VizieR Online Data Catalog: 4XMM-DR11s serendipitous source catalogue from stacks (Traulsen+, 2022)
Abstract
The 4XMM-DR11s catalogue of serendipitous sources from overlapping XMM-Newton observations has been compiled from 1475 groups of 8292 selected overlapping XMM-Newton observations. They were taken between 2000 February 3 and 2020 December 17 and overlap by at least one arcminute in radius. The catalogue contains 358809 unique sources, 275440 of them multiply observed, with positions and source parameters like fluxes in the XMM-Newton standard energy bands, hardness ratios, quality estimate, and information on inter-observation variability. The parameters are directly derived from the simultaneous fit, and, wherever applicable, additionally calculated for each contributing observation. The catalogue aims at exploring the multiply observed sky regions and exploit their survey potential, in particular to study the long-term behaviour of X-ray emitting sources. It thus makes use of the long(er) effective exposure time per sky area and offers the opportunity to investigate flux variability directly through the source detection process. The main catalogue properties are summarised in the table below, the data processing and the stacked source detection are described in the processing summary. Updates compared to the previous version include a significantly larger sample of observations, event-based astrometric corrections before running source detection, revised background parameters, and manually set flags marking obviously spurious detections. More information is provided in the latest version of the Documentation.
Users of the catalogue are kindly asked to reference the catalogue paper (Traulsen et al, 2020A&A...641A.137T) and to include the following policy statement: "This research has made use of data obtained from the 4XMM XMM-Newton serendipitous stacked source catalogue 4XMM-DR11s compiled by the institutes of the XMM-Newton Survey Science Centre selected by ESA." (2 data files).- Publication:
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VizieR Online Data Catalog
- Pub Date:
- April 2022
- Bibcode:
- 2022yCat.9066....0T
- Keywords:
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- XMM