Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry
- Autores
- Regnier, M.; Manzan, E.; Hamilton, Jean christophe; Mennella, A.; Errard, J.; Zapelli, L.; Torchinsky, S. A.; Paradiso, S.; Battistelli, E.; De Bernardis, P.; Colombo, L.; De Petris, M.; D’Alessandro, G.; Garcia, Beatriz Elena; Gervasi, Maria Gracia; Masi, Silvia; Mousset, L.; Mirón Granese, Nahuel Omar; O’Sullivan, Créidhe; Piat, M.; Rasztocky, Emiliano; Romero, Gustavo Esteban; Scoccola, Claudia Graciela; Zannoni, M.
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Context. Astrophysical polarized foregrounds represent the most critical challenge in cosmic microwave background (CMB) B-mode experiments, requiring multifrequency observations to constrain astrophysical foregrounds and isolate the CMB signal. However, recent observations indicate that foreground emission may be more complex than anticipated. Not properly accounting for these complexities during component separation can lead to a bias in the recovered tensor-to-scalar ratio. Aims. In this paper we investigate how the increased spectral resolution provided by band-splitting in bolometric interferometry (BI) through a technique called spectral imaging can help control the foreground contamination in the case of an unaccounted-for Galactic dust frequency de-correlation along the line of sight (LOS). Methods. We focused on the next-generation ground-based CMB experiment CMB-S4 and compared its anticipated sensitivity, frequency, and sky coverage with a hypothetical version of the same experiment based on BI (CMB-S4/BI). We performed a Monte Carlo analysis based on parametric component separation methods (FGBuster and Commander) and computed the likelihood of the recovered tensor-to-scalar ratio, r. Results. The main result is that spectral imaging allows us to detect systematic uncertainties on r from frequency de-correlation when this effect is not accounted for in the component separation. Conversely, an imager such as CMB-S4 would detect a biased value of r and would be unable to spot the presence of a systematic effect. We find a similar result in the reconstruction of the dust spectral index, and we show that with BI we can more precisely measure the dust spectral index when frequency de-correlation is present and not accounted for in the component separation. Conclusions. The in-band frequency resolution provided by BI allows us to identify dust LOS frequency de-correlation residuals where an imager with a similar level of performance would fail. This creates the possibility of exploiting this potential in the context of future CMB polarization experiments that will be challenged by complex foregrounds in their quest for B-mode detection.
Fil: Regnier, M.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Manzan, E.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; Italia
Fil: Hamilton, Jean christophe. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Mennella, A.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; Italia
Fil: Errard, J.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Zapelli, L.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; Italia
Fil: Torchinsky, S. A.. Universite de Paris; Francia. Université PSL; Francia
Fil: Paradiso, S.. University of Waterloo; Canadá
Fil: Battistelli, E.. Università degli studi di Roma "La Sapienza"; Italia
Fil: De Bernardis, P.. Università degli studi di Roma "La Sapienza"; Italia
Fil: Colombo, L.. Università degli Studi di Milano; Italia
Fil: De Petris, M.. Università degli studi di Roma "La Sapienza"; Italia
Fil: D’Alessandro, G.. Università degli studi di Roma "La Sapienza"; Italia
Fil: Garcia, Beatriz Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; Argentina
Fil: Gervasi, Maria Gracia. Università degli Studi di Roma "La Sapienza"; Italia. Università degli Studi di Milano; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Masi, Silvia. Università degli studi di Roma "La Sapienza"; Italia
Fil: Mousset, L.. Institut de Recherche en Astrophysique et Planetologie; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Mirón Granese, Nahuel Omar. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: O’Sullivan, Créidhe. National University of Ireland Galway; Irlanda
Fil: Piat, M.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Rasztocky, Emiliano. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Romero, Gustavo Esteban. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Scoccola, Claudia Graciela. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Zannoni, M.. Università degli Studi di Milano; Italia - Materia
-
methods: data analysis
cosmic background radiation
inflation
submillimeter: ISM - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/242068
Ver los metadatos del registro completo
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Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometryRegnier, M.Manzan, E.Hamilton, Jean christopheMennella, A.Errard, J.Zapelli, L.Torchinsky, S. A.Paradiso, S.Battistelli, E.De Bernardis, P.Colombo, L.De Petris, M.D’Alessandro, G.Garcia, Beatriz ElenaGervasi, Maria GraciaMasi, SilviaMousset, L.Mirón Granese, Nahuel OmarO’Sullivan, CréidhePiat, M.Rasztocky, EmilianoRomero, Gustavo EstebanScoccola, Claudia GracielaZannoni, M.methods: data analysiscosmic background radiationinflationsubmillimeter: ISMhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Context. Astrophysical polarized foregrounds represent the most critical challenge in cosmic microwave background (CMB) B-mode experiments, requiring multifrequency observations to constrain astrophysical foregrounds and isolate the CMB signal. However, recent observations indicate that foreground emission may be more complex than anticipated. Not properly accounting for these complexities during component separation can lead to a bias in the recovered tensor-to-scalar ratio. Aims. In this paper we investigate how the increased spectral resolution provided by band-splitting in bolometric interferometry (BI) through a technique called spectral imaging can help control the foreground contamination in the case of an unaccounted-for Galactic dust frequency de-correlation along the line of sight (LOS). Methods. We focused on the next-generation ground-based CMB experiment CMB-S4 and compared its anticipated sensitivity, frequency, and sky coverage with a hypothetical version of the same experiment based on BI (CMB-S4/BI). We performed a Monte Carlo analysis based on parametric component separation methods (FGBuster and Commander) and computed the likelihood of the recovered tensor-to-scalar ratio, r. Results. The main result is that spectral imaging allows us to detect systematic uncertainties on r from frequency de-correlation when this effect is not accounted for in the component separation. Conversely, an imager such as CMB-S4 would detect a biased value of r and would be unable to spot the presence of a systematic effect. We find a similar result in the reconstruction of the dust spectral index, and we show that with BI we can more precisely measure the dust spectral index when frequency de-correlation is present and not accounted for in the component separation. Conclusions. The in-band frequency resolution provided by BI allows us to identify dust LOS frequency de-correlation residuals where an imager with a similar level of performance would fail. This creates the possibility of exploiting this potential in the context of future CMB polarization experiments that will be challenged by complex foregrounds in their quest for B-mode detection.Fil: Regnier, M.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; FranciaFil: Manzan, E.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; ItaliaFil: Hamilton, Jean christophe. Universite de Paris; Francia. Centre National de la Recherche Scientifique; FranciaFil: Mennella, A.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; ItaliaFil: Errard, J.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; FranciaFil: Zapelli, L.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; ItaliaFil: Torchinsky, S. A.. Universite de Paris; Francia. Université PSL; FranciaFil: Paradiso, S.. University of Waterloo; CanadáFil: Battistelli, E.. Università degli studi di Roma "La Sapienza"; ItaliaFil: De Bernardis, P.. Università degli studi di Roma "La Sapienza"; ItaliaFil: Colombo, L.. Università degli Studi di Milano; ItaliaFil: De Petris, M.. Università degli studi di Roma "La Sapienza"; ItaliaFil: D’Alessandro, G.. Università degli studi di Roma "La Sapienza"; ItaliaFil: Garcia, Beatriz Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; ArgentinaFil: Gervasi, Maria Gracia. Università degli Studi di Roma "La Sapienza"; Italia. Università degli Studi di Milano; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Masi, Silvia. Università degli studi di Roma "La Sapienza"; ItaliaFil: Mousset, L.. Institut de Recherche en Astrophysique et Planetologie; Francia. Centre National de la Recherche Scientifique; FranciaFil: Mirón Granese, Nahuel Omar. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: O’Sullivan, Créidhe. National University of Ireland Galway; IrlandaFil: Piat, M.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; FranciaFil: Rasztocky, Emiliano. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Romero, Gustavo Esteban. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Scoccola, Claudia Graciela. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Zannoni, M.. Università degli Studi di Milano; ItaliaEDP Sciences2024-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/242068Regnier, M.; Manzan, E.; Hamilton, Jean christophe; Mennella, A.; Errard, J.; et al.; Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry; EDP Sciences; Astronomy and Astrophysics; 686; 6-2024; 1-120004-6361CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.aanda.org/10.1051/0004-6361/202347890info:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202347890info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:35:06Zoai:ri.conicet.gov.ar:11336/242068instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:35:07.224CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| title |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| spellingShingle |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry Regnier, M. methods: data analysis cosmic background radiation inflation submillimeter: ISM |
| title_short |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| title_full |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| title_fullStr |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| title_full_unstemmed |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| title_sort |
Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry |
| dc.creator.none.fl_str_mv |
Regnier, M. Manzan, E. Hamilton, Jean christophe Mennella, A. Errard, J. Zapelli, L. Torchinsky, S. A. Paradiso, S. Battistelli, E. De Bernardis, P. Colombo, L. De Petris, M. D’Alessandro, G. Garcia, Beatriz Elena Gervasi, Maria Gracia Masi, Silvia Mousset, L. Mirón Granese, Nahuel Omar O’Sullivan, Créidhe Piat, M. Rasztocky, Emiliano Romero, Gustavo Esteban Scoccola, Claudia Graciela Zannoni, M. |
| author |
Regnier, M. |
| author_facet |
Regnier, M. Manzan, E. Hamilton, Jean christophe Mennella, A. Errard, J. Zapelli, L. Torchinsky, S. A. Paradiso, S. Battistelli, E. De Bernardis, P. Colombo, L. De Petris, M. D’Alessandro, G. Garcia, Beatriz Elena Gervasi, Maria Gracia Masi, Silvia Mousset, L. Mirón Granese, Nahuel Omar O’Sullivan, Créidhe Piat, M. Rasztocky, Emiliano Romero, Gustavo Esteban Scoccola, Claudia Graciela Zannoni, M. |
| author_role |
author |
| author2 |
Manzan, E. Hamilton, Jean christophe Mennella, A. Errard, J. Zapelli, L. Torchinsky, S. A. Paradiso, S. Battistelli, E. De Bernardis, P. Colombo, L. De Petris, M. D’Alessandro, G. Garcia, Beatriz Elena Gervasi, Maria Gracia Masi, Silvia Mousset, L. Mirón Granese, Nahuel Omar O’Sullivan, Créidhe Piat, M. Rasztocky, Emiliano Romero, Gustavo Esteban Scoccola, Claudia Graciela Zannoni, M. |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
methods: data analysis cosmic background radiation inflation submillimeter: ISM |
| topic |
methods: data analysis cosmic background radiation inflation submillimeter: ISM |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Context. Astrophysical polarized foregrounds represent the most critical challenge in cosmic microwave background (CMB) B-mode experiments, requiring multifrequency observations to constrain astrophysical foregrounds and isolate the CMB signal. However, recent observations indicate that foreground emission may be more complex than anticipated. Not properly accounting for these complexities during component separation can lead to a bias in the recovered tensor-to-scalar ratio. Aims. In this paper we investigate how the increased spectral resolution provided by band-splitting in bolometric interferometry (BI) through a technique called spectral imaging can help control the foreground contamination in the case of an unaccounted-for Galactic dust frequency de-correlation along the line of sight (LOS). Methods. We focused on the next-generation ground-based CMB experiment CMB-S4 and compared its anticipated sensitivity, frequency, and sky coverage with a hypothetical version of the same experiment based on BI (CMB-S4/BI). We performed a Monte Carlo analysis based on parametric component separation methods (FGBuster and Commander) and computed the likelihood of the recovered tensor-to-scalar ratio, r. Results. The main result is that spectral imaging allows us to detect systematic uncertainties on r from frequency de-correlation when this effect is not accounted for in the component separation. Conversely, an imager such as CMB-S4 would detect a biased value of r and would be unable to spot the presence of a systematic effect. We find a similar result in the reconstruction of the dust spectral index, and we show that with BI we can more precisely measure the dust spectral index when frequency de-correlation is present and not accounted for in the component separation. Conclusions. The in-band frequency resolution provided by BI allows us to identify dust LOS frequency de-correlation residuals where an imager with a similar level of performance would fail. This creates the possibility of exploiting this potential in the context of future CMB polarization experiments that will be challenged by complex foregrounds in their quest for B-mode detection. Fil: Regnier, M.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia Fil: Manzan, E.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; Italia Fil: Hamilton, Jean christophe. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia Fil: Mennella, A.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; Italia Fil: Errard, J.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia Fil: Zapelli, L.. Università degli Studi di Milano; Italia. Istituto Nazionale di Fisica Nucleare; Italia Fil: Torchinsky, S. A.. Universite de Paris; Francia. Université PSL; Francia Fil: Paradiso, S.. University of Waterloo; Canadá Fil: Battistelli, E.. Università degli studi di Roma "La Sapienza"; Italia Fil: De Bernardis, P.. Università degli studi di Roma "La Sapienza"; Italia Fil: Colombo, L.. Università degli Studi di Milano; Italia Fil: De Petris, M.. Università degli studi di Roma "La Sapienza"; Italia Fil: D’Alessandro, G.. Università degli studi di Roma "La Sapienza"; Italia Fil: Garcia, Beatriz Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; Argentina Fil: Gervasi, Maria Gracia. Università degli Studi di Roma "La Sapienza"; Italia. Università degli Studi di Milano; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Masi, Silvia. Università degli studi di Roma "La Sapienza"; Italia Fil: Mousset, L.. Institut de Recherche en Astrophysique et Planetologie; Francia. Centre National de la Recherche Scientifique; Francia Fil: Mirón Granese, Nahuel Omar. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: O’Sullivan, Créidhe. National University of Ireland Galway; Irlanda Fil: Piat, M.. Universite de Paris; Francia. Centre National de la Recherche Scientifique; Francia Fil: Rasztocky, Emiliano. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina Fil: Romero, Gustavo Esteban. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina Fil: Scoccola, Claudia Graciela. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: Zannoni, M.. Università degli Studi di Milano; Italia |
| description |
Context. Astrophysical polarized foregrounds represent the most critical challenge in cosmic microwave background (CMB) B-mode experiments, requiring multifrequency observations to constrain astrophysical foregrounds and isolate the CMB signal. However, recent observations indicate that foreground emission may be more complex than anticipated. Not properly accounting for these complexities during component separation can lead to a bias in the recovered tensor-to-scalar ratio. Aims. In this paper we investigate how the increased spectral resolution provided by band-splitting in bolometric interferometry (BI) through a technique called spectral imaging can help control the foreground contamination in the case of an unaccounted-for Galactic dust frequency de-correlation along the line of sight (LOS). Methods. We focused on the next-generation ground-based CMB experiment CMB-S4 and compared its anticipated sensitivity, frequency, and sky coverage with a hypothetical version of the same experiment based on BI (CMB-S4/BI). We performed a Monte Carlo analysis based on parametric component separation methods (FGBuster and Commander) and computed the likelihood of the recovered tensor-to-scalar ratio, r. Results. The main result is that spectral imaging allows us to detect systematic uncertainties on r from frequency de-correlation when this effect is not accounted for in the component separation. Conversely, an imager such as CMB-S4 would detect a biased value of r and would be unable to spot the presence of a systematic effect. We find a similar result in the reconstruction of the dust spectral index, and we show that with BI we can more precisely measure the dust spectral index when frequency de-correlation is present and not accounted for in the component separation. Conclusions. The in-band frequency resolution provided by BI allows us to identify dust LOS frequency de-correlation residuals where an imager with a similar level of performance would fail. This creates the possibility of exploiting this potential in the context of future CMB polarization experiments that will be challenged by complex foregrounds in their quest for B-mode detection. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-06 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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http://hdl.handle.net/11336/242068 Regnier, M.; Manzan, E.; Hamilton, Jean christophe; Mennella, A.; Errard, J.; et al.; Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry; EDP Sciences; Astronomy and Astrophysics; 686; 6-2024; 1-12 0004-6361 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/242068 |
| identifier_str_mv |
Regnier, M.; Manzan, E.; Hamilton, Jean christophe; Mennella, A.; Errard, J.; et al.; Identifying frequency de-correlated dust residuals in B -mode maps by exploiting the spectral capability of bolometric interferometry; EDP Sciences; Astronomy and Astrophysics; 686; 6-2024; 1-12 0004-6361 CONICET Digital CONICET |
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eng |
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eng |
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