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The study of the stars in the Big Data era ; El estudio de las estrellas en la era del big data

Klapp, Jaime ; Fierro-Santillán, Celia Rosa ; et al.
In: CIENCIA ergo-sum; Vol. 31 (2024): CIENCIA ergo-sum, 2023
academicJournal

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. ; Se aborda el problema de correlacionar modelos teóricos con espectros electromagnéticos observados en estrellas masivas en el contexto del gran volumen de información astronómica disponible en la actualidad. Se analizan las características de los códigos de atmósferas estelares y el proceso de modelado y ajuste del espectro observado de una estrella, los recursos de cómputo que se consumen en dicho proceso, así como el problema de los modelos desechados o almacenados en forma no estructurada. Se concluye que en el siglo XXI la forma de realizar investigación astronómica ha cambiado radicalmente al incorporar el enfoque big data y los observatorios virtuales.

Titel:
The study of the stars in the Big Data era ; El estudio de las estrellas en la era del big data
Autor/in / Beteiligte Person: Klapp, Jaime ; Fierro-Santillán, Celia Rosa ; Sigalotti, Leonardo Di G.
Link:
Zeitschrift: CIENCIA ergo-sum; Vol. 31 (2024): CIENCIA ergo-sum, 2023
Veröffentlichung: Universidad Autónoma del Estado de México, 2023
Medientyp: academicJournal
DOI: 10.30878/ces.v31n0a36
Sonstiges:
  • Nachgewiesen in: BASE
  • Sprachen: Spanish; Castilian
  • Document Type: article in journal/newspaper
  • File Description: application/pdf
  • Language: Spanish; Castilian
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  • Rights: Derechos de autor 2023 CIENCIA ergo-sum ; http://creativecommons.org/licenses/by-nc-nd/4.0

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