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Analysis

  1. Data Summary
  2. Experimental Code (@CERN)
  3. Experimental Code (@after)
  4. Theory

Samples

  1. Diamond
  2. Alignment

DAQ

  1. Remote Monitoring

Learning Material

  1. Configure your machine
  2. Learn Unix shell
  3. Learn CPP
  4. Install and Learn ROOT
  5. Compiling ROOT Example
  6. Using Root for analysis
    1. BL4S 2014 Wiki
    2. Analyse-2014
  7. GEANT
  8. New ROOT + TCutg

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Data Summary

Ntuples

  1. Download the ntuple from AFS using the "daquser" account on lxplus.cern.ch at this location /afs/cern.ch/work/d/daquser/public/bl4sresults/root/

Use the secure (encrypted) protocol of

  1. ssh <user>@machine - for remote login
  2. scp <user_1>@machine_1:path <user_2>@machine_2:path - for transfer between accounts (e.g. daquser to your own
  3. you can google these commands to learn them.

Quick start .... from a terminal or shell

  1. ssh daquser@lxplus.cern.ch and then
  2. cd /afs/cern.ch/work/d/daquser/public/bl4sresults/root/ to view and browse the data directory
  3. scp daquser@lxplus.cern.ch:/afs/cern.ch/work/d/daquser/public/bl4sresults/root/<path to data file of interest> . to transfer the file to the current directory on your machine
  4. scp daquser@lxplus.cern.ch:/afs/cern.ch/work/d/daquser/public/bl4sresults/root/<path to data file of interest> <local path> to transfer the file to the specific path on your machine.

Analyse File for the early data (ntuple structure still the same as the 2014 data)

  1. Download the cpp source file Analyse2014.cpp with this MyClass2014.h

DATA Locations

The raw data files have a small description in their name.(eg. magnet currents)

  1. The raw data from the DAQ lands in this path: /afs/cern.ch/project/bl4s/rawdata/
  2. nTuples are in this path: /afs/cern.ch/work/d/daquser/public/bl4sresults/root/

Notes on Analysis

  1. Use the variables "dwc0valid, dwc0valid, dwc0valid" to be true to remove the spike at 0, rather than the condition "dwc0y_abs != 0, dwc1y_abs != 0, dwc2y_abs != 0"
  2. The average rate of the data acquisition in each spill is R = n / S
    1. n = number of triggers or the number of events in a counter like the scintillator or the Cherenkov
    2. S = number successful spills. Get this from the N_Spill leaf, and see exactly where the histogram ends by placing the mouse cross hair there when you have enabled the Status Bar in the T_Browser for that nTuple.
  3. When you want to plot two spectra on the same graph ... first normalise them each to the same integral number of events

DWC Analysis Code

DWC mean analysis code ready. Last night's data has been processed. ntuple (1442342994)

Illustration

      (v for veto)

     mean0x = -0.00300583   mean0y = -0.0022702 
     mean1x = -0.000833015   mean1y = -0.010748
     mean2x = 0.00141993   mean2y = -0.0128239

     mean0xveto = -0.00146477   mean0yveto = -0.00142175
     mean1xveto = -0.00019545   mean1yveto = -0.00842803
     mean2xveto = 0.0025594   mean2yveto = -0.0098078

     mean0xBGO = -5.38453e-05   mean0yBGO = -0.00200817
     mean1xBGO = -0.00120515   mean1yBGO = -0.0108256
     mean2xBGO = -0.0014884   mean2yBGO = -0.0130363

Done 1442342994complete.root.​

Correlation of theta_x1, of theta_x2 and of delta theta_x, theta_y ... Conclusion of many similar plots .... all DWCs are working very well

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Page last modified on September 18, 2015, at 10:05 am