Examining a New Method for the Discovery of Hypothetical Exotic Particles
AJAS · 2017 Physics and Astronomy (inferred)
Overview
This research seeks to explore a new method for the discovery of new hypothetical particles. Studying data collected from collisions of particles at high energies offer the possibility to discover new states of matter, which could help scientist map the fundamental nature of the universe. The Large Hadron Collider, at CERN in Geneva, currently has the highest energy available, colliding protons at 13 TeV (teraelectronvolts). It produces tens of petabytes of data every year and physicists are combining through this data searching for possible evidence of new particles. In many cases, however, these new exotic particles may be invisible to the detectors that capture the particle collisions. Agashe et al (Phys. Rev. D88 2013 5, 057701) have proposed a novel method to investigate for these nearly imperceptible particles, by analyzing the energy peaks from other easily detectable particles. The data is produced using MadGraph5_aMC@NLO, a program that randomly generates an event from the Large Hardon Collider, and its different energy levels are analyzed through ROOT, a data analysis tool from CERN.
Competition history
- AJAS 2017
Related projects
ISEF · 2022
The Search for Dark Matter Through Soft Unclustered Energy Patterns at CMS
AJAS · 2025
Searching for Dark Photon Production in Simulated Proton-Proton Collisions
CSEF · 2026
Accelerating LHC Exotic Physics Discovery via Optimal Transport Flow Matching Calorimeter Simulation
ISEF · 2026
A Novel Analytical Model for Identification O1 Strange Quarks via Relativistic Ultra Fast Timing Method
JSHS · 2022
The Search for Dark Matter Through Soft Unclustered Energy Patterns at CMS
ISEF · 2025
The Cohesiveness of Particle Collisions: Markovian Analysis of Proton Collision Patterns in Particle Physics
AJAS · 2022
Computers can analyze complex subatomic particle data using neural networks
CSEF · 2008
Gauging Black Hole Behavior: Modeling AdS/CFT Correspondence through a Particle Accelerator
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: AAAS Annual Meeting (Confex) / American Junior Academy of Science