Astronomy and Astrophysics – Astrophysics
Scientific paper
Feb 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996rftu.proc..235b&link_type=abstract
International Conference on X-ray Astronomy and Astrophysics: Röntgenstrahlung from the Universe, p. 235 - 236
Astronomy and Astrophysics
Astrophysics
1
Supernova Remnants: X Rays
Scientific paper
The authors developed and tested a non-equilibrium of ionization (NEI) emission model to study the X-ray emission of supernova remnants (SNRs) with a parametric fitting approach. They present results of ROSAT PSPC spectral fitting simulations with their emission model. They have found that, the confidence ranges of the plasma temperature tend to be larger with respect to fits with equilibrium of ionization models, the χ2 function is characterized by local minima in the parameter space, and there is a strong dependence of the fit results on the initial value of the ionization time used in the minimization algorithm. They explain these findings in terms of the particular nature of the model. It is concluded that, in typical cases of young and middle-aged SNR with a moderate ISM absorption, the local minima can be avoided by the χ2 fitting spectra with 5000 counts or more. Finally, the authors briefly discuss how this limit affects the feasibility of spatially resolved spectral analysis of SNRs observed with the PSPC.
Bocchino Fabrizio.
Maggio Antonio
Sciortino Salvatore
No associations
LandOfFree
On the study of NEI regime in SNR's: emission model and ROSAT PSPC spectral fitting simulations. does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On the study of NEI regime in SNR's: emission model and ROSAT PSPC spectral fitting simulations., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the study of NEI regime in SNR's: emission model and ROSAT PSPC spectral fitting simulations. will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-857307