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Projection factor and radii of Type II Cepheids: BL Her stars
Indexado
WoS WOS:001366206400011
Scopus SCOPUS_ID:85205536966
DOI 10.1051/0004-6361/202450182
Año 2024
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Context. Type II Cepheids are old pulsating stars that can be used to trace the distribution of an old stellar population and to measure distances to globular clusters and galaxies within several megaparsecs, and by extension, they can improve our understanding of the cosmic distance scale. One method that can be used to measure the distances of Type II Cepheids relies on period-luminosity relations, which are quite widely explored in the literature. The semi-geometrical Baade-Wesselink technique is another method that allows distances of radially pulsating stars, such as Type II Cepheids, to be measured if the so-called projection factor is known. However, the literature concerning this parameter for Type II Cepheids is limited to just a few pioneering works. Aims. In determining projection factors for eight nearby short-period Type II Cepheids, also known as BL Her type stars, we aim to calibrate the Baade-Wesselink method for measuring distances for this class of stars. Methods. Using the surface brightness-colour relation version of the Baade-Wesselink technique, we determined the projection factors and radii of eight nearby BL Her type stars. We adopted accurate distances of target stars from Gaia Data Release 3. Time series photometry in the V and KS bands have been collected with two telescopes located at the RolfChini Cerro Murphy Observatory (former Cerro Armazones Observatory), while spectroscopic data have been obtained within dedicated programmes with instruments hosted by the European Southern Observatory. Results. The measured projection factors for the stars with good quality data are in the range between 1.21 and 1.36. The typical uncertainty of projection factors is 0.1. The mean value is 1.330 ± 0.058, which gives the uncertainty of ∼4%. The main sources of uncertainty on the p-factors are statistical errors of the Baade-Wesselink fit (related to the dispersion and coverage of light and radial velocity curves) and parallax. In the case of radii, the biggest contribution to the error budget comes from the KS band photometry's systematic uncertainty and parallax. The determined radii allowed us to construct the period-radius relation for BL Her stars. Our period-radius relation is in good agreement with the previous empirical calibration, while two theoretical calibrations found in the literature agree with our relation within 2σ. We also confirm that BL Her and RR Lyr stars obey an apparent common period-radius relation.

Revista



Revista ISSN
Astronomy & Astrophysics 0004-6361

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Disciplinas de Investigación



WOS
Astronomy & Astrophysics
Scopus
Sin Disciplinas
SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Wielgorski, Piotr Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
2 Pietrzynski, Grzegorz Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Universidad de Concepción - Chile
Polish Acad Sci - Polonia
3 Gieren, Wolfgang Hombre Universidad de Concepción - Chile
4 Zgirski, B. - Universidad de Concepción - Chile
5 Gorski, Marek Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
6 Storm, Jesper Hombre Leibniz Institute for Astrophysics Potsdam - Alemania
Leibniz Inst Astrophys Potsdam AIP - Alemania
7 Nardetto, N. Hombre Observatoire de la Côte d'Azur - Francia
Univ Cote Azur - Francia
8 Kervella, P. Hombre L'Observatoire de Paris - Francia
Univ PSL - Francia
9 Bras, Garance - L'Observatoire de Paris - Francia
Univ PSL - Francia
10 Hajdu, G. Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
11 Hocde, Vincent Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
12 Pilecki, Bogumill Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
13 Narloch, W. Mujer Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
14 Karczmarek, Paulina Mujer Universidad de Concepción - Chile
15 Pych, Wojtek Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Polish Acad Sci - Polonia
16 Chinii, Rolf Hombre Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
Ruhr-Universität Bochum - Alemania
Universidad Católica del Norte - Chile
Polish Acad Sci - Polonia
Ruhr Univ Bochum - Alemania
17 Hodapp, Klaus W. Hombre University Hawaii Institute for Astronomy - Estados Unidos
Univ Hawaii - Estados Unidos

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Financiamiento



Fuente
National Science Foundation
Polish Ministry of Science and Higher Education
European Research Council
European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
National Aeronautics and Space Administration
Narodowe Centrum Nauki
European Organisation for Astronomical Research in the Southern Hemisphere under ESO programmes
Agence Nationale de la Recherche
French Agence Nationale de la Recherche (ANR)
BASAL Centro de Astrofisica y Tecnologias Afines (CATA)
Polish National Science Center
Horizon 2020
European Space Agency
Horizon 2020 Framework Programme
Fundacja na rzecz Nauki Polskiej
Centro de Astrofísica y Tecnologías Afines
Gaia Data Processing and Analysis Consortium
Foundation for Polish Science
SCIPY
NumPy
Ministerstwo Edukacji i Nauki
Diabetes Patient Advocacy Coalition
IRAF
Polish-French Marie Skłodowska-Curie and Pierre Curie Science Prize
DAOPHOT
CNTAC programmes
Polish-French Marie Sklodowska-Curie
SWARP

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Agradecimientos



Agradecimiento
P.W. gratefully acknowledges financial support from the Polish National Science Center grant PRELUDIUM 2018/31/N/ST9/02742. The research leading to these results has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreements No 695099 and No 951549). Support from DIR/2024/WK/02 grant of the Polish Ministry of Science and Higher Education and the Polish National Science Center grants MAESTRO 2017/26/A/ST9/00446 and BEETHOVEN 2018/31/G/ST9/03050 and Polish-French Marie Sklodowska-Curie and Pierre Curie Science Prize awarded by the Foundation for Polish Science is also acknowledged. W.G. and G.P. gratefully acknowledge financial support for this work from the BASAL Centro de Astrofisica y Tecnologias Afines (CATA) AFB-170002. N.N. acknowledges the support of the French Agence Nationale de la Recherche (ANR) under grant ANR-23-CE31-0009-01 (Unlock-pfactor) Based on data collected under the ESO/CAMK PAN -USB agreement at the ESO Paranal Observatory. We thank our colleagues involved in the process of gathering data in OCM. Based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere under ESO programmes 099.D-0380(A), 0100.D-0339(B),0100.D-0273(A),0102.D-0281(A), 105.20L8.002, 106.20Z1.001, 106.20Z1.002, 106.21T1.001, 108.22JX.001, 111.24YL.001 and CNTAC programmes CN2016B-150, CN2017A-121, CN2017B-43, CN2018A-40, CN2019B-64, CN2020B-42, CN2020B-69. We are greatly indebted to the sta ff at the ESO La Silla and Paranal Observatories for excellent support during the many visitor mode runs and for performing the observations in the service mode. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium).Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey (Skrutskie et al. 2006), which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France (Wenger et al. 2000). We acknowledge with thanks the variable star observations from the AAVSO International Database contributed by observers worldwide and used in this research. Software used in this work: gaiadr3_zeropoint (Lindegren et al. 2021a), Astropy7 (Astropy Collaboration 2013, 2018), IRAF (Tody 1986, 1993), Sextractor (Bertin & Arnouts 1996), SCAMP (Bertin 2006), SWARP (Bertin 2010), DAOPHOT (Stetson 1987), NumPy (van der Walt et al. 2011; Harris et al. 2020), SciPy (Virtanen et al. 2020), Matplotlib (Hunter 2007). The custom software with GUI used for the Baade-Wesselink IRSB analysis is available on Github: https://github.com/araucaria-project/balwan.git
P.W. gratefully acknowledges financial support from the Polish National Science Center grant PRELUDIUM 2018/31/N/ST9/02742. The research leading to these results has received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation programme (grant agreements No 695099 and No 951549). Support from DIR/2024/WK/02 grant of the Polish Ministry of Science and Higher Education and the Polish National Science Center grants MAESTRO 2017/26/A/ST9/00446 and BEETHOVEN 2018/31/G/ST9/03050 and Polish-French Marie Sk\u0142odowska-Curie and Pierre Curie Science Prize awarded by the Foundation for Polish Science is also acknowledged. W.G. and G.P. gratefully acknowledge financial support for this work from the BASAL Centro de Astrofisica y Tecnologias Afines (CATA) AFB-170002. N.N. acknowledges the support of the French Agence Nationale de la Recherche (ANR) under grant ANR-23-CE31-0009-01 (Unlock-pfactor) Based on data collected under the ESO/CAMK PAN - USB agreement at the ESO Paranal Observatory. We thank our colleagues involved in the process of gathering data in OCM. Based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere under ESO programmes 099.D-0380(A), 0100.D-0339(B),0100.D-0273(A),0102.D-0281(A), 105.20L8.002, 106.20Z1.001, 106.20Z1.002, 106.21T1.001, 108.22JX.001, 111.24YL.001 and CNTAC programmes CN2016B-150, CN2017A-121, CN2017B-43, CN2018A-40, CN2019B-64, CN2020B-42, CN2020B-69. We are greatly indebted to the staff at the ESO La Silla and Paranal Observatories for excellent support during the many visitor mode runs and for performing the observations in the service mode. This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey (Skrutskie et al. 2006), which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France (Wenger et al. 2000). We acknowledge with thanks the variable star observations from the AAVSO International Database contributed by observers worldwide and used in this research. Software used in this work: gaiadr3_zeropoint (Lindegren et al. 2021a), Astropy7 (Astropy Collaboration 2013, 2018), IRAF (Tody 1986, 1993), Sextractor (Bertin & Arnouts 1996), SCAMP (Bertin 2006), SWARP (Bertin 2010), DAOPHOT (Stetson 1987), NumPy (van der Walt et al. 2011; Harris et al. 2020), SciPy (Virtanen et al. 2020), Matplotlib (Hunter 2007). The custom software with GUI used for the Baade-Wesselink IRSB analysis is available on Github: https://github.com/araucaria-project/balwan.git .

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