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

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arxiv 1911.10980 v2 pith:CJION7DZ submitted 2019-11-25 astro-ph.CO

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

Mario Aguilar Fa\'undez , Kam Arnold , Carlo Baccigalupi , Darcy Barron , Dominic Beck , Shawn Beckman , Federico Bianchini , Julien Carron
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Kolen Cheung Yuji Chinone Hamza El Bouhargani Tucker Elleflot Josquin Errard Giulio Fabbian Chang Feng Takuro Fujino Neil Goeckner-Wald Takaho Hamada Masaya Hasegawa Masashi Hazumi Charles A. Hill Haruaki Hirose Oliver Jeong Nobuhiko Katayama Brian Keating Shuhei Kikuchi Akito Kusaka Adrian T. Lee David Leon Eric Linder Lindsay Ng Lowry Frederick Matsuda Tomotake Matsumura Yuto Minami Martin Navaroli Haruki Nishino Anh Thi Phuong Pham Davide Poletti Giuseppe Puglisi Christian L Reichardt Yuuko Segawa Blake D Sherwin Maximiliano Silva-Feaver Praween Siritanasak Radek Stompor Aritoki Suzuki Osamu Tajima Sayuri Takatori Daiki Tanabe Grant P. Teply Calvin Tsai
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keywords lensingdatameasurementpolarizationspectrumsystematicbackgroundcosmic
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We present a measurement of the gravitational lensing deflection power spectrum reconstructed with two seasons cosmic microwave background polarization data from the POLARBEAR experiment. Observations were taken at 150 GHz from 2012 to 2014 which survey three patches of sky totaling 30 square degrees. We test the consistency of the lensing spectrum with a Cold Dark Matter (CDM) cosmology and reject the no-lensing hypothesis at a confidence of 10.9 sigma including statistical and systematic uncertainties. We observe a value of A_L = 1.33 +/- 0.32 (statistical) +/- 0.02 (systematic) +/- 0.07 (foreground) using all polarization lensing estimators, which corresponds to a 24% accurate measurement of the lensing amplitude. Compared to the analysis of the first year data, we have improved the breadth of both the suite of null tests and the error terms included in the estimation of systematic contamination.

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