pdme - the python dipole model evaluator

This library includes a variety of utility functions for calculating charge noise in qubits from TLSs for the purposes of Bayesian analysis. This was a major part of my PhD thesis on characterizing charge noise. New code here should be mostly low-level numpy calculations or common types that can be shared elsewhere.

Related libraries

Some other libraries I wrote related to this project include:

• deepdog: performs Monte Carlo simulations with two underlying algorithm options for direct MC and subset simulation
• kalpaa: high level wrapper for pdme, deepdog and tantri, implementing retry logic, data transformation and summarising. the place to start to actually run analyses
• tantri: generates mock telegraph noise and utility functions for binning and transforming measured or simulated power spectral densities (PSDs)
• dreader: utility library for parsing output files

Getting started

poetry install to start locally

Commit using Conventional Commits, and when commits are on master, release with doo release.