< Finer points about fit components | Index | How to hack GUI windows >
- Load the run suite in the desired order, say fro low T to high T
- plot the first run, whatever fit and range
- execute the following commands from the matlab command window
- global MU_DATA
- time = MU_DATA.TIME;
- asymm = MU_DATA.ASYMMETRY;
- asyme = MU_DATA.ASYMERROR;
- load next run (repeat until complete)
- plot and execute the following commands
- global MU_DATA
- asymm = [asymm; MU_DATA.ASYMMETRY];
- asyme = [asyme; MU_DATA.ASYMERROR];
- when complete execute save, e.g.
- save('/home/roberto.derenzi/mulab/projects/MST/run_06_22/gps/Mn86Sb2Te4/MST86ZF.mat','time','asymm','asyme')
- the arrays can be reloaded in matlab, by load, or in python by
- from scipy.io import loadmat
- data = loadmat('/home/roberto.derenzi/mulab/projects/MST/run_06_22/gps/Mn86Sb2Te4/MST86ZF.mat')
- time = data['time'][0]
- asymm = data['asymm']
- asyme = data['asyme']
< Finer points about fit components | Index | How to hack GUI windows >
