five

RayGalGroupSims_v00001

收藏
DataCite Commons2024-03-28 更新2025-04-09 收录
下载链接:
https://b2share.eudat.eu/records/1523d4a47260496784a5bd2ba45da299
下载链接
链接失效反馈
官方服务:
资源简介:
The RayGalGroupSims suite consists of a set of N-body simulations of different cosmological models, which have been specifically designed to generate high resolution halo catalogs in redshift-space (light-cone) taking into account for all observable relativistic effects to first order in the weak field approximation. To date we have realized a first run for a LCDM scenario with parameters set to the WMAP-7 best-fit cosmological model. The simulation covers a (2625 Mpc/h)3 volume with Np=40963 particles. Full-sky light-cone data (called fullsky_00002 ) in the redshift range z~[0,0.5] are generated during the simulation run without the use of replica. We also produce narrow light-cones such as an intermediate light-cone (called narrow_00002) in the redshift range z~[0, 2] with a rotation of phi = 25deg and theta = 25deg, with a 50×50 deg² f.o.v Halos in the light-cone have been detected with pFoF. Their apparent position in the sky has been computed using a ray-tracing method to account for all relativistic effects (redshift & angular perturbations) at first order in the weak field approximation. These include: Doppler effect, gravitational distortions, transverse Doppler, Integrated Sachs-Wolfe & Rees-Sciama effect, weak lensing effects. The distortion matrix computed using a ray-bundle approach is also provided with the halo catalogs. Technical details about the data format can be found in the README file included in the tarball. Information about the physical mechanisms and the numerical methods used in the generation of the light-cone data catalogs can be found in Breton et al. (2019). If you use these data you could cite this article if you wish: Michel-Andres Breton, Yann Rasera, Atsushi Taruya, Osmin Lacombe, Shohei Saga, “Imprints of relativistic effects on the asymmetry of the halo cross-correlation function: from linear to non-linear scales”, MNRAS, 483, 2671. 2019, doi:10.1093/mnras/sty3206, https://arxiv.org/abs/1803.04294 WARNING: This is version v00001
提供机构:
https://b2share.eudat.eu
创建时间:
2021-08-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作