Difference: RichRun2Performance (3 vs. 4)

Revision 42019-02-18 - MichaelMcCann

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META TOPICPARENT name="LHCbRICH"

RICH Run 2 performance paper

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Calibration Studies of refractive index stability, etc. HPD image movements    
MDCS corrections Study the stability in time? Maybe formalise the psuedo data driven parameter choice (i.e. we stuck them in the mirror alignment to see what happened). I don't think data based optimisation we played with was developed far enough. Maybe the RAL studies. Donal's 3% radius correction studies didn't make it into the last paper?    
Mirror alignments Mirror alignments are getting their own paper, so maybe nothing needed here? 0 min?  
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Time alignment All time alignment data has been analysed, so the minimum here is to track down the output and make a pretty plot. We could study how the timing of boards have varied throughout the years, that could be nice. 20 min - 1 day?  
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Time alignment All time alignment data has been analysed, so the minimum here is to track down the output and make a pretty plot. We could study how the timing of boards have varied throughout the years, that could be nice. All the processed timing scans are in /group/rich/timing/, the details of each run in that directory can be found in the RICH logbook. For the plot there is a script in the RichTimingScanAnalysis package called makeOfficial.py that make plots like: that can be used and updated. 20 min - 1 day?  
 
PID performance Reuse the framework Iwan created. Again, stability in time and with conditions    

Drafts and presentations

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 Something something overleaf

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META FILEATTACHMENT attachment="timing_scan_205938.png" attr="" comment="" date="1550489094" name="timing_scan_205938.png" path="timing_scan_205938.png" size="58029" user="mmccann" version="1"
 
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