From the 1 of 6 linked papers with an AI index.
6 papers
The FRB--Galaxy Overdensity Cross-Correlation Statistic in Dispersion Space
Ryan Raikman, Haochen Wang, Kiyoshi Masui +1
The paper introduces a new angular cross‑power spectrum statistic that correlates FRB dispersion measures with galaxy density, showing it is more informative than previous methods…
Fast radio burst dispersion is an unbiased tracer of matter on large scales
Shion Andrew, Haochen Wang, Kiyoshi Masui +6
The dispersion of fast radio bursts (FRBs) measures the column density of free electrons, tracing the diffuse ionized gas that contains more than of all baryons. On linear s…
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
Ethan Marx, William Benoit, Alec Gunny +12
The promise of multi-messenger astronomy relies on the rapid detection of gravitational waves at very low latencies ((1\,s)) in order to maximize the amount of time av…
Measurement of the Dispersion$\unicode{x2013}$Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog
Haochen Wang, Kiyoshi Masui, Shion Andrew +18
The dispersion of extragalactic fast radio bursts (FRBs) can serve as a powerful probe of the diffuse plasma between and surrounding galaxies, which contains most of the Universe's…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run
Ryan Raikman, Eric A. Moreno, Katya Govorkova +13
This paper presents the results of a Neural Network (NN)-based search for short-duration gravitational-wave transients in data from the third observing run of LIGO, Virgo, and KAGR…