X-ray reflection spectroscopy is a promising technique for testing general relativity in the strong-field regime as it can be used to test the Kerr black hole hypothesis. In this context, the parametrically deformed black hole metrics proposed by Konoplya, Rezzolla, and Zhidenko [Phys. Rev. D 93, 064015 (2016)] form an important class of non-Kerr black holes. We implement this class of black hole metrics in RELXILL_NK, which is a framework we have developed for testing for non-Kerr black holes using x-ray reflection spectroscopy. We perform a qualitative analysis of the effect of the leading order strong-field deformation parameters on typical observables like the innermost stable circular orbits and the reflection spectra. We also present the first x-ray constraints on some of the deformation parameters of this metric, using Suzaku data from the supermassive black hole in Ark 564, and compare them with those obtained (or expected) from other observational techniques like gravitational waves and black hole imaging.
The aim of this research paper is to conduct analysis on ITS. Intelligent Transportation System is the amalgamation of applications of electronics, communication, analytical and decision-making tools in an integrated manner to facilitate traveller information accurately, to increase safety and optimal utilisation of transport infrastructure. This system involves vehicles, drivers, passengers, sensors, decision tools, and communication technologies, which are interacting with each other to link the infrastructure and provide improved safety and experience to users. This paper gives an insight of the current trends and applications of Intelligent Transport System on vehicles and infrastructure in India. Furthermore, this paper also talks about immediate use suggestions for applicability of ITS technology in India and the current trends in wireless and vehicle navigation system, while also exposing the existing challenges of ITS solutions.Application/Improvements: It has been found that by combining various new technologies such as agent based computing, cloud computing, VANETS etc. ITS have become very efficient to solving transport related issues in smart cities.
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