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How Good are Humans at Visually Identifying Gravitational Lenses?

How Good are Humans at Visually Identifying Gravitational Lenses?

by Lucas Brown | Feb 16, 2023 | Daily Paper Summaries

In an era of increasing reliance on computers to classify astrophysical imagery, what role do humans have to play? Today’s paper examines human biases in visual searches for gravitational lensing.

Cracking the Code for Galaxy Spectra

Cracking the Code for Galaxy Spectra

by Sahil Hegde | Nov 26, 2022 | Daily Paper Summaries

Today’s authors present a new machine learning approach to modeling galaxy spectra!

A Machine Learning View of Supernova GWs

A Machine Learning View of Supernova GWs

by Lindsay DeMarchi | Oct 4, 2022 | Daily Paper Summaries

How does one measure the gravitational wave signal of a supernova if each event is unique? Is machine learning up to the task? Or is it unknowable?

Adding Gal-ax-ies, It’s Easy as One-Two-Three

Adding Gal-ax-ies, It’s Easy as One-Two-Three

by Sahil Hegde | Aug 1, 2022 | Daily Paper Summaries

Adding galaxies to dark matter simulations might be easier than you thought – today’s authors present a new method to generate synthetic data from relatively low-resolution DM simulations!

Finding young exoplanets with machine learning

Finding young exoplanets with machine learning

by Guest | Jul 30, 2022 | Course Assignments, Daily Paper Summaries

Astronomers have a challenging task ahead of them — to find young exoplanets in protoplanetary disks. Machine Learning could potentially come to the rescue.

Hearing Gravitational Waves with Deep Learning

Hearing Gravitational Waves with Deep Learning

by Guest | Jul 27, 2022 | Daily Paper Summaries

Today’s guest post by Paolo Cremonese explores the application of deep learning methods to the search for gravitational waves.

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