Validating a main beam treatment of parametric, pixel-based component separation in the context of CMB observations Article Swipe
A. Rizzieri
,
Josquin Errard
,
R. Stompor
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1103/physrevd.111.043512
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1103/physrevd.111.043512
We implement a simple, main beam correction in the maximum-likelihood, parametric component separation approach, which allows on accounting for different beamwidths of input maps at different frequencies without any preprocessing. We validate the approach on full-sky and cut-sky simulations and discuss the importance and impact of the assumptions and simplifications. We find that, in the cases when the underlying sky model is indeed parametric, the method successfully recovers component spectral parameters and component maps at the pre-defined resolution. The improvement on the precision of the estimated spectral parameters is found to be minor due to the redness of the foreground angular spectra, however the method is potentially more accurate, in particular if the foreground properties display strong, spatial variability, as it does not assume commutation of the beam smoothing and mixing matrix operators. The method permits a reconstruction of the CMB map with a resolution significantly superior to that of the lowest resolution map used in the analysis and with the nearly optimal noise level, facilitating exploitation of the cosmological information contained on angular scales, which would be otherwise inaccessible. The method preserves all the advantages of a pixel-domain implementation of the parametric approach, and, as it deals with the beams in the harmonic domain, it can also straightforwardly account for spatially stationary map-domain noise correlations.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.12944
- https://arxiv.org/pdf/2409.12944
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4402857184Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1103/physrevd.111.043512Digital Object Identifier
- Title
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Validating a main beam treatment of parametric, pixel-based component separation in the context of CMB observationsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-19Full publication date if available
- Authors
-
A. Rizzieri, Josquin Errard, R. StomporList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.12944Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2409.12944Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2409.12944Direct OA link when available
- Concepts
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Separation (statistics), Component (thermodynamics), Parametric statistics, Pixel, Beam (structure), Computer science, Mathematics, Algorithm, Artificial intelligence, Physics, Optics, Statistics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.that | 148 |
| abstract_inverted_index.used | 154 |
| abstract_inverted_index.when | 56 |
| abstract_inverted_index.with | 142, 159, 198 |
| abstract_inverted_index.beams | 200 |
| abstract_inverted_index.cases | 55 |
| abstract_inverted_index.deals | 197 |
| abstract_inverted_index.found | 89 |
| abstract_inverted_index.input | 22 |
| abstract_inverted_index.minor | 92 |
| abstract_inverted_index.model | 60 |
| abstract_inverted_index.noise | 163, 214 |
| abstract_inverted_index.that, | 52 |
| abstract_inverted_index.which | 14, 175 |
| abstract_inverted_index.would | 176 |
| abstract_inverted_index.allows | 15 |
| abstract_inverted_index.assume | 123 |
| abstract_inverted_index.impact | 44 |
| abstract_inverted_index.indeed | 62 |
| abstract_inverted_index.level, | 164 |
| abstract_inverted_index.lowest | 151 |
| abstract_inverted_index.matrix | 131 |
| abstract_inverted_index.method | 65, 104, 134, 181 |
| abstract_inverted_index.mixing | 130 |
| abstract_inverted_index.nearly | 161 |
| abstract_inverted_index.account | 209 |
| abstract_inverted_index.angular | 100, 173 |
| abstract_inverted_index.cut-sky | 37 |
| abstract_inverted_index.discuss | 40 |
| abstract_inverted_index.display | 115 |
| abstract_inverted_index.domain, | 204 |
| abstract_inverted_index.however | 102 |
| abstract_inverted_index.optimal | 162 |
| abstract_inverted_index.permits | 135 |
| abstract_inverted_index.redness | 96 |
| abstract_inverted_index.scales, | 174 |
| abstract_inverted_index.simple, | 3 |
| abstract_inverted_index.spatial | 117 |
| abstract_inverted_index.strong, | 116 |
| abstract_inverted_index.without | 27 |
| abstract_inverted_index.analysis | 157 |
| abstract_inverted_index.approach | 33 |
| abstract_inverted_index.full-sky | 35 |
| abstract_inverted_index.harmonic | 203 |
| abstract_inverted_index.recovers | 67 |
| abstract_inverted_index.spectra, | 101 |
| abstract_inverted_index.spectral | 69, 86 |
| abstract_inverted_index.superior | 146 |
| abstract_inverted_index.validate | 31 |
| abstract_inverted_index.accurate, | 108 |
| abstract_inverted_index.approach, | 13, 193 |
| abstract_inverted_index.component | 11, 68, 72 |
| abstract_inverted_index.contained | 171 |
| abstract_inverted_index.different | 19, 25 |
| abstract_inverted_index.estimated | 85 |
| abstract_inverted_index.implement | 1 |
| abstract_inverted_index.otherwise | 178 |
| abstract_inverted_index.precision | 82 |
| abstract_inverted_index.preserves | 182 |
| abstract_inverted_index.smoothing | 128 |
| abstract_inverted_index.spatially | 211 |
| abstract_inverted_index.accounting | 17 |
| abstract_inverted_index.advantages | 185 |
| abstract_inverted_index.beamwidths | 20 |
| abstract_inverted_index.correction | 6 |
| abstract_inverted_index.foreground | 99, 113 |
| abstract_inverted_index.importance | 42 |
| abstract_inverted_index.map-domain | 213 |
| abstract_inverted_index.operators. | 132 |
| abstract_inverted_index.parameters | 70, 87 |
| abstract_inverted_index.parametric | 10, 192 |
| abstract_inverted_index.particular | 110 |
| abstract_inverted_index.properties | 114 |
| abstract_inverted_index.resolution | 144, 152 |
| abstract_inverted_index.separation | 12 |
| abstract_inverted_index.stationary | 212 |
| abstract_inverted_index.underlying | 58 |
| abstract_inverted_index.assumptions | 47 |
| abstract_inverted_index.commutation | 124 |
| abstract_inverted_index.frequencies | 26 |
| abstract_inverted_index.improvement | 79 |
| abstract_inverted_index.information | 170 |
| abstract_inverted_index.parametric, | 63 |
| abstract_inverted_index.potentially | 106 |
| abstract_inverted_index.pre-defined | 76 |
| abstract_inverted_index.resolution. | 77 |
| abstract_inverted_index.simulations | 38 |
| abstract_inverted_index.cosmological | 169 |
| abstract_inverted_index.exploitation | 166 |
| abstract_inverted_index.facilitating | 165 |
| abstract_inverted_index.pixel-domain | 188 |
| abstract_inverted_index.successfully | 66 |
| abstract_inverted_index.variability, | 118 |
| abstract_inverted_index.correlations. | 215 |
| abstract_inverted_index.inaccessible. | 179 |
| abstract_inverted_index.significantly | 145 |
| abstract_inverted_index.implementation | 189 |
| abstract_inverted_index.preprocessing. | 29 |
| abstract_inverted_index.reconstruction | 137 |
| abstract_inverted_index.simplifications. | 49 |
| abstract_inverted_index.straightforwardly | 208 |
| abstract_inverted_index.maximum-likelihood, | 9 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.19090909 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |