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CLASS Data Pipeline and Maps for 40 GHz Observations through 2022
Yunyang Li
José R. Eimer
Keisuke Osumi
John W. Appel
Michael K. Brewer
Amir Ali
Charles L. Bennett
Sarah Marie Bruno
David T. Chuss
Joseph Cleary
Jullianna Denes Couto
Sumit Dahal
Rahul Datta
Kevin L. Denis
Rolando Dünner
Francisco Espinoza
Thomas Essinger-Hileman
Pedro Fluxá Rojas
Kathleen Harrington
Jeffrey Iuliano
John Karakla
Tobias A. Marriage
Nathan J. Miller
Sasha Novack
Carolina Núñez
Matthew A. Petroff
Rodrigo A. Reeves
Karwan Rostem
Rui Shi (??)
Deniz A. N. Valle
Duncan J. Watts
Janet L. Weiland
Edward J. Wollack
Zhilei Xu (???)
Lingzhen Zeng .
The Astrophysical Journal
2023
The Cosmology Large Angular Scale Surveyor (CLASS) is a telescope array that observes the cosmic microwave background over 75% of the sky from the Atacama Desert, Chile, at frequency bands centered near 40, 90, 150, and 220 GHz. This paper describes the CLASS data pipeline and maps for 40 GHz observations conducted from 2016 August to 2022 May. We demonstrate how well the CLASS survey strategy, with rapid (∼10 Hz) front-end modulation, recovers the large-scale Galactic polarization signal from the ground: the mapping transfer function recovers ∼67% (85%) of EE and BB (VV ) power at ℓ = 20 and ∼35% (47%) at ℓ = 10. We present linear and circular polarization maps over 75% of the sky. Simulations based on the data imply the maps have a white noise level of m110 K arcmin and correlated noise component rising at low-ℓ as ℓ−2.4 . The transfer-function-corrected low-ℓ component is comparable to the white noise at the angular knee frequencies of ℓ ≈ 18 (linear polarization) and ℓ ≈ 12 (circular polarization). Finally, we present simulations of the level at which expected sources of systematic error bias the measurements, finding subpercent bias for the Λ cold dark matter EE power spectra. Bias from E-to-B leakage due to the data reduction pipeline and polarization angle uncertainty approaches the expected level for an r = 0.01 BB power spectrum. Improvements to the instrument calibration and the data pipeline will decrease this bias.
Astronomy data analysis (1858)
Cosmic microwave background radiation (322)
Observational cosmology (1146)
Early universe (435)
Ciencias físicas