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Bayesian analysis on the X-ray spectra of the binary neutron star merger GW170817
Natl Tsing Hua Univ, Inst Astron, Hsinchu 30013, Taiwan..
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.
Natl Tsing Hua Univ, Inst Astron, Hsinchu 30013, Taiwan..
2019 (English)In: JOURNAL OF HIGH ENERGY ASTROPHYSICS, ISSN 2214-4048, Vol. 21, p. 1-5Article in journal (Refereed) Published
Abstract [en]

For the first time, we present a Bayesian time-resolved spectral study of the X-ray afterglow datasets of GW170817/GRB17017A observed by the Chandra X-ray Observatory. These include all 12 public datasets, from the earliest observation taken at t similar to 9 d to the newest observation at similar to 359 d post-merger. While our results are consistent with the other works using Cash statistic within uncertainty, the Bayesian analysis we performed in this work have yielded Gaussian-like parameter distributions. We also obtained the parameter uncertainties directly from their posterior probability distributions. We are able to confirm that the power-law photon index has remained constant of Gamma similar to 1.6 throughout the entire year-long observing period, except for the first dataset observed at t = 8.9 d when Gamma = 1.04 +/- 0.44 is marginally harder. We also found that the unabsorbed X-ray flux peaked at t similar to 155 d, temporally consistent with the X-ray flare model suggested recently by Piro et al. (2019). The X-ray flux has been fading since similar to 160 days after the merger and has returned to the level as first discovered after one year. Our result shows that the X-ray spectrum of GW170817/GRB170817A is well-described by a simple power-law originated from non-thermal slow-cooling synchrotron radiation.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2019. Vol. 21, p. 1-5
Keywords [en]
Gamma-ray burst: individual (GRB170817A), Gravitational waves, X-rays: individual (GW170817)
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:kth:diva-245132DOI: 10.1016/j.jheap.2019.01.001ISI: 000458543600001Scopus ID: 2-s2.0-85060735708OAI: oai:DiVA.org:kth-245132DiVA, id: diva2:1296053
Note

QC 20190313

Available from: 2019-03-13 Created: 2019-03-13 Last updated: 2019-06-11Bibliographically approved

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