This readme file was generated on 13-12-2022 by Jack Daniel Briscoe

DATASET TITLE: 
Voigt Transmission Window Experiment

PRINCIPAL INVESTIGATOR:
Name: Jack Daniel Briscoe
ORCID: 0000-0002-8878-0528
Institution: Durham University
Address: Physics Department, Durham University, South Road, Durham, DH1 3LE, United Kingdom.
Email: jack.d.briscoe@durham.ac.uk
Funded by: EPSRC (Grant No. EP/R002061/1)

Date of data collection: 01-10-2022 to 01-11-2022 (approximate range)

EXPERIMENT OVERVIEW:
Spectroscopy in Voigt geometry, with large magnetic field B and optically thick medium. For large enough B, a transmission window opens.
Atomic spectra were taken to show evolution of peak trasmission of window at line centre.
3 data sets were taken at constants temperatures T. For each T, there are data for 8 magnetic fields B. For each B, there are 4 repeats,
totalling 96 spectra. 

SOFTWARE USED FOR DATA PROCESSING:
scope2elecsus (data processing): https://github.com/durham-qlm/scope2elecsus
ElecSus (data fitting): https://github.com/durham-qlm/ElecSus


FILE OVERVIEW:
Transmission Window Experiment.ipynb (Jupyter notebook): runs through the data processing method, clearly explained in the notebook
Data (folder): contains data to produce figure 4 of paper (Voigt transmission window experiment)

The data are contained within the data folder.
In the data folder, there are 3 constant T data set folders (labelled by T: approximately T = 131 Degrees, T = 140 Degrees, T = 149 Degrees).

In each T folder are 8 magnetic field folders, labelled B1, B2 etc corresponding to increasing experimental magnetic field. 
There are also RbSplitTXXX.XXBs_2mm.txt and RbSplitTXXX.XXTrans_2mm.txt files used to plot sigmoidal theory curves on the figure.

In each B folder is csv data for 4 repeats. They are named by fitted T and B, and also the number of the repeat (e.g run1, run2 etc). 
There is also a file 'info.txt' which contains the mean T, B and peak transmission (with errors) of each data point on the figure. 
These .txt files can be produced in the Jupyter notebook.

In each .csv file, there are 5 columns: 
Detuning - experimental data, 100,000 points from oscilloscope
Transmission - experimental data, 100,000 points from oscilloscope
Detuning (binned) - Detuning data binned into 400 bins
Transmission (binned) - Transmission data binned into 400 bins
Fit - the open source program ElecSus was used to fit the binned data. The fit tranmission is included in this column (plotted against binned detuning)