PreprintCC BY 4.0arXiv
Map-based asymmetric beam treatment: application of real-space beam patterns in CMB data analysis
Abstract
Real telescope beams are asymmetric, breaking the simple Bℓ factorisation in harmonic space and coupling modes across ℓ and m. We develop a map-domain treatment in which beam convolution is a local, scan-dependent operation applied directly to the time-ordered data (TOD), accommodating the full beam shape and giving a direct handle on intensity-to-polarisation (I → P) leakage. A noiseless validation against spherical-harmonic convolution reproduces the input temperature and B-mode power spectra up to ℓ ≃ 1000, well beyond the range of primordial B-mode science. We outline how the operation maps onto a sparse linear BeamOperator for modular map-making.
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BibTeX
@misc{basyrov2026mapbased,
title = {{Map-based asymmetric beam treatment: application of real-space beam patterns in CMB data analysis}},
author = {Artem Basyrov},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.03840},
eprint = {2610.03840},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.03840},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Map-based asymmetric beam treatment: application of real-space beam patterns in CMB data analysis
AU - Artem Basyrov
PY - 2026
DA - 2026/10/02
PB - arXiv
DO - 10.48550/arxiv.2610.03840
UR - https://arxiv.org/abs/2610.03840
AB - Real telescope beams are asymmetric, breaking the simple B_ℓ factorisation in harmonic space and coupling modes across ℓ and m. We develop a map-domain treatment in which beam convolution is a local, scan-dependent operation applied directly to the time-ordered data (TOD), accommodating the full beam shape and giving a direct handle on intensity-to-polarisation (I → P) leakage. A noiseless validation against spherical-harmonic convolution reproduces the input temperature and B-mode power spectra up to ℓ ≃ 1000, well beyond the range of primordial B-mode science. We outline how the operation maps onto a sparse linear BeamOperator for modular map-making.
ER -