THE RICHARDSON LAB

Publications

2026

Tao, L., Goodarzi, P. & Richardson, J. W.  (2026). "Error signals for overcoming the laser power limits of gravitational-wave detectors." Classical and Quantum Gravity, 43(14), 5008

2025

Rosauer, T., Cao, H. T., Bhattacharya, M., Carney, P., Johnson, L., Levin, S., Liang, C., Ma, X., Martin Gutierrez, L., Padilla, M., Tao, L., Wilkin, A., Brooks, A. & Richardson, J. W.  (2025). "Demonstration of a next-generation wavefront actuator for gravitational-wave detection." Optica, 12(10), 1569

Tao, L., Bhattacharya, M., Carney, P., Gutierrez, L. M., Johnson, L., Levin, S., Liang, C., Ma, X., Padilla, M., Rosauer, T., Wilkin, A. & Richardson, J. W. (2025). "Expanding the Quantum-Limited Gravitational-Wave Detection Horizon." Physical Review Letters, 134(5), 1401

2024

Gurav, R., Kelly, I., Goodarzi, P., Effler, A., Barish, B., Papalexakis, E. E. & Richardson, J. W. (2024). "Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors." 2024 IEEE International Conference on Big Data (BigData), 4145–4152

Fulda, P., Ballmer, S. & Richardson, J. W. (2024). "Achieving a cosmological reach: from Advanced LIGO to the next generation of terrestrial gravitational wave detectors." SPIE Proceedings Volume 12997, Optics and Photonics for Advanced Dimensional Metrology III; 129970T

2023

Barish, B. C., Richardson, J. W., Papalexakis, E. E. & Gurav, R. (2023). "Machine Learning for Complex Instrument Design and Optimization." Artificial Intelligence for Science, 95–116

2022

Richardson, J. W., Pandey, S., Bytyqi, E., Edo, T. & Adhikari, R. X. (2022). "Optimizing gravitational-wave detector design for squeezed light." Physical Review D, 105(10), 2002

Aiello, L., Richardson, J. W., Vermeulen, S. M., Grote, H., Hogan, C., Kwon, O. & Stoughton, C. (2022). "Constraints on Scalar Field Dark Matter from Colocated Michelson Interferometers." Physical Review Letters, 128(12), 1101

Gurav, R., Papalexakis, E. E., Vajente G., Richardson, J. W. & Barish, B (2022). "Identifying Witnesses to Noise Transients in Ground-based Gravitational-wave Observations using Auxiliary Channels with Matrix and Tensor Factorization Techniques." The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022) AI for Science Workshop