Constraining Cosmological Parameters through the kSZ effect

POSTER

Abstract

This project seeks to improve upon previous FORTRAN 90 software used to model the measurements and statistics of large scale galaxy clusters. It implements the python wrapper for the Core Cosmology Library (LSST DESC, in preparation) for several core calculations. It then implements a custom python script to model the measurements and statistics of the mean pairwise velocity of large galaxy clusters as outlined in Mueller et. al 2015. Care has been taken to ensure maintainability and reusability of the code by using an object oriented structure. Computing performance was also taken into account through code optimization and parallelization, moderately improving single thread calculations while drastically improving performance on larger multi-core processors.

Presenters

  • Jonathan David Davis

    Cornell University, Utah Valley University

Authors

  • Jonathan David Davis

    Cornell University, Utah Valley University

  • Rachel Bean

    Cornell University