Sedaghat, Nima and Mahabal, Ashish (2018) Effective image differencing with convolutional neural networks for real-time transient hunting. Monthly Notices of the Royal Astronomical Society, 476 (4). pp. 5365-5376. ISSN 0035-8711. doi:10.1093/mnras/sty613. https://resolver.caltech.edu/CaltechAUTHORS:20180613-110454392
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Abstract
Large sky surveys are increasingly relying on image subtraction pipelines for real-time (and archival) transient detection. In this process one has to contend with varying point-spread function (PSF) and small brightness variations in many sources, as well as artefacts resulting from saturated stars and, in general, matching errors. Very often the differencing is done with a reference image that is deeper than individual images and the attendant difference in noise characteristics can also lead to artefacts. We present here a deep-learning approach to transient detection that encapsulates all the steps of a traditional image-subtraction pipeline – image registration, background subtraction, noise removal, PSF matching and subtraction – in a single real-time convolutional network. Once trained, the method works lightening-fast and, given that it performs multiple steps in one go, the time saved and false positives eliminated for multi-CCD surveys like Zwicky Transient Facility and Large Synoptic Survey Telescope will be immense, as millions of subtractions will be needed per night.
Item Type: | Article | ||||||||||||
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Additional Information: | © 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2018 February 25. Received 2018 February 19; in original form 2017 October 5. Published: 10 April 2018. AM was supported in part by the NSF grants AST-0909182, AST-1313422, AST-1413600 and AST-1518308, and by the Ajax Foundation. | ||||||||||||
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Subject Keywords: | methods: data analysis – techniques: image processing – surveys – supernovae: general | ||||||||||||
Issue or Number: | 4 | ||||||||||||
DOI: | 10.1093/mnras/sty613 | ||||||||||||
Record Number: | CaltechAUTHORS:20180613-110454392 | ||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20180613-110454392 | ||||||||||||
Official Citation: | Nima Sedaghat, Ashish Mahabal; Effective image differencing with convolutional neural networks for real-time transient hunting, Monthly Notices of the Royal Astronomical Society, Volume 476, Issue 4, 1 June 2018, Pages 5365–5376, https://doi.org/10.1093/mnras/sty613 | ||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||
ID Code: | 87064 | ||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||
Deposited By: | Tony Diaz | ||||||||||||
Deposited On: | 13 Jun 2018 18:14 | ||||||||||||
Last Modified: | 15 Nov 2021 20:44 |
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