ALMA-IMF

Context. The ALMA-IMF Large Program imaged 15 massive protoclusters down to a resolution of ~2 kau scales, identifying about 10 3 star-forming cores. The mass and luminosity of these cores, which are fundamental physical characteristics, are difficult to determine, a problem greatly exacerbated at the distances ≥2 kpc of ALMA-IMF protoclusters. Aims. We combined new datasets and radiative transfer modeling to characterize these cores. We estimated their mass-averaged temperature and the masses these estimates imply. For one-sixth of the sample, we measured the bolometric luminosities, implementing deblending corrections when necessary. Methods. We used spectral energy distribution (SED) analysis obtained with the point process mapping ( PPMAP ) Bayesian procedure, which aims to preserve the best angular resolution of the input data. We extrapolated the luminosity and dust temperature images provided by PPMAP at 2.5″ resolution to estimate those of individual cores, which were identified at higher angular resolution. To do this, we applied approximate radiative transfer relationships between the luminosity of a protostar and the temperature of its surrounding envelope and between the external heating of prestellar cores and their temperatures. Results. For the first time, we provide data-informed estimates of dust temperatures for 882 cores identified with ALMA-IMF: 17–31 K and 28–79 K (5th and 95th percentiles, up to 127 K) for the 616 prestellar and 266 protostellar cores, respectively. We also measured protostellar luminosities spanning 20–80 000 L ⊙ . Conclusions. Dust temperatures previously estimated from SED-based analyses at a comparatively lower resolution validate our method. For hot cores, on the other hand, we estimated systematically lower temperatures than studies based on complex organic molecules. We established a mass-luminosity evolutionary diagram, for the first time at the core spatial resolution and for a large sample of intermediate- to high-mass protostellar cores. The ALMA-IMF data favor a scenario in which protostars accrete their mass from a larger mass reservoir than their host cores.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2024-12-10
DOI
https://doi.org/10.1051/0004-6361/202451931
Citations
8
Primary Topic
Astrophysics and Star Formation Studies
Type
article
Field-Weighted Citation Impact
2.65
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article

ALMA-IMF

L. Bronfman, M. Bonfand, P. Sanhueza, E. Moraux et al.
8 citations
Astronomy and Astrophysics
Astrophysics and Star Formation Studies
2.65
article

ALMA-IMF

L. Bronfman, M. Bonfand, P. Sanhueza, E. Moraux, N. Cunningham, T. Yoo, T. Nony, N. Kessler, P. Dell’Ova, A. Koley, Adam Ginsburg, M. Valeille-Manet, D. Díaz-González, M. Armante, A. Men’shchikov, A. Gusdorf, N. Brouillet, Fernando A. Olguin, F. Motte, T. Csengeri, R. Galv'an-Madrid, B. Leflóch, N. A. Sandoval-Garrido, Manuel Fernández-López, F. Louvet, Amelia M. Stutz, Y. Pouteau, S. Bontemps, R. H. Álvarez-Gutiérrez, V. Chen, R. Veyry, Hongli Liu, P. Didelon, J. Salinas, Q. Nguyen Luong, F. Herpin, N. Le Nestour
article en
8 citations

Abstract

Context. The ALMA-IMF Large Program imaged 15 massive protoclusters down to a resolution of ~2 kau scales, identifying about 10 3 star-forming cores. The mass and luminosity of these cores, which are fundamental physical characteristics, are difficult to determine, a problem greatly exacerbated at the distances ≥2 kpc of ALMA-IMF protoclusters. Aims. We combined new datasets and radiative transfer modeling to characterize these cores. We estimated their mass-averaged temperature and the masses these estimates imply. For one-sixth of the sample, we measured the bolometric luminosities, implementing deblending corrections when necessary. Methods. We used spectral energy distribution (SED) analysis obtained with the point process mapping ( PPMAP ) Bayesian procedure, which aims to preserve the best angular resolution of the input data. We extrapolated the luminosity and dust temperature images provided by PPMAP at 2.5″ resolution to estimate those of individual cores, which were identified at higher angular resolution. To do this, we applied approximate radiative transfer relationships between the luminosity of a protostar and the temperature of its surrounding envelope and between the external heating of prestellar cores and their temperatures. Results. For the first time, we provide data-informed estimates of dust temperatures for 882 cores identified with ALMA-IMF: 17–31 K and 28–79 K (5th and 95th percentiles, up to 127 K) for the 616 prestellar and 266 protostellar cores, respectively. We also measured protostellar luminosities spanning 20–80 000 L ⊙ . Conclusions. Dust temperatures previously estimated from SED-based analyses at a comparatively lower resolution validate our method. For hot cores, on the other hand, we estimated systematically lower temperatures than studies based on complex organic molecules. We established a mass-luminosity evolutionary diagram, for the first time at the core spatial resolution and for a large sample of intermediate- to high-mass protostellar cores. The ALMA-IMF data favor a scenario in which protostars accrete their mass from a larger mass reservoir than their host cores.

Astronomy and AstrophysicsVol. 694
Institut de Planétologie et d'Astrophysique de Grenoble (FR)
Affordable and clean energy
Openalex Percentile: Top 10%
Astrophysics and Star Formation Studies
2.65
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