Three-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Beam Profiles, Data Processing, Radiometer Characterization and Systematic Error Limits
N. Jarosik, C. Barnes, M. R. Greason, R. S. Hill, M. R. Nolta, N. Odegard, J. L. Weiland, R. Bean, C. L. Bennett, O. Doré, M. Halpern, G. Hinshaw, A. Kogut, E. Komatsu, M. Limon, S. S. Meyer, L. Page, D. N. Spergel, G. S. Tucker, E. Wollack, E. L. Wright
TL;DR
This paper presents the three-year Wilkinson Microwave Anisotropy Probe (WMAP) data release, detailing improvements in instrument modeling, data processing, and systematic error control. Key contributions include updated radiometer gain models, refined beam and window-function determinations using six seasons of Jupiter data, and a maximum-likelihood framework for producing Stokes I, Q and U sky maps along with the inverse pixel-pixel noise matrix. The work also explains sidelobe corrections, polarization handling, and an end-to-end validation via spin-synchronous checks and year-to-year null tests, demonstrating high reproducibility and controlled systematics. Collectively, these advancements enable more precise CMB analyses and tighter constraints on cosmological parameters from the 3-year data set.
Abstract
The WMAP satellite has completed 3 years of observations of the cosmic microwave background radiation. The 3-year data products include several sets of full sky maps of the Stokes I, Q and U parameters in 5 frequency bands, spanning 23 to 94 GHz, and supporting items, such as beam window functions and noise covariance matrices. The processing used to produce the current sky maps and supporting products represents a significant advancement over the first year analysis, and is described herein. Improvements to the pointing reconstruction, radiometer gain modeling, window function determination and radiometer spectral noise parametrization are presented. A detailed description of the updated data processing that produces maximum likelihood sky map estimates is presented, along with the methods used to produce reduced resolution maps and corresponding noise covariance matrices. Finally two methods used to evaluate the noise of the full resolution sky maps are presented along with several representative year-to-year null tests, demonstrating that sky maps produced from data from different observational epochs are consistent.
