Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
AUTOMATED TRANSIENT IDENTIFICATION in the DARK ENERGY SURVEY
Astronomical Journal, Volume 150, No. 3, Article 82, Year 2015
Notification
URL copied to clipboard!
Description
We describe an algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation. The algorithm makes use of the supervised machine learning technique known as Random Forest. We present results from its use in the Dark Energy Survey Supernova program (DES-SN), where it was trained using a sample of 898,963 signal and background events generated by the transient detection pipeline. After reprocessing the data collected during the first DES-SN observing season (2013 September through 2014 February) using the algorithm, the number of transient candidates eligible for human scanning decreased by a factor of 13.4, while only 1.0% of the artificial Type Ia supernovae (SNe) injected into search images to monitor survey efficiency were lost, most of which were very faint events. Here we characterize the algorithm's performance in detail, and we discuss how it can inform pipeline design decisions for future time-domain imaging surveys, such as the Large Synoptic Survey Telescope and the Zwicky Transient Facility. An implementation of the algorithm and the training data used in this paper are available at http://portal.nserc.gov/project/dessn/autoscan. © 2015. The American Astronomical Society. All rights reserved..
Authors & Co-Authors
Goldstein, Daniel A.
United States, Berkeley
University of California, Berkeley
United States, Berkeley
Lawrence Berkeley National Laboratory
D'Andrea, Chris B.
United Kingdom, Portsmouth
University of Portsmouth
Fischer, John A.
United States, Philadelphia
University of Pennsylvania
Foley, Ryan J.F.
United States, Urbana
University of Illinois Urbana-champaign
Gupta, Ravi R.
United States, Lemont
Argonne National Laboratory
Kessler, Richard S.
United States, Chicago
The University of Chicago
Kim, Alex G.
United States, Berkeley
Lawrence Berkeley National Laboratory
Nichol, Robert C.
United Kingdom, Portsmouth
University of Portsmouth
Nugent, Peter E.
United States, Berkeley
University of California, Berkeley
United States, Berkeley
Lawrence Berkeley National Laboratory
Papadopoulos, Andreas
United Kingdom, Portsmouth
University of Portsmouth
Sako, Masao
United States, Philadelphia
University of Pennsylvania
Smith, Matthew C.
United Kingdom, Southampton
University of Southampton
Sullivan, Mark
United Kingdom, Southampton
University of Southampton
Thomas, Rollin C.
United States, Berkeley
Lawrence Berkeley National Laboratory
Wester, William C.
United States, Batavia
Fermi National Accelerator Laboratory
Wolf, Rachel C.
United States, Philadelphia
University of Pennsylvania
Abdalla, Fillipe Batoni
United Kingdom, London
University College London
Banerji, Manda
United Kingdom, Cambridge
University of Cambridge
Benoit-Lévy, Aurélien
United Kingdom, London
University College London
Bertin, Emmanuel
France, Paris
Sorbonne Université
Brooks, David D.
United Kingdom, London
University College London
Rosell, Aurelio Carnero
Brazil, Rio de Janeiro
Laboratório Interinstitucional de E-astronomia
Brazil, Sao Cristovao
Observatório Nacional
Castander, Francisco Javier J.
Spain, Cerdanyola Del Valles
Universitat Autònoma de Barcelona
Costa, Luiz Nda
Brazil, Rio de Janeiro
Laboratório Interinstitucional de E-astronomia
Brazil, Sao Cristovao
Observatório Nacional
Covarrubias, Riccardo A.
United States, Urbana
University of Illinois Urbana-champaign
DePoy, Darren L.
United States, College Station
Texas A&m University
Desai, Shantanu
Germany, Munich
Ludwig-maximilians-universität München
Diehl, H. Thomas
United States, Batavia
Fermi National Accelerator Laboratory
Doel, Peter
United Kingdom, London
University College London
Eifler, Tim F.
United States, Philadelphia
University of Pennsylvania
United States, Pasadena
California Institute of Technology
Fausti-Neto, Angelo
Brazil, Rio de Janeiro
Laboratório Interinstitucional de E-astronomia
Finley, David A.
United States, Batavia
Fermi National Accelerator Laboratory
Flaugher, Brenna L.
United States, Batavia
Fermi National Accelerator Laboratory
Fosalba, Pablo
Spain, Cerdanyola Del Valles
Universitat Autònoma de Barcelona
Frieman, Joshua A.
United States, Chicago
The University of Chicago
United States, Batavia
Fermi National Accelerator Laboratory
Gerdes, David W.
United States, Ann Arbor
University of Michigan, Ann Arbor
Gruen, Daniel
Germany, Garching Bei Munchen
Max Planck Institute for Extraterrestrial Physics
Germany, Munich
Ludwig-maximilians-universität München
Gruendl, Robert A.
United States, Urbana
University of Illinois Urbana-champaign
James, David J.
Chile, La Serena
Cerro Tololo Inter American Observatory
Kuehn, Kyler W.
Australia
Australian Astronomical Observatory
Kuropatkin, Nikolay P.
United States, Batavia
Fermi National Accelerator Laboratory
Lahav, Ofer
United Kingdom, London
University College London
Li, Ting S.
United States, College Station
Texas A&m University
Maia, Marcioa Antonio Geimba
Brazil, Rio de Janeiro
Laboratório Interinstitucional de E-astronomia
Brazil, Sao Cristovao
Observatório Nacional
Makler, Martín
Brazil, Rio de Janeiro
Centro Brasileiro de Pesquisas Físicas
March, Marisa Cristina
United States, Philadelphia
University of Pennsylvania
Marshall, Jennifer L.
United States, College Station
Texas A&m University
Martini, Paul
United States, Columbus
The Ohio State University
Merritt, K. W.B.
United States, Batavia
Fermi National Accelerator Laboratory
Miquel, Ramon
Spain, Cerdanyola Del Valles
Institut de Física D'altes Energies, Bellaterra
Spain, Barcelona
Institució Catalana de Recerca I Estudis Avançats
Nord, Brian D.
United States, Batavia
Fermi National Accelerator Laboratory
Ogando, R. L.C.
Brazil, Rio de Janeiro
Laboratório Interinstitucional de E-astronomia
Brazil, Sao Cristovao
Observatório Nacional
Plazas, Andreas Alejandro
United States, Pasadena
California Institute of Technology
United States, Upton
Brookhaven National Laboratory
Römer, Anita Kathy
United Kingdom, Brighton
University of Sussex
Roodman, Aaron J.
United States, Palo Alto
Stanford University
United States, Menlo Park
Slac National Accelerator Laboratory
Sánchez, Eusebio J.
Spain, Madrid
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
Scarpine, Victor E.
United States, Batavia
Fermi National Accelerator Laboratory
Schubnell, Michael S.
United States, Ann Arbor
University of Michigan, Ann Arbor
Sevilla, Ignacio
United States, Urbana
University of Illinois Urbana-champaign
Spain, Madrid
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
Smith, Robert Chris
Chile, La Serena
Cerro Tololo Inter American Observatory
Soares-Santos, Marcelle
United States, Batavia
Fermi National Accelerator Laboratory
Sobreira, Flávia
United States, Batavia
Fermi National Accelerator Laboratory
Brazil, Rio de Janeiro
Laboratório Interinstitucional de E-astronomia
Suchyta, Eric
United States, Columbus
The Ohio State University
Swanson, Mollye E.C.
United States, Urbana
University of Illinois Urbana-champaign
Tarlè, Gregory G.
United States, Ann Arbor
University of Michigan, Ann Arbor
Thaler, Jon J.
United States, Urbana
University of Illinois Urbana-champaign
Walker, Alistair R.
Chile, La Serena
Cerro Tololo Inter American Observatory
Statistics
Citations: 113
Authors: 67
Affiliations: 31
Identifiers
Doi:
10.1088/0004-6256/150/3/82
ISSN:
00046256
Research Areas
Health System And Policy
Study Design
Cross Sectional Study
Study Approach
Quantitative