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 August 2016 to May 2022. We demonstrate how well the CLASS survey strategy, with rapid (∼10Hz) front-end modulation, recovers the large-scale Galactic polarization signal from the ground: the mapping transfer function recovers ∼75\% of EE, BB, and VV power at ℓ=20 and ∼45\% 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 110μKarcmin and correlated noise component rising at low-ℓ as ℓ−2.2. The transfer-function-corrected low-ℓ component is comparable to the white noise at the angular knee frequencies of ℓ≈16 (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 sub-percent bias for the ΛCDMEE 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=0.01BB power spectrum. Improvements to the instrument calibration and the data pipeline will decrease this bias.
@article{arxiv.2305.01045,
title = {CLASS Data Pipeline and Maps for 40 GHz Observations through 2022},
author = {Yunyang Li and Joseph Eimer and Keisuke Osumi and John Appel and Michael Brewer and Aamir Ali and Charles Bennett and Sarah Marie Bruno and Ricardo Bustos and David Chuss and Joseph Cleary and Jullianna Couto and Sumit Dahal and Rahul Datta and Kevin Denis and Rolando Dunner and Francisco Raul Espinoza Inostroza and Thomas Essinger-Hileman and Pedro Fluxa and Kathleen Harrington and Jeffrey Iuliano and John Karakla and Tobias Marriage and Nathan Miller and Sasha Novack and Carolina Núñez and Matthew Petroff and Rodrigo Reeves and Karwan Rostem and Rui Shi and Deniz Valle and Duncan Watts and J. Weiland and Edward Wollack and Zhilei Xu and Lingzhen Zeng},
journal= {arXiv preprint arXiv:2305.01045},
year = {2023}
}