The new version of the EXTraS public archive contains results and products of the updated aperiodic, short-term variability analysis. A concise description of the pipeline, products and results can be found here.

Results and products of the former EXTraS analysis (2014-2016 FP7 project, see De Luca et al. 2020) are still available upon request. Please contact us.

Should you use the EXTraS Public Data Archive for your research and publish the results, please cite the paper describing the EXTraS project (De Luca et al., 2020) and the link to the Archive and use the acknowledgement below:

This research has made use of data obtained from the EXTraS Public Data Archive v2.0, mantained at INAF-IASF Milano.


Short-term, aperiodic variability analysis

The current release is drawn from XMM-Newton EPIC observations made between 2000, February and 2020, December. All data have been reprocessed with an improved pipeline.

The most important updates with respect to the analysis described by De Luca et al. 2020 are:

  • production of EPIC light curves, based on the combination of EPIC pn and MOS simultaneous data, with uniform time binning (101 s, 199 s, 499 s, 997 s), in flux units (erg/cm2 s).

  • updated background subtraction algorithm.

  • improved modelling of light curves (run on EPIC light curves only: new models added; improved fitting procedure).

  • cumulative distribution functions (CDFs) of count rates, produced for EPIC light curves only, generated as smoothed histograms with Gaussian kernels to account for error bars in the parent light curves.

  • Improved characterization of CDFs (new parameters added; some bug fixed).

This page is under construction. A more detailed description will be available soon.