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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…
The Timing System of LIGO Discoveries
Andrew G. Sullivan, Yasmeen Asali, Zsuzsanna Márka +18
LIGO's mission critical timing system has enabled gravitational wave and multi-messenger astrophysical discoveries as well as the rich science extracted. Achieving optimal detector…
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks
Jingkai Yan, Robert Colgan, John Wright +3
Gravitational wave astronomy is a vibrant field that leverages both classic and modern data processing techniques for the understanding of the universe. Various approaches have bee…
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning
Robert E. Colgan, Zsuzsa Márka, Jingkai Yan +3
As engineered systems grow in complexity, there is an increasing need for automatic methods that can detect, diagnose, and even correct transient anomalies that inevitably arise an…
A next-generation optical sensor for IceCube-Gen2
Vedant Basu, Aya Ishihara, Markus Dittmer +1
For the in-ice component of the next generation neutrino observatory at the South Pole, IceCube-Gen2, a new sensor module is being developed, which is an evolution of the D-Egg and…
Generalized Approach to Matched Filtering using Neural Networks
Jingkai Yan, Mariam Avagyan, Robert E. Colgan +5
Gravitational wave science is a pioneering field with rapidly evolving data analysis methodology currently assimilating and inventing deep learning techniques. The bulk of the soph…