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56f63084d6 doc:
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d9db6e317c doc: more
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02398827b4 doc: fix format
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340c57452d doc: more info in readme
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This repo has library code for evaluating dipole models.
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](https://gitea.deepak.science/physics/deepdog): performs Monte Carlo simulations with two underlying algorithm options for direct MC and subset simulation
- [kalpaa](https://gitea.deepak.science/physics/kalpa): high level wrapper for pdme, deepdog and tantri, implementing retry logic, data transformation and summarising. the place to start to actually run analyses
- [tantri](https://gitea.deepak.science/physics/tantri): generates mock telegraph noise and utility functions for binning and transforming measured or simulated power spectral densities (PSDs)
- [dreader](https://gitea.deepak.science/physics/dreader): utility library for parsing output files
## Getting started