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Effects of satellite lines in fittings of He-like triplets of X-ray Spectra

Published online by Cambridge University Press:  12 October 2020

Lan Zhang Open the ORCID record for Lan Zhang [Opens in a new window] ,
Xiangxiang Xue ,
Dawei Yuan ,
Huigang Wei ,
Feilu Wang  and
Gang Zhao
Lan Zhang
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing100012, China
Xiangxiang Xue
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing100012, China School of Astronomy and Space Science University of Chinese Academy of Sciences, Beijing101408, China
Dawei Yuan
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing100012, China
Huigang Wei
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing100012, China
Feilu Wang
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing100012, China email: [email protected]
Gang Zhao
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing100012, China School of Astronomy and Space Science University of Chinese Academy of Sciences, Beijing101408, China
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Abstract

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We estimate the wind speeds with a Bayesian inference and a Markov Chain Monte Carlo (MCMC) tool for the high resolution X-ray spectra of Vela X-1, to understand the effect of satellite lines on spectral analysis. After modelling continua and He-like triplets of the spectra with a parameterized two-component power-law model and a mullti-Gaussian model, respectively, we estimate the contamination from satellite lines, and improve the self-consistency of wind speeds derived from the He-like triplet lines of different elements. Moreover, our fitting shows that the column density of scatter component varies from phase to phase.

Keywords

methods: data analysisX-rays: binariesline: identification
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S350: Laboratory Astrophysics: From Observations to Interpretation , April 2019 , pp. 249 - 252
Copyright
© International Astronomical Union 2020

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