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| Indexado |
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| DOI | 10.1051/0004-6361/202553783 | ||
| Año | 2025 | ||
| Tipo |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Context. To use the perioda luminosity relations of Cepheids to derive distances of extragalactic Cepheids, it is crucial to have reliable estimations of the luminosity of such stars. However, the light curves (LCs) of extragalactic Cepheids are sparsely sampled, which makes the interpolation difficult. Aims. Our purpose is to create general templates of Cepheid LCs that can be efficiently applied with only a few parameters, while ensuring they are reliable in terms of resulting mean magnitudes. We have also aimed to provide adaptable templates for the large variety of photometric bands to enlarge their possible applications. Methods. We performed a principal component analysis (PCA) on LCs in different bands from the optical to the mid-infrared (MIR) fitted by atmosphere models along the pulsation cycle for 75 galactic Cepheids. All the photometric bands were treated together to incorporate the results of the effective temperature variation. To link the different shapes of LCs, we also derived the relations between the period and the coefficients associated to the PCA. Results. We present our templates and a further analysis to validate their reliability. We also offer an example of their application to one Cepheid in the galaxy NGC 5584. We find a good agreement with previous estimations of mean magnitudes in the HST filters. We show examples of a template fitting for Cepheids in various environments to demonstrate the variety of applications of these templates. Conclusions. The templates we propose here can be used in a number of different situations (good phase coverage in many filters, poor phase coverage in one specific filter, but good phase coverage in some others, or noisy and sparse data), thereby mobilising the adapted fitting strategies. Moreover, the broad adaptability of this LC prediction tool is provided by the multiple photometric bands in which they can be inferred.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Bras, Garance | - |
L'Observatoire de Paris - Francia
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| 2 | Kervella, Pierre | - |
L'Observatoire de Paris - Francia
Universidad de Chile - Chile |
| 3 | Merand, Antoine | Hombre |
Observatorio Europeo Austral - Alemania
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| 4 | Afanasiev, Anton V. | Hombre |
L'Observatoire de Paris - Francia
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| 5 | Hocde, Vincent | - |
Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
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| 6 | Nardetto, N. | Hombre |
Observatoire de la Côte d'Azur - Francia
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| 7 | Gallenne, A. | - |
Universidad de Tarapacá - Chile
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| 8 | Pietrzynski, Grzegorz | Hombre |
Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia
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| 9 | Bailleul, M. C. | - |
Observatoire de la Côte d'Azur - Francia
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| 10 | Kiviaho, W. | - |
L'Observatoire de Paris - Francia
Universidad de Chile - Chile |
| Fuente |
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| National Science Foundation |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| European Research Council |
| National Aeronautics and Space Administration |
| Agence Nationale de la Recherche |
| Horizon 2020 Framework Programme |
| Fundacja na rzecz Nauki Polskiej |
| Agencia Nacional de Investigación y Desarrollo |
| Ministerstwo Edukacji i Nauki |
| UniverScale |
| Polish-French Marie Skłodowska-Curie and Pierre Curie Science Prize |
| Agradecimiento |
|---|
| This work has made use of data from the European Space Agency (ESA) mission Gaia ( http://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://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. 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 program (projects CepBin, grant agreement 695099, and UniverScale, grant agreement 951549). This research has been supported by the Polish-French Marie Sk\u0142odowska-Curie and Pierre Curie Science Prize awarded by the Foundation for Polish Science. The authors acknowledge the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-23-CE31-0009-01 (Unlock-pfactor). A. G. acknowledges the support of the Agencia Nacional de Investigaci\u00F3n Cient\u00EDfica y Desarrollo (ANID) through the FONDECYT Regular grant 1241073. We also acknowledge support from the Polish Ministry of Science and Higher Education grant DIR-WSIB.92.2.2024. This research has made use of Astropy (Available at http://www.astropy.org/ ), a community-developed core Python package for Astronomy (Astropy Collaboration 2013, 2018), the Numpy library (Harris et al. 2020), the Astroquery library (Ginsburg et al. 2019), the scikit-learn package (Pedregosa et al. 2011) and the Matplotlib graphics environment (Hunter 2007). We acknowledge with thanks the variable star observations from the AAVSO International Database contributed by observers worldwide and used in this research. We used the SIMBAD and VizieR databases and catalogue access tool at the CDS, Strasbourg (France), and NASA\u2019s Astrophysics Data System Bibliographic Services. The original description of the VizieR service was published in Ochsenbein et al. (2000). This publication makes use of data products from the Two Micron All Sky Survey, 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. |