Small-scale signatures of primordial non-Gaussianity in k-Nearest neighbour cumulative distribution functions

IF 4.7 3区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS Monthly Notices of the Royal Astronomical Society Pub Date : 2024-09-13 DOI:10.1093/mnras/stae2108
William R Coulton, Tom Abel, Arka Banerjee
{"title":"Small-scale signatures of primordial non-Gaussianity in k-Nearest neighbour cumulative distribution functions","authors":"William R Coulton, Tom Abel, Arka Banerjee","doi":"10.1093/mnras/stae2108","DOIUrl":null,"url":null,"abstract":"Searches for primordial non-Gaussianity in cosmological perturbations are a key means of revealing novel primordial physics. However, robustly extracting signatures of primordial non-Gaussianity from non-linear scales of the late-time Universe is an open problem. In this paper, we apply k-Nearest Neighbor cumulative distribution functions, kNN-CDFs, to the quijote-png simulations to explore the sensitivity of kNN-CDFs to primordial non-Gaussianity. An interesting result is that for halo samples with Mh < 1014 M⊙ h−1, the kNN-CDFs respond to equilateral PNG in a manner distinct from the other parameters. This persists in the galaxy catalogs in redshift space and can be differentiated from the impact of galaxy modelling, at least within the halo occupation distribution (HOD) framework considered here. kNN-CDFs are related to counts-in-cells and, through mapping a subset of the kNN-CDF measurements into the count-in-cells picture, we show that our results can be modeled analytically. A caveat of the analysis is that we only consider the HOD framework, including assembly bias. It will be interesting to validate these results with other techniques for modeling the galaxy–halo connection, e.g. (hybrid) effective field theory or semi-analytical methods.","PeriodicalId":18930,"journal":{"name":"Monthly Notices of the Royal Astronomical Society","volume":"24 1","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Monthly Notices of the Royal Astronomical Society","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1093/mnras/stae2108","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Searches for primordial non-Gaussianity in cosmological perturbations are a key means of revealing novel primordial physics. However, robustly extracting signatures of primordial non-Gaussianity from non-linear scales of the late-time Universe is an open problem. In this paper, we apply k-Nearest Neighbor cumulative distribution functions, kNN-CDFs, to the quijote-png simulations to explore the sensitivity of kNN-CDFs to primordial non-Gaussianity. An interesting result is that for halo samples with Mh < 1014 M⊙ h−1, the kNN-CDFs respond to equilateral PNG in a manner distinct from the other parameters. This persists in the galaxy catalogs in redshift space and can be differentiated from the impact of galaxy modelling, at least within the halo occupation distribution (HOD) framework considered here. kNN-CDFs are related to counts-in-cells and, through mapping a subset of the kNN-CDF measurements into the count-in-cells picture, we show that our results can be modeled analytically. A caveat of the analysis is that we only consider the HOD framework, including assembly bias. It will be interesting to validate these results with other techniques for modeling the galaxy–halo connection, e.g. (hybrid) effective field theory or semi-analytical methods.
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
k 近邻累积分布函数中原始非高斯性的小尺度特征
在宇宙学扰动中搜索原始非高斯性是揭示新的原始物理学的关键手段。然而,从晚期宇宙的非线性尺度中稳健地提取原始非高斯性特征是一个未决问题。在本文中,我们将k-近邻累积分布函数(kNN-CDFs)应用于quijote-png模拟,探索kNN-CDFs对原始非高斯性的敏感性。一个有趣的结果是,对于 Mh < 1014 M⊙ h-1 的光环样本,kNN-CDFs 对等边 PNG 的响应与其他参数不同。kNN-CDFs与胞中计数有关,通过把kNN-CDF测量结果的一个子集映射到胞中计数图中,我们表明我们的结果可以用分析方法建模。需要注意的是,我们的分析只考虑了 HOD 框架,包括装配偏差。用其他模拟星系-光环联系的技术,如(混合)有效场理论或半分析方法来验证这些结果将是很有意义的。
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
CiteScore
9.10
自引率
37.50%
发文量
3198
审稿时长
3 months
期刊介绍: Monthly Notices of the Royal Astronomical Society is one of the world''s leading primary research journals in astronomy and astrophysics, as well as one of the longest established. It publishes the results of original research in positional and dynamical astronomy, astrophysics, radio astronomy, cosmology, space research and the design of astronomical instruments.
期刊最新文献
Battle of the CH motions: aliphatic versus aromatic contributions to astronomical PAH emission and exploration of the aliphatic, aromatic, and ethynyl CH stretches. Predictive prognostic factors in patients with proximal humeral fracture treated with reverse shoulder arthroplasty. AHKASH: a new Hybrid particle-in-cell code for simulations of astrophysical collisionless plasma. Uncovering Tidal Treasures: Automated Classification of faint tidal features in DECaLS Data CXOU J005245.0-722844: Discovery of a be star / white dwarf binary system in the SMC via a very fast, super-eddington X-ray outburst event
×
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