Astrophysical Modeling and Inference Limitations in Pulsar Timing Arrays: A Case Study

ORAL  · Invited

Abstract

Recent pulsar timing array (PTA) experiments have found evidence for a nano-hertz gravitational wave background (GWB), prompting extensive investigation into its possible origins. While many studies have performed parameter estimation for proposed sources, few assess the statistical viability of their models for inference from PTA data. A complete analysis of the source of the GWB needs to understand the degeneracy and saturation point of its model parameters— where more data no longer improves constraints—as well as the extent of prior-dominance of the parameters in the Bayesian analyses. In this talk, I highlight my study of the statistical viability of a widely used semi-analytic population model of supermassive black hole binaries. The study has strong implications for the limitations of astrophysical modeling and inferences, framing the expectations for the near and far future of PTAs.

*The NANOGrav NSF Physics Frontier Center supported my work, awards #2020265 and #1430284. The work is also supported by the Vanderbilt Initiative in Data Intensive Astrophysics (VIDA) Fellowship. This work was conducted in part using the resources of the Advanced Computing Center for Research and Education (ACCRE) at Vanderbilt University, Nashville, TN.

Publication: Astrophysical Modeling and Inference Limitations in Pulsar Timing Arrays (in-prep manuscript)

Presenters

  • Nima Laal

    • Vanderbilt University

Authors

  • Nima Laal

    • Vanderbilt University
  • Stephen R Taylor

    • Vanderbilt University