Work

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

Year: 2025

Type: conference-paper

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.

Source: Physics of Space: All-Russian Student Scientific Conference with International Participation

DOI: 10.15826/b978-5-7996-3986-0.79

Authors: A. A. Farafontova, M. S. Kirsanova, S. V. Salii

Institutions: Russian Academy of Sciences, Institute of Astronomy, Ural Federal University

Language: English

Topic: Astrophysics and Star Formation Studies

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4412585136

FWCI:

Cites: 5

Cited by:

Related to: 10