English

Cross-correlation of cosmic voids with thermal Sunyaev-Zel'dovich data

Cosmology and Nongalactic Astrophysics 2023-11-03 v1 Astrophysics of Galaxies

Abstract

We provide a measurement of the deficit in the Sunyaev-Zel'dovich Compton-yy signal towards cosmic voids, by stacking a catalogue of 97,090 voids constructed with BOSS-DR12 data, on the yy maps built on data from the Atacama Cosmology Telescope (ACT) DR4 and the Planck satellite. We detect the void signal with a significance of 7.3σ7.3\,\sigma with ACT and 9.7σ9.7\,\sigma with Planck, obtaining agreements in the associated void radial yy profiles extracted from both maps. The inner-void profile (for angular separations within the void angular radius) is reconstructed with significances of 4.7σ4.7\sigma and 6.1σ6.1\sigma with ACT and Planck, respectively; we model such profile using a simple model that assumes uniform gas (under)density and temperature, which enables us to place constraints on the product (δvTe)(-\delta_{\rm v}T_{\rm e}) of the void density contrast (negative) and the electron temperature. The best-fit values from the two data sets are (δvTe)=(6.5±2.3)×105K(-\delta_{\rm v}T_{\rm e})=(6.5\pm 2.3)\times 10^{5}\,\text{K} for ACT and (8.6±2.1)×105K(8.6 \pm 2.1)\times 10^{5}\,\text{K} for Planck (68%68\% C.L.), which are in good agreement under uncertainty. The data allow us to place lower limits on the expected void electron temperature at 2.7×105K2.7\times10^5\,\text{K} with ACT and 5.1×105K5.1\times10^5\,\text{K} with Planck (95%95\% C.L.); these results can transform into upper limits for the ratio between the void electron density and the cosmic mean as nev/nˉe0.73n^{\rm v}_{\rm e}/\bar{n}_{\rm e}\leqslant 0.73 and 0.490.49 (95%95\% C.L.), respectively. Our findings prove the feasibility of using tSZ observations to constrain the gas properties inside cosmic voids, and confirm that voids are under-pressured regions compared to their surroundings.

Keywords

Cite

@article{arxiv.2311.00826,
  title  = {Cross-correlation of cosmic voids with thermal Sunyaev-Zel'dovich data},
  author = {Gang Li and Yin-Zhe Ma and Denis Tramonte and Guo-Liang Li},
  journal= {arXiv preprint arXiv:2311.00826},
  year   = {2023}
}

Comments

9 pages, 7 figures