110 citations · 138 across the 8 of their papers we have counts for
8 papers
Fast and Flexible Inference Framework for Continuum Reverberation Mapping using Simulation-based Inference with Deep Learning
Jennifer I-Hsiu Li, Sean D. Johnson, Camille Avestruz +5
Continuum reverberation mapping (CRM) of active galactic nuclei (AGN) monitors multiwavelength variability signatures to constrain accretion disk structure and supermassive black h…
OLIMPO: a Balloon-Borne SZE Imager to Probe ICM Dynamics and the WHIM
Jack Sayers, Camille Avestruz, Ritoban Basu Thakur +20
OLIMPO is a proposed Antarctic balloon-borne Sunyaev-Zel'dovich effect (SZE) imager to study gas dynamics associated with structure formation along with the properties of the warm-…
Merger Response of Halo Anisotropy Properties
Kuan Wang, Philip Mansfield, Dhayaa Anbajagane +1
Anisotropy properties -- halo spin, shape, position offset, velocity offset, and orientation -- are an important family of dark matter halo properties that indicate the level of di…
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images
Derek Hansen, Ismael Mendoza, Runjing Liu +4
We present a new probabilistic method for detecting, deblending, and cataloging astronomical sources called the Bayesian Light Source Separator (BLISS). BLISS is based on deep gene…
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…