Exploring the Properties and Detection Methods of Dark Matter

We review theoretical candidates for dark matter (DM), summarize observational constraints, and present a theoretical study that modifies the gravitational acceleration profile by introducing a phenomenological coupling parameter — the Shashank Constant — which parametrizes a hypothetical additional dark-sector interaction at galactic scales. Using analytic halo models (NFW and cored isothermal) we derive modified rotation curves and show how the Shashank Constant affects inner-rotation profiles. We provide Python code to reproduce the plots and compute constraints from mock rotation-curve data. We discuss implications for direct/indirect detection and suggest future theoretical and observational tests.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17244555
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Properties and Detection Methods of Dark Matter

Zenodo (CERN European Organization for Nuclear Research)
Chaos-based Image/Signal Encryption
article

Exploring the Properties and Detection Methods of Dark Matter

article en

Abstract

We review theoretical candidates for dark matter (DM), summarize observational constraints, and present a theoretical study that modifies the gravitational acceleration profile by introducing a phenomenological coupling parameter — the Shashank Constant — which parametrizes a hypothetical additional dark-sector interaction at galactic scales. Using analytic halo models (NFW and cored isothermal) we derive modified rotation curves and show how the Shashank Constant affects inner-rotation profiles. We provide Python code to reproduce the plots and compute constraints from mock rotation-curve data. We discuss implications for direct/indirect detection and suggest future theoretical and observational tests.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 44%
Chaos-based Image/Signal Encryption
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