Spatially Resolved Kinematics of SLACS Lens Galaxies. I: Data and Kinematic Classification

Shawn Knabel, Tommaso Treu, Michele Cappellari, Anowar J. Shajib, Chih-Fan Chen, Vardha N. Bennert
{"title":"Spatially Resolved Kinematics of SLACS Lens Galaxies. I: Data and Kinematic Classification","authors":"Shawn Knabel, Tommaso Treu, Michele Cappellari, Anowar J. Shajib, Chih-Fan Chen, Vardha N. Bennert","doi":"arxiv-2409.10631","DOIUrl":null,"url":null,"abstract":"We obtain spatially resolved kinematics with the Keck Cosmic Web Imager\n(KCWI) integral-field spectrograph for a sample of 14 massive (11 < log10 M* <\n12) lensing early-type galaxies (ETGs) at redshifts z=0.15-0.35 from the Sloan\nLens ACS (SLACS) survey. We integrate within the galaxy effective radius and\nexamine the rotational and dispersion velocities, showing that 11/14 are\nquantitatively classified as slow rotators in comparison with local galaxy\nsurveys. Of key interest is the ability of this data to enable the precision\nrequired for cosmological inference with lensing time delays on scales of 1-2%\nuncertainty. The dataset is unprecedented for galaxy-scale lens galaxies, in\nterms of signal-to-noise ratio, sampling, and calibration. We test sources of\nsystematic error and identify primary contributions from choice of stellar\ntemplate library and wavelength range of the spectral fit. Systematics are\nquantified at the spatial bin level, resulting in systematic error at 3% and\npositive spatial covariance of 2%. We examine the effects of integration of the\nkinematic maps within circular apertures of different sizes and compare with\nSDSS single-aperture velocity dispersions. The most recent velocity dispersion\nestimates from SDSS spectra are found to be biased by a factor of 5.3% with\nrespect to KCWI data, and to underestimate uncertainties. We examine\ncorrelations between scaling relations and show the correlations to agree with\nprevious SLACS analysis with no statistically significant disagreement. A\nfollow-up paper will present Jeans modeling and discuss the context of these\nobservations within broader studies of galaxy evolution and cosmology.","PeriodicalId":501207,"journal":{"name":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","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-2409.10631","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 obtain spatially resolved kinematics with the Keck Cosmic Web Imager (KCWI) integral-field spectrograph for a sample of 14 massive (11 < log10 M* < 12) lensing early-type galaxies (ETGs) at redshifts z=0.15-0.35 from the Sloan Lens ACS (SLACS) survey. We integrate within the galaxy effective radius and examine the rotational and dispersion velocities, showing that 11/14 are quantitatively classified as slow rotators in comparison with local galaxy surveys. Of key interest is the ability of this data to enable the precision required for cosmological inference with lensing time delays on scales of 1-2% uncertainty. The dataset is unprecedented for galaxy-scale lens galaxies, in terms of signal-to-noise ratio, sampling, and calibration. We test sources of systematic error and identify primary contributions from choice of stellar template library and wavelength range of the spectral fit. Systematics are quantified at the spatial bin level, resulting in systematic error at 3% and positive spatial covariance of 2%. We examine the effects of integration of the kinematic maps within circular apertures of different sizes and compare with SDSS single-aperture velocity dispersions. The most recent velocity dispersion estimates from SDSS spectra are found to be biased by a factor of 5.3% with respect to KCWI data, and to underestimate uncertainties. We examine correlations between scaling relations and show the correlations to agree with previous SLACS analysis with no statistically significant disagreement. A follow-up paper will present Jeans modeling and discuss the context of these observations within broader studies of galaxy evolution and cosmology.
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
SLACS透镜星系的空间分辨运动学。I:数据和运动学分类
我们利用凯克宇宙网成像仪(KCWI)积分场光谱仪获得了空间分辨的运动学数据,样本是来自斯隆透镜ACS(SLACS)巡天观测的红移z=0.15-0.35的14个大质量(11 < log10 M* <12)透镜早期型星系(ETG)。我们在星系有效半径内进行了整合,并对旋转速度和色散速度进行了检验,结果表明,与本地星系调查相比,11/14 被定量地归类为慢旋转星系。最令人感兴趣的是,这些数据能够使宇宙学推断所需的精确度达到 1-2%不确定性尺度的透镜时间延迟。对于星系尺度的透镜星系来说,这个数据集在信噪比、采样和校准方面都是前所未有的。我们测试了系统误差的来源,并确定了恒星模板库的选择和光谱拟合波长范围的主要贡献。系统误差在空间分段水平上进行了量化,结果是系统误差为 3%,正空间协方差为 2%。我们研究了在不同大小的圆形孔径内整合动力学图的影响,并与SDSS单孔径速度频散进行了比较。结果发现,根据SDSS光谱得出的最新速度色散估计值与KCWI数据相比偏差达5.3%,并且低估了不确定性。我们研究了比例关系之间的相关性,结果表明这些相关性与之前的 SLACS 分析结果一致,在统计上没有明显的分歧。后续论文将介绍 Jeans 建模,并讨论这些观测在更广泛的星系演化和宇宙学研究中的背景。
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