Full-sky SZ maps and cluster catalog
收藏DataCite Commons2020-09-04 更新2024-07-27 收录
下载链接:
https://figshare.com/articles/dataset/Full_sky_SZ_maps_and_cluster_catalog/3126946
下载链接
链接失效反馈官方服务:
资源简介:
This page contains full-sky maps of the kinematic and thermal Sunyaev-Zel'dovich signal. The different models are described in detail in our paper (Flender et al 2015, arXiv:1511.02843). We make the following data products available:<br>ksz_mod1_R13.fits - kSZ map, Model Iksz_mod2_R13.fits - kSZ map, Model IIksz_mod3_R13.fits - kSZ map, Model IIItsz150_R13.fits - tSZ map at 150Ghzcatalog_fullsky_zsm1.fits - full-sky halo catalog<br>All maps are provided in the form of full-sky Healpix maps in ring-ordering with nside=8192. The units in all maps are mikro-Kelvin, relative to the average CMB temperature. The halo catalog contains all halos identified with a friends-of-friends halo finder with more than 1000 particles. The catalog is in fits format with the following fits keys (all float, except HALO_ID, which is a long int):<br>RA - right ascension in degreesDEC - declination in degreesM200RED - M200c (defined with respect to the critical density) in units of Msun/hM200 - M200c in units of MsunM500RED - M500c in units of Msun/h (translated from M200RED, using the cM-relation from Bhattacharya et al. (2013))M500 - M500c in units of MsunREDSHIFT - redshift of the haloHALO_ID - identification number of the haloVLOS - comoving peculiar line-of-sight velocity of the halo, in km/sC200 - concentration assigned to the halo based on M200c, following the cM-relation from Bhattacharya et al. (2013)<br>---The Simulation---Our maps were generated from a simulation carried out with HACC (Habib et al. 2016). In this simulation, 3200<sup>3</sup> particles were evolved in a (2.1Gpc)<sup>3</sup> volume, leading to a mass resolution of ~10<sup>10</sup>Msun. The cosmology used is close to the best-fit WMAP-7 parameters. The simulation is part of a large suite of simulations, the so-called Titan-Mira Universe suite. More results from this simulation, including power spectra, mass functions, and concentration-mass relation measurements can be found in Heitmann et al. (2015).<br>---Publications---If you use our maps and catalogs, please cite our paper:Simulations of the Pairwise Kinematic Sunyaev-Zeldovich SignalS. Flender, L. Bleem, H. Finkel, S. Habib, K. Heitmann, G. Holder, arXiv:1511.02843This research used resources of the ALCF, which is supported by DOE/SC under contract DE-AC02-06CH11357 and resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.<br>---More Information---For more information, please contact me via email: samuel dot flender at googlemail.com
本页面包含动理学苏尼亚耶夫-泽尔多维奇(kinematic SZ, kSZ)与热学苏尼亚耶夫-泽尔多维奇(thermal SZ, tSZ)信号的全天域地图。相关不同模型的详细说明已发表于我们的研究论文(Flender等,2015,arXiv:1511.02843)。本次公开提供以下数据产品:
ksz_mod1_R13.fits —— 模型I的kSZ地图;ksz_mod2_R13.fits —— 模型II的kSZ地图;ksz_mod3_R13.fits —— 模型III的kSZ地图;tsz150_R13.fits —— 150GHz频段的tSZ地图;catalog_fullsky_zsm1.fits —— 全天域暗物质晕星表
所有地图均采用Healpix格式的全天域环序文件,分辨率参数nside=8192。所有地图的单位为微开尔文(μK),相对于宇宙微波背景(CMB)的平均温度。
该星表包含所有通过朋友-朋友(friends-of-friends, FoF)暗物质晕发现算法识别出的、包含超过1000个粒子的暗物质晕。星表采用FITS格式,包含以下关键字段(除HALO_ID为长整型外,其余字段均为浮点型):
RA —— 赤经,单位为度;DEC —— 赤纬,单位为度;M200RED —— 以临界密度定义的M200c,单位为M☉/h;M200 —— 以临界密度定义的M200c,单位为M☉;M500RED —— 以临界密度定义的M500c,单位为M☉/h(由M200RED通过Bhattacharya等(2013)提出的浓度-质量(cM)关系转换得到);M500 —— 以临界密度定义的M500c,单位为M☉;REDSHIFT —— 暗物质晕的红移;HALO_ID —— 暗物质晕的识别编号;VLOS —— 暗物质晕的共动视线方向特殊速度,单位为km/s;C200 —— 根据M200c,基于Bhattacharya等(2013)的浓度-质量关系赋予暗物质晕的浓度参数。
---模拟概况---
本数据集的地图由HACC模拟(Habib等,2016)生成。该模拟在体积为(2.1Gpc)³的计算域内演化了3200³个粒子,对应的质量分辨率约为10¹⁰M☉。模拟采用的宇宙学参数接近威尔金森微波各向异性探测器(WMAP)-7的最佳拟合结果。该模拟属于大型模拟套件“Titan-Mira Universe”的一部分。关于该模拟的更多研究结果,包括功率谱、质量函数以及浓度-质量关系测量结果,可参考Heitmann等(2015)的论文。
---引用说明---
若您使用本数据集的地图与星表,请引用如下论文:
《成对动理学苏尼亚耶夫-泽尔多维奇信号的数值模拟》(Simulations of the Pairwise Kinematic Sunyaev-Zeldovich Signal)
作者:S. Flender, L. Bleem, H. Finkel, S. Habib, K. Heitmann, G. Holder,arXiv:1511.02843
本研究使用了阿尔贡领导力计算设施(ALCF)的计算资源,该设施由美国能源部科学局(DOE/SC)根据合同DE-AC02-06CH11357资助;同时使用了国家能源研究科学计算中心(NERSC)的资源,该中心是美国能源部科学局下属的用户设施,由合同DE-AC02-05CH11231资助。
---更多信息---
如需获取更多信息,请通过邮箱联系我:samuel.flender@googlemail.com
提供机构:
figshare
创建时间:
2016-03-29



