On the virialization threshold for halo mass functions

Ronaldo C. Batista
{"title":"On the virialization threshold for halo mass functions","authors":"Ronaldo C. Batista","doi":"arxiv-2409.03895","DOIUrl":null,"url":null,"abstract":"In a recent study by Euclid collaboration, the halo mass function (HMF) has\nbeen fitted with accuracy better than $1\\%$ for the $\\Lambda$CDM model. Several\nparameters were introduced and fitted against N-body simulations, assuming the\nusual linearly extrapolated matter density contrast at the collapse time,\n$\\delta_c$, as a basic threshold for halo formation. As a result, a new\nfunction that multiplies $\\delta_c$ was introduced, producing an effective\nthreshold that varies both with redshift and mass scale. We show that the\nredshift evolution of this effective threshold is similar to the one of the\nlinear extrapolated matter density contrast at the virialization time,\n$\\delta_{\\rm v}$. Assuming the Euclid HMF as a fiducial model, we refit the\nSheth-Tormen (ST) HMF using $\\delta_{\\rm v}$ as a threshold. This new fit\nimproves the agreement between ST-HMF and the Euclid one with respect to\nDespali et al. (2016) fit, specially at high masses. Interestingly, the\nparameters $a$ and $p$ in this refit have values closer to the Press-Schechter\nlimit of the ST-HMF, showing that the use of $\\delta_{\\rm v}$ can provide\nsemi-analytical HMF less dependent on extra parameters. Moreover, we analyze\nthe consistency of the ST-HMF fitted with $\\delta_{\\rm v}$ in smooth dark\nenergy models with time-varying equation of state, finding an overall good\nagreement with the evolution of halo abundances expected from the linear\nevolution of perturbations and the Euclid HMF extrapolated to these scenarios.\nThese findings suggest that the use $\\delta_{\\rm v}$ as a basic function to\ndescribe the threshold for halo formation can be a good guide when considering\nextrapolations for models beyond $\\Lambda$CDM, which are typically harder to\nstudy in simulations.","PeriodicalId":501207,"journal":{"name":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.03895","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

In a recent study by Euclid collaboration, the halo mass function (HMF) has been fitted with accuracy better than $1\%$ for the $\Lambda$CDM model. Several parameters were introduced and fitted against N-body simulations, assuming the usual linearly extrapolated matter density contrast at the collapse time, $\delta_c$, as a basic threshold for halo formation. As a result, a new function that multiplies $\delta_c$ was introduced, producing an effective threshold that varies both with redshift and mass scale. We show that the redshift evolution of this effective threshold is similar to the one of the linear extrapolated matter density contrast at the virialization time, $\delta_{\rm v}$. Assuming the Euclid HMF as a fiducial model, we refit the Sheth-Tormen (ST) HMF using $\delta_{\rm v}$ as a threshold. This new fit improves the agreement between ST-HMF and the Euclid one with respect to Despali et al. (2016) fit, specially at high masses. Interestingly, the parameters $a$ and $p$ in this refit have values closer to the Press-Schechter limit of the ST-HMF, showing that the use of $\delta_{\rm v}$ can provide semi-analytical HMF less dependent on extra parameters. Moreover, we analyze the consistency of the ST-HMF fitted with $\delta_{\rm v}$ in smooth dark energy models with time-varying equation of state, finding an overall good agreement with the evolution of halo abundances expected from the linear evolution of perturbations and the Euclid HMF extrapolated to these scenarios. These findings suggest that the use $\delta_{\rm v}$ as a basic function to describe the threshold for halo formation can be a good guide when considering extrapolations for models beyond $\Lambda$CDM, which are typically harder to study in simulations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
关于光环质量函数的病毒化阈值
在欧几里得(Euclid)合作组织最近的一项研究中,对$\Lambda$CDM模型的光环质量函数(HMF)进行了拟合,拟合精度优于$1\%$。在假定坍缩时间的线性外推物质密度对比$\delta_c$是光环形成的基本阈值的情况下,引入了几个参数并与N-体模拟进行了拟合。结果,引入了一个乘以 $\delta_c$ 的新函数,产生了一个随红移和质量尺度变化的有效阈值。我们证明,这个有效阈值的红移演化与病毒化时间的线性外推物质密度对比($\delta_{\rm v}$)相似。假定欧几里得HMF是一个基准模型,我们用$\delta_{\rm v}$作为阈值来重新拟合谢思-托门(ST)HMF。与Despali等人(2016)的拟合相比,这种新的拟合改进了ST-HMF和Euclid模型之间的一致性,特别是在高质时。有趣的是,这种拟合中的参数$a$和$p$的值更接近ST-HMF的Press-Schechter临界值,这表明使用$\delta_{\rm v}$可以提供对额外参数依赖较少的半解析HMF。此外,我们还分析了在具有时变状态方程的平滑暗能量模型中使用$\delta_{\rm v}$拟合的ST-HMF的一致性,发现它与从扰动的线性演化和欧几里得HMF外推到这些情景中所预期的光环丰度演化总体上吻合得很好。这些发现表明,当考虑对$\Lambda$CDM以外的模型进行外推时,使用$\delta_{\rm v}$作为描述光环形成阈值的基本函数是一个很好的指南,因为这些模型通常在模拟中更难研究。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Weak Lensing analysis of Abell 2390 using short exposures Optimizing Redshift Distribution Inference through Joint Self-Calibration and Clustering-Redshift Synergy Reionization relics in the cross-correlation between the Ly$α$ forest and 21 cm intensity mapping in the post-reionization era The Low-Redshift Lyman Continuum Survey: The Roles of Stellar Feedback and ISM Geometry in LyC Escape First confirmation of anisotropic bias from statistically anisotropic matter distributions
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1