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Mary, a Pipeline to Aid Discovery of Optical Transients

  • I. Andreoni (a1) (a2) (a3) (a4), C. Jacobs (a1), S. Hegarty (a1), T. Pritchard (a1) (a3), J. Cooke (a1) (a2) (a3) and S. Ryder (a4)...

The ability to quickly detect transient sources in optical images and trigger multi-wavelength follow up is key for the discovery of fast transients. These include events rare and difficult to detect such as kilonovae, supernova shock breakout, and ‘orphan’ Gamma-ray Burst afterglows. We present the Mary pipeline, a (mostly) automated tool to discover transients during high-cadenced observations with the Dark Energy Camera at Cerro Tololo Inter-American Observatory (CTIO). The observations are part of the ‘Deeper Wider Faster’ programme, a multi-facility, multi-wavelength programme designed to discover fast transients, including counterparts to Fast Radio Bursts and gravitational waves. Our tests of the Mary pipeline on Dark Energy Camera images return a false positive rate of ~2.2% and a missed fraction of ~3.4% obtained in less than 2 min, which proves the pipeline to be suitable for rapid and high-quality transient searches. The pipeline can be adapted to search for transients in data obtained with imagers other than Dark Energy Camera.

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Abbott B. P., et al. 2016, ApJ, 826, L13
Andreoni I., et al. 2017a, The Astronomer’s Telegram, No. 10078, 78
Andreoni I., et al. 2017b, The Astronomer’s Telegram, No. 10072, 72
Astier P., et al. 2006, A&A, 447, 31
Becker A. 2015, HOTPANTS: High Order Transform of PSF ANd Template Subtraction, Astrophysics Source Code Library, ascl:1504.004
Bellm E. 2014, in The Third Hot-wiring the Transient Universe Workshop, eds. Wozniak P. R., Graham M. J., Mahabal A. A., & Seaman R. (held in Sante Fe, 13–15 November), 27
Bertin E., & Arnouts S. 1996, A&AS, 117, 393
Bertin E., et al. 2002, in ASP Conf. Ser., Vol. 281, Astronomical Data Analysis Software and Systems XI, eds. Bohlender D. A., Durand D., & Handley T. H. (San Francisco: ASP), 228
Cao Y., Nugent P. E., & Kasliwal M. M. 2016, PASP, 128, 114502
Cenko S. B., et al. 2015, ApJL, 803, L24
Chu Q., et al. 2016, MNRAS, 459, 121
Cortes C., & Vapnik V. 1995, Mach Learn, 20, 273
Coward D. M., et al. 2016, ASA, 34, e005
Cowperthwaite P. S., et al. 2016, ApJL, 826, L29
Djorgovski S. G., et al. 2010, in The First Year of MAXI: Monitoring Variable X-ray Sources, eds. Mihara T. & Kawai N. (Tokyo: JAXA Special Publ.) 32
Doctor Z., et al. 2016, ApJ, 837, 57
Flaugher B., et al. 2015, AJ, 150, 150
Förster F., et al. 2016, ApJ, 832, 155
Fukushima K. 1980, Biol. Cybernetics, 36, 193
Gal-Yam A. 2014, in American Astronomical Society Meeting Abstracts, Vol. 223, American Astronomical Society Meeting Abstracts #223, 235.02
Garnavich P. M., et al. 2016, ApJ, 820, 23
Ghirlanda G., et al. 2015, A&A, 578, A71
Ivezic Z., et al. 2008, SerAJ, 176, 1
Jones D. O., Scolnic D. M., & Rodney S. A. 2015, PythonPhot: Simple DAOPHOT-type photometry in Python, Astrophysics Source Code Library, ascl:1501.010
Jordan M., & Mitchell T. 2015, Science, 349, 255
Keller S. C., et al. 2007, PASA, 24, 1
Kessler R., et al. 2015, AJ, 150, 172
Lasker B. M., et al. 2008, AJ, 136, 735
Law N. M., et al. 2009, PASP, 121, 1395
LeCun Y., Bengio Y., & Hinton G. 2015, Nature, 521, 436
Lecun Y., Bottou L., Bengio Y., & Haffner P. 1998, Proc. IEEE, 86, 2278
Meade B., et al. 2017, ASA, 34, e023
Metzger B. D. 2016, arXiv:1610.09381
Miller A. A., et al. 2017, AJ, 153, 73
Pedregosa F., et al. 2011, J. Mach. Learn. Res., 12, 2825
Perrett K., et al. 2010, AJ, 140, 518
Petroff E., et al. 2017, MNRAS, 469, 4465
Rest A., et al. 2005, ApJ, 634, 1103
Rest A., et al. 2014, ApJ, 795, 44
Rosenblatt F. 1957, Technical Report No. 85-460-1 (Buffalo: Cornell Aeronautical Laboratory Inc.)
Shortridge K. 2012, in ASP Conf. Ser., Vol. 461, Astronomical Data Analysis Software and Systems XXI, eds. Ballester P., Egret D., & Lorente N. P. F. (San Francisco: ASP), 49
Smith R. M., et al. 2014, in Proc. SPIE, Vol. 9147, Ground-based and Airborne Instrumentation for Astronomy V, eds. Ramsay S. K., McLean I. S., & Takami H. (Bellingham: SPIE) 914779
Swaters R. A., & Valdes F. G. 2007, in ASP Conf. Ser., Vol. 376, Astronomical Data Analysis Software and Systems XVI, eds. Shaw R. A., Hill F., & Bell D. J. (Tucson: ASP), 269
Tanvir N. R., et al. 2013, Nature, 500, 547
Valdes F. G., & Swaters R. A. 2007, in ASP Conf. Ser., Vol. 376, Astronomical Data Analysis Software and Systems XVI, eds. Shaw R. A., Hill F., & Bell D. J. (Tucson: ASP), 273
Vestrand W. T., et al. 2014, Science, 343, 38
Vohl D., Pritchard T., Andreoni I., Cooke J., & Meade B. 2017, PASA, 34, 38
W inline-graphic s, M., Sutton, P. J., Jones, G., & Leonor, I. 2012, PhRvD, 86, 022003
Zackay B., Ofek E. O., & Gal-Yam A. 2016, ApJ, 830, 27
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