80 citations · 138 across the 6 of their papers we have counts for
6 papers
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…
Upper Limits on the Isotropic Gravitational-Wave Background from the first part of LIGO, Virgo, and KAGRA's fourth Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1773
We present results from the search for an isotropic gravitational-wave background using Advanced LIGO and Advanced Virgo data from O1 through O4a, the first part of the fourth obse…
GWTC-4.0: Methods for Identifying and Characterizing Gravitational-wave Transients
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1809
The Gravitational-Wave Transient Catalog (GWTC) is a collection of candidate gravitational-wave transient signals identified and characterized by the LIGO-Virgo-KAGRA Collaboration…
CLMM: a LSST-DESC Cluster weak Lensing Mass Modeling library for cosmology
M. Aguena, C. Avestruz, C. Combet +22
We present the v1.0 release of CLMM, an open source Python library for the estimation of the weak lensing masses of clusters of galaxies. CLMM is designed as a standalone toolkit o…
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
S. J. Schmidt, A. I. Malz, J. Y. H. Soo +24
Many scientific investigations of photometric galaxy surveys require redshift estimates, whose uncertainty properties are best encapsulated by photometric redshift (photo-z) poster…
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set
The PLAsTiCC team, Tarek Allam, Anita Bahmanyar +23
The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series data in preparation for o…