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Title: MODELING ATMOSPHERIC EMISSION FOR CMB GROUND-BASED OBSERVATIONS

Journal Article · · Astrophysical Journal
;  [1];  [2]; ;  [3]; ; ; ;  [4]; ;  [5];  [6];  [7];  [8];  [9]; ;  [10]; ;  [11];  [12] more »; « less
  1. Space Sciences Laboratory, University of California, Berkeley, CA 94720 (United States)
  2. School of Physics and Astronomy, Cardiff University, Cardiff CF10 3XQ (United Kingdom)
  3. High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801 (Japan)
  4. Department of Physics, University of California, San Diego, CA 92093-0424 (United States)
  5. International School for Advanced Studies (SISSA), Trieste I-34014 (Italy)
  6. Department of Astronomy, Pontifica Universidad Catolica de Chile (Chile)
  7. Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, B3H 4R2 (Canada)
  8. Department of Physics, University of California, Berkeley, CA 94720 (United States)
  9. AstroParticule et Cosmologie, Univ Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, Sorbonne Paris Cité (France)
  10. Physics Department, McGill University, Montreal, QC H3A 0G4 (Canada)
  11. Department of Physics, Imperial College London, London SW7 2AZ (United Kingdom)
  12. Department of Physics and Astronomy, University of California, Irvine (United States)

Atmosphere is one of the most important noise sources for ground-based cosmic microwave background (CMB) experiments. By increasing optical loading on the detectors, it amplifies their effective noise, while its fluctuations introduce spatial and temporal correlations between detected signals. We present a physically motivated 3D-model of the atmosphere total intensity emission in the millimeter and sub-millimeter wavelengths. We derive a new analytical estimate for the correlation between detectors time-ordered data as a function of the instrument and survey design, as well as several atmospheric parameters such as wind, relative humidity, temperature and turbulence characteristics. Using an original numerical computation, we examine the effect of each physical parameter on the correlations in the time series of a given experiment. We then use a parametric-likelihood approach to validate the modeling and estimate atmosphere parameters from the polarbear-i project first season data set. We derive a new 1.0% upper limit on the linear polarization fraction of atmospheric emission. We also compare our results to previous studies and weather station measurements. The proposed model can be used for realistic simulations of future ground-based CMB observations.

OSTI ID:
22525606
Journal Information:
Astrophysical Journal, Vol. 809, Issue 1; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 0004-637X
Country of Publication:
United States
Language:
English