Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Lopez, Melissa"'
Autor:
Martins, Ana, Lopez, Melissa, Meijer, Quirijn, Baltus, Gregory, van der Sluys, Marc, Broeck, Chris Van Den, Caudill, Sarah
The detection of gravitational waves (GWs) from binary neutron stars (BNSs) with possible telescope follow-ups opens a window to ground-breaking discoveries in the field of multi-messenger astronomy. With the improved sensitivity of current and futur
Externí odkaz:
http://arxiv.org/abs/2409.05068
Autor:
Dooney, Tom, Curier, Lyana, Tan, Daniel, Lopez, Melissa, Broeck, Chris Van Den, Bromuri, Stefano
Simulating realistic time-domain observations of gravitational waves (GWs) and GW detector glitches can help in advancing GW data analysis. Simulated data can be used in downstream tasks by augmenting datasets for signal searches, balancing data sets
Externí odkaz:
http://arxiv.org/abs/2401.16356
Autor:
Laguarta, Paloma, van der Laag, Robin, Lopez, Melissa, Dooney, Tom, Miller, Andrew L., Schmidt, Stefano, Cavaglia, Marco, Caudill, Sarah, Driessens, Kurt, Karel, Jöel, Lenders, Roy, Broeck, Chris Van Den
Gravitational-wave (GW) interferometers are able to detect a change in distance of $\sim$ 1/10,000th the size of a proton. Such sensitivity leads to large appearance rates of non-Gaussian transient noise bursts in the main detector strain, also known
Externí odkaz:
http://arxiv.org/abs/2310.03453
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 confusion greatly reduces the efficiency of searches. A deep-learning mode
Externí odkaz:
http://arxiv.org/abs/2308.12323
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 artefacts, known as glitches, that happens at a rate around $1$ per minute
Externí odkaz:
http://arxiv.org/abs/2205.09204
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 convolutional neural networks introduced in our previous paper (PhysRevD.
Externí odkaz:
http://arxiv.org/abs/2205.04750
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 transient searches, the most problematic are transient noise artifacts,
Externí odkaz:
http://arxiv.org/abs/2203.06494
Writing is, by nature, a strategic, adaptive, and more importantly, an iterative process. A crucial part of writing is editing and revising the text. Previous works on text revision have focused on defining edit intention taxonomies within a single d
Externí odkaz:
http://arxiv.org/abs/2203.03802
Autor:
Suriyampola, Piyumika S., Huang, Alexander J., Lopez, Melissa, Conroy-Ben, Otakuye, Martins, Emília P.
Publikováno v:
In Aquatic Toxicology March 2024 268
Autor:
Baltus, Grégory, Janquart, Justin, Lopez, Melissa, Reza, Amit, Caudill, Sarah, Cudell, Jean-René
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 compact binary coalescences, for light, intermediate and heavy binary-neutro
Externí odkaz:
http://arxiv.org/abs/2105.13664