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Seeing the Universe Through New Lenses


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A Hubble Space Telescope image of a gravitational lens (center).

An international team of scientists found 335 new strong gravitational lensing candidates in data originally collected for a U.S. Department of Energy-supported telescope project.

Credit: Hubble Space Telescope

An international team of researchers  discovered 335 new strong lensing candidates based on a deep dive into data collected for a U.S. Department of Energy-supported telescope project in Arizona called the Dark Energy Spectroscopic Instrument (DESI).

The study relied on a machine learning algorithm that won an international science competition.

The team used Cori, a supercomputer at Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center, to compare imaging data from the Dark Energy Camera Legacy Survey with a training sample of 423 known lenses and 9,451 non-lenses.

The gravitational lensing candidates were identified with the assistance of a neural network originally developed for The Strong Gravitational Lens Finding Challenge programming competition.

From Berkeley Lab News Center
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

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