more than 100 apparent near-Earth asteroids.

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Asteroid-hunting algorithm passes a tricky test

A new technique for finding potentially hazardous asteroids before they find us has chalked up its first success.

In this case, the asteroid isn’t expected to threaten Earth anytime in the foreseeable future. But the fact that the technique — which uses a new computer algorithm called HelioLinc3D — actually works comes as a confidence boost as astronomers get set to step up the asteroid hunt with the Vera C. Rubin Observatory in Chile.

The University of Washington’s DiRAC Institute will play a leading role in analyzing the data from the Rubin Observatory, and HelioLinc3D is meant to make the job easier.

It’ll be another couple of years before the Rubin Observatory starts surveying the skies, but researchers put HelioLinc3D to the test by feeding it data from the NASA-funded Asteroid Terrestrial-impact Last Alert System, or ATLAS.

During the July 18 test run, the algorithm combined fragments of ATLAS data from four nights of observations to identify an asteroid that had been previously missed.

The asteroid, designated 2022 SF289 and described in a Minor Planet Electronic Circular, is thought to be about 600 feet wide. That’s wide enough to cause widespread destruction on Earth in the event of an impact. The good news is that projections of 2022 SF289’s orbital path show it staying 140,000 miles away from Earth at its closest. Nevertheless, the space rock fits NASA’s definition of a potentially hazardous asteroid because of its estimated size and the fact that it can come within 5 million miles of our planet.

UW researcher Ari Heinze, the principal developer of HelioLinc3D, said the algorithm’s success should carry over to the Rubin Observatory’s future database.

“By demonstrating the real-world effectiveness of the software that Rubin will use to look for thousands of yet-unknown potentially hazardous asteroids, the discovery of 2022 SF289 makes us all safer,” Heinze said in a news release.

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