Let the Data Decide II: Capabilities of Our Comprehensive Pulsar Timing Data Analysis Software

ORAL

Abstract

I present the current capabilities and future goals of our data-driven and flexible software framework, developed for the analysis of Pulsar Timing Array (PTA) datasets. Building on the foundations of its predecessors, our software is not only among the fastest but also includes state-of-the-art Bayesian inference algorithms, many of which are being applied to data for the first time. The software's capabilities enable us to probe the gravitational-wave-induced signals and pulsar intrinsic noise with unprecedented flexibility and speed. In this talk, I present results from the early applications of these algorithms to PTA data, highlighting improvements in parameter estimation and sensitivity to complex signal structures. I also outline future development directions to extend the framework's capabilities and accessibility to the broader PTA community.

*Supported by the Vanderbilt Initiative in Data Intensive Astrophysics (VIDA) Fellowship.

Presenters

  • Nima Laal

    • Vanderbilt University

Authors

  • Nima Laal

    • Vanderbilt University
  • Kyle Gersbach

    • Vanderbilt University
  • Stephen R Taylor

    • Vanderbilt University
  • Neil John Cornish

    • Montana State University
  • Alexander W Criswell

    • University of Minnesota
    • Vanderbilt University, Fisk University
  • Matthew Miles

    • Swinburne University of Technology
  • Aiden Gundersen

    • Montana State University