Constraining the spin and the deformation parameters from the black hole shadow

By N. Tsukamoto, Zilong Li, Cosimo Bambi. 2014

204 citations recorded by the source corpus.

Within 5–10 years, very-long baseline interferometry (VLBI) facilities will be able to directly image the accretion flow around SgrA*, the super-massive black hole candidate at the center of the Galaxy, and observe the black hole ``shadow''. In 4-dimensional general relativity, the no-hair theorem asserts that uncharged black holes are described by the Kerr solution and are completely specified by their mass M and by their spin parameter a. In this paper, we explore the possibility of distinguishing Kerr and Bardeen black holes from their shadow. In Hioki & Maeda (2009), under the assumption that the background geometry is described by the Kerr solution, the authors proposed an algorithm to estimate the value of a/M by measuring the distortion parameter δ, an observable quantity that characterizes the shape of the shadow. Here, we try to extend their approach. Since the Hioki-Maeda distortion parameter is degenerate with respect to the spin and possible deviations from the Kerr solution, one has to measure another quantity to test the Kerr black hole hypothesis. We study a few possibilities. We find that it is extremely difficult to distinguish Kerr and Bardeen black holes from the sole observation of the shadow, and out of reach for the near future. The combination of the measurement of the shadow with possible accurate radio observations of a pulsar in a compact orbit around SgrA* could be a more promising strategy to verify the Kerr black hole paradigm.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/7c9eb86cb74ccdfa63128d8a0b3dc1ca80202610

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In Astronomy and Astrophysics

  1. O. Tsupko
  2. G. Bisnovatyi-Kogan
  3. A. Abdujabbarov
  4. B. Ahmedov
  5. Luciano Rezzolla
  6. Sushant G. Ghosh
  7. Rahul Kumar
  8. Cosimo Bambi

In Instrumentation

  1. O. Tsupko
  2. G. Bisnovatyi-Kogan
  3. Luciano Rezzolla

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