A dataset provided by the European Space Agency

Name: Quantifying obscuration bias in hard X-ray AGN selection
Published: 2018-11-13T23:00:00Z

Proposal ID	080515
Title	Quantifying obscuration bias in hard X-ray AGN selection
Download Data Associated to the proposal	https://nxsa.esac.esa.int/nxsa-sl/servlet/data-action-aio?obsno=0805150401 https://nxsa.esac.esa.int/nxsa-sl/servlet/data-action-aio?obsno=0805150801
DOI	https://doi.org/10.5270/esa-dwsjl9c
Principal Investigator, PI	Mr Peter Boorman
Abstract	We propose a test of obscuration bias r^ant for hard X-ray surveys of activegalactic nuclei (AGN). From a representative sample of 75 local AGN selected inthe far-infrared to be observed in NuSTAR legacy surveys, we have compiled asubset of objects with predicted hard X- ray fluxes placing them above theSwift/BAT 70-month catalogue detection sensitivity, but which are not detectedeven in deeper BAT maps. Extreme obscuration is the likely primary cause of hardX-ray deficit in all. We propose XMM-Newton observations of 8 of these that lacksensitive soft X-ray constraints. Our aim is to quantify the obscuration (i.e.orientation) bias in hard X-rays from accurate broadband X-ray fits, andultimately, to construct an N_H distribution requiring minimal bias corrections.
Publications	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	2017-05-09T06:45:59Z/2017-10-30T00:54:26Z
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	2018-11-13T23:00:00Z
Keywords	"hard xray", "NuSTAR", "XMM", "hard xray surveys", "quantifying obscuration bias", "orientation bias", "obscuration bias relevant", "XMM-Newton", "deeper bat maps", "hard xray deficit", "75 local agn", "broadband xray fits", "xmm newton"
Publisher And Registrant	European Space Agency
Credit Guidelines	European Space Agency, Mr Peter Boorman, 2018, 'Quantifying obscuration bias in hard X-ray AGN selection', 17.56_20190403_1200, European Space Agency, https://doi.org/10.5270/esa-dwsjl9c