Phase 2: actual temperatures

[ipendlet]

Phase 2:
well by well temperature based on precalibrated value (easy)
Phase 3:
Use thermal map of each experiment to create run unique value (hard)

[ipendlet]

This work is now being undertaken by francis motta. The dataset used for the training of this run was contained https://drive.google.com/drive/folders/1Z6upl58y8OoS2fcOqT39wIfViF9Be7Ka

Francis working on a gaussian fit with error (new module)

[ipendlet]

From @francismotta

Take a look at the following repo:

https://gitlab.sd2e.org/fmotta/perovskite-temperature-calibration

Links from this are copied here for incoporation into the capture and report code.

The output column is iso_70105lininterp_rxn_actual_temp currently, with the prefix referencing the model used to calibrate. It is trival to remove this and instead use _rxn_actual_temp if you prefer. Let me know if you have any questions, concerns or thoughts!
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To rerun to produce the sample output data, issue the folowing command from the top-level directory.
$ python temp_calibration.py models/iso_70105lininterp.pkl data/2019-04-04_PerovskiteDataSample.csv data/2019-04-04_PerovskiteDataSample_actual_temp.csv
If you want this to be an pip-installable module, I'll have to create a setup file; this can definitely be done, just let me know.