44 citations · 111 across the 9 of their papers we have counts for
6 papers · 1 filter
Learning Approximate Isometric Embeddings for Efficient Template Placement
Alexandra Wernersson, Jessica Irwin, Melissa Lopez +1
The sphere covering problem has broad applications in science however, exact solutions are computationally infeasible on curved, high-dimensional manifolds because distances must b…
Ameliorating transient noise bursts in gravitational-wave searches for intermediate-mass black holes
Melissa Lopez, Giada Caneva, Ana Martins +5
The direct observation of intermediate-mass black holes (IMBH) populations would not only strengthen the possible evolutionary link between stellar and supermassive black holes, bu…
Detection of anomalies amongst LIGO's glitch populations with autoencoders
Paloma Laguarta, Robin van der Laag, Melissa Lopez +9
Gravitational-wave (GW) interferometers are able to detect a change in distance of 1/10,000th the size of a proton. Such sensitivity leads to large appearance rates of non-G…
Gravitational-Wave Searches for Cosmic String Cusps in Einstein Telescope Data using Deep Learning
Quirijn Meijer, Melissa Lopez, Daichi Tsuna +1
Gravitational-wave searches for cosmic strings are currently hindered by the presence of detector glitches, some classes of which strongly resemble cosmic string signals. This conf…
Simulating Transient Noise Bursts in LIGO with gengli
Melissa Lopez, Vincent Boudart, Stefano Schmidt +1
In the field of gravitational-wave (GW) interferometers, the most severe limitation to the detection of transient signals from astrophysical sources comes from transient noise arte…
Simulating Transient Noise Bursts in LIGO with Generative Adversarial Networks
Melissa Lopez, Vincent Boudart, Kerwin Buijsman +2
The noise of gravitational-wave (GW) interferometers limits their sensitivity and impacts the data quality, hindering the detection of GW signals from astrophysical sources. For tr…