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Published April 10, 2024 | Published
Journal Article Open

Toward More Accurate Synthetic Reflection Spectra: Improving the Calculations of Returning Radiation

Abstract

Abstract We present a new model to calculate reflection spectra of thin accretion disks in Kerr spacetimes. Our model includes the effect of returning radiation, which is the radiation that is emitted by the disk and returns to the disk because of the strong light bending near a black hole. The major improvement with respect to the existing models is that it calculates the reflection spectrum at every point on the disk by using the actual spectrum of the incident radiation. Assuming a lamppost coronal geometry, we simulate simultaneous observations of NICER and NuSTAR of bright Galactic black holes and we fit the simulated data with the latest version of relxill (modified to read the table of reflionx, which is the nonrelativistic reflection model used in our calculations). We find that relxill with returning radiation cannot fit well the simulated data when the black hole spin parameter is very high and the coronal height and disk's ionization parameter are low, and some parameters can be significantly overestimated or underestimated. We can find better fits and recover the correct input parameters as the value of the black hole spin parameter decreases and the value of the coronal height increases.

Copyright and License (English)

© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acknowledgement (English)

This work was supported by the Natural Science Foundation of Shanghai, grant No. 22ZR1403400, the National Natural Science Foundation of China (NSFC), grant Nos. 12250610185, 11973019, and 12261131497, and the Shanghai Municipal Education Commission, grant No. 2019-01-07-00-07-E00035. T.M. acknowledges also the support from the China Scholarship Council (CSC), grant No. 2022GXZ005433. S.R. acknowledges also the support from the China Postdoctoral Science Foundation, grant No. 2022M720035, and the Teach@Tübingen Fellowship. J.J. acknowledges support from the Leverhulme Trust, Isaac Newton Trust and St Edmund's College, University of Cambridge.

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Additional details

Created:
May 23, 2024
Modified:
May 23, 2024