CMB-S4: Iterative Internal Delensing and r Constraints
The tightest constraints on the tensor-to-scalar ratio r can only be obtained after removing a substantial fraction of the lensing B -mode sample variance. The planned Cosmic Microwave Background (CMB)-S4 experiment ( cmb-s4.org ) will remove the lensing B -mode signal internally by reconstructing t...
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description | The tightest constraints on the tensor-to-scalar ratio
r
can only be obtained after removing a substantial fraction of the lensing
B
-mode sample variance. The planned Cosmic Microwave Background (CMB)-S4 experiment (
cmb-s4.org
) will remove the lensing
B
-mode signal internally by reconstructing the gravitational lenses from high-resolution observations. We document here a first lensing reconstruction pipeline able to achieve this optimally for arbitrary sky coverage. We make it part of a map-based framework to test CMB-S4 delensing performance and its constraining power on
r
, including inhomogeneous noise and two non-Gaussian Galactic polarized foreground models. The framework performs component separation of the high-resolution maps, followed by the construction of lensing
B
-mode templates, which are then included in a parametric small-aperture map cross-spectra-based likelihood for
r
. We find that the lensing reconstruction and framework achieve the expected performance, compatible with the target
σ
(
r
) ≃ 5 · 10
−4
in the absence of a tensor signal, after an effective removal of 92%–93% of the lensing
B
-mode variance, depending on the simulation set. The code for the lensing reconstruction can also be used for cross-correlation studies with large-scale structures, lensing spectrum reconstruction, cluster lensing, or other CMB lensing-related purposes. As part of our tests, we also demonstrate the joint optimal reconstruction of the lensing potential with the lensing curl potential mode at second order in the density fluctuations. |
doi_str_mv | 10.3847/1538-4357/ad2351 |
format | Article |
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r
can only be obtained after removing a substantial fraction of the lensing
B
-mode sample variance. The planned Cosmic Microwave Background (CMB)-S4 experiment (
cmb-s4.org
) will remove the lensing
B
-mode signal internally by reconstructing the gravitational lenses from high-resolution observations. We document here a first lensing reconstruction pipeline able to achieve this optimally for arbitrary sky coverage. We make it part of a map-based framework to test CMB-S4 delensing performance and its constraining power on
r
, including inhomogeneous noise and two non-Gaussian Galactic polarized foreground models. The framework performs component separation of the high-resolution maps, followed by the construction of lensing
B
-mode templates, which are then included in a parametric small-aperture map cross-spectra-based likelihood for
r
. We find that the lensing reconstruction and framework achieve the expected performance, compatible with the target
σ
(
r
) ≃ 5 · 10
−4
in the absence of a tensor signal, after an effective removal of 92%–93% of the lensing
B
-mode variance, depending on the simulation set. The code for the lensing reconstruction can also be used for cross-correlation studies with large-scale structures, lensing spectrum reconstruction, cluster lensing, or other CMB lensing-related purposes. As part of our tests, we also demonstrate the joint optimal reconstruction of the lensing potential with the lensing curl potential mode at second order in the density fluctuations.</description><identifier>ISSN: 0004-637X</identifier><identifier>EISSN: 1538-4357</identifier><identifier>DOI: 10.3847/1538-4357/ad2351</identifier><language>eng</language><publisher>Philadelphia: The American Astronomical Society</publisher><subject>Astronomical models ; Cosmic background radiation ; Cosmic inflation ; Cosmic microwave background ; Cosmological parameters ; Cross correlation ; Gravitational lenses ; Gravitational waves ; High resolution ; Mathematical analysis ; Optimization ; Reconstruction ; Sample variance ; Tensors</subject><ispartof>The Astrophysical journal, 2024-04, Vol.964 (2), p.148</ispartof><rights>2024. The Author(s). Published by the American Astronomical Society.</rights><rights>2024. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-489d17c54930a92c584a72cf73b12d72e1014415c68638019e8afe95671a59543</citedby><cites>FETCH-LOGICAL-c443t-489d17c54930a92c584a72cf73b12d72e1014415c68638019e8afe95671a59543</cites><orcidid>0000-0003-3983-6668 ; 0000-0001-9185-6514 ; 0000-0002-5751-1392 ; 0000-0003-0610-5252 ; 0000-0003-2337-2926 ; 0000-0002-6805-6188 ; 0000000339836668 ; 0000000191856514 ; 0000000257511392 ; 0000000306105252 ; 0000000323372926 ; 0000000268056188</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.3847/1538-4357/ad2351/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>230,314,780,784,864,885,2102,27924,27925,38890,53867</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/2329352$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Belkner, Sebastian</creatorcontrib><creatorcontrib>Carron, Julien</creatorcontrib><creatorcontrib>Legrand, Louis</creatorcontrib><creatorcontrib>Umiltà, Caterina</creatorcontrib><creatorcontrib>Pryke, Clem</creatorcontrib><creatorcontrib>Bischoff, Colin</creatorcontrib><creatorcontrib>CMB-S4 Collaboration</creatorcontrib><title>CMB-S4: Iterative Internal Delensing and r Constraints</title><title>The Astrophysical journal</title><addtitle>APJ</addtitle><addtitle>Astrophys. J</addtitle><description>The tightest constraints on the tensor-to-scalar ratio
r
can only be obtained after removing a substantial fraction of the lensing
B
-mode sample variance. The planned Cosmic Microwave Background (CMB)-S4 experiment (
cmb-s4.org
) will remove the lensing
B
-mode signal internally by reconstructing the gravitational lenses from high-resolution observations. We document here a first lensing reconstruction pipeline able to achieve this optimally for arbitrary sky coverage. We make it part of a map-based framework to test CMB-S4 delensing performance and its constraining power on
r
, including inhomogeneous noise and two non-Gaussian Galactic polarized foreground models. The framework performs component separation of the high-resolution maps, followed by the construction of lensing
B
-mode templates, which are then included in a parametric small-aperture map cross-spectra-based likelihood for
r
. We find that the lensing reconstruction and framework achieve the expected performance, compatible with the target
σ
(
r
) ≃ 5 · 10
−4
in the absence of a tensor signal, after an effective removal of 92%–93% of the lensing
B
-mode variance, depending on the simulation set. The code for the lensing reconstruction can also be used for cross-correlation studies with large-scale structures, lensing spectrum reconstruction, cluster lensing, or other CMB lensing-related purposes. 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Carron, Julien ; Legrand, Louis ; Umiltà, Caterina ; Pryke, Clem ; Bischoff, Colin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-489d17c54930a92c584a72cf73b12d72e1014415c68638019e8afe95671a59543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Astronomical models</topic><topic>Cosmic background radiation</topic><topic>Cosmic inflation</topic><topic>Cosmic microwave background</topic><topic>Cosmological parameters</topic><topic>Cross correlation</topic><topic>Gravitational lenses</topic><topic>Gravitational waves</topic><topic>High resolution</topic><topic>Mathematical analysis</topic><topic>Optimization</topic><topic>Reconstruction</topic><topic>Sample variance</topic><topic>Tensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belkner, Sebastian</creatorcontrib><creatorcontrib>Carron, Julien</creatorcontrib><creatorcontrib>Legrand, Louis</creatorcontrib><creatorcontrib>Umiltà, Caterina</creatorcontrib><creatorcontrib>Pryke, Clem</creatorcontrib><creatorcontrib>Bischoff, Colin</creatorcontrib><creatorcontrib>CMB-S4 Collaboration</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>The Astrophysical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belkner, Sebastian</au><au>Carron, Julien</au><au>Legrand, Louis</au><au>Umiltà, Caterina</au><au>Pryke, Clem</au><au>Bischoff, Colin</au><aucorp>CMB-S4 Collaboration</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CMB-S4: Iterative Internal Delensing and r Constraints</atitle><jtitle>The Astrophysical journal</jtitle><stitle>APJ</stitle><addtitle>Astrophys. 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r
can only be obtained after removing a substantial fraction of the lensing
B
-mode sample variance. The planned Cosmic Microwave Background (CMB)-S4 experiment (
cmb-s4.org
) will remove the lensing
B
-mode signal internally by reconstructing the gravitational lenses from high-resolution observations. We document here a first lensing reconstruction pipeline able to achieve this optimally for arbitrary sky coverage. We make it part of a map-based framework to test CMB-S4 delensing performance and its constraining power on
r
, including inhomogeneous noise and two non-Gaussian Galactic polarized foreground models. The framework performs component separation of the high-resolution maps, followed by the construction of lensing
B
-mode templates, which are then included in a parametric small-aperture map cross-spectra-based likelihood for
r
. We find that the lensing reconstruction and framework achieve the expected performance, compatible with the target
σ
(
r
) ≃ 5 · 10
−4
in the absence of a tensor signal, after an effective removal of 92%–93% of the lensing
B
-mode variance, depending on the simulation set. The code for the lensing reconstruction can also be used for cross-correlation studies with large-scale structures, lensing spectrum reconstruction, cluster lensing, or other CMB lensing-related purposes. As part of our tests, we also demonstrate the joint optimal reconstruction of the lensing potential with the lensing curl potential mode at second order in the density fluctuations.</abstract><cop>Philadelphia</cop><pub>The American Astronomical Society</pub><doi>10.3847/1538-4357/ad2351</doi><tpages>29</tpages><orcidid>https://orcid.org/0000-0003-3983-6668</orcidid><orcidid>https://orcid.org/0000-0001-9185-6514</orcidid><orcidid>https://orcid.org/0000-0002-5751-1392</orcidid><orcidid>https://orcid.org/0000-0003-0610-5252</orcidid><orcidid>https://orcid.org/0000-0003-2337-2926</orcidid><orcidid>https://orcid.org/0000-0002-6805-6188</orcidid><orcidid>https://orcid.org/0000000339836668</orcidid><orcidid>https://orcid.org/0000000191856514</orcidid><orcidid>https://orcid.org/0000000257511392</orcidid><orcidid>https://orcid.org/0000000306105252</orcidid><orcidid>https://orcid.org/0000000323372926</orcidid><orcidid>https://orcid.org/0000000268056188</orcidid><oa>free_for_read</oa></addata></record> |
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source | IOP Publishing Free Content; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | Astronomical models Cosmic background radiation Cosmic inflation Cosmic microwave background Cosmological parameters Cross correlation Gravitational lenses Gravitational waves High resolution Mathematical analysis Optimization Reconstruction Sample variance Tensors |
title | CMB-S4: Iterative Internal Delensing and r Constraints |
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