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The XMM-Newton cross-calibration campaign

The XMM-Newton cross-calibration campaign. M.G.F. Kirsch, A.M.T. Pollock, B.Chen, M.Smith M.M. Sierra, L. Metcalfe, B. Altieri. EPIC and RGS ratio. menu. objectives schedule methods outcome (so far). objectives. systematic XSA data mining public CCFs and SAS

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The XMM-Newton cross-calibration campaign

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  1. The XMM-Newton cross-calibration campaign M.G.F. Kirsch, A.M.T. Pollock, B.Chen, M.Smith M.M. Sierra, L. Metcalfe, B. Altieri

  2. EPIC and RGS ratio

  3. menu • objectives • schedule • methods • outcome (so far)

  4. objectives • systematic XSA data mining • public CCFs and SAS • 25targets, 200observations • line-rich spectra RGS  EPIC • continuum spectra EPIC  RGS

  5. schedule • 2003/05: start of campaign • 2003/07: start of data analysis • 2003/09: first results • 2003/11: Chandra exchange • 2004/05: Green Paper • 2004/07: White Paper

  6. targets treated • line-rich sources: • SNR 1E0102-7219 (8) • AB Dor (8) • SNR N132D (14) • Capella (6) • continuum sources • PKS2155-304 (9) • PKS0558-504 (4) • RXJ1856.6-3754 (1) • RXJ0720.4-3125 (6) • RXJ0806.4-4123 (3)

  7. methods • extraction • pile-up check • flare screening • source and background extraction • response matrix generation • modelling • assessment

  8. results: PKS2155-304 • Model: constant *wabs *powerlawwhere constants for RGS are free (0.91,0.89), all other parameters are fitted simultaneously • up to ± 20% differences in flux • same trend also observed for PKS0558-504

  9. results: AB Dor • Model: constant *wabs *(vmekal+bremss)where constants for RGS are free (0.85,0.87), all other parameters are fitted simultaneously • the spectrum’s many lines are not perfectly fit but the model is good enough for this comparison • up to ± 20% differences in flux

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