COSMOGLOBE DR1 results
We present COSMOGLOBE Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework directly builds on a similar analysis of the LFI measurements by the BEYONDPLANCK collaboration, and appro...
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creator | Watts, D J Basyrov, A Eskilt, J R Galloway, M Gjerløw, E Hergt, L T Herman, D Ihle, H T Paradiso, S Rahman, F Thommesen, H Aurlien, R Bersanelli, M Bianchi, L A Brilenkov, M Colombo, L P L Eriksen, H K Franceschet, C Fuskeland, U Hensley, B Hoerning, G A Lee, K Lunde, J G S Marins, A Nerval, S K Patel, S K Regnier, M San, M Sanyal, S N.-O. Stutzer Verma, A Wehus, I K Zhou, Y |
description | We present COSMOGLOBE Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework directly builds on a similar analysis of the LFI measurements by the BEYONDPLANCK collaboration, and approaches the cosmic microwave background (CMB) analysis challenge through Gibbs sampling of a global posterior distribution, simultaneously accounting for calibration, mapmaking, and component separation. The computational cost of producing one complete WMAP+LFI Gibbs sample is 812 CPU-h, of which 603 CPU-h are spent on WMAP low-level processing; this demonstrates that end-to-end Bayesian analysis of the WMAP data is computationally feasible. We find that our WMAP posterior mean temperature sky maps and CMB temperature power spectrum are largely consistent with the official WMAP9 results. Perhaps the most notable difference is that our CMB dipole amplitude is 3366.2 ± 1.4 μK, which is 11 μK higher than the WMAP9 estimate and 2.5σ higher than BEYONDPLANCK; however, it is in perfect agreement with the HFI-dominated Planck PR4 result. In contrast, our WMAP polarization maps differ more notably from the WMAP9 results, and in general exhibit significantly lower large-scale residuals. We attribute this to a better constrained gain and transmission imbalance model. It is particularly noteworthy that the W-band polarization sky map, which was excluded from the official WMAP cosmological analysis, for the first time appears visually consistent with the V-band sky map. Similarly, the long standing discrepancy between the WMAP K-band and LFI 30 GHz maps is finally resolved, and the difference between the two maps appears consistent with instrumental noise at high Galactic latitudes. Relatedly, these updated maps allowed us for the first time to combine WMAP and LFI polarization data into a single coherent model of large-scale polarized synchrotron emission. Still, we identified a few issues that require additional work, including (1) low-level noise modeling; (2) large-scale temperature residuals at the 1–2 μK level; and (3) a strong degeneracy between the absolute K-band calibration and the dipole of the anomalous microwave emission component. We conclude that leveraging the complementary strengths of WMAP and LFI has allowed the mitigation of both experiments’ weaknesses, and resulted in new state-of-the-art WMAP sky maps. All maps and the associated code are made publicly |
doi_str_mv | 10.1051/0004-6361/202346414 |
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Stutzer ; Verma, A ; Wehus, I K ; Zhou, Y</creator><creatorcontrib>Watts, D J ; Basyrov, A ; Eskilt, J R ; Galloway, M ; Gjerløw, E ; Hergt, L T ; Herman, D ; Ihle, H T ; Paradiso, S ; Rahman, F ; Thommesen, H ; Aurlien, R ; Bersanelli, M ; Bianchi, L A ; Brilenkov, M ; Colombo, L P L ; Eriksen, H K ; Franceschet, C ; Fuskeland, U ; Hensley, B ; Hoerning, G A ; Lee, K ; Lunde, J G S ; Marins, A ; Nerval, S K ; Patel, S K ; Regnier, M ; San, M ; Sanyal, S ; N.-O. Stutzer ; Verma, A ; Wehus, I K ; Zhou, Y</creatorcontrib><description>We present COSMOGLOBE Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework directly builds on a similar analysis of the LFI measurements by the BEYONDPLANCK collaboration, and approaches the cosmic microwave background (CMB) analysis challenge through Gibbs sampling of a global posterior distribution, simultaneously accounting for calibration, mapmaking, and component separation. The computational cost of producing one complete WMAP+LFI Gibbs sample is 812 CPU-h, of which 603 CPU-h are spent on WMAP low-level processing; this demonstrates that end-to-end Bayesian analysis of the WMAP data is computationally feasible. We find that our WMAP posterior mean temperature sky maps and CMB temperature power spectrum are largely consistent with the official WMAP9 results. Perhaps the most notable difference is that our CMB dipole amplitude is 3366.2 ± 1.4 μK, which is 11 μK higher than the WMAP9 estimate and 2.5σ higher than BEYONDPLANCK; however, it is in perfect agreement with the HFI-dominated Planck PR4 result. In contrast, our WMAP polarization maps differ more notably from the WMAP9 results, and in general exhibit significantly lower large-scale residuals. We attribute this to a better constrained gain and transmission imbalance model. It is particularly noteworthy that the W-band polarization sky map, which was excluded from the official WMAP cosmological analysis, for the first time appears visually consistent with the V-band sky map. Similarly, the long standing discrepancy between the WMAP K-band and LFI 30 GHz maps is finally resolved, and the difference between the two maps appears consistent with instrumental noise at high Galactic latitudes. Relatedly, these updated maps allowed us for the first time to combine WMAP and LFI polarization data into a single coherent model of large-scale polarized synchrotron emission. Still, we identified a few issues that require additional work, including (1) low-level noise modeling; (2) large-scale temperature residuals at the 1–2 μK level; and (3) a strong degeneracy between the absolute K-band calibration and the dipole of the anomalous microwave emission component. We conclude that leveraging the complementary strengths of WMAP and LFI has allowed the mitigation of both experiments’ weaknesses, and resulted in new state-of-the-art WMAP sky maps. All maps and the associated code are made publicly available through the COSMOGLOBE web page.</description><identifier>ISSN: 0004-6361</identifier><identifier>EISSN: 1432-0746</identifier><identifier>DOI: 10.1051/0004-6361/202346414</identifier><language>eng</language><publisher>Heidelberg: EDP Sciences</publisher><subject>Astronomical maps ; Bayesian analysis ; Calibration ; Cartography ; Cosmic microwave background ; Dipoles ; Extremely high frequencies ; Microwave emission ; Polarization ; Star maps ; Synchrotrons</subject><ispartof>Astronomy and astrophysics (Berlin), 2023-11, Vol.679</ispartof><rights>2023. This work is licensed under https://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-c1234-c807c4de27a9e0168c82724840403ed6bdf53d71f8b16479da224c2bd9f57cde3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Watts, D J</creatorcontrib><creatorcontrib>Basyrov, A</creatorcontrib><creatorcontrib>Eskilt, J R</creatorcontrib><creatorcontrib>Galloway, M</creatorcontrib><creatorcontrib>Gjerløw, E</creatorcontrib><creatorcontrib>Hergt, L T</creatorcontrib><creatorcontrib>Herman, D</creatorcontrib><creatorcontrib>Ihle, H T</creatorcontrib><creatorcontrib>Paradiso, S</creatorcontrib><creatorcontrib>Rahman, F</creatorcontrib><creatorcontrib>Thommesen, H</creatorcontrib><creatorcontrib>Aurlien, R</creatorcontrib><creatorcontrib>Bersanelli, M</creatorcontrib><creatorcontrib>Bianchi, L A</creatorcontrib><creatorcontrib>Brilenkov, M</creatorcontrib><creatorcontrib>Colombo, L P L</creatorcontrib><creatorcontrib>Eriksen, H K</creatorcontrib><creatorcontrib>Franceschet, C</creatorcontrib><creatorcontrib>Fuskeland, U</creatorcontrib><creatorcontrib>Hensley, B</creatorcontrib><creatorcontrib>Hoerning, G A</creatorcontrib><creatorcontrib>Lee, K</creatorcontrib><creatorcontrib>Lunde, J G S</creatorcontrib><creatorcontrib>Marins, A</creatorcontrib><creatorcontrib>Nerval, S K</creatorcontrib><creatorcontrib>Patel, S K</creatorcontrib><creatorcontrib>Regnier, M</creatorcontrib><creatorcontrib>San, M</creatorcontrib><creatorcontrib>Sanyal, S</creatorcontrib><creatorcontrib>N.-O. Stutzer</creatorcontrib><creatorcontrib>Verma, A</creatorcontrib><creatorcontrib>Wehus, I K</creatorcontrib><creatorcontrib>Zhou, Y</creatorcontrib><title>COSMOGLOBE DR1 results</title><title>Astronomy and astrophysics (Berlin)</title><description>We present COSMOGLOBE Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework directly builds on a similar analysis of the LFI measurements by the BEYONDPLANCK collaboration, and approaches the cosmic microwave background (CMB) analysis challenge through Gibbs sampling of a global posterior distribution, simultaneously accounting for calibration, mapmaking, and component separation. The computational cost of producing one complete WMAP+LFI Gibbs sample is 812 CPU-h, of which 603 CPU-h are spent on WMAP low-level processing; this demonstrates that end-to-end Bayesian analysis of the WMAP data is computationally feasible. We find that our WMAP posterior mean temperature sky maps and CMB temperature power spectrum are largely consistent with the official WMAP9 results. Perhaps the most notable difference is that our CMB dipole amplitude is 3366.2 ± 1.4 μK, which is 11 μK higher than the WMAP9 estimate and 2.5σ higher than BEYONDPLANCK; however, it is in perfect agreement with the HFI-dominated Planck PR4 result. In contrast, our WMAP polarization maps differ more notably from the WMAP9 results, and in general exhibit significantly lower large-scale residuals. We attribute this to a better constrained gain and transmission imbalance model. It is particularly noteworthy that the W-band polarization sky map, which was excluded from the official WMAP cosmological analysis, for the first time appears visually consistent with the V-band sky map. Similarly, the long standing discrepancy between the WMAP K-band and LFI 30 GHz maps is finally resolved, and the difference between the two maps appears consistent with instrumental noise at high Galactic latitudes. Relatedly, these updated maps allowed us for the first time to combine WMAP and LFI polarization data into a single coherent model of large-scale polarized synchrotron emission. Still, we identified a few issues that require additional work, including (1) low-level noise modeling; (2) large-scale temperature residuals at the 1–2 μK level; and (3) a strong degeneracy between the absolute K-band calibration and the dipole of the anomalous microwave emission component. We conclude that leveraging the complementary strengths of WMAP and LFI has allowed the mitigation of both experiments’ weaknesses, and resulted in new state-of-the-art WMAP sky maps. All maps and the associated code are made publicly available through the COSMOGLOBE web page.</description><subject>Astronomical maps</subject><subject>Bayesian analysis</subject><subject>Calibration</subject><subject>Cartography</subject><subject>Cosmic microwave background</subject><subject>Dipoles</subject><subject>Extremely high frequencies</subject><subject>Microwave emission</subject><subject>Polarization</subject><subject>Star maps</subject><subject>Synchrotrons</subject><issn>0004-6361</issn><issn>1432-0746</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo9jUFLw0AQRpeiYGx79dJLwfPamdnJzuaosVYhJaD2XJLdzaEUq9nm_xtQenp88PieUguEB4QcVwDA2hqLKwIybBl5ojJkQxqE7ZXKLsaNuk3pME5CZzJ1V9Yf23pT1U_r5fM7LvuYhuM5zdR11xxTnP9zqnYv68_yVVf15q18rLTHsaO9A_EcIklTREDrvCMhdgwMJgbbhi43QbBzLVqWIjRE7KkNRZeLD9FM1f3f73d_-hliOu8Pp6H_GpN7ckUuIo7Z_ALSWToW</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Watts, D J</creator><creator>Basyrov, A</creator><creator>Eskilt, J R</creator><creator>Galloway, M</creator><creator>Gjerløw, E</creator><creator>Hergt, L T</creator><creator>Herman, D</creator><creator>Ihle, H T</creator><creator>Paradiso, S</creator><creator>Rahman, F</creator><creator>Thommesen, H</creator><creator>Aurlien, R</creator><creator>Bersanelli, M</creator><creator>Bianchi, L A</creator><creator>Brilenkov, M</creator><creator>Colombo, L P L</creator><creator>Eriksen, H K</creator><creator>Franceschet, C</creator><creator>Fuskeland, U</creator><creator>Hensley, B</creator><creator>Hoerning, G A</creator><creator>Lee, K</creator><creator>Lunde, J G S</creator><creator>Marins, A</creator><creator>Nerval, S K</creator><creator>Patel, S K</creator><creator>Regnier, M</creator><creator>San, M</creator><creator>Sanyal, S</creator><creator>N.-O. Stutzer</creator><creator>Verma, A</creator><creator>Wehus, I K</creator><creator>Zhou, Y</creator><general>EDP Sciences</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20231101</creationdate><title>COSMOGLOBE DR1 results</title><author>Watts, D J ; Basyrov, A ; Eskilt, J R ; Galloway, M ; Gjerløw, E ; Hergt, L T ; Herman, D ; Ihle, H T ; Paradiso, S ; Rahman, F ; Thommesen, H ; Aurlien, R ; Bersanelli, M ; Bianchi, L A ; Brilenkov, M ; Colombo, L P L ; Eriksen, H K ; Franceschet, C ; Fuskeland, U ; Hensley, B ; Hoerning, G A ; Lee, K ; Lunde, J G S ; Marins, A ; Nerval, S K ; Patel, S K ; Regnier, M ; San, M ; Sanyal, S ; N.-O. 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Stutzer</creatorcontrib><creatorcontrib>Verma, A</creatorcontrib><creatorcontrib>Wehus, I K</creatorcontrib><creatorcontrib>Zhou, Y</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Astronomy and astrophysics (Berlin)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Watts, D J</au><au>Basyrov, A</au><au>Eskilt, J R</au><au>Galloway, M</au><au>Gjerløw, E</au><au>Hergt, L T</au><au>Herman, D</au><au>Ihle, H T</au><au>Paradiso, S</au><au>Rahman, F</au><au>Thommesen, H</au><au>Aurlien, R</au><au>Bersanelli, M</au><au>Bianchi, L A</au><au>Brilenkov, M</au><au>Colombo, L P L</au><au>Eriksen, H K</au><au>Franceschet, C</au><au>Fuskeland, U</au><au>Hensley, B</au><au>Hoerning, G A</au><au>Lee, K</au><au>Lunde, J G S</au><au>Marins, A</au><au>Nerval, S K</au><au>Patel, S K</au><au>Regnier, M</au><au>San, M</au><au>Sanyal, S</au><au>N.-O. Stutzer</au><au>Verma, A</au><au>Wehus, I K</au><au>Zhou, Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COSMOGLOBE DR1 results</atitle><jtitle>Astronomy and astrophysics (Berlin)</jtitle><date>2023-11-01</date><risdate>2023</risdate><volume>679</volume><issn>0004-6361</issn><eissn>1432-0746</eissn><abstract>We present COSMOGLOBE Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework directly builds on a similar analysis of the LFI measurements by the BEYONDPLANCK collaboration, and approaches the cosmic microwave background (CMB) analysis challenge through Gibbs sampling of a global posterior distribution, simultaneously accounting for calibration, mapmaking, and component separation. The computational cost of producing one complete WMAP+LFI Gibbs sample is 812 CPU-h, of which 603 CPU-h are spent on WMAP low-level processing; this demonstrates that end-to-end Bayesian analysis of the WMAP data is computationally feasible. We find that our WMAP posterior mean temperature sky maps and CMB temperature power spectrum are largely consistent with the official WMAP9 results. Perhaps the most notable difference is that our CMB dipole amplitude is 3366.2 ± 1.4 μK, which is 11 μK higher than the WMAP9 estimate and 2.5σ higher than BEYONDPLANCK; however, it is in perfect agreement with the HFI-dominated Planck PR4 result. In contrast, our WMAP polarization maps differ more notably from the WMAP9 results, and in general exhibit significantly lower large-scale residuals. We attribute this to a better constrained gain and transmission imbalance model. It is particularly noteworthy that the W-band polarization sky map, which was excluded from the official WMAP cosmological analysis, for the first time appears visually consistent with the V-band sky map. Similarly, the long standing discrepancy between the WMAP K-band and LFI 30 GHz maps is finally resolved, and the difference between the two maps appears consistent with instrumental noise at high Galactic latitudes. Relatedly, these updated maps allowed us for the first time to combine WMAP and LFI polarization data into a single coherent model of large-scale polarized synchrotron emission. Still, we identified a few issues that require additional work, including (1) low-level noise modeling; (2) large-scale temperature residuals at the 1–2 μK level; and (3) a strong degeneracy between the absolute K-band calibration and the dipole of the anomalous microwave emission component. We conclude that leveraging the complementary strengths of WMAP and LFI has allowed the mitigation of both experiments’ weaknesses, and resulted in new state-of-the-art WMAP sky maps. All maps and the associated code are made publicly available through the COSMOGLOBE web page.</abstract><cop>Heidelberg</cop><pub>EDP Sciences</pub><doi>10.1051/0004-6361/202346414</doi><oa>free_for_read</oa></addata></record> |
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subjects | Astronomical maps Bayesian analysis Calibration Cartography Cosmic microwave background Dipoles Extremely high frequencies Microwave emission Polarization Star maps Synchrotrons |
title | COSMOGLOBE DR1 results |
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