Difference between revisions of "Compton analysis (for experts)"
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At present the mean and statistical error are obtained by reading the .eps file printed by the analyzer. The analyzer, for unknown reasons, does not write these histograms to file. | At present the mean and statistical error are obtained by reading the .eps file printed by the analyzer. The analyzer, for unknown reasons, does not write these histograms to file. | ||
| − | + | * Log onto compton@compton. | |
| − | + | * The code you need is in /home/compton/diana. You may wish to copy it into your directory. | |
=== How to Plot Asymmetry Histories Using the New (CMU/FADC) DAQ === | === How to Plot Asymmetry Histories Using the New (CMU/FADC) DAQ === | ||
Revision as of 13:09, 26 August 2009
Contents
How to Plot Asymmetry Histories Using the Old (Saclay) DAQ
Runs should already have been analyzed. In this method, we are using the semi-integrated asymmetries that the logbook publishes as a plot of two Gaussians (laser right and laser left) with a legend showing the mean and statistical error. Sometimes the fit fails and then this method will fail.
At present the mean and statistical error are obtained by reading the .eps file printed by the analyzer. The analyzer, for unknown reasons, does not write these histograms to file.
- Log onto compton@compton.
- The code you need is in /home/compton/diana. You may wish to copy it into your directory.
How to Plot Asymmetry Histories Using the New (CMU/FADC) DAQ
How to Analyze Data from the New (CMU/FADC) DAQ
CMU Analysis Macros: Troubleshooting Help
CMU Analysis Help
If you have any questions about the CMU analysis, please contact Diana Parno at CMU: dparno AT cmu.edu
