The Effect of AGN and SNe Feedback on Star Formation, Reionization and the Near Infrared Background

Lei Wang, J. Mao, S. Xiang, Ye-Fei Yuan
{"title":"The Effect of AGN and SNe Feedback on Star Formation, Reionization and the Near Infrared Background","authors":"Lei Wang, J. Mao, S. Xiang, Ye-Fei Yuan","doi":"10.1088/1009-9271/8/6/02","DOIUrl":null,"url":null,"abstract":"Feedback from supernovae (SNe) and from active galactic nuclei (AGN) accompanies the history of star formation and galaxy evolution. We present an analytic model to explain how and when the SNe and AGN exert their feedback effects oil the star formation and galaxy evolution processes. By using SNe and AGN kinetic feedback mechanisms based on the Lambda Cold Dark Matter (LCDM) model, we explore how these feedback mechanisms affect the star formation history (SFH), the Near-Infrared Background (NIRB) flux and the cosmological reionization. We find the values of the feedback strengths, epsilon(AGN) = 1.0(-0.3)(+0.5) and epsilon(SN) = 0.04(-0.02)(+0.02), can provide a reasonable explanation of most of the observational re sults, and that the AGN feedback effect on star formation history is quite different from the SNe feedback at high redshifts. Our conclusions manifest quantitatively that these feedback effects decrease star formation rate density (SFRD) and the NIRB flux (in 1.4 - 4.0 mu m), and postpone the time of completion of the cosmological reionization.","PeriodicalId":124495,"journal":{"name":"Chinese Journal of Astronomy and Astrophysics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Astronomy and Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1009-9271/8/6/02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Feedback from supernovae (SNe) and from active galactic nuclei (AGN) accompanies the history of star formation and galaxy evolution. We present an analytic model to explain how and when the SNe and AGN exert their feedback effects oil the star formation and galaxy evolution processes. By using SNe and AGN kinetic feedback mechanisms based on the Lambda Cold Dark Matter (LCDM) model, we explore how these feedback mechanisms affect the star formation history (SFH), the Near-Infrared Background (NIRB) flux and the cosmological reionization. We find the values of the feedback strengths, epsilon(AGN) = 1.0(-0.3)(+0.5) and epsilon(SN) = 0.04(-0.02)(+0.02), can provide a reasonable explanation of most of the observational re sults, and that the AGN feedback effect on star formation history is quite different from the SNe feedback at high redshifts. Our conclusions manifest quantitatively that these feedback effects decrease star formation rate density (SFRD) and the NIRB flux (in 1.4 - 4.0 mu m), and postpone the time of completion of the cosmological reionization.
AGN和SNe反馈对恒星形成、再电离和近红外背景的影响
来自超新星(SNe)和活动星系核(AGN)的反馈伴随着恒星形成和星系演化的历史。我们提出了一个分析模型来解释SNe和AGN如何以及何时在恒星形成和星系演化过程中发挥它们的反馈效应。利用基于Lambda冷暗物质(LCDM)模型的SNe和AGN动力学反馈机制,探讨了这些反馈机制对恒星形成历史(SFH)、近红外背景(NIRB)通量和宇宙学再电离的影响。我们发现,反馈强度epsilon(AGN) = 1.0(-0.3)(+0.5)和epsilon(SN) = 0.04(-0.02)(+0.02)的值可以合理地解释大部分观测结果,并且在高红移时,AGN反馈对恒星形成历史的影响与SNe反馈有很大不同。我们的结论定量地表明,这些反馈效应降低了恒星形成速率密度(SFRD)和NIRB通量(1.4 - 4.0 μ m),并推迟了宇宙再电离的完成时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信