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.17244556
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Properties and Detection Methods of Dark Matter

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
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 24%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the Properties and Detection Methods of Dark Matter · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS