A dataset provided by the European Space Agency

Name: Fast stochastic variability in CV variable MV Lyr and source identification
Published: 2016-09-28T22:00:00Z

Proposal ID	076104
Title	Fast stochastic variability in CV variable MV Lyr and source identification
Download Data Associated to the proposal	https://nxsa.esac.esa.int/nxsa-sl/servlet/data-action-aio?obsno=0761040101
DOI	https://doi.org/10.5270/esa-ncdmwfo
Principal Investigator, PI	Dr Andrej Dobrotka
Abstract	Some cataclysmic variables exhibit a multicomponent power density spectrum offast variability. High-cadence long-term Kepler data of MV Lyr showed 4different characteristic components, while XMM X-ray observations of RU Peg inquiescence contained two different components. Modelling studies suggest avariety of accreting disc structures as the source of variability. However, westill depend on speculations because the source identification is notunambiguous without combined optical and X-ray observations of the same system.Since it is technically impossible to obtain optical Kepler data of RU Peg, wepropose to observe MV Lyr in X-rays and UV with XMM. The goal is to search forthe two highest break frequencies found in the Kepler data.
Publications	XMM-Newton observation of MV Lyr and the sandwiched model confirmation \|Dobrotka, A., Ness, J.-U., et al. \| MNRAS \| 468-1183 \| 2017 \| 2017MNRAS.468.1183D \| http://ui.adsabs.harvard.edu/#abs/2017MNRAS.468.1183D Similar shot profile morphology of fast variability in a cataclysmic variable, X-ray binary, and blazar: The MV Lyrae case \|Dobrotka, A., Negoro, H., \| A&A \| 631-134 \| 2019 \| 2019A&A...631A.134D \| http://ui.adsabs.harvard.edu/#abs/2019A&A...631A.134D 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 The XMM-Newton Line Emission Analysis Program (X-LEAP). I. Emission-line Survey of O VII, O VIII, and Fe L-shell Transitions \|Pan, Zeyang, Qu, Zhijie, et al. \| ApJS \| 271-62 \| 2024 \| 2024ApJS..271...62P \| http://ui.adsabs.harvard.edu/#abs/2024ApJS..271...62P 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	2015-09-06T15:06:43Z/2015-09-07T09:03:23Z
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	2016-09-28T22:00:00Z
Keywords	"fast variability", "cataclysmic variables exhibit", "XMM", "fast stochastic variability", "source identification", "combined optical", "ru peg", "accreting disc structures", "kepler data", "optical kepler data", "characteristic components", "term kepler data", "technically impossible", "mv lyr", "break frequencies"
Publisher And Registrant	European Space Agency
Credit Guidelines	European Space Agency, Dr Andrej Dobrotka, 2016, 'Fast stochastic variability in CV variable MV Lyr and source identification', 17.56_20190403_1200, European Space Agency, https://doi.org/10.5270/esa-ncdmwfo