44 citations · 111 across the 9 of their papers we have counts for
10 papers
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…
Convolutional neural network for gravitational-wave early alert: Going down in frequency
Grégory Baltus, Justin Janquart, Melissa Lopez +2
We present here the latest development of a machine-learning pipeline for pre-merger alerts from gravitational waves coming from binary neutron stars. This work starts from the con…
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…
Detecting the early inspiral of a gravitational-wave signal with convolutional neural networks
Grégory Baltus, Justin Janquart, Melissa Lopez +3
We introduce a novel methodology for the operation of an early %warning alert system for gravitational waves. It is based on short convolutional neural networks. We focus on compac…
Searching for ring-like structures in the Cosmic Microwave Background
Melissa Lopez, Pietro Bonizzi, Kurt Driessens +3
In this research, we present an alternative methodology to search for ring-like structures in the sky with unusually large temperature gradients, namely Hawking points (HP), in the…
Convolutional neural networks for the detection of the early inspiral of a gravitational-wave signal
Gregory Baltus, Justin Janquart, Melissa Lopez +3
GW170817 has led to the first example of multi-messenger astronomy with observations from gravitational wave interferometers and electromagnetic telescopes combined to characterise…