A dataset provided by the European Space Agency

Name: Characterization of hard X-ray selected CV binaries
Published: 2018-03-29T22:00:00Z

Proposal ID	078070
Title	Characterization of hard X-ray selected CV binaries
Download Data Associated to the proposal	https://nxsa.esac.esa.int/nxsa-sl/servlet/data-action-aio?obsno=0780700101
DOI	https://doi.org/10.5270/esa-rdhvbp8
Principal Investigator, PI	Dr Domitilla de Martino
Abstract	About 20% of hard X-ray galactic sources detected in the INTEGRAL and Swiftsurveys are accreting white dwarf binaries (CVs). The majority harboursasynchronously rotating magnetic primaries, which are disputed to be thedominant galactic population of low-luminosity X-ray sources. Optical follow-upsprovide good candidates but a secure identification resides in the X-rays. WithXMM-Newton we could successfully prove or disprove the magnetic nature for 26sources. We here propose to continue our identification programme with 10 newcandidates with the ultimate goal to obtain a true census of the firstvolume-limited sample of hard X-ray CVs, in view of the accurate distances to beprovided by Gaia.
Publications	IGR J14257-6117, a magnetic accreting white dwarf with a very strong strong X-ray orbital modulation \|Bernardini, F., de Martino, D., et al. \| MNRAS \| 478-1185 \| 2018 \| 2018MNRAS.478.1185B \| http://ui.adsabs.harvard.edu/#abs/2018MNRAS.478.1185B Classification of 4XMM-DR9 sources by machine learning \|Zhang, Yanxia, Zhao, Yongheng, \| MNRAS \| 503-5263 \| 2021 \| 2021MNRAS.503.5263Z \| http://ui.adsabs.harvard.edu/#abs/2021MNRAS.503.5263Z From Active Stars to Black Holes: A Discovery Tool for Galactic X-Ray Sources \|Rodriguez, Antonio C., \| PASP \| 136-054201 \| 2024 \| 2024PASP..136e4201R \| http://ui.adsabs.harvard.edu/#abs/2024PASP..136e4201R Robust constraints on feebly interacting particles using XMM-Newton \|Luque, Pedro De la Torre, Balaji, Shyam, \| PhRvD \| 109-L101305 \| 2024 \| 2024PhRvD.109j1305L \| http://ui.adsabs.harvard.edu/#abs/2024PhRvD.109j1305L Multimessenger search for electrophilic feebly interacting particles from supernovae \|Luque, Pedro De la Torre, Balaji, Shyam, \| PhRvD \| 109-103028 \| 2024 \| 2024PhRvD.109j3028L \| http://ui.adsabs.harvard.edu/#abs/2024PhRvD.109j3028L Importance of Cosmic-Ray Propagation on Sub-GeV Dark Matter Constraints \|De la Torre Luque, Pedro, Balaji, Shyam, \| ApJ \| 968-46 \| 2024 \| 2024ApJ...968...46D \| http://ui.adsabs.harvard.edu/#abs/2024ApJ...968...46D
Instrument	EMOS1, EMOS2, EPN, OM, RGS1, RGS2
Temporal Coverage	2017-01-20T06:39:36Z/2017-01-20T17:29:36Z
Version	17.56_20190403_1200
Mission Description	The European Space Agencys (ESA) X-ray Multi-Mirror Mission (XMM-Newton) was launched by an Ariane 504 on December 10th 1999. XMM-Newton is ESAs second cornerstone of the Horizon 2000 Science Programme. It carries 3 high throughput X-ray telescopes with an unprecedented effective area, and an optical monitor, the first flown on a X-ray observatory. The large collecting area and ability to make long uninterrupted exposures provide highly sensitive observations. Since Earths atmosphere blocks out all X-rays, only a telescope in space can detect and study celestial X-ray sources. The XMM-Newton mission is helping scientists to solve a number of cosmic mysteries, ranging from the enigmatic black holes to the origins of the Universe itself. Observing time on XMM-Newton is being made available to the scientific community, applying for observational periods on a competitive basis.
Creator Contact	https://www.cosmos.esa.int/web/xmm-newton/xmm-newton-helpdesk
Date Published	2018-03-29T22:00:00Z
Keywords	"hard xray", "hard xray cvs", "XMM", "cv binary", "secure identification resides", "identification programme", "successfully prove", "XMM-Newton", "dominant galactic population", "volume limited sample", "swift surveys", "xmm newton"
Publisher And Registrant	European Space Agency
Credit Guidelines	European Space Agency, Dr Domitilla de Martino, 2018, 'Characterization of hard X-ray selected CV binaries', 17.56_20190403_1200, European Space Agency, https://doi.org/10.5270/esa-rdhvbp8