Search Results for author: Manodeep Sinha

Found 5 papers, 4 papers with code

Machine Learning the Fates of Dark Matter Subhalos: A Fuzzy Crystal Ball

no code implementations11 Aug 2020 Abigail Petulante, Andreas A. Berlind, J. Kelly Holley-Bockelmann, Manodeep Sinha

The evolution of a dark matter halo in a dark matter only simulation is governed purely byNewtonian gravity, making a clean testbed to determine what halo properties drive its fate. Using machine learning, we predict the survival, mass loss, final position, and merging time of subhalos within a cosmological N-body simulation, focusing on what instantaneous initial features of the halo, interaction, and environment matter most.

Astrophysics of Galaxies

Corrfunc: Blazing fast correlation functions with AVX512F SIMD Intrinsics

4 code implementations15 Nov 2019 Manodeep Sinha, Lehman H. Garrison

Corrfunc is an existing open-source, high-performance software package for efficiently computing a multitude of correlation functions.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Data Structures and Algorithms

Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU

4 code implementations8 Nov 2019 Manodeep Sinha, Lehman H. Garrison

Since the distribution of galaxies is determined by galaxy formation physics as well as the underlying cosmology, fitting an observed correlation function yields valuable insights into both.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Computational Physics

Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models

1 code implementation25 Jan 2019 Ellert van der Velden, Alan R. Duffy, Darren Croton, Simon J. Mutch, Manodeep Sinha

However, PRISM can additionally be used as a standalone alternative to MCMC for model analysis, providing insight into the behavior of complex scientific models.

Instrumentation and Methods for Astrophysics Computational Physics

Forward Modeling of Large-Scale Structure: An open-source approach with Halotools

2 code implementations13 Jun 2016 Andrew Hearin, Duncan Campbell, Erik Tollerud, Peter Behroozi, Benedikt Diemer, Nathan J. Goldbaum, Elise Jennings, Alexie Leauthaud, Yao-Yuan Mao, Surhud More, John Parejko, Manodeep Sinha, Brigitta Sipocz, Andrew Zentner

We present the first stable release of Halotools (v0. 2), a community-driven Python package designed to build and test models of the galaxy-halo connection.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

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