Search Results for author: Digvijay Wadekar

Found 8 papers, 6 papers with code

A new approach to template banks of gravitational waves with higher harmonics: reducing matched-filtering cost by over an order of magnitude

1 code implementation23 Oct 2023 Digvijay Wadekar, Tejaswi Venumadhav, Ajit Kumar Mehta, Javier Roulet, Seth Olsen, Jonathan Mushkin, Barak Zackay, Matias Zaldarriaga

The templates used in current searches in the LIGO-Virgo-Kagra (LVK) data model the dominant quadrupole mode $(\ell, m)=(2, 2)$ of the signals, and omit sub-dominant higher-order modes (HM) such as $(\ell, m)=(3, 3)$, $(4, 4)$, which are predicted by general relativity.

Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter

1 code implementation4 Jan 2022 Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, Miles Cranmer, David N. Spergel, Nicholas Battaglia, Daniel Anglés-Alcázar, Lars Hernquist, Shirley Ho

Using SR on the data from the IllustrisTNG hydrodynamical simulation, we find a new proxy for cluster mass which combines $Y_\mathrm{SZ}$ and concentration of ionized gas ($c_\mathrm{gas}$): $M \propto Y_\mathrm{conc}^{3/5} \equiv Y_\mathrm{SZ}^{3/5} (1-A\, c_\mathrm{gas})$.

Symbolic Regression

Cosmological constraints from BOSS with analytic covariance matrices

1 code implementation1 Sep 2020 Digvijay Wadekar, Mikhail M. Ivanov, Roman Scoccimarro

We use analytic covariance matrices to carry out a full-shape analysis of the galaxy power spectrum multipoles from the Baryon Oscillation Spectroscopic Survey (BOSS).

Cosmology and Nongalactic Astrophysics

HInet: Generating neutral hydrogen from dark matter with neural networks

no code implementations20 Jul 2020 Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho, Laurence Perreault-Levasseur

Upcoming 21cm surveys will map the spatial distribution of cosmic neutral hydrogen (HI) over very large cosmological volumes.

Cosmology and Nongalactic Astrophysics

Cannot find the paper you are looking for? You can Submit a new open access paper.