Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
|
||||
| DOI | 10.3390/GALAXIES11030068 | ||||
| Año | 2023 | ||||
| Tipo | revisión |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Mass loss from massive stars plays a determining role in their evolution through the upper Hertzsprung-Russell diagram. The hydrodynamic theory that describes their steady-state winds is the line-driven wind theory (m-CAK). From this theory, the mass loss rate and the velocity profile of the wind can be derived, and estimating these properly will have a profound impact on quantitative spectroscopy analyses from the spectra of these objects. Currently, the so-called b law, which is an approximation for the fast solution, is widely used instead of m-CAK hydrodynamics, and when the derived value is beta greater than or similar to 1.2, there is no hydrodynamic justification for these values. This review focuses on (1) a detailed topological analysis of the equation of motion (EoM), (2) solving the EoM numerically for all three different (fast and two slow) wind solutions, (3) deriving analytical approximations for the velocity profile via the LambertW function and (4) presenting a discussion of the applicability of the slow solutions.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | CURE-OJEDA, MICHEL | Hombre |
Universidad de Valparaíso - Chile
|
| 2 | ARAYA-ZAMORANO, IGNACIO DANIEL | Hombre |
Universidad Mayor - Chile
|
| Fuente |
|---|
| FONDECYT |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| H2020 Marie Skłodowska-Curie Actions |
| Horizon 2020 Framework Programme |
| European Union's Framework Programme for Research and Innovation Horizon 2020 (2014-2020) under the Marie Sklodowska-Curie grant |
| Agradecimiento |
|---|
| We are grateful for the support from FONDECYT projects 1190485 and 1230131. I.A. also thanks the support from FONDECYT project 11190147. This project has received funding from the European Union's Framework Programme for Research and Innovation Horizon 2020 (2014-2020) under the Marie Sklodowska-Curie Grant Agreement No. 823734. |
| We are grateful for the support from FONDECYT projects 1190485 and 1230131. I.A. also thanks the support from FONDECYT project 11190147. This project has received funding from the European Union’s Framework Programme for Research and Innovation Horizon 2020 (2014–2020) under the Marie Skłodowska-Curie Grant Agreement No. 823734. |