XMM-Newton XAssist Source List

This database table contains the latest XMM-Newton XAssist source list. XAssist is a NASA-funded project for the automation of X-ray astrophysics, with emphasis on galaxies. It is capable of data reprocessing, source detection, and preliminary spatial, temporal, and spectral analysis for all sources with sufficient counts. The bulk of the system is written in Python, which in turn drives underlying software to process the XMM-Newton data. Pipelines running on XMM-Newton observations of galaxies have generated the source list which comprises this HEASARC table. The pipeline also includes fields requested by users for various projects, most notably observations of a sample of quasars and several deep field observations have been processed. Note that the pipline processing is completely automated; therefore, users should visually inspect the results of any queries. This table was first created by the HEASARC in July 2005 based on the XMM source list available at the XAssist website. In December 2012, the HEASARC switched over to using the "pipeline5" XMM source list. It is updated on a weekly basis when and if the XAssist source list file at <a href="https://asd.gsfc.nasa.gov/xassist/pipeline5/xmm/master_srclist.csv">https://asd.gsfc.nasa.gov/xassist/pipeline5/xmm/master_srclist.csv</a>; is updated. This is a service provided by NASA HEASARC .

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/nasa.heasarc/xmmxassist
Related Identifier https://heasarc.gsfc.nasa.gov/W3Browse/all/xmmxassist.html
Related Identifier https://heasarc.gsfc.nasa.gov/cgi-bin/W3Browse/w3query.pl?tablehead=name=heasarc_xmmxassist&Action=More+Options&Action=Parameter+Search&ConeAdd=1
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://nasa.heasarc/xmmxassist
Provenance
Creator Ptak, Griffiths
Publisher NASA/GSFC HEASARC
Publication Year 2024
OpenAccess true
Contact NASA/GSFC HEASARC help desk <heasarc-vo at athena.gsfc.nasa.gov>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Natural Sciences; Observational Astronomy; Physics