Search Results for author: Christine Macmillan

Found 2 papers, 2 papers with code

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies

1 code implementation16 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.

Space Warps: I. Crowd-sourcing the Discovery of Gravitational Lenses

1 code implementation21 Apr 2015 Philip J. Marshall, Aprajita Verma, Anupreeta More, Christopher P. Davis, Surhud More, Amit Kapadia, Michael Parrish, Chris Snyder, Julianne Wilcox, Elisabeth Baeten, Christine Macmillan, Claude Cornen, Michael Baumer, Edwin Simpson, Chris J. Lintott, David Miller, Edward Paget, Robert Simpson, Arfon M. Smith, Rafael Küng, Prasenjit Saha, Thomas E. Collett, Matthias Tecza

We describe Space Warps, a novel gravitational lens discovery service that yields samples of high purity and completeness through crowd-sourced visual inspection.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Cannot find the paper you are looking for? You can Submit a new open access paper.