MaxiMask: Identifying Contaminants in Astronomical Images using Convolutional Neural Networks
| hal.structure.identifier | M2A 2019 | |
| dc.contributor.author | PAILLASSA, Maxime | |
| hal.structure.identifier | Institut d'Astrophysique de Paris [IAP] | |
| dc.contributor.author | BERTIN, Emmanuel | |
| hal.structure.identifier | M2A 2019 | |
| dc.contributor.author | BOUY, H. | |
| dc.date.issued | 2019 | |
| dc.date.conference | 2018-10-11 | |
| dc.description.abstractEn | We present MaxiMask, a contaminant detector for ground-based astronomical images based on convolutional neural networks (CNNs). Once trained, Maxi-Mask is able to detect cosmic rays, hot pixels, bad pixels, saturated pixels, diffraction spikes, nebulous features, persistence effects, satellite trails and residual fringe patterns in ground based images, encompassing a broad range of ambient conditions, PSF sampling, detectors, optics and stellar density. Individual image pixels can be flagged through semantic segmentation, based on high-resolution probability maps generated by MaxiMask for each contaminant, except for the tracking error probability which is assigned by another dedicated CNN. Training and testing data have been gathered from a large dataset of simulated and real data originating from various modern CCD and near-IR cameras. | |
| dc.language.iso | en | |
| dc.title.en | MaxiMask: Identifying Contaminants in Astronomical Images using Convolutional Neural Networks | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Planète et Univers [physics]/Astrophysique [astro-ph]/Instrumentation et méthodes pour l'astrophysique [astro-ph.IM] | |
| bordeaux.conference.title | Astronomical Data Analysis Software and Systems XXVIII. ASP Conference Series, Vol. 521, proceedings of a conference held (11-15 October 2018) at The Hotel at the University of Maryland, College Park, Maryland, USA. Edited by Peter J. Teuben, Marc W. Pound, Brian A. Thomas, and Elizabeth M.Warner. San Francisco: Astronomical Society of the Pacific, 2019, p.99 | |
| bordeaux.country | US | |
| bordeaux.conference.city | Maryland | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02338648 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | non | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02338648v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019&rft.au=PAILLASSA,%20Maxime&BERTIN,%20Emmanuel&BOUY,%20H.&rft.genre=unknown |
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