1. CLASS Data Pipeline and Maps for 40~GHz Observations through 2022
- Author
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Li, Yunyang, Eimer, Joseph, Osumi, Keisuke, Appel, John, Brewer, Michael, Ali, Aamir, Bennett, Charles, Bruno, Sarah Marie, Bustos, Ricardo, Chuss, David, Cleary, Joseph, Couto, Jullianna, Dahal, Sumit, Datta, Rahul, Denis, Kevin, Dunner, Rolando, Inostroza, Francisco Raul Espinoza, Essinger-Hileman, Thomas, Fluxa, Pedro, Harrington, Kathleen, Iuliano, Jeffrey, Karakla, John, Marriage, Tobias, Miller, Nathan, Novack, Sasha, Núñez, Carolina, Petroff, Matthew, Reeves, Rodrigo, Rostem, Karwan, Shi, Rui, Valle, Deniz, Watts, Duncan, Weiland, J., Wollack, Edward, Xu, Zhilei, and Zeng, Lingzhen
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,FOS: Physical sciences ,Astrophysics - Instrumentation and Methods for Astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
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 ($\sim10\,\mathrm{Hz}$) front-end modulation, recovers the large-scale Galactic polarization signal from the ground: the mapping transfer function recovers $\sim75$\% of $EE$, $BB$, and $VV$ power at $\ell=20$ and $\sim45$\% at $\ell=10$. 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 $110\,\mathrm{\mu K\, arcmin}$ and correlated noise component rising at low-$\ell$ as $\ell^{-2.2}$. The transfer-function-corrected low-$\ell$ component is comparable to the white noise at the angular knee frequencies of $\ell\approx16$ (linear polarization) and $\ell\approx12$ (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 $\Lambda\mathrm{CDM}$ $EE$ 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., Comment: 29 pages, 17 figures; submitted to ApJ
- Published
- 2023