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Interface machine learning with Cosmology and General Theory of relativity to visually analyze the evolution of GRS 1915+105 Black hole X-ray binary using WATCH ASM data captured aboard GRANAT.

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Version: 1.3 Release Version: 1.0

Black-Hole-X-ray-binary-Evolution

Deep analysis of the galactic black hole x-ray binary GRS 1915+105 that contains a stellar-mass black hole and its evolution over the years 1992-2016. The studies include tests of GT relativity in strong gravity, plasma physics in accretion discs and particle acceleration. The model predicts the extended evolution of this particular BHXRB by studying the light curves extracted over 4 energy bands using multi dimensional logistic regression and forest predictive algorithms.

Factors to consider

  • Superluminal projection (microquasar theory)- relativistic aberration
  • Gas cloud ejection around the entity
  • High time variable
  • Count Rate: production of false features at high frequencies in the power spectrum
  • Fluctuating count rate due to proportional counter unit breakdown or missing data

Important Observation

Unstable trends of count rate and R^2 at extreme wind column densities.

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Interface machine learning with Cosmology and General Theory of relativity to visually analyze the evolution of GRS 1915+105 Black hole X-ray binary using WATCH ASM data captured aboard GRANAT.

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