Development of A Program for Automatic Identification of Lines in The Spectra of Star Formation Regions

In order to study the chemical composition and physical properties of star-forming regions, one needs to analyze the emission lines of molecules in its spectrum, so the question of identifying molecular lines becomes important. Molecular identification involves comparing observational data with transitions and frequencies in spectroscopic databases. In this work, a computer program was created to automatically find parameters of spectral lines and identify molecules in spectrum. The algorithm was tested on model spectrum calculated in the LTE conditions and on observed spectrum. Dozens of emission lines of molecules in the observed spectrum of a protostar in the RCW 120 region were identified using the program.

Authors

Institutions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.15826/b978-5-7996-3986-0.79
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of A Program for Automatic Identification of Lines in The Spectra of Star Formation Regions

M. S. Kirsanova, S. V. Salii, A. A. Farafontova
Stellar, planetary, and galactic studies
article

Development of A Program for Automatic Identification of Lines in The Spectra of Star Formation Regions

M. S. Kirsanova, S. V. Salii, A. A. Farafontova
article en

Abstract

In order to study the chemical composition and physical properties of star-forming regions, one needs to analyze the emission lines of molecules in its spectrum, so the question of identifying molecular lines becomes important. Molecular identification involves comparing observational data with transitions and frequencies in spectroscopic databases. In this work, a computer program was created to automatically find parameters of spectral lines and identify molecules in spectrum. The algorithm was tested on model spectrum calculated in the LTE conditions and on observed spectrum. Dozens of emission lines of molecules in the observed spectrum of a protostar in the RCW 120 region were identified using the program.

Ural Federal University (RU), Institute of Astronomy (RU), Institute of Applied Astronomy (RU)
Openalex Percentile: Top 87%
Stellar, planetary, and galactic studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.