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Dr Vaibhav Tiwari

Dr Vaibhav Tiwari

Research Associate
Gravity Exploration Institute

Email
vaibhav.tiwari@astro.cf.ac.uk
Telephone
+44 (0)29 2087 1995
Campuses
53, The Parade,

Overview

I focus on the inference and interpretation of the compact binary population using gravitational wave signals. The inferred population is expected to characterise the scenarios responsible for the formation of compact binaries and is now providing uncharted information. We now know that compact objects merge frequently in the universe. We have started to understand how their masses and spins are distributed. Going forward we would like to understand the environments where compact binaries are formed and merge. 

I have been fortunate to contribute to this emerging field. I made central contributions to the search analysis that made the first gravitational wave detection. Recently I wrote a code to flexibly infer the compact binary population. This code discovered multiple features in the binary black hole population, including an emerging structure in the mass distribution showing the presence of peaks and suggesting the over-production of binary black-holes around certain mass values.

Biography

After completing my undergraduate in Aerospace engineering from IIT Kharagpur, I went on to complete a master's in Physics at the University of South Carolina followed by a Ph.D. at the University of Florida. In the past few years, I have been a post doctoral researcher at the Cardiff university.

Publications

We are currently unable to retrieve the list of publications. Visit our institutional repository.

Research interests

I am a member of the LIGO-Virgo collaboration that detected the first gravitational wave signal. I have researched multiple topics in gravitational-wave astronomy, including, detector characterisation, searches of gravitational waves in the data obtained from ground-based detectors, parameter estimation for the burst sources, and coalescing binaries. In the past few years, I have focused mainly on the population analysis of binary black holes. This includes inferring the population properties of binary black holes, understanding the environment and formation channels for these binaries, or any other cosmological or astrophysical information that can be inferred from the observations.

Supervision

Past projects