Code is not designed for end-users. Shared for reproducability of the results in arXiv:2502.00096. For questions please reach out to: florianmeier256 AT gmail DOT com
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Uncomment the desired function in main.py() to replot a figure from the paper
- The data_prepro() function is there to read the original measurement data and convert it into discrete dates
- The rates_postpro() function is there to extract the tunneling rates
- The times_postpro() function is there to extract the left-right vs right-left waiting times
- All following functions are for creating figures
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Further comments
- main.py
- data_loader.py contains code for reading measurement files
- data_converter.py contains code for pre-processing the measurement data
- num_stat.py contains code for analyzing jump statistics
- reflecto_pwr.py contains code for determining dissipation of the rf method
- theory_model.py contains code for modelling the ME model
- visualizations.py contains code for plotting the paper figures
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The measurement data has been taken by Vivek Wadhia under supervision of Federico Fedele
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The code for the data analysis and visualization has been written by Florian Meier, based on the algorithm from David Craig
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The code in data_converter.py for identifying states and counting LR vs RL cycles is based on David Craig's PhD thesis, DOI:10.5287/ora-nbx0jzppy and shared here with his kind permission
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The code in reflecto_pwr.py has been developed by Vivek Wadhia