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19932026
most citedA Line of Sight Approach to Cosmic Microwave Background Anisotropies

2k citations · 44.2k across the 241 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

astro-ph.CO2022★ 17 cited

RSD measurements from BOSS galaxy power spectrum using the halo perturbation theory model

Byeonghee Yu, Uros Seljak, Yin Li +1

We present growth of structure constraints from the cosmological analysis of the power spectrum multipoles of SDSS-III BOSS DR12 galaxies. We use the galaxy power spectrum model of…

astro-ph.IM2022

The MegaMapper: A Stage-5 Spectroscopic Instrument Concept for the Study of Inflation and Dark Energy

David J. Schlegel, Juna A. Kollmeier, Greg Aldering +86

In this white paper, we present the MegaMapper concept. The MegaMapper is a proposed ground-based experiment to measure Inflation parameters and Dark Energy from galaxy redshifts a…

astro-ph.CO2022

A Spectroscopic Road Map for Cosmic Frontier: DESI, DESI-II, Stage-5

David J. Schlegel, Simone Ferraro, Greg Aldering +62

In this white paper, we present an experimental road map for spectroscopic experiments beyond DESI. DESI will be a transformative cosmological survey in the 2020s, mapping 40 milli…

astro-ph.CO2022★ 13 cited

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series

George Stein, Uros Seljak, Vanessa Bohm +37

We construct a physically-parameterized probabilistic autoencoder (PAE) to learn the intrinsic diversity of type Ia supernovae (SNe Ia) from a sparse set of spectral time series. T…

physics.data-an2022★ 6 cited

Statistical significance testing for mixed priors: a combined Bayesian and frequentist analysis

Jakob Robnik, Uroš Seljak

In many hypothesis testing applications, we have mixed priors, with well-motivated informative priors for some parameters but not for others. The Bayesian methodology uses the Baye…

astro-ph.IM2022★ 3 cited

pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Minas Karamanis, David Nabergoj, Florian Beutler +2

pocoMC is a Python package for accelerated Bayesian inference in astronomy and cosmology. The code is designed to sample efficiently from posterior distributions with non-trivial g…