Petar Kostić, Bojan Arbutina, Branislav Vukotić, Dejan Urošević
{"title":"Supernova remnants in clumpy medium: A model of hydrodynamic and radio synchrotron evolution","authors":"Petar Kostić, Bojan Arbutina, Branislav Vukotić, Dejan Urošević","doi":"arxiv-2409.07905","DOIUrl":null,"url":null,"abstract":"We present an analytical model of $\\Sigma-D$ relation for supernova remnants\n(SNRs) evolving in a clumpy medium. The model and its approximations were\ndeveloped using the hydrodynamic simulations of SNRs in environments of\nlow-density bubbles and clumpy media with different densities and\nvolume-filling factors. For calculation of SNR luminosities we developed the\nsynchrotron emission model, implying the test-particle approximation. The goal\nof this work is to explain the flattened part of $\\Sigma-D$ relation for\nGalactic SNRs at $D\\approx14-50$ pc. Our model shows that the shock collision\nwith the clumpy medium initially enhances the brightness of individual SNRs,\nwhich is followed by a steeper fall of their $\\Sigma-D$ curve. We used the\nanalytical model to generate large SNR samples on $\\Sigma-D$ plane, within a\nspan of different densities and distances to clumpy medium, keeping the\nobserved distribution of diameters. After comparison with the Galactic sample,\nwe conclude that the observed $\\Sigma-D$ flattening and scatter originates in\nsporadic emission jumps of individual SNRs while colliding with the dense\nclumps. Statistically, the significant impact of the clumps starts at diameters\nof $\\approx14$ pc, up to $\\sim70$ pc, with the average density jump at clumpy\nmedium of $\\sim2-20$ times, roughly depending on the low density of\ncircumstellar region. However, additional analysis considering the selection\neffects is needed, as well as the improvement of the model, considering\nradiation losses and thermal conduction.","PeriodicalId":501343,"journal":{"name":"arXiv - PHYS - High Energy Astrophysical Phenomena","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - High Energy Astrophysical Phenomena","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present an analytical model of $\Sigma-D$ relation for supernova remnants
(SNRs) evolving in a clumpy medium. The model and its approximations were
developed using the hydrodynamic simulations of SNRs in environments of
low-density bubbles and clumpy media with different densities and
volume-filling factors. For calculation of SNR luminosities we developed the
synchrotron emission model, implying the test-particle approximation. The goal
of this work is to explain the flattened part of $\Sigma-D$ relation for
Galactic SNRs at $D\approx14-50$ pc. Our model shows that the shock collision
with the clumpy medium initially enhances the brightness of individual SNRs,
which is followed by a steeper fall of their $\Sigma-D$ curve. We used the
analytical model to generate large SNR samples on $\Sigma-D$ plane, within a
span of different densities and distances to clumpy medium, keeping the
observed distribution of diameters. After comparison with the Galactic sample,
we conclude that the observed $\Sigma-D$ flattening and scatter originates in
sporadic emission jumps of individual SNRs while colliding with the dense
clumps. Statistically, the significant impact of the clumps starts at diameters
of $\approx14$ pc, up to $\sim70$ pc, with the average density jump at clumpy
medium of $\sim2-20$ times, roughly depending on the low density of
circumstellar region. However, additional analysis considering the selection
effects is needed, as well as the improvement of the model, considering
radiation losses and thermal conduction.