370 citations · 1.6k across the 27 of their papers we have counts for
12 papers · 1 filter
MARVEL: A Multi Agent-based Research Validator and Enabler using Large Language Models
Nikhil Mukund, Yifang Luo, Fan Zhang +2
We present MARVEL (https://ligogpt.mit.edu/marvel), a locally deployable, open-source framework for domain-aware question answering and assisted scientific research. It is designed…
GW-YOLO: Multi-transient segmentation in LIGO using computer vision
Siddharth Soni, Nikhil Mukund, Erik Katsavounidis
Time series data and their time-frequency representations from gravitational-wave interferometers present opportunities for artificial intelligence methods in signal and image proc…
GEO600 beam splitter thermal compensation system: new design and commissioning
Séverin Nadji, Holger Wittel, Nikhil Mukund +8
Gravitational waves have revolutionised the field of astronomy by providing scientists with a new way to observe the universe and gain a better understanding of exotic objects like…
LIGO Detector Characterization in the Second and Third Observing Runs
D. Davis, J. S. Areeda, B. K. Berger +284
The characterization of the Advanced LIGO detectors in the second and third observing runs has increased the sensitivity of the instruments, allowing for a higher number of detecta…
A machine learning approach for GRB detection in AstroSat CZTI data
Sheelu Abraham, Nikhil Mukund, Ajay Vibhute +6
We present a machine learning (ML) based method for automated detection of Gamma-Ray Burst (GRB) candidate events in the range 60 keV - 250 keV from the AstroSat Cadmium Zinc Tellu…
Ground motion prediction at gravitational wave observatories using archival seismic data
Nikhil Mukund, Michael Coughlin, Jan Harms +13
Gravitational wave observatories have always been affected by tele-seismic earthquakes leading to a decrease in duty cycle and coincident observation time. In this analysis, we lev…
Effect of induced seismicity on advanced gravitational wave interferometers
Nikhil Mukund, Brian O'Reilly, Surendra Nadh Somala +1
Advanced LIGO and the next generation of ground-based detectors aim to capture many more binary coalescences through improving sensitivity and duty cycle. Earthquakes have always b…
Implications of dedicated seismometer measurements on Newtonian-noise cancellation for Advanced LIGO
M. W. Coughlin, J. Harms, J. Driggers +5
Newtonian gravitational noise from seismic fields will become a limiting noise source at low frequency for second-generation, gravitational-wave detectors. It is planned to use sei…
Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO
J. C. Driggers, S. Vitale, A. P. Lundgren +228
The Advanced LIGO detectors have recently completed their second observation run successfully. The run lasted for approximately 10 months and lead to multiple new discoveries. The…
Identification and mitigation of narrow spectral artifacts that degrade searches for persistent gravitational waves in the first two observing runs of Advanced LIGO
P. B. Covas, A. Effler, E. Goetz +260
Searches are under way in Advanced LIGO and Virgo data for persistent gravitational waves from continuous sources, e.g. rapidly rotating galactic neutron stars, and stochastic sour…
Information Retrieval and Recommendation System for Astronomical Observatories
Nikhil Mukund, Saurabh Thakur, Sheelu Abraham +5
We present a machine learning based information retrieval system for astronomical observatories that tries to address user defined queries related to an instrument. In the modern i…
Transient Classification in LIGO data using Difference Boosting Neural Network
Nikhil Mukund, Sheelu Abraham, Shivaraj Kandhasamy +2
Detection and classification of transients in data from gravitational wave detectors are crucial for efficient searches for true astrophysical events and identification of noise so…