Foreground removal with ILC methods for AliCPT-1
Journal of Cosmology and Astroparticle Physics(2023)
摘要
One of the main goals of most future CMB experiments is the precise
measurement of CMB B-mode polarization, whose major obstacle is the Galactic
foregrounds. In this paper, we evaluate the foreground cleaning performance of
the variants of the ILC method on partial sky B-modes and analyze the main
sources of biases on the BB power spectrum. Specially, we compare the NILC, the
cILC (in three domains) and the cMILC methods for AliCPT-1 simulations. We find
that the cILC methods implemented in harmonic space and needlet space are both
competent to clean different models of foregrounds, which bias the
tensor-to-scalar ratio about 0.008 at maximum, and constrain the
tensor-to-scalar ratio to r<0.043 (95\%CL) for the AliCPT-1 configuration. We
also note that the deviation of the estimated noise bias from the actual one
for ILC, dubbed the noise bias error (NBE) in this paper, might make
significant effects on the power spectrum for a small footprint and low
signal-to-noise ratio CMB experiment. We finally obtain its relation with
respect to the noise residual which fits well with the simulated results.
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