A White Paper on The Multi-Messenger Science Landscape in India
Samsuzzaman Afroz, Sanjib Kumar Agarwalla, Dipankar Bhattacharya, Soumya Bhattacharya, Subir Bhattacharyya, Varun Bhalerao, Debanjan Bose, Chinmay Borwanker, Ishwara Chandra C. H., Aniruddha Chakraborty, Indranil Chakraborty, Sovan Chakraborty, Debarati Chatterjee

TL;DR
This white paper discusses the potential of multi-messenger astronomy in India to explore fundamental physics from neutron star structures to cosmological phenomena, emphasizing observational opportunities across multiple cosmic scales.
Contribution
It highlights the role of Indian observatories in advancing multi-messenger science and identifies key scientific cases and discovery opportunities in this emerging field.
Findings
Multi-messenger observations can probe neutron star properties and matter under extreme conditions.
These observations can address cosmological questions like the Hubble constant, dark matter, and dark energy.
Indian observatories can significantly contribute to global multi-messenger research.
Abstract
The multi-messenger science using different observational windows to the Universe such as Gravitational Waves (GWs), Electromagnetic Waves (EMs), Cosmic Rays (CRs), and Neutrinos offer an opportunity to study from the scale of a neutron star to cosmological scales over a large cosmic time. At the smallest scales, we can explore the structure of the neutron star and the different energetics involved in the transition of a pre-merger neutron star to a post-merger neutron star. This will open up a window to study the properties of matter in extreme conditions and a guaranteed discovery space. On the other hand, at the largest cosmological scales, multi-messenger observations allow us to study the long-standing problems in physical cosmology related to the Hubble constant, dark matter, and dark energy by mapping the expansion history of the Universe using GW sources. Moreover, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
