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EBAI: Eclipsing Binaries with Artificial Intelligence

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Ada Coda
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EBAI: Eclipsing Binaries with Artificial Intelligence

Postby Ada Coda » Fri Aug 30, 2019 10:08 pm

EBAI: Eclipsing Binaries with Artificial Intelligence

Abstract: Eclipsing Binaries via Artificial Intelligence (EBAI) automates the process of solving light curves of eclipsing binary stars. EBAI is based on the back-propagating neural network paradigm and is highly flexible in construction of neural networks. EBAI comes in two flavors, serial (ebai) and multi-processor (ebai.mpi), and can be run in training, continued training, and recognition mode.

Credit: Prša, A.; Guinan, E. F.; Devinney, E. J.; DeGeorge, M.; Bradstreet, D. H.; Giammarco, J. M.; Alcock, C. R.; Engle, S. G.

Site: https://github.com/aprsa/ebai
https://ui.adsabs.harvard.edu/abs/2008ApJ...687..542P

Bibcode: 2019ascl.soft08018P

ID: ascl:1908.018

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