Searching for codes credited to 'Willett, Kyle'
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[ascl:1708.004]
Astroquery: Access to online data resources
Ginsburg, Adam;
Parikh, Madhura;
Woillez, Julien;
Groener, Austen;
Liedtke, Simon;
Sipocz, Brigitta;
Robitaille, Thomas;
Deil, Christoph;
Svoboda, Brian;
Tollerud, Erik;
Persson, Magnus Vilhelm;
Séguin-Charbonneau, Loïc;
Armstrong, Caden;
Mirocha, Jordan;
Droettboom, Michael;
Allen, James;
Moolekamp, Fred;
Egeland, Ricky;
Singer, Leo;
Barbary, Kyle;
Grollier, Frédéric;
Shiga, David;
Moritz Günther, Hans;
Parejko, John;
Booker, Joseph;
Rol, Evert;
Edward;
Miller, Adam;
Willett, Kyle
Astroquery allows users to access online astronomical data from a wide range of sources; it is an Astropy-affiliated package. Each web service has its own sub-package for interfacing with a particular data source.
[ascl:2203.027]
Zoobot: Deep learning galaxy morphology classifier
Walmsley, Mike;
Lintott, Chris;
Géron, Tobias;
Kruk, Sandor;
Krawczyk, Coleman;
Willett, Kyle W.;
Bamford, Steven;
Kelvin, Lee S.;
Fortson, Lucy;
Gal, Yarin;
Keel, William;
Masters, Karen L.;
Mehta, Vihang;
Simmons, Brooke D.;
Smethurst, Rebecca;
Smith, Lewis;
Baeten, Elisabeth M.;
Macmillan, Christine
Zoobot classifies galaxy morphology with Bayesian CNN. Deep learning models were trained on volunteer classifications; these models were able to both learn from uncertain volunteer responses and predict full posteriors (rather than point estimates) for what volunteers would have said. The code reproduces and improves Galaxy Zoo DECaLS automated classifications, and can be finetuned for new tasks.