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Title: Automated transient identification in the Dark Energy Survey

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. Furthermore, 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.
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [6] ;  [7] ;  [2] ;  [7] ;  [2] ;  [3] ;  [8] ;  [8] ;  [7] ;  [9] ;  [3] ;  [10] ;  [11] ;  [10] ;  [12] more »;  [10] ;  [13] ;  [14] ;  [15] ;  [16] ;  [17] ;  [18] ;  [9] ;  [10] ;  [19] ;  [20] ;  [9] ;  [9] ;  [14] ;  [21] ;  [22] ;  [23] ;  [24] ;  [25] ;  [26] ;  [9] ;  [10] ;  [17] ;  [13] ;  [27] ;  [3] ;  [17] ;  [28] ;  [9] ;  [29] ;  [9] ;  [13] ;  [30] ;  [31] ;  [32] ;  [33] ;  [9] ;  [22] ;  [34] ;  [35] ;  [9] ;  [36] ;  [28] ;  [16] ;  [22] ;  [4] ;  [35] « less
  1. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Univ. of Portsmouth, Portsmouth (United Kingdom)
  3. Univ. of Pennsylvania, Philadelphia, PA (United States)
  4. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
  5. Argonne National Lab. (ANL), Argonne, IL (United States)
  6. Univ. of Chicago,Chicago, IL (United States)
  7. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  8. Univ. of Southampton, Southampton (United Kingdom)
  9. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  10. Univ. College London, London (United Kingdom)
  11. Univ. of Cambridge, Cambridge (United Kingdom)
  12. Univ. Pierre et Marie Curie, and CNRS, Paris (France)
  13. Lab. Interinstitucional de e-Astronomia - LIneA, Rio de Janeiro (Brazil); Observatorio Nacional, Rio de Janieiro (Brazil)
  14. Institut de Ciencies de l'Espai, Barcelona (Spain)
  15. Lab. Interinstitucional de e-Astonomia, Rio de Janeiro (Brazil); Observatorio Nacional, Rio de Janeiro (Brazil)
  16. National Center for Supercomputing Applications, Urbana, IL (United States)
  17. Texas A & M Univ., College Station, TX (United States)
  18. Ludwig Maximilian Univ., Muenchen (Germany)
  19. Univ. of Pennsylvania, Philadelphia, PA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States)
  20. Lab. Interinstitucional de e-Astronomia LIneA, Rio de Janeiro (Brazil)
  21. Univ. of Chicago,Chicago, IL (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  22. Univ. of Michigan, Ann Arbor, MI (United States)
  23. Max Planck Institute for Extraterrestrial Physics, Garching (Germany); Univ. Observatory Munich, Munich (Germany)
  24. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States); National Center for Supercomputing Applications, Urbana, IL (United States)
  25. National Optical Astronomy Observatory, La Serena (Chile)
  26. Austrilian Astronomical Observatory, North Ryde (Australia)
  27. Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro (Brazil)
  28. The Ohio State Univ., Columbus, OH (United States)
  29. Univ. Autonoma de Barcelona, Barcelona (Spain); Institucio Catalana de Recerca i Estudis, Barcelona (Spain)
  30. California Inst. of Technology (CalTech), Pasadena, CA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
  31. Univ. of Sussex, Brighton (United Kingdom)
  32. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  33. Centro de Investigaciones Energeticas, Madrid (Spain)
  34. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States); Centro de Investigaciones Energeticas, Madrid (Spain)
  35. National Optical Astronomy Observatory, North Ryde (Australia)
  36. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Lab. Interinstitucional de e-Astronomia LIneA, Rio de Janeiro (Brazil)
Publication Date:
OSTI Identifier:
1234374
Report Number(s):
BNL--111654-2015-JA
Journal ID: ISSN 1538-3881; KA2301020
Grant/Contract Number:
SC00112704
Type:
Accepted Manuscript
Journal Name:
Astronomical Journal (Online)
Additional Journal Information:
Journal Name: Astronomical Journal (Online); Journal Volume: 150; Journal Issue: 3; Journal ID: ISSN 1538-3881
Research Org:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS transients; discovery, algorithms; statistical, random forest; machine learning