The goodness of simultaneous fits in ISIS

  • Matthias Kühnel
  • , Sebastian Falkner
  • , Christoph Grossberger
  • , Ralf Ballhausen
  • , Thomas Dauser
  • , Fritz Walter Schwarm
  • , Ingo Kreykenbohm
  • , Michael A. Nowak
  • , Katja Pottschmidt
  • , Carlo Ferrigno
  • , Richard E. Rothschild
  • , Silvia Martínez-Núñez
  • , José Miguel Torrejón
  • , Felix Fürst
  • , Dmitry Klochkov
  • , Rüdiger Staubert
  • , Peter Kretschmar
  • , Jörn Wilms

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In a previous work, we introduced a tool for analyzing multiple datasets simultaneously, which has been implemented into ISIS. This tool was used to fit many spectra of X-ray binaries. However, the large number of degrees of freedom and individual datasets raise an issue about a good measure for a simultaneous fit quality. We present three ways to check the goodness of these fits: we investigate the goodness of each fit in all datasets, we define a combined goodness exploiting the logical structure of a simultaneous fit, and we stack the fit residuals of all datasets to detect weak features. These tools are applied to all RXTE-spectra from GRO 1008−57, revealing calibration features that are not detected significantly in any single spectrum. Stacking the residuals from the best-fit model for the Vela X-1 and XTE J1859+083 data evidences fluorescent emission lines that would have gone undetected otherwise.

Original languageEnglish
Pages (from-to)41-46
Number of pages6
JournalActa Polytechnica
Volume56
Issue number1
DOIs
StatePublished - 2016

Keywords

  • Data analysis
  • Multiple datasets
  • X-rays binaries

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