Search Results for author: Nikhil Mukund

Found 2 papers, 2 papers with code

Direct limits for scalar field dark matter from a gravitational-wave detector

1 code implementation5 Mar 2021 Sander M. Vermeulen, Philip Relton, Hartmut Grote, Vivien Raymond, Christoph Affeldt, Fabio Bergamin, Aparna Bisht, Marc Brinkmann, Karsten Danzmann, Suresh Doravari, Volker Kringel, James Lough, Harald Lück, Moritz Mehmet, Nikhil Mukund, Séverin Nadji, Emil Schreiber, Borja Sorazu, Kenneth A. Strain, Henning Vahlbruch, Michael Weinert, Benno Willke

The nature of dark matter remains unknown to date; several candidate particles are being considered in a dynamically changing research landscape.

General Relativity and Quantum Cosmology High Energy Physics - Phenomenology

Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216

1 code implementation16 Oct 2020 Shreejit Jadhav, Nikhil Mukund, Bhooshan Gadre, Sanjit Mitra, Sheelu Abraham

We present a novel Machine Learning (ML) based strategy to search for binary black hole (BBH) mergers in data from ground-based gravitational wave (GW) observatories.

Transfer Learning

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