The study of the stars in the Big Data era
The problem of correlating theoretical models with the observed electromagnetic spectra in massive stars is addressed in the context of the large volume of astronomical information currently available. The characteristics of the stellar atmosphere codes and the process of modeling and fitting to the...
| Authors: | , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2023 |
| Country: | México |
| Institution: | UNIVERSIDAD AUTÓNOMA DEL ESTADO DE MÉXICO |
| Repository: | CIENCIA ergo-sum |
| Language: | Spanish |
| OAI Identifier: | oai:ojs.hemeroteca.uaemex.mx:article/18108 |
| Online Access: | https://cienciaergosum.uaemex.mx/article/view/18108 |
| Access Level: | Open access |
| Summary: | The problem of correlating theoretical models with the observed electromagnetic spectra in massive stars is addressed in the context of the large volume of astronomical information currently available. The characteristics of the stellar atmosphere codes and the process of modeling and fitting to the observed stellar spectrum are analyzed, as well as the computational resources that are consumed in such a process, as well as the problem of models discarded or stored in an unstructured way. It is concluded that in the 21st century the way of carrying out astronomical research has changed radically by incorporating the Big Data approach and virtual observatories. |
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