output
19922026
most citedMeasurements of Omega and Lambda from 42 High-Redshift Supernovae

18.1k citations

Showing 2019 · astro-ph.COShow all

8 papers · 2 filters

astro-ph.CO2019★ 30 cited

Measurement of the Cosmic Microwave Background Polarization Lensing Power Spectrum from Two Years of POLARBEAR Data

Mario Aguilar Faúndez, Kam Arnold, Carlo Baccigalupi +48

We present a measurement of the gravitational lensing deflection power spectrum reconstructed with two seasons cosmic microwave background polarization data from the POLARBEAR expe…

astro-ph.CO2019★ 73 cited

A Measurement of the Degree Scale CMB B-mode Angular Power Spectrum with POLARBEAR

S. Adachi, M. A. O. Aguilar Faúndez, K. Arnold +69

We present a measurement of the -mode polarization power spectrum of the cosmic microwave background (CMB) using taken from July 2014 to December 2016 with the POLARBEAR experim…

astro-ph.CO2019★ 42 cited

Internal delensing of Cosmic Microwave Background polarization B-modes with the POLARBEAR experiment

S. Adachi, M. A. O. Aguilar Faúndez, Y. Akiba +51

Using only cosmic microwave background polarization data from the POLARBEAR experiment, we measure -mode polarization delensing on subdegree scales at more than significanc…

astro-ph.CO2019★ 1.1k cited

Planck 2018 results. V. CMB power spectra and likelihoods

Planck Collaboration, N. Aghanim, Y. Akrami +165

This paper describes the 2018 Planck CMB likelihoods, following a hybrid approach similar to the 2015 one, with different approximations at low and high multipoles, and implementin…

astro-ph.CO2019★ 495 cited

Planck 2018 results. VII. Isotropy and Statistics of the CMB

Planck Collaboration, Y. Akrami, M. Ashdown +147

Analysis of the Planck 2018 data set indicates that the statistical properties of the cosmic microwave background (CMB) temperature anisotropies are in excellent agreement with pre…

astro-ph.CO2019★ 20 cited

Multiwavelength cluster mass estimates and machine learning

J. D. Cohn, Nicholas Battaglia

One emerging application of machine learning methods is the inference of galaxy cluster masses. In this note, machine learning is used to directly combine five simulated multiwavel…

astro-ph.CO2019★ 25 cited

Evidence for the Cross-correlation between Cosmic Microwave Background Polarization Lensing from POLARBEAR and Cosmic Shear from Subaru Hyper Suprime-Cam

Toshiya Namikawa, Yuji Chinone, Hironao Miyatake +72

We present the first measurement of cross-correlation between the lensing potential, reconstructed from cosmic microwave background (CMB) {\it polarization} data, and the cosmic sh…

astro-ph.CO2019★ 8 cited

Cross-correlation of POLARBEAR CMB Polarization Lensing with High- Sub-mm Herschel-ATLAS galaxies

M. Aguilar Faundez, K. Arnold, C. Baccigalupi +45

We report a 4.8 measurement of the cross-correlation signal between the cosmic microwave background (CMB) lensing convergence reconstructed from measurements of the CMB polariza…