The NANOGrav 15 yr Data Set: Piecewise Power-Law Reconstruction of the Gravitational-Wave Background
Agazie et al. arXiv:2601.09481 (2026)
CV
Education
- Ph.D in Astrophysics, Vanderbilt University, 2026 (expected)
- M.Math. in Mathematics & Physics, University of York, 2020
Publications
Finite Populations & Finite Time: The Non-Gaussianity of a Gravitational Wave Background
Lamb, W. G. et al. (2025) arXiv:2511.09659
Solving the PTA data analysis problem with a global Gibbs scheme
Laal et al. Phys. Rev. D 111, 063067
Deep Neural Emulation of the Supermassive Black Hole Binary Population
Nima Laal et al 2025 ApJ 982 55
Spectral Variance in a Stochastic Gravitational-wave Background from a Binary Population
William G. Lamb and Stephen R. Taylor 2024 ApJL 971 L10
Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background
Agazie et al 2024 ApJ 966 105
The NANOGrav 15 yr Data Set: Looking for Signs of Discreteness in the Gravitational-wave Background
Agazie et al 2025 ApJ 978 31
Rapid refitting techniques for Bayesian spectral characterization of the gravitational wave background using pulsar timing arrays
Lamb, W. G.; Taylor, S. R.; van Haasteren, R. (2023) Phys. Rev. D 108, 103019
Exploring the capabilities of Gibbs sampling in pulsar timing arrays
Laal et al. Phys. Rev. D 108, 063008
The NANOGrav 15 yr Data Set: Search for Signals from New Physics
Afzal et al 2023 ApJL 951 L117
The NANOGrav 15 yr Data Set: Evidence for a Gravitational-wave Background
Agazie et al 2023 ApJL 951 L8
The NANOGrav 15 yr Data Set: Constraints on Supermassive Black Hole Binaries from the Gravitational-wave Background
Agazie et al 2023 ApJL 952 L37
A parallelized Bayesian approach to accelerated gravitational-wave background characterization
Taylor et al. Phys. Rev. D 105, 084049
Talks
Service and leadership
- Website Chair, Astrobites