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.
arXiv commentAccepted for publication in MNRAS. 13 pages, 6 figures
References in corpus (50)
- Deep learning for time series classification: a review
- Advection-Dominated Accretion: Underfed Black Holes and Neutron Stars
- Towards a unified model for black hole X-ray binary jets
- Ubiquitous equatorial accretion disc winds in black hole soft states
- BlackCAT: A catalogue of stellar-mass black holes in X-ray transients
- Data Mining and Machine Learning in Astronomy
- A catalogue of low-mass X-ray binaries in the Galaxy, LMC, and SMC (Fourth edition)
- WATCHDOG: A Comprehensive All-Sky Database of Galactic Black Hole X-ray Binaries
- The mass donor of Scorpius X-1 revealed
- SN 2009ip and SN 2010mc: Core-collapse Type IIn supernovae arising from blue supergiants
- Potential Kick Velocity distribution of black hole X-ray binaries and implications for natal kicks
- Regulation of black-hole accretion by a disk wind during a violent outburst of V404 Cygni
- Accretion disc atmospheres and winds in low-mass X-ray binaries
- Using Machine Learning for Discovery in Synoptic Survey Imaging
- The binary mass ratio in the black hole transient MAXI J1820+070
- The DAWES review 10: The impact of deep learning for the analysis of galaxy surveys
- ASASSN-18ey: The Rise of a New Black-Hole X-ray Binary
- Dynamical confirmation of a black hole in MAXI J1820+070
- A Black Hole Nova Obscured by an Inner Disk Torus
- Infrared [Fe II] emission from P Cygni's nebula: Atomic data, mass, kinematics, and the 1600 A.D. outburst
- 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
- High Resolution Chandra HETG spectroscopy of V404 Cygni in Outburst
- 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?
- The black hole binary V404 Cygni: an obscured AGN analogue
- Swift J1357.2-0933: a massive black hole in the Galactic thick disc
- Near-infrared emission lines trace the state-independent accretion disc wind of the black hole transient MAXI J1820+070
- Optical Spectroscopy Of The X-Ray Transient XTE J1118+480 In Outburst
- High ionisation absorption in low mass X-ray binaries
- DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains
- The balance of power: accretion and feedback in stellar mass black holes
- Optical Spectroscopy of GRO J1655-40
- The 1989 and 2015 outbursts of V404 Cygni: a global study of wind-related optical features
- 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
- An equatorial outflow in the black hole optical dipper Swift J1357.2-0933
- 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
- Hot, dense He II outflows during the 2017 outburst of the X-ray transient Swift J1357.2-0933
- VLT spectroscopy of the Black Hole Candidate Swift J1357.2-0933 in Quiescence
- Discovery of optical outflows and inflows in the black hole candidate GRS 1716-249
- Dynamical confirmation of a stellar-mass black hole in the transient X-ray dipping binary MAXI J1305-704
- Discovery of optical and infrared accretion disc wind signatures in the black hole candidate MAXI J1348-630
- 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
- A Comparative Study of Machine Learning Methods for X-ray Binary Classification
- Optical nebular emission following the most luminous outburst of Aquila X-1
- Galaxy Morphology from through the eyes of JWST