no code implementations • 24 Feb 2023 • Peter Xiangyuan Ma, Steve Croft, Chris Lintott, Andrew P. V. Siemion
This algorithm can be used to improve the efficiency of vetting signals of interest in technosignature searches, but could also be applied to a wider variety of searches for "lookalike" signals in large astronomical datasets.
1 code implementation • 25 Oct 2021 • Mike Walmsley, Anna M. M. Scaife, Chris Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L. Masters, Kameswara Bharadwaj Mantha, Brooke D. Simmons
Models fine-tuned from our representation are better able to identify ring galaxies than models fine-tuned from terrestrial images (ImageNet) or trained from scratch.
1 code implementation • 16 Feb 2021 • Mike Walmsley, Chris Lintott, Tobias Geron, Sandor Kruk, Coleman Krawczyk, Kyle W. Willett, Steven Bamford, Lee S. Kelvin, Lucy Fortson, Yarin Gal, William Keel, Karen L. Masters, Vihang Mehta, Brooke D. Simmons, Rebecca Smethurst, Lewis Smith, Elisabeth M. Baeten, Christine Macmillan
All classifications are used to train an ensemble of Bayesian convolutional neural networks (a state-of-the-art deep learning method) to predict posteriors for the detailed morphology of all 314, 000 galaxies.
no code implementations • 14 Dec 2020 • Leonardo Clarke, Claudia Scarlata, Vihang Mehta, William C. Keel, Carolin Cardamone, Matthew Hayes, Nico Adams, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Chris Lintott, Brooke Simmons
We use new HST images of nine Green Pea Galaxies (GPGs) to study their resolved structure and color.
Astrophysics of Galaxies
no code implementations • 7 Jun 2019 • Nicholas O. Ralph, Ray P. Norris, Gu Fang, Laurence A. F. Park, Timothy J. Galvin, Matthew J. Alger, Heinz Andernach, Chris Lintott, Lawrence Rudnick, Stanislav Shabala, O. Ivy Wong
Our results demonstrate this method is capable of accurately separating outliers on a SOM with neighbourhood similarity and K-means clustering of radio-astronomical features complexity.
1 code implementation • 17 May 2019 • Mike Walmsley, Lewis Smith, Chris Lintott, Yarin Gal, Steven Bamford, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen Masters, Claudia Scarlata, Brooke Simmons, Rebecca Smethurst, Darryl Wright
We use Bayesian convolutional neural networks and a novel generative model of Galaxy Zoo volunteer responses to infer posteriors for the visual morphology of galaxies.
1 code implementation • 5 Feb 2019 • Ashish Mahabal, Umaa Rebbapragada, Richard Walters, Frank J. Masci, Nadejda Blagorodnova, Jan van Roestel, Quan-Zhi Ye, Rahul Biswas, Kevin Burdge, Chan-Kao Chang, Dmitry A. Duev, V. Zach Golkhou, Adam A. Miller, Jakob Nordin, Charlotte Ward, Scott Adams, Eric C. Bellm, Doug Branton, Brian Bue, Chris Cannella, Andrew Connolly, Richard Dekany, Ulrich Feindt, Tiara Hung, Lucy Fortson, Sara Frederick, C. Fremling, Suvi Gezari, Matthew Graham, Steven Groom, Mansi M. Kasliwal, Shrinivas Kulkarni, Thomas Kupfer, Hsing Wen Lin, Chris Lintott, Ragnhild Lunnan, John Parejko, Thomas A. Prince, Reed Riddle, Ben Rusholme, Nicholas Saunders, Nima Sedaghat, David L. Shupe, Leo P. Singer, Maayane T. Soumagnac, Paula Szkody, Yutaro Tachibana, Kushal Tirumala, Sjoert van Velzen, Darryl Wright
The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night.
Instrumentation and Methods for Astrophysics