The study of the stars in the Big Data era

被引：0
作者：
Klapp, Jaime [1 ]
Fierro-Santillan, Celia Rosa [2 ]
Sigalotti, Leonardo Di G. [3 ]
机构：
[1] Inst Nacl Invest Nucl, La Marquesa, Mexico
[2] Univ Nacl Autonoma Mexico, Cdmx, Mexico
[3] Univ Autonoma Metropolitana Azcapotzalco, Mexico City, Mexico
来源：
CIENCIA ERGO-SUM | 2023年 / 31卷 / 02期
关键词：
stellar atmospheres; spectroscopy; databases; Big Data; BLANKETED MODEL ATMOSPHERES;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
The problem of correlating theoretical models with electromagnetic spectra observed 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 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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页数：1
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