Abstract

In a companion paper we have reported a $>5\sigma$ detection of degree scale $B $-mode polarization at 150 GHz by the BICEP2 experiment. Here we provide a detailed study of potential instrumental systematic contamination to that measurement. We focus extensively on spurious polarization that can potentially arise from beam imperfections. We present a heuristic classification of beam imperfections according to their symmetries and uniformities, and discuss how resulting contamination adds or cancels in maps that combine observations made at multiple orientations of the telescope about its boresight axis. We introduce a technique, which we call "deprojection", for filtering the leading order beam-induced contamination from time ordered data, and show that it removes power from BICEP2's $BB$ spectrum consistent with predictions using high signal-to-noise beam shape measurements. We detail the simulation pipeline that we use to directly simulate instrumental systematics and the calibration data used as input to that pipeline. Finally, we present the constraints on $BB$ contamination from individual sources of potential systematics. We find that systematics contribute $BB$ power that is a factor $\sim10\times$ below BICEP2's 3-year statistical uncertainty, and negligible compared to the observed $BB$ signal. The contribution to the best-fit tensor/scalar ratio is at a level equivalent to $r=(3-6)\times10^{-3}$.

Highlights

  • Since the the discovery of the 2.7 K cosmic microwave background (CMB) by Penzias & Wilson (1965), rapid progress in instrumental sensitivity has permitted the detection of progressively subtler effects

  • BICEP2 employs a combination of high magnetic permeability and superconducting shielding to block external magnetic fields, and its scan strategy allows for nearly perfect filtering (“ground subtraction”) of pickup that is constant in time and a function of telescope pointing direction, as is expected of most magnetic fields

  • We have extended our pipeline to optionally incorporate the effects of various instrumental systematics into these simulated data, which allows us to model their effects on the final power spectra and r estimate

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Summary

INTRODUCTION

Since the the discovery of the 2.7 K cosmic microwave background (CMB) by Penzias & Wilson (1965), rapid progress in instrumental sensitivity has permitted the detection of progressively subtler effects. The degree scale primary CMB temperature anisotropies are polarized at the ∼1% level (Kovac et al 2002), with fluctuations of the order of 1 μK. This polarization, which arises as a natural consequence of the same acoustic oscillations that source the temperature anisotropies (Bond & Efstathiou 1984), is curl-free (E-mode) and its angular power spectrum is uniquely predicted given the temperature (T) spectrum with the addition of no additional cosmological parameters. Effects that convert CMB temperature anisotropy into a false polarization signal are of particular importance This is especially true for B-mode measurements because both the temperature and the expected inflationary Bmode spectra peak at similar angular scales. In a series of four appendices we provide the formal definition of our elliptical Gaussian beam parametrization (Appendix A), an expanded discussion of beam shape mismatch (Appendix B), the mathematical and practical details of deprojection (Appendix C), and a discussion of the uncertainties in the beam mismatch simulations (Appendix D)

INSTRUMENT DESIGN AND OBSERVATIONAL STRATEGY
Instrument Design
Observational Strategy and Data Cuts
Natural mitigation
Time-domain filtering
Deprojection
Jackknife maps
Time-domain simulations
NOISE ESTIMATION
BEAM SYSTEMATICS IN MAPS
Incoherence Across the Focal Plane
Symmetry
Monopole Symmetric difference Beam
Dipole Symmetric difference Beam
Quadrupole Symmetric difference Beam
Summary
DEPROJECTION TECHNIQUE
Beam Parametrization
Algorithm
SIMULATION PIPELINE
Input Maps and Interpolation
Elliptical Gaussian Beam Convolution
Arbitrary Beam Shape Convolution
JACKKNIFE TESTS
DEPROJECTION PERFORMANCE
Template Map Non-idealities
Consistency with Beam Maps
10. SYSTEMATICS ERROR BUDGET
10.1. Undeprojected Residual Beam Mismatch
10.1.1. Undeprojected Residual in Signal Maps
10.1.2. Undeprojected Residual in Jackknife Maps
10.1.3. Undeprojected Residual Correction
10.2. Further consideration of Gain mismatch
10.3. Gain Variation
10.4. Crosstalk
10.5. Ghost Beams
10.6.2. Random Polarization Angle Error
10.8. Thermal Instability
10.9. Detector Transfer Functions
10.10. Magnetic Pickup
10.11. Electromagnetic Interference
11. CONCLUSIONS
Differential Pointing
Beamwidth
Ellipticity
Differential Gain
Differential Beamwidth
Differential Ellipticity
Practical Implementation
Full Text
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