⚠️This repository must be on a JLab ifarm node⚠️

Motivations

This repository contains all scripts needed to submit MonteCarlo input output tests, aggregate them into csv files, and analyze those csv's using a python framework to search for signatures of ambiguities within the current Amplitude Analysis models used at GlueX. Its hypothesized that the strength of the m=0 wave and the ratio of reflectivities present heavily influences the range of ambiguous solutions one can have. This can be tested through a series of input-output studies using Monte Carlo (MC) simulated events. The motivation primarily stems from fits to the neutral $b_1$ channel being very stable, as opposed to $\omega\eta$ results that are extremely inconsistent, even though they use the exact same waveset, and the "moment matrix" method tells us they both should be stable.

Setup

To run the scripts, you must have a working version of conda in order to source and start the python environment here. Miniforge or Miniconda are recommended.

To create the environment and activate it, run:

conda env create --file environment.yml
conda activate ambiguities