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| node.results["ds_fit"], fit_results = fit_raw_data(node.results["ds_raw"], node) | ||
| node.results["fit_results"] = {k: {kk: vv for kk, vv in v.items() if kk != "_diag"} for k, v in fit_results.items()} | ||
| node.namespace["_fit_results_full"] = fit_results | ||
| log_fitted_results(node.results["fit_results"], log_callable=node.log) |
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I thought that for each detuning we would plot the IQ clouds, fit a GMM or Barthel type model, and calculate the readout visibility / SNR - or does this happen in a different node?
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Thought that was the fixed detuning version? Wasn't sweep detuning should just be to find the right detuning value?
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