MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning

Hosenie, Z.; Bloemen, S.; Groot, P.; Lyon, R.; Scheers, B.; Stappers, B.; ... ; Woudt, P. (2021)

Article / Letter to editor

• Methods: data analysis
• Methods: deep learning
• Techniques: image processing
• Surveys
• Stars: general
• Transients: real
• Bogus
• Astrophysics - instrumentation and methods for astrophysics
• Astrophysics - astrophysics of galaxies
• Computer science - artificial intelligence
• Computer science - computer vision and pattern recognition
• Computer science - machine learning

• All authors: Hosenie, Z.; Bloemen, S.; Groot, P.; Lyon, R.; Scheers, B.; Stappers, B.; Stoppa, F.; Vreeswijk, P.; Wet, S. de; Wolt, M.K.; Körding, E.; McBride, V.; Le Poole, R.S.; Paterson, K.; Pieterse, D.L.A.; Woudt, P.
• Date: 2021
• Journal: Experimental Astronomy
• Volume: 51
• Pages: 319–344
• DOI: doi:10.1007/s10686-021-09757-1
• Link: https://ui.adsabs.harvard.edu/abs/2021ExA...tmp...61H