RR
Ryan Raikman
gr-qcastro-ph.IMastro-ph.COastro-ph.HEastro-ph.GAcs.LGhep-ex
On Valency
published · living versionsW_npdhaea3·v1 · currentpublished
Mapping large-scale structure without galaxy formation - combining fast radio bursts with CMB lensing
with James M. Sullivan, Kiyoshi Masui, Shion Andrew, Haochen Wang
1 version
Preprints & journals
12 papers in the corpus · 2023–2026Toward Precision Kinetic Sunyaev-Zel'dovich Cosmology---1. The Matter - Momentum Bispectrum at One-Loop Order2609.15750v1 · Ryan Raikman, James M. Sullivan, Mikhail M. Ivanov2026 · 0 citationsarXiv
The FRB--Galaxy Overdensity Cross-Correlation Statistic in Dispersion Space2607.26135v1 · Ryan Raikman, Haochen Wang, Kiyoshi Masui et al.2026 · 0 citationsarXiv
Measurement of the Dispersion-Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog.42573322 · Wang, Haochen, Masui, Kiyoshi, Andrew, Shion et al.2026 · 6 citationsPhysical review letters. 2026;137(4):041001
Fast radio burst dispersion is an unbiased tracer of matter on large scales2604.25828v1 · Shion Andrew, Haochen Wang, Kiyoshi Masui et al.2026 · 0 citationsarXiv
Measurement of the Dispersion$\unicode{x2013}$Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog2506.08932v1 · Haochen Wang, Kiyoshi Masui, Shion Andrew et al.2025 · 2 citationsarXiv
A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run2412.19883v1 · Ryan Raikman, Eric A. Moreno, Katya Govorkova et al.2024 · 0 citationsarXiv
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware2407.19048v1 · Deep Chatterjee, Ethan Marx, William Benoit et al.2024 · 15 citationsarXiv
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences2403.18661v2 · Ethan Marx, William Benoit, Alec Gunny et al.2024 · 4 citationsarXiv
Detecting the Undetected: Overcoming Biases in Gravitational-Wave Population Studies2310.10736v1 · Ryan Raikman, Simone Bavera, Tassos Fragos2023 · 1 citationarXiv
GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders2309.11537v1 · Ryan Raikman, Eric A. Moreno, Ekaterina Govorkova et al.2023 · 13 citationsarXiv
Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors2306.11366v1 · Muhammed Saleem, Alec Gunny, Chia-Jui Chou et al.2023 · 4 citationsarXiv
Applications of Deep Learning to physics workflows2306.08106v1 · Manan Agarwal, Jay Alameda, Jeroen Audenaert et al.2023 · 1 citationarXiv
Career total: 19 works. 12 are in this corpus.
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