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Use uproot

• pip install uproot [--upgrade] --user
• the following examples has been worked out for LEM data (using PostPileUp histograms 21-28
  • Download:musuite_root which plots 8 LEM histos with PostPileUp correction (numbers 21-27); save it with extension .py, see also https://uproot.readthedocs.io/en/latest/.
  • Download:muasym_root which plots Left-Right Asymmetry from the LEM histos with PostPileUp correction (numbers 21+25 - 23+27)
• data = uproot.open(filename)
• header = data['RunHeader'].members['fFolders']
• header[0:6] are strings; eg header[0][0][:] is '000 - Version: git-sha: dae9ef0ffba4 -@0', whereas headr[6] contains strings of distinct scaler counts from [6][0][:] to [6][7][:]
• see musrfit/CCO/run-09-24/LEM/underdoped/Analysis/muheader_root.py
  • header[0] is general; header[1] is histo info (t0 and length); [3:5] are cryo, magnet and beamline names; [5] is beamline info, Temperatures [128:132]; [6] is sums
• histoLeftPPC = data['histos'].members["fFolders"][0].members['fFolders'][8].counts()
• histoLeftPPC = data['histos'].members["fFolders"][0].members['fFolders'][8].counts()

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