{"title":"Galactic distribution of supernovae and OB associations","authors":"M. Kachelrieß, V. Mikalsen","doi":"10.1016/j.cpc.2025.109537","DOIUrl":null,"url":null,"abstract":"<div><div>We update and extend a previous model by Higdon and Lingenfelter for the longitudinal profile of the N<!--> <!-->II intensity in the Galactic plane. The model is based on four logarithmic spiral arms, to which features like the Local Arm and local sources are added. Connecting then the N<!--> <!-->II to the H<!--> <!-->II emission, we use this model to determine the average spatial distribution of OB associations in the Milky Way. Combined with a stellar mass and cluster distribution function, the model predicts the average spatial and temporal distribution of core-collapse supernovae in the Milky Way. In addition to this average population, we account for supernovae from observed OB associations, providing thereby a more accurate description of the nearby Galaxy. The complete model is made publicly available in the python code <span>SNOB</span>.</div></div><div><h3>Program summary</h3><div><em>Program Title:</em> <span>SNOB<!--> <!-->1.1</span>: Simulating the distribution of SuperNovae and OB associations in the Milky Way.</div><div><em>CPC Library link to program files:</em> <span><span>https://doi.org/10.17632/hz5vbsvy7d.1</span><svg><path></path></svg></span>.</div><div><em>Licensing provisions:</em> CC by NC 3.0.</div><div><em>Programming language:</em> Python 3.8</div><div><em>Nature of problem:</em> Determination of the distribution of OB associations from the observed N<!--> <!-->II line intensity; derivation of the resulting distribution of core-collapse supernovae.</div><div><em>Solution method:</em> Numerical integration of line-of-sight integrals for the N<!--> <!-->II line intensity; Monte Carlo simulation of the spatial and time distribution of OB associations and core-collapse supernovae in the Milky Way.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"311 ","pages":"Article 109537"},"PeriodicalIF":7.2000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Physics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010465525000402","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
We update and extend a previous model by Higdon and Lingenfelter for the longitudinal profile of the N II intensity in the Galactic plane. The model is based on four logarithmic spiral arms, to which features like the Local Arm and local sources are added. Connecting then the N II to the H II emission, we use this model to determine the average spatial distribution of OB associations in the Milky Way. Combined with a stellar mass and cluster distribution function, the model predicts the average spatial and temporal distribution of core-collapse supernovae in the Milky Way. In addition to this average population, we account for supernovae from observed OB associations, providing thereby a more accurate description of the nearby Galaxy. The complete model is made publicly available in the python code SNOB.
Program summary
Program Title:SNOB 1.1: Simulating the distribution of SuperNovae and OB associations in the Milky Way.
CPC Library link to program files:https://doi.org/10.17632/hz5vbsvy7d.1.
Licensing provisions: CC by NC 3.0.
Programming language: Python 3.8
Nature of problem: Determination of the distribution of OB associations from the observed N II line intensity; derivation of the resulting distribution of core-collapse supernovae.
Solution method: Numerical integration of line-of-sight integrals for the N II line intensity; Monte Carlo simulation of the spatial and time distribution of OB associations and core-collapse supernovae in the Milky Way.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.