Iterative destriping and photometric calibration for Planck-HFI, polarized, multi-detector map-making

Abstract

We present an iterative scheme designed to recover calibrated I, Q, and U maps from Planck-HFI data using the orbital dipole due to the satellite motion with respect to the Solar System frame. It combines a map reconstruction, based on a destriping technique, juxtaposed with an absolute calibration algorithm. We evaluate systematic and statistical uncertainties incurred during both these steps with the help of realistic, Planck-like simulations containing CMB, foreground components and instrumental noise, and assess the accuracy of the sky map reconstruction by considering the maps of the residuals and their spectra. In particular, we discuss destriping residuals for polarization sensitive detectors similar to those of Planck-HFI under different noise hypotheses and show that these residuals are negligible (for intensity maps) or smaller than the white noise level (for Q and U Stokes maps), for l > 50. We also demonstrate that the combined level of residuals of this scheme remains comparable to those of the destriping-only case except at very low l where residuals from the calibration appear. For all the considered noise hypotheses, the relative calibration precision is on the order of a few 10e-4, with a systematic bias of the same order of magnitude.

18 pages, 21 figures. Match published version

References in corpus (8)

• Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Data Processing, Sky Maps, and Basic Results
• Component separation methods for the Planck mission
• Planck early results: first assessment of the High Frequency Instrument in-flight performance
• SANEPIC: A Map-Making Method for Timestream Data From Large Arrays
• Making sky maps from Planck data
• Making Maps from Planck LFI 30GHz Data
• Effects of Destriping Errors on CMB Polarisation Power Spectra and and Pixel Noise Covariances
• Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Cited by in corpus (16)

• Planck 2013 results. I. Overview of products and scientific results
• Planck intermediate results. XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth
• Planck 2015 results. VIII. High Frequency Instrument data processing: Calibration and maps
• Planck early results. VI. The High Frequency Instrument data processing
• Planck 2013 results. VIII. HFI photometric calibration and mapmaking
• Planck 2013 results. VI. High Frequency Instrument data processing
• Exploring Cosmic Origins with CORE: Survey requirements and mission design
• Planck 2013 results. VII. HFI time response and beams
• Planck 2013 results. II. Low Frequency Instrument data processing
• Inference of the optical depth to reionization from low multipole temperature and polarisation Planck data
• Constraints on the CMB temperature redshift dependence from SZ and distance measurements
• QuickPol: Fast calculation of effective beam matrices for CMB polarization
• Exploring cosmic origins with CORE: mitigation of systematic effects
• Making maps of Cosmic Microwave Background polarization for B-mode studies: the POLARBEAR example
• Optimal cosmic microwave background map-making in the presence of cross-correlated noise
• Improving Planck calibration by including frequency-dependent relativistic corrections