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From the 1 of 11 linked papers with an AI index.

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11 papers

astro-ph.CO2026

Evolution of Neutron Star Environment in the Galactic Halo : Implications for Dark Matter Accretion

Payaswinee Arvikar, Aseem Paranjape, Saee Dhawalikar

Neutron stars (NS) are one of the indirect detection probes for dark matter (DM). The presence of DM is known to affect the observable properties of NS. Theoretical calculations fo…

astro-ph.CO2026

Sahyadri: A simulation suite for the cosmology dependence of the Cosmic Web

Saee Dhawalikar, Shadab Alam, Aseem Paranjape +1

The paper presents Sahyadri, a high‑resolution cosmological N‑body simulation suite that varies key cosmological parameters to enable precise studies of the low‑redshift Universe a…

astro-ph.CO2026

Zel'dovich smearing approximation of the BAO feature for model-agnostic cosmological inference

Aseem Paranjape, Ravi K. Sheth

A model-agnostic description of the baryon acoustic oscillation (BAO) feature in redshift space requires a number of ingredients. Physically, one must describe the impact of cosmol…

astro-ph.CO2026

Impact of fiducial cosmology in model-agnostic cosmological inference with the BAO feature

Aseem Paranjape, Ravi K. Sheth

In recent work, we have developed a model-agnostic framework for cosmological inference using the baryon acoustic oscillation (BAO) feature in redshift space. The framework, which…

astro-ph.CO2026

Conditioning halos on the tidal environment for fast and accurate HI power spectra during reionization

Gaurav Pundir, Tirthankar Roy Choudhury, Aseem Paranjape

Predicting the statistical properties of the neutral hydrogen (HI) density field during reionization is an important step in using upcoming 21 cm observations to constrain models o…

astro-ph.CO2026

Stabilizing simulation-based cosmological Fisher forecasts: a case study using the Voronoi volume function

Saee Dhawalikar, Aseem Paranjape, Shadab Alam

Forecasting cosmological constraints from halo-based statistics often suffers from instability in derivative estimates, especially when the number of simulations is limited. This i…