Planck 2015 results. III. LFI systematic uncertainties
Planck Collaboration: P. A. R. Ade, J. Aumont, C. Baccigalupi, A. J., Banday, R. B. Barreiro, N. Bartolo, S. Basak, P. Battaglia, E. Battaner, K., Benabed, A. Benoit-L\'evy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, A., Bonaldi, L. Bonavera, J. R. Bond, J. Borrill, C. Burigana

TL;DR
This paper evaluates the systematic uncertainties of the Planck 2015 Low Frequency Instrument data, demonstrating their minimal impact on cosmological results and confirming data robustness, especially for polarization measurements.
Contribution
It provides a comprehensive analysis of systematic effects in LFI data using simulations and null-map analysis, establishing their limited influence on cosmological parameters.
Findings
Systematic effects are below CMB temperature power spectrum at large scales.
Polarization uncertainties are dominated by calibration, affecting multipoles 10-20.
Residual uncertainties are smaller than CMB signals after component separation.
Abstract
We present the current accounting of systematic effect uncertainties for the Low Frequency Instrument (LFI) that are relevant to the 2015 release of the Planck cosmological results, showing the robustness and consistency of our data set, especially for polarization analysis. We use two complementary approaches: (i) simulations based on measured data and physical models of the known systematic effects; and (ii) analysis of difference maps containing the same sky signal ("null-maps"). The LFI temperature data are limited by instrumental noise. At large angular scales the systematic effects are below the cosmic microwave background (CMB) temperature power spectrum by several orders of magnitude. In polarization the systematic uncertainties are dominated by calibration uncertainties and compete with the CMB -modes in the multipole range 10--20. Based on our model of all known systematic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
