| dc.contributor.author |
Dhawalikar, Saee |
en_US |
| dc.contributor.author |
Alam, Shadab |
en_US |
| dc.contributor.author |
Paranjape, Aseem |
en_US |
| dc.contributor.author |
BANERJEE, ARKA |
en_US |
| dc.date.accessioned |
2026-07-20T09:49:43Z |
|
| dc.date.available |
2026-07-20T09:49:43Z |
|
| dc.date.issued |
2026-07 |
en_US |
| dc.identifier.citation |
Journal of Cosmology and Astroparticle Physics, 2026. |
en_US |
| dc.identifier.issn |
1475-7516 |
en_US |
| dc.identifier.uri |
https://doi.org/10.1088/1475-7516/2026/07/028 |
en_US |
| dc.identifier.uri |
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/11376 |
|
| dc.description.abstract |
We present Sahyadri, a suite of cosmological N-body simulations designed to enable precision studies of the low-redshift Universe with next-generation spectroscopic surveys. Sahyadri includes systematic variations of four cosmological parameters around Planck 2018 constraints, with seed-matched initial conditions enabling cosmological parameter derivatives. It is planned to ultimately extend to six parameters. Each simulation evolves 20483 particles in a periodic box of side length 200 h-1 Mpc, yielding a particle mass of mp = 8.1 × 107h-1M⊙ in the fiducial Planck 2018 cosmology. This resolution enables robust identification of dark matter halos down to Mmin = 3.2 × 109h-1M⊙, which represents a factor of ∼25 improvement over the AbacusSummit suite, and is over two orders of magnitude better than the Quijote and Aemulus suites. We estimate that approximately 40% of DESI BGS galaxies at redshift z < 0.15 — roughly 1.6 million objects — reside in halos accessible to Sahyadri but beyond the reach of existing parameter-varying simulation suites. We demonstrate Sahyadri's capabilities through measurements of the matter power spectrum, halo mass function and power spectrum, and beyond 2-point statistics such as the Voronoi volume function and kth nearest neighbour statistics, showing excellent agreement with theoretical predictions and significant sensitivity to Ωm variations. We implement a custom compression scheme reducing storage requirements by a factor of ∼3 while maintaining sub-percent clustering accuracy. Key data products will be made publicly available. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IOP Publishing |
en_US |
| dc.subject |
Physics |
en_US |
| dc.subject |
2026-JUL-WEEK3 |
en_US |
| dc.subject |
TOC-JUL-2026 |
en_US |
| dc.subject |
2026 |
en_US |
| dc.title |
Sahyadri: a simulation suite for the cosmology dependence of the cosmic web |
en_US |
| dc.type |
Article |
en_US |
| dc.contributor.department |
Dept. of Physics |
en_US |
| dc.identifier.sourcetitle |
Journal of Cosmology and Astroparticle Physics |
en_US |
| dc.publication.originofpublisher |
Foreign |
en_US |