Pith. sign in

REVIEW 2 cited by

How to measure CMB polarization power spectra without losing information

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv astro-ph/0012120 v3 pith:LCYJX3QR submitted 2000-12-06 astro-ph

classification astro-ph
keywords findpowerscalesspectraapproximationcoveragemethodpatch
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We present a method for measuring CMB polarization power spectra given incomplete sky coverage and test it with simulated examples such as Boomerang 2001 and MAP. By augmenting the quadratic estimator method with an additional step, we find that the E and B power spectra can be effectively disentangled on angular scales substantially smaller than the width of the sky patch in the narrowest direction. We find that the basic quadratic and maximum-likelihood methods display a unneccesary sensitivity to systematic errors when T-E cross-correlation is involved, and show how this problem can be eliminated at negligible cost in increased error bars. We also test numerically the widely used approximation that sample variance scales inversely with sky coverage, and find it to be an excellent approximation on scales substantially smaller than the sky patch.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Simons Observatory: Validation of reconstructed power spectra from simulated filtered maps for the Small Aperture Telescope survey

    astro-ph.CO 2025-02 conditional novelty 5.0 of 10

    This validation study finds that a transfer-function power spectrum estimator recovers unbiased cosmological parameters, including the tensor-to-scalar ratio r, in simulations of the first year of Simons Observatory s...

  2. Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction

    astro-ph.CO 2025-01

Pith tools