100 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Tsing Hua UniversityTW10 papers
- National Yang Ming Chiao Tung UniversityTW10 papers
- Observatoire de la Côte d’AzurFR10 papers
- The University of AdelaideAU10 papers
- The University of TokyoJP10 papers
- Université Côte d'AzurFR10 papers
- Université Paris-SaclayFR10 papers
- University of AntwerpBE10 papers
- University of Minnesota SystemUS10 papers
- Aix-Marseille UniversitéFR9 papers
- American UniversityUS9 papers
- Ariel UniversityIL9 papers
10 papers · 1 filter
GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1839
GW240925 and GW250207 are two loud gravitational-wave signals from binary black hole coalescences observed with network signal-to-noise ratios and , respectively…
Searches for Continuous Gravitational Waves from Supernova Remnants in the first part of the LIGO-Virgo-KAGRA Fourth Observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1764
We present results from directed searches for continuous gravitational waves from a sample of 15 nearby supernova remnants, likely hosting young neutron star candidates, using data…
Narrowband searches for continuous gravitational waves from known pulsars in the first two parts of the fourth LIGO--Virgo--KAGRA observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1853
Rotating non-axisymmetric neutron stars (NSs) are promising sources for continuous gravitational waves (CWs). Such CWs can, if detected, inform us about the internal structure and…
Constraints on gravitational waves from the 2024 Vela pulsar glitch
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1774
Among known neutron stars, the Vela pulsar is one of the best targets for gravitational-wave searches. It is also one of the most prolific in terms of glitches, sudden frequency ch…
Search for planetary-mass ultra-compact binaries using data from the first part of the LIGO--Virgo--KAGRA fourth observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1765
We present a search for gravitational waves from inspiraling, planetary-mass ultra-compact binaries using data from the first part of the fourth observing run of LIGO, Virgo and KA…
Directional Search for Persistent Gravitational Waves: Results from the First Part of LIGO-Virgo-KAGRA's Fourth Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1765
The angular distribution of gravitational-wave power from persistent sources may exhibit anisotropies arising from the large-scale structure of the Universe. This motivates directi…
GW250114: testing Hawking's area law and the Kerr nature of black holes
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1785
The gravitational-wave signal GW250114 was observed by the two LIGO detectors with a network matched-filter signal-to-noise ratio of 80. The signal was emitted by the coalescence o…
GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1786
Version 4.0 of the Gravitational-Wave Transient Catalog (GWTC-4.0) adds new candidates detected by the LIGO, Virgo, and KAGRA observatories through the first part of the fourth obs…
All-sky search for long-duration gravitational-wave transients in the first part of the fourth LIGO-Virgo-KAGRA Observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1772
We present an all-sky search for long-duration gravitational waves (GWs) from the first part of the LIGO-Virgo-KAGRA fourth observing run (O4), called O4a and comprising data taken…
Application of Non-Linear Noise Regression in the Virgo Detector
R. Weizmann Kiendrebeogo, Muhammed Saleem, Marie Anne Bizouard +8
This work presents the first demonstration of non-linear noise regression in the Virgo detector using deep learning techniques. We use DeepClean, a convolutional autoencoder previo…