Ask The Machine: Systematic detection of wind-type outflows in low-mass X-ray binaries
arXiv:2306.12475 · doi:10.1093/mnras/stad1895
Abstract
The systematic discovery of outflows in the optical spectra of low-mass X-ray binaries opened a new avenue for the study of the outburst evolution in these extreme systems. However, the efficient detection of such features in a continuously growing database requires the development of new analysis techniques with a particular focus on scalability, adaptability, and automatization. In this pilot study, we explore the use of machine learning algorithms to perform the identification of outflows in spectral line profiles observed in the optical range. We train and test the classifier on a simulated database, constructed through a combination of disc emission line profiles and outflow signatures, emulating typical observations of low-mass X-ray binaries. The final, trained classifier is applied to two sets of spectra taken during two bright outbursts that were particularly well covered, those of V404 Cyg (2015) and MAXI J1820+070 (2018). The resulting classification gained by this novel approach is overall consistent with that obtained through traditional techniques, while it simultaneously provides a number of key advantages over the latter, including the access to low velocity outflows. This study sets the foundations for future studies on large samples of spectra from low-mass X-ray binaries and other compact binaries.
Accepted for publication in MNRAS. 13 pages, 6 figures
References in corpus (17)
- A catalogue of low-mass X-ray binaries in the Galaxy, LMC, and SMC (Fourth edition)
- The binary mass ratio in the black hole transient MAXI J1820+070
- A Black Hole Nova Obscured by an Inner Disk Torus
- Repetitive Patterns in Rapid Optical Variations in the Nearby Black-hole Binary V404 Cygni
- Hard-state accretion disk winds from black holes: the revealing case of MAXI J1820+070
- Machine learning for transient discovery in Pan-STARRS1 difference imaging
- SN 2015bh: NGC 2770's 4th supernova or a luminous blue variable on its way to a Wolf-Rayet star?
- Near-infrared emission lines trace the state-independent accretion disc wind of the black hole transient MAXI J1820+070
- Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream
- Hard-state optical wind during the discovery outburst of the black-hole X-ray dipper MAXI J1803-298
- Accretion and Outflow in V404 Cyg
- Optical and near-infrared spectroscopy of the black hole GX 339-4 II. The spectrocopic content in the low/hard and high/soft states
- Discovery of optical outflows and inflows in the black hole candidate GRS 1716-249
- A correlation between Ha trough depth and inclination in quiescent X-ray transients: evidence for a low-mass black hole in GRO J0422+32
- The origin of optical emission lines in the soft state of X-ray binary outbursts: the case of MAXI J1820+070
- A Machine Learning Approach For Classifying Low-mass X-ray Binaries Based On Their Compact Object Nature
- Galaxy Morphology from through the eyes of JWST