191 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ChicagoUS6 papers
- University of Wisconsin–MadisonUS6 papers
- Fermi National Accelerator LaboratoryUS5 papers
- SLAC National Accelerator LaboratoryUS5 papers
- University College LondonGB5 papers
- Stanford UniversityUS4 papers
- Universidad Autónoma de MadridES4 papers
- University of Illinois Urbana-ChampaignUS4 papers
- University of MichiganUS4 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
- National Center for Supercomputing ApplicationsUS3 papers
9 papers
Gender Bias in Generative AI-assisted Recruitment Processes
Martina Ullasci, Marco Rondina, Riccardo Coppola +1
In recent years, generative artificial intelligence (GenAI) systems have assumed increasingly crucial roles in selection processes, personnel recruitment and analysis of candidates…
Stochastic branching models for the telomeres dynamics in a model including telomerase activity
Athanase Benetos, Coralie Fritsch, Emma Horton +3
Telomeres are repetitive sequences of nucleotides at the end of chromosomes, whose evolution over time is intrinsically related to biological ageing. In most cells, with each cell…
A branching model for intergenerational telomere length dynamics
Athanasios Benetos, Olivier Coudray, Anne Gégout-Petit +3
We build and study an individual based model of the telomere length's evolution in a population across multiple generations. This model is a continuous time typed branching process…
DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning
Robert Morgan, B. Nord, K. Bechtol +64
Gravitationally lensed supernovae (LSNe) are important probes of cosmic expansion, but they remain rare and difficult to find. Current cosmic surveys likely contain and 5-10 LSNe i…
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification
Robert Morgan, B. Nord, K. Bechtol +48
Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectro…
SOAR/Goodman Spectroscopic Assessment of Candidate Counterparts of the LIGO-Virgo Event GW190814
Douglas Tucker, Matthew Wiesner, Sahar Allam +140
On 2019 August 14 at 21:10:39 UTC, the LIGO/Virgo Collaboration (LVC) detected a possible neutron star-black hole merger (NSBH), the first ever identified. An extensive search for…
lenstronomy II: A gravitational lensing software ecosystem
Simon Birrer, Anowar J. Shajib, Daniel Gilman +18
lenstronomy is an Astropy-affiliated Python package for gravitational lensing simulations and analyses. lenstronomy was introduced by Birrer and Amara (2018) and is based on the li…
Expediting DECam Multimessenger Counterpart Searches with Convolutional Neural Networks
Adam Shandonay, Robert Morgan, Keith Bechtol +11
Searches for counterparts to multimessenger events with optical imagers use difference imaging to detect new transient sources. However, even with existing artifact detection algor…
deeplenstronomy: A dataset simulation package for strong gravitational lensing
Robert Morgan, Brian Nord, Simon Birrer +2
Automated searches for strong gravitational lensing in optical imaging survey datasets often employ machine learning and deep learning approaches. These techniques require more exa…