Dark Matter Analysis

Project: Analysis & Dark Matter Physics Simulation for the Dark Photon

Team Members:

Faculty Advisor: Pietro Iapozzuto

First Semester

Milestone Due Date Deliverables
Plan:
  • Create a software program that Analysis Dark Matter Photon searches for the EIC ePIC detector.
January 26
Milestone 1:
  • Learn and understand how to use Mad Graph, HepMC, and ROOT.
  • Read HepMC files.
  • Use ROOT to identify particle id numbers ie 1023 is dark photon candidate as a parent particle and its decays ( children ) and graph physics related quantities ie Momentum of scattered particle
  • Install EiC RECO and Use EIC Geometry, NPSIM to output reconstruction root file.
  • Use ROOT to graph signals of initial proton and electron, the scattered electron and decay products at the madgraph generator level , and compare it to the EIC reconstruction level.
  • Produce EIC visualization using inner detector obtaining dark matter decay product e- e+ tracks.
  • Using HepMC file data, produce a Python or C script that works along with ROOT to produce histograms of scattered electron energy.
  • Create Requirement Document.
  • Create Design Document.
  • Create Test Plan.
 February 23
Milestone 2:
  • Explore 10-20 different invariant masses and have them get run through the simulation pipeline.
  • Visualize the invariant masses to identify most probable dark matter invariant mass, and incorporate the background subtracted.
  • Created Bash scripts to run MadGraph, extract decay values, and run c_tau and output.root across different HepMC files/directories.
  • MadGraph Low Mass Fix.
 March 30
Milestone 3:
  • Complete pseudorapidity, momentum, azimuthal, energy, and past related graphs with updated background subtracted signal of dark matter at the end of EIC pipeline.
  • Streamline the process.
  • Get cross section comparison at generator level, at reconstruction level, Pseudorapidity (Eta), momentum transfer for each invariant mass that is put in pipeline.
  • Produce Visualization of Tracks.
 April 20

Second Semester

Milestone Due Date Deliverables
Plan
  • Understand and replicate a research python notebook detailing Constraining Long-Lived Gauge Bosons at the EIC. The code within this notebook generates generator level cross sections using the Weizsacker-Williams approximation. We want to understand and replicate the findings of the original code to use in a gold and electron collision simulation.
August 31
Milestone 4:
  • Understanding the Weizsacker-Williams approximation codebase
  • Do a gold e- collision analysis in MadGraph and compare it to p e- > p e- xp collision
  • Write a User Manual
  • Testing the Weizsacker-Williams approximation codebase
 September 28
Milestone 5:
  • Test the Weizsacker-Williams approximation codebase
  • Integrate a Machine Learning research paper to develop alongside the Weizsacker-Williams approximation
  • Analyze a gold e- collision at the reconstruction/root level produced from Machine learning generator and approximation codebase
  • Write user manual
 October 26
Milestone 6 November 23