NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (17)

astro-ph.IM2016

Photometric Supernova Classification With Machine Learning

Michelle Lochner, Jason D. McEwen, Hiranya V. Peiris +2

astro-ph.CO2019

Deep Multi-object Spectroscopy to Enhance Dark Energy Science from LSST

Jeffrey A. Newman, Jonathan Blazek, Nora Elisa Chisari +14

astro-ph.CO2014

Towards the Future of Supernova Cosmology

Michelle Lochner, Bruce A. Bassett, Melvin Varughese +4

astro-ph.CO2019

Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSST

Rachel Mandelbaum, Jonathan Blazek, Nora Elisa Chisari +12

astro-ph.IM2018

DeepSource: Point Source Detection using Deep Learning

A. Vafaei Sadr, Etienne. E. Vos, Bruce A. Bassett +3

astro-ph.CO2014

Extending BEAMS to incorporate correlated systematic uncertainties

Michelle Lochner, Bruce A. Bassett, Melvin Varughese +4

astro-ph.CO2017

Redshifts for galaxies in radio continuum surveys from Bayesian model fitting of HI 21-cm lines

Ian Harrison, Michelle Lochner, Michael L. Brown

astro-ph.IM2017

Science-Driven Optimization of the LSST Observing Strategy

LSST Science Collaboration, Phil Marshall, Timo Anguita +102

astro-ph.CO2017

zBEAMS: A unified solution for supernova cosmology with redshift uncertainties

Ethan Roberts, Michelle Lochner, José Fonseca +3

astro-ph.IM2018

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey

Michelle Lochner, Daniel M. Scolnic, Humna Awan +33

astro-ph.IM2018

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

The PLAsTiCC team, Tarek Allam, Anita Bahmanyar +23

astro-ph.CO2018

Machine learning cosmological structure formation

Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen +1

astro-ph.IM2015

Bayesian Inference for Radio Observations

Michelle Lochner, Iniyan Natarajan, Jonathan T. L. Zwart +4

stat.ML2019

Bayesian Anomaly Detection and Classification

Ethan Roberts, Bruce A. Bassett, Michelle Lochner

astro-ph.IM2018

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs

Daniel M. Scolnic, Michelle Lochner, Phillipe Gris +21

astro-ph.CO2017

MeerKLASS: MeerKAT Large Area Synoptic Survey

Mario G. Santos, Michelle Cluver, Matt Hilton +35

astro-ph.IM2018

Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

Gautham Narayan, Tayeb Zaidi, Monika D. Soraisam +20