MAXIMUM LIKELIHOOD FOREGROUND CLEANING FOR COSMIC MICROWAVE BACKGROUND POLARIMETERS IN THE PRESENCE OF SYSTEMATIC EFFECTS

C. Bao, C. Baccigalupi, B. Gold, S. Hanany, A. Jaffe, R. Stompor

Research output: Contribution to journalArticlepeer-review

Abstract

We extend a general maximum likelihood foreground estimation for cosmic microwave background (CMB) polarization data to include estimation of instrumental systematic effects. We focus on two particular effects: frequency band measurement uncertainty and instrumentally induced frequency dependent polarization rotation. We assess the bias induced on the estimation of the B-mode polarization signal by these two systematic effects in the presence of instrumental noise and uncertainties in the polarization and spectral index of Galactic dust. Degeneracies between uncertainties in the band and polarization angle calibration measurements and in the dust spectral index and polarization increase the uncertainty in the extracted CMB B-mode power, and may give rise to a biased estimate. We provide a quantitative assessment of the potential bias and increased uncertainty in an example experimental configuration. For example, we find that with 10% polarized dust, a tensor to scalar ratio of r = 0.05, and the instrumental configuration of the E and B experiment balloon payload, the estimated CMB B-mode power spectrum is recovered without bias when the frequency band measurement has 5% uncertainty or less, and the polarization angle calibration has an uncertainty of up to 4°.

Original languageEnglish (US)
Article number12
JournalAstrophysical Journal
Volume819
Issue number1
DOIs
StatePublished - Mar 1 2016

Bibliographical note

Funding Information:
This work received major support through an NSF grant NSF ANT-094513. We are thankful for the computing resources provided by the Minnesota Supercomputing Institute. EBEX is supported through NASA grants NNX08AG40G and NNX07AP36H. C. Bao acknowledges the support from the Doctoral Dissertation Fellowship from the University of Minnesota. C. Baccigalupi acknowledges the support from the INDARK INFN Grant.

Keywords

  • cosmic background radiation
  • instrumentation: polarimeters
  • methods: data analysis

Fingerprint Dive into the research topics of 'MAXIMUM LIKELIHOOD FOREGROUND CLEANING FOR COSMIC MICROWAVE BACKGROUND POLARIMETERS IN THE PRESENCE OF SYSTEMATIC EFFECTS'. Together they form a unique fingerprint.

Cite this