Ray tracing the integrated Sachs-Wolfe effect through the light cones of the dark energy universe simulation-full universe runs
Ray tracing the integrated Sachs-Wolfe effect through the light cones of the dark energy universe simulation-full universe runs
复制标题
光线追踪通过暗能量宇宙模拟的光锥集成萨克斯-沃尔夫效应——全宇宙运行
DOI:
10.1103/physrevd.101.023512
复制
发表时间:
2020
影响因子:
5
通讯作者:
Adamek J
中科院分区:
文献类型:
--
作者:
Adamek J
The late integrated Sachs-Wolfe (ISW) effect correlates the cosmic microwave background (CMB) temperature anisotropies with foreground cosmic large-scale structures. As the correlation depends crucially on the growth history in the era of dark energy, it is a key observational probe for constraining the cosmological model. Here we present a detailed study based on full-sky and deep light cones generated from very large volume numerical N-body simulations, which allow us to avoid the use of standard replica techniques, while capturing the entirety of the late ISW effect on the large scales. We postprocess the light cones using an accurate ray-tracing method and construct full-sky maps of the ISW temperature anisotropy for three different dark energy models. We quantify in detail the extent to which the ISW effect can be used to discriminate between different dark energy scenarios when cross-correlated with the matter distribution or the CMB lensing potential. We also investigate the onset of nonlinearities, the so-called Rees-Sciama effect which provides a complementary probe of the dark sector. We find the signal of the lensing-lensing and ISW-lensing correlation of the three dark energy models to be consistent with measurements from thePlancksatellite. Future surveys of the large-scale structures may provide cross-correlation measurements that are sufficiently precise to distinguish the signal of these models. Our methodology is very general and can be applied to any dark energy or modified gravity scenario as long as the metric seen by photons can still be characterized by a Weyl potential.
登录
查看更多内容
DOI:
10.1111/j.1365-2966.2012.21896.x
发表时间:
2012-09
影响因子:
4.8
作者:
T. Giannantonio;R. Crittenden;R. Nichol;A. Ross
通讯作者:
T. Giannantonio;R. Crittenden;R. Nichol;A. Ross
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
Y. Rasera;Pier Stefano Corasaniti;J. Alimi;V. Bouillot;V. Reverdy;Irène Balmès
通讯作者:
Irène Balmès
影响因子:
5
作者:
J. Adamek
通讯作者:
J. Adamek
DOI:
--
发表时间:
2007
期刊:
影响因子:
--
作者:
C. Carbone;V. Springel;C. Baccigalupi;M. Bartelmann;S. Matarrese
通讯作者:
S. Matarrese
影响因子:
4.8
作者:
M. Ballardini;D. Paoletti;F. Finelli;L. Moscardini;B. Sartoris;L. Valenziano
通讯作者:
L. Valenziano