BEYONDPLANCK: XIII. Intensity foreground sampling, degeneracies, and priors
We present the intensity foreground algorithms and model employed within the B EYOND P LANCK analysis framework. The B EYOND P LANCK analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation i...
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| Veröffentlicht in: | Astronomy and astrophysics (Berlin) 2023-06, Vol.675, p.A13 |
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| creator | Andersen, K. J. Herman, D. Aurlien, R. Banerji, R. Basyrov, A. Bersanelli, M. Bertocco, S. Brilenkov, M. Carbone, M. Colombo, L. P. L. Eriksen, H. K. Eskilt, J. R. Foss, M. K. Franceschet, C. Fuskeland, U. Galeotta, S. Galloway, M. Gerakakis, S. Gjerløw, E. Hensley, B. Iacobellis, M. Ieronymaki, M. Ihle, H. T. Jewell, J. B. Karakci, A. Keihänen, E. Keskitalo, R. Lunde, J. G. S. Maggio, G. Maino, D. Maris, M. Mennella, A. Paradiso, S. Partridge, B. Reinecke, M. San, M. Stutzer, N.-O. Suur-Uski, A.-S. Svalheim, T. L. Tavagnacco, D. Thommesen, H. Watts, D. J. Wehus, I. K. Zacchei, A. |
| description | We present the intensity foreground algorithms and model employed within the B
EYOND
P
LANCK
analysis framework. The B
EYOND
P
LANCK
analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation in the
Planck
Low Frequency Instrument (LFI) data analysis. Given the scope of the B
EYOND
P
LANCK
analysis, a limited set of data is included in the component separation process, leading to foreground parameter degeneracies. In order to properly constrain the Galactic foreground parameters, we improve upon the previous
Commander
component separation implementation by adding a suite of algorithmic techniques. These algorithms are designed to improve the stability and computational efficiency for weakly constrained posterior distributions. These are: (1) joint foreground spectral parameter and amplitude sampling, building on ideas from M
IRAMARE
; (2) component-based monopole determination; (3) joint spectral parameter and monopole sampling; and (4) application of informative spatial priors for component amplitude maps. We find that the only spectral parameter with a significant signal-to-noise ratio using the current B
EYOND
P
LANCK
data set is the peak frequency of the anomalous microwave emission component, for which we find
ν
p
= 25.3 ± 0.5 GHz; all others must be constrained through external priors. Future works will be aimed at integrating many more data sets into this analysis, both map and time-ordered based, thereby gradually eliminating the currently observed degeneracies in a controlled manner with respect to both instrumental systematic effects and astrophysical degeneracies. When this happens, the simple LFI-oriented data model employed in the current work will need to be generalized to account for both a richer astrophysical model and additional instrumental effects. This work will be organized within the Open Science-based C
OSMOGLOBE
community effort. |
| doi_str_mv | 10.1051/0004-6361/202243186 |
| format | Article |
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EYOND
P
LANCK
analysis framework. The B
EYOND
P
LANCK
analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation in the
Planck
Low Frequency Instrument (LFI) data analysis. Given the scope of the B
EYOND
P
LANCK
analysis, a limited set of data is included in the component separation process, leading to foreground parameter degeneracies. In order to properly constrain the Galactic foreground parameters, we improve upon the previous
Commander
component separation implementation by adding a suite of algorithmic techniques. These algorithms are designed to improve the stability and computational efficiency for weakly constrained posterior distributions. These are: (1) joint foreground spectral parameter and amplitude sampling, building on ideas from M
IRAMARE
; (2) component-based monopole determination; (3) joint spectral parameter and monopole sampling; and (4) application of informative spatial priors for component amplitude maps. We find that the only spectral parameter with a significant signal-to-noise ratio using the current B
EYOND
P
LANCK
data set is the peak frequency of the anomalous microwave emission component, for which we find
ν
p
= 25.3 ± 0.5 GHz; all others must be constrained through external priors. Future works will be aimed at integrating many more data sets into this analysis, both map and time-ordered based, thereby gradually eliminating the currently observed degeneracies in a controlled manner with respect to both instrumental systematic effects and astrophysical degeneracies. When this happens, the simple LFI-oriented data model employed in the current work will need to be generalized to account for both a richer astrophysical model and additional instrumental effects. This work will be organized within the Open Science-based C
OSMOGLOBE
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EYOND
P
LANCK
analysis framework. The B
EYOND
P
LANCK
analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation in the
Planck
Low Frequency Instrument (LFI) data analysis. Given the scope of the B
EYOND
P
LANCK
analysis, a limited set of data is included in the component separation process, leading to foreground parameter degeneracies. In order to properly constrain the Galactic foreground parameters, we improve upon the previous
Commander
component separation implementation by adding a suite of algorithmic techniques. These algorithms are designed to improve the stability and computational efficiency for weakly constrained posterior distributions. These are: (1) joint foreground spectral parameter and amplitude sampling, building on ideas from M
IRAMARE
; (2) component-based monopole determination; (3) joint spectral parameter and monopole sampling; and (4) application of informative spatial priors for component amplitude maps. We find that the only spectral parameter with a significant signal-to-noise ratio using the current B
EYOND
P
LANCK
data set is the peak frequency of the anomalous microwave emission component, for which we find
ν
p
= 25.3 ± 0.5 GHz; all others must be constrained through external priors. Future works will be aimed at integrating many more data sets into this analysis, both map and time-ordered based, thereby gradually eliminating the currently observed degeneracies in a controlled manner with respect to both instrumental systematic effects and astrophysical degeneracies. When this happens, the simple LFI-oriented data model employed in the current work will need to be generalized to account for both a richer astrophysical model and additional instrumental effects. This work will be organized within the Open Science-based C
OSMOGLOBE
community effort.</description><subject>ASTRONOMY AND ASTROPHYSICS</subject><subject>cosmic background radiation</subject><subject>cosmology: miscellaneous</subject><subject>cosmology: observations</subject><issn>0004-6361</issn><issn>1432-0746</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNo90D1PwzAQBmALgURo-QUsiD30PmLHHkspHyJqGWBgslzHEUGQoDgL_x5HhS53OunRK70nxAXCNYLEBQAUuWKFCwKiglGrI5FhwZRDWahjkR3EqTiL8SOdhJozMb9Zv203t8_VcrN6mouTxn3GcP63Z-L1bv2yesir7f3jalnlHjWOeR1kbXyJpdwROHKy1N5I15CsNTZGch0UOMUBwABrg0k2vJOelStRMs_E1T63j2Nro2_H4N9933XBj5aIDBlM6HKP_NAm1tmuH5xF0JLSlKCnHP4nfYxDaOz30H654SeByaCdatuptj08hn8BSkJPDQ</recordid><startdate>20230628</startdate><enddate>20230628</enddate><creator>Andersen, K. 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K.</creatorcontrib><creatorcontrib>Zacchei, A.</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</creatorcontrib><collection>CrossRef</collection><collection>NORA - Norwegian Open Research Archives</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Astronomy and astrophysics (Berlin)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andersen, K. J.</au><au>Herman, D.</au><au>Aurlien, R.</au><au>Banerji, R.</au><au>Basyrov, A.</au><au>Bersanelli, M.</au><au>Bertocco, S.</au><au>Brilenkov, M.</au><au>Carbone, M.</au><au>Colombo, L. P. L.</au><au>Eriksen, H. K.</au><au>Eskilt, J. R.</au><au>Foss, M. K.</au><au>Franceschet, C.</au><au>Fuskeland, U.</au><au>Galeotta, S.</au><au>Galloway, M.</au><au>Gerakakis, S.</au><au>Gjerløw, E.</au><au>Hensley, B.</au><au>Iacobellis, M.</au><au>Ieronymaki, M.</au><au>Ihle, H. T.</au><au>Jewell, J. B.</au><au>Karakci, A.</au><au>Keihänen, E.</au><au>Keskitalo, R.</au><au>Lunde, J. G. S.</au><au>Maggio, G.</au><au>Maino, D.</au><au>Maris, M.</au><au>Mennella, A.</au><au>Paradiso, S.</au><au>Partridge, B.</au><au>Reinecke, M.</au><au>San, M.</au><au>Stutzer, N.-O.</au><au>Suur-Uski, A.-S.</au><au>Svalheim, T. L.</au><au>Tavagnacco, D.</au><au>Thommesen, H.</au><au>Watts, D. J.</au><au>Wehus, I. K.</au><au>Zacchei, A.</au><aucorp>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BEYONDPLANCK: XIII. Intensity foreground sampling, degeneracies, and priors</atitle><jtitle>Astronomy and astrophysics (Berlin)</jtitle><date>2023-06-28</date><risdate>2023</risdate><volume>675</volume><spage>A13</spage><pages>A13-</pages><issn>0004-6361</issn><eissn>1432-0746</eissn><abstract>We present the intensity foreground algorithms and model employed within the B
EYOND
P
LANCK
analysis framework. The B
EYOND
P
LANCK
analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation in the
Planck
Low Frequency Instrument (LFI) data analysis. Given the scope of the B
EYOND
P
LANCK
analysis, a limited set of data is included in the component separation process, leading to foreground parameter degeneracies. In order to properly constrain the Galactic foreground parameters, we improve upon the previous
Commander
component separation implementation by adding a suite of algorithmic techniques. These algorithms are designed to improve the stability and computational efficiency for weakly constrained posterior distributions. These are: (1) joint foreground spectral parameter and amplitude sampling, building on ideas from M
IRAMARE
; (2) component-based monopole determination; (3) joint spectral parameter and monopole sampling; and (4) application of informative spatial priors for component amplitude maps. We find that the only spectral parameter with a significant signal-to-noise ratio using the current B
EYOND
P
LANCK
data set is the peak frequency of the anomalous microwave emission component, for which we find
ν
p
= 25.3 ± 0.5 GHz; all others must be constrained through external priors. Future works will be aimed at integrating many more data sets into this analysis, both map and time-ordered based, thereby gradually eliminating the currently observed degeneracies in a controlled manner with respect to both instrumental systematic effects and astrophysical degeneracies. When this happens, the simple LFI-oriented data model employed in the current work will need to be generalized to account for both a richer astrophysical model and additional instrumental effects. This work will be organized within the Open Science-based C
OSMOGLOBE
community effort.</abstract><cop>United States</cop><pub>EDP Sciences</pub><doi>10.1051/0004-6361/202243186</doi><orcidid>https://orcid.org/0000-0003-2332-5281</orcidid><orcidid>https://orcid.org/0000-0002-8420-7353</orcidid><orcidid>https://orcid.org/0000-0003-1077-298X</orcidid><orcidid>https://orcid.org/0000-0002-9747-8590</orcidid><orcidid>https://orcid.org/0000-0001-7218-3051</orcidid><orcidid>https://orcid.org/0000-0003-3821-7275</orcidid><orcidid>https://orcid.org/0000000284207353</orcidid><orcidid>https://orcid.org/0000000338217275</orcidid><orcidid>https://orcid.org/0000000323325281</orcidid><orcidid>https://orcid.org/0000000172183051</orcidid><orcidid>https://orcid.org/0000000297478590</orcidid><orcidid>https://orcid.org/000000031077298X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0004-6361 |
| ispartof | Astronomy and astrophysics (Berlin), 2023-06, Vol.675, p.A13 |
| issn | 0004-6361 1432-0746 |
| language | eng |
| recordid | cdi_osti_scitechconnect_2229291 |
| source | Bacon EDP Sciences France Licence nationale-ISTEX-PS-Journals-PFISTEX; EDP Sciences; NORA - Norwegian Open Research Archives; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | ASTRONOMY AND ASTROPHYSICS cosmic background radiation cosmology: miscellaneous cosmology: observations |
| title | BEYONDPLANCK: XIII. Intensity foreground sampling, degeneracies, and priors |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T15%3A28%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=BEYONDPLANCK:%20XIII.%20Intensity%20foreground%20sampling,%20degeneracies,%20and%20priors&rft.jtitle=Astronomy%20and%20astrophysics%20(Berlin)&rft.au=Andersen,%20K.%20J.&rft.aucorp=Lawrence%20Berkeley%20National%20Laboratory%20(LBNL),%20Berkeley,%20CA%20(United%20States)&rft.date=2023-06-28&rft.volume=675&rft.spage=A13&rft.pages=A13-&rft.issn=0004-6361&rft.eissn=1432-0746&rft_id=info:doi/10.1051/0004-6361/202243186&rft_dat=%3Ccrossref_osti_%3E10_1051_0004_6361_202243186%3C/crossref_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |