Prior Flow: A global analysis technique using copulas to model Bayesian priors

Based on "A global analysis strategy to resolve neutrino NSI degeneracies with scattering and oscillation data" by Dutta, Lang, Liao, Sinha, Strigari, Thompson. (https://arxiv.org/abs/2002.03066). This repository is meant to provide pedagogical material to supplement the paper.

Here I will provide a simple, canned example as well as a simplified fragment of the real analysis done in 2002.03066.

File descriptions

• example.py : An canned example with pseudodata to explore the prior-flow method with copulas.
• runMultinestCoherent.py
• runMultinestDUNE.py
• copula.py
• /multinest/ : Storage of multinest output data
• /pyCEvNS/ : A working version of ikaros' pyCEvNS modules for neutrino scattering, oscillations, and NSI physics
• /plots/ : Store your plots here

"Prior-flow"

Copulas

A simple example

Applying the prior flow to combine CEvNS and Oscillation data with COHERENT and DUNE