1 citations · 2 across the 6 of their papers we have counts for
6 papers
LIGO A: Detector Design and Science Prospects Beyond A+
L. Sun, K. Kuns, B. J. J. Slagmolen +1153
We present the LIGO A detector concept, an upgrade for the LIGO observatories based on room-temperature interferometers beyond the fifth observing run (O5). Building on th…
Narrow spectral artifact investigation and mitigation in LIGO data from the fourth LIGO-Virgo-KAGRA observing run
E. Goetz, A. Neunzert, A. M. Knee +258
We present efforts to identify, characterize, and mitigate narrow spectral artifacts in LIGO detector data during the fourth LIGO-Virgo-KAGRA observing run. Narrow spectral artifac…
Graph Neural Networks for Interferometer Simulations
Sidharth Kannan, Pooyan Goodarzi, Evangelos E. Papalexakis +1
In recent years, graph neural networks (GNNs) have shown tremendous promise in solving problems in high energy physics, materials science, and fluid dynamics. In this work, we intr…
Error signals for overcoming the laser power limits of gravitational-wave detectors
Liu Tao, Pooyan Goodarzi, Jonathan W. Richardson
A major barrier to improving the quantum-limited sensitivity of gravitational-wave observatories is the thermal distortions of the test masses which arise at megawatt laser power.…
Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors
Rutuja Gurav, Isaac Kelly, Pooyan Goodarzi +4
Gravitational-wave observatories like LIGO are large-scale, terrestrial instruments housed in infrastructure that spans a multi-kilometer geographic area and which must be actively…
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…