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Calibration Statistics Working Group

The main page of the CalStats WG is at https://iachec.org/calibration-statistics/

 

Library of background models/scripts/packages

 

InstrumentPackage/CodeDescriptionLinks/ResourcesReferences
Chandra/ACISmkacispbackA software to generate spectral models for Chandra ACIS particle-induced background, by Hiromasa Suzuki (UTokyo)https://github.com/hiromasasuzuki/mkacispback
Chandra/ACIS-I Continuum modeled as a combination of power-law and exponential, amplitudes changing along y direction; 11 fluorescent lines, six of which are spatially variablehttps://ui.adsabs.harvard.edu/abs/2014A%26A...566A..25B/abstract
NICERnicer_bkg_estimatorThe nicer_bkg_estimator tool implements the "space weather" method (Gendreau et al., in prep.) which uses environmental data to parse the background database. This tool uses a model of the magnetic cut-off rigidity as well as space weather data in the form of the planetary Kennziffer Index, or Kp index

https://heasarc.gsfc.nasa.gov/docs/nicer/tools/nicer_bkg_est_tools.html

Readme: https://heasarc.gsfc.nasa.gov/docs/nicer/tools/nicer_bkg_estimator_README.txt

NICERnibackgen3C50The nibackgen3C50 tool (Remillard et al.) makes use of a number of background proxies in the NICER data to define the basis states of the background database. 

https://heasarc.gsfc.nasa.gov/docs/nicer/tools/nicer_bkg_est_tools.html

Readme: https://heasarc.gsfc.nasa.gov/docs/nicer/tools/README_nibackgen3C50_v7b.txt

NICERSCORPEONmulti-component physically motivated background model whose parameters are tied to housekeeping data.TBP
NuSTARnuskybgd

Broadband (3-160 keV) background with appropriate response. Produces background models for arbitrary source locations in FoV, and band-selected background images. Authored by Dan Wik, python-port by Qian Wang.

https://github.com/NuSTAR/nuskybgd-py
XMM/pn  https://ui.adsabs.harvard.edu/abs/2021ApJ...908...37M/abstract
  • Marelli, M., Molendi, S., Rossetti, M., Gastaldello, F., Salvetti, D., De Luca, A., Bartalucci, I., Kuhl, P., Esposito, P., Ghizzardi, S., and Tiengo, A., 2021, AJ 908, 37, Analysis of the Unconcentrated Background of the EPIC pn Camera on Board XMM-Newton, https://ui.adsabs.harvard.edu/abs/2021ApJ...908...37M/abstract
XMM/MOS  https://ui.adsabs.harvard.edu/abs/2008A%26A...478..575K/abstract
AstroSAT/LAXPC 

The LAXPC team have described an improved model for LAXPC background, which incorporates the diurnal variation that was observed earlier. It also identifies some time period in a few orbits just after SAA exit which are badly affected by SAA and are now eliminated from GTI.

These coupled with some improvements in calculating the gain shift in LAXPC20 have improved the background estimate for both light curve
and spectral analysis significantly.

These are incorporated in the latest version (3.4.3) of the software available from the LAXPC website

https://www.tifr.res.in/~astrosat_laxpc/LaxpcSoft.html

Accounts for latitudinal, longitudinal, and quasi-diurnal (84495 s) variations.
https://arxiv.org/abs/2205.03136
  • Antia, H.M., Agrawal, P.C., Katoch, T., Manchanda, R.K., Mukerjee, K., and Shah, P., 2022, ApJS, accepted,

    Improved background model for the Large Area X-ray Proportional Counter (LAXPC) instrument on-board AstroSat, https://arxiv.org/abs/2205.03136


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