Mapping Dark Matter Signals
ISEF · 2021 Physics and Astronomy
Overview
Little is known about dark matter, which is the matter we cannot see, although it comprises up to 85% of the mass of the universe. Fortunately, today it is hypothesized that dark matter is a type of elementary particle which has the ability of annihilation: where particles annihilate to produce gamma-ray photons, a detectable source of light. The purpose of the project is to map those dark matter photons in a catalog of galactic halo masses, which in theory, is found by squaring the halo mass and also, a map of other astrophysical background signals. With creating these simulated maps, the goal was to differentiate the two maps, testing the validity of the dark matter signal. This project concluded that the two maps that were produced from a catalog of halo masses in the sky showed a clear statistical difference, thus, supporting the hypothesis that this indirect method to find signals is valid. With a valid map of signals from dark matter annihilations, such telescopes that scan for gamma-ray photons in the sky could detect the photons from actual dark matter by using the statistical properties of the dark matter signals from the project.
Competition history
- ISEF 2021
Resources
Related projects
ISEF · 2023
Simulating the Dynamics, Collisions, and Morphology of Galactic Ultralight Dark Matter Haloes
ISEF · 2019
Chance of Non-Nucleated Light Source Superposition on Ultra-Diffuse Galaxy Centers
ISEF · 2026
Curriculum Learning-Based Detection and Analysis of Dark Matter via Strong Gravitational Lensing
ISEF · 2025
Modeling Gravitational Wave and Dark Matter Signals With Autoregressive Time Series and Fourier Analyses
Closest projects by meaning, across every fair and year in the corpus.
Source: Regeneron International Science and Engineering Fair