Modeling of Rotation of Dense Nuclei Using the LOC Package

The study of the structure of dense nuclei associated with star-forming regions is necessary for understanding the evolution of objects of this kind. One of the methods to study the physical parameters of the observed objects is to fit model spectral maps to the observed ones in order to find the optimal parameterizations of the source using various minimization methods. Previously, we used a spherically symmetric model that does not estimate the possible rotation of the objects under study. In this paper we describe the parameterizations of rotation and compression of objects using a LOC model to refine the previously obtained physical parameters. The algorithm was successfully applied to objects G328.567-00.535, G335.586-00.289 and L1287.

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Published
2025-01-01
DOI
https://doi.org/10.15826/b978-5-7996-3986-0.18
Primary Topic
Astrophysics and Star Formation Studies
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article
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article

Modeling of Rotation of Dense Nuclei Using the LOC Package

P. M. Zemlyanukha, E. M. Dombek
Astrophysics and Star Formation Studies
article

Modeling of Rotation of Dense Nuclei Using the LOC Package

P. M. Zemlyanukha, E. M. Dombek
article en

Abstract

The study of the structure of dense nuclei associated with star-forming regions is necessary for understanding the evolution of objects of this kind. One of the methods to study the physical parameters of the observed objects is to fit model spectral maps to the observed ones in order to find the optimal parameterizations of the source using various minimization methods. Previously, we used a spherically symmetric model that does not estimate the possible rotation of the objects under study. In this paper we describe the parameterizations of rotation and compression of objects using a LOC model to refine the previously obtained physical parameters. The algorithm was successfully applied to objects G328.567-00.535, G335.586-00.289 and L1287.

Russian Academy of Sciences (RU)
Openalex Percentile: Top 87%
Astrophysics and Star Formation Studies
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