Kexin Liu, Hong Guo, Sen Wang, Dandan Xu, Shengdong Lu, Weiguang Cui, Romeel Dav'e
{"title":"IllustrisTNG和SIMBA中星际介质角动量的不同影响","authors":"Kexin Liu, Hong Guo, Sen Wang, Dandan Xu, Shengdong Lu, Weiguang Cui, Romeel Dav'e","doi":"arxiv-2409.09379","DOIUrl":null,"url":null,"abstract":"In this study, we examine the role of circumgalactic medium (CGM) angular\nmomentum ($j_{\\rm CGM}$) on star formation in galaxies, whose influence is\ncurrently not well understood. The analysis utilises central galaxies from two\nhydrodynamical simulations, SIMBA and IllustrisTNG. We observe a substantial\ndivergence in how star formation rates correlate with CGM angular momentum\nbetween the two simulations. Specifically, quenched galaxies in IllustrisTNG\nshow high $j_{\\rm CGM}$, while in SIMBA, quenched galaxies have low $j_{\\rm\nCGM}$. This difference is attributed to the distinct active galactic nucleus\n(AGN) feedback mechanisms active in each simulation. Moreover, both simulations\ndemonstrate similar correlations between $j_{\\rm CGM}$ and environmental\nangular momentum ($j_{\\rm Env}$) in star-forming galaxies, but these\ncorrelations change notably when kinetic AGN feedback is present. In\nIllustrisTNG, quenched galaxies consistently show higher $j_{\\rm CGM}$ compared\nto their star-forming counterparts with the same $j_{\\rm Env}$, a trend not\nseen in SIMBA. Examining different AGN feedback models in SIMBA, we further\nconfirm that AGN feedback significantly influences the CGM gas distribution,\nalthough the relationship between the cold gas fraction and the star formation\nrate (SFR) remains largely stable across different feedback scenarios.","PeriodicalId":501187,"journal":{"name":"arXiv - PHYS - Astrophysics of Galaxies","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disparate Effects of Circumgalactic Medium Angular Momentum in IllustrisTNG and SIMBA\",\"authors\":\"Kexin Liu, Hong Guo, Sen Wang, Dandan Xu, Shengdong Lu, Weiguang Cui, Romeel Dav'e\",\"doi\":\"arxiv-2409.09379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we examine the role of circumgalactic medium (CGM) angular\\nmomentum ($j_{\\\\rm CGM}$) on star formation in galaxies, whose influence is\\ncurrently not well understood. The analysis utilises central galaxies from two\\nhydrodynamical simulations, SIMBA and IllustrisTNG. We observe a substantial\\ndivergence in how star formation rates correlate with CGM angular momentum\\nbetween the two simulations. Specifically, quenched galaxies in IllustrisTNG\\nshow high $j_{\\\\rm CGM}$, while in SIMBA, quenched galaxies have low $j_{\\\\rm\\nCGM}$. This difference is attributed to the distinct active galactic nucleus\\n(AGN) feedback mechanisms active in each simulation. Moreover, both simulations\\ndemonstrate similar correlations between $j_{\\\\rm CGM}$ and environmental\\nangular momentum ($j_{\\\\rm Env}$) in star-forming galaxies, but these\\ncorrelations change notably when kinetic AGN feedback is present. In\\nIllustrisTNG, quenched galaxies consistently show higher $j_{\\\\rm CGM}$ compared\\nto their star-forming counterparts with the same $j_{\\\\rm Env}$, a trend not\\nseen in SIMBA. Examining different AGN feedback models in SIMBA, we further\\nconfirm that AGN feedback significantly influences the CGM gas distribution,\\nalthough the relationship between the cold gas fraction and the star formation\\nrate (SFR) remains largely stable across different feedback scenarios.\",\"PeriodicalId\":501187,\"journal\":{\"name\":\"arXiv - PHYS - Astrophysics of Galaxies\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Astrophysics of Galaxies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.09379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Astrophysics of Galaxies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Disparate Effects of Circumgalactic Medium Angular Momentum in IllustrisTNG and SIMBA
In this study, we examine the role of circumgalactic medium (CGM) angular
momentum ($j_{\rm CGM}$) on star formation in galaxies, whose influence is
currently not well understood. The analysis utilises central galaxies from two
hydrodynamical simulations, SIMBA and IllustrisTNG. We observe a substantial
divergence in how star formation rates correlate with CGM angular momentum
between the two simulations. Specifically, quenched galaxies in IllustrisTNG
show high $j_{\rm CGM}$, while in SIMBA, quenched galaxies have low $j_{\rm
CGM}$. This difference is attributed to the distinct active galactic nucleus
(AGN) feedback mechanisms active in each simulation. Moreover, both simulations
demonstrate similar correlations between $j_{\rm CGM}$ and environmental
angular momentum ($j_{\rm Env}$) in star-forming galaxies, but these
correlations change notably when kinetic AGN feedback is present. In
IllustrisTNG, quenched galaxies consistently show higher $j_{\rm CGM}$ compared
to their star-forming counterparts with the same $j_{\rm Env}$, a trend not
seen in SIMBA. Examining different AGN feedback models in SIMBA, we further
confirm that AGN feedback significantly influences the CGM gas distribution,
although the relationship between the cold gas fraction and the star formation
rate (SFR) remains largely stable across different feedback scenarios.