Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Русский
Статья

Testing the Kerr Black Hole Hypothesis with GRS 1716-249 by Combining the Continuum Fitting and the Iron-line Methods

Zuobin ZhangCenter for Field Theory and Particle Physics and Department of Physics, Fudan University, 200438 Shanghai, People’s Republic of China; [email protected]H. LiuCenter for Field Theory and Particle Physics and Department of Physics, Fudan University, 200438 Shanghai, People’s Republic of China; [email protected]Askar B. AbdikamalovCenter for Field Theory and Particle Physics and Department of Physics, Fudan University, 200438 Shanghai, People’s Republic of China; [email protected]Dimitry AyzenbergTheoretical Astrophysics, Eberhard-Karls Universität Tübingen, D-72076 Tübingen, GermanyCosimo BambiCenter for Field Theory and Particle Physics and Department of Physics, Fudan University, 200438 Shanghai, People’s Republic of China; [email protected]Menglei ZhouInstitut für Astronomie und Astrophysik, Eberhard-Karls Universität Tübingen, D-72076 Tübingen, Germany
The Astrophysical Journaljournal2022en
ABI

Аннотация

Abstract The continuum-fitting and the iron-line methods are currently the two leading techniques for measuring the spins of accreting black holes. In the past few years, these two methods have been developed for testing fundamental physics. In the present work, we employ state-of-the-art models to test black holes through the continuum-fitting and the iron-line methods and we analyze three NuSTAR observations of the black hole binary GRS 1716-249 during its outburst in 2016–2017. In these three observations, the source was in a hard-intermediate state and the spectra show both a strong thermal component and prominent relativistic reflection features. Our analysis confirms the Kerr nature of the black hole in GRS 1716-249 and provides quite stringent constraints on possible deviations from the predictions of general relativity.

Темы

Идентификаторы

Цитирования и источники

Показатели — AkademScholar · Скоро