
META TOPICPARENT 
name="VELOCommissioningSoftware" 
VELO Online Monitoring Wish List
This page is meant to be a scratch area for collecting ideas what to monitor and how. So everybody should feel free to add 

Detailed Specifications
Higher level quantities 

> > 
Alignment/Resolution (Marco, Silvia) 

 residuals (preferably for small angle tracks with many spacepoints)
 vs r/phi for alignment
 for each sensor make unbiased straight line track fit and compute intercept with sensor




 for each bin in pitch+angle fit the spread of the residual distribution
 the fit should only be done for bins with at least 10000 entries
 it has to be noted that extrapolation errors contribute to the measured spread!


< < 


 projections of resolution (spread) vs pitch/angle can be plotted for various bins in the other variable using colourcoded lines (see Tomasz's plots)

> > 


 projections of resolution (spread) vs pitch/angle can be plotted for various bins in the other variable using colourcoded lines (see Tomasz's LHCb note plots)




 residual plots should not be updated too often to ensure necessary statistics, hence update frequency: (>)>=10min


> > 
TELL1 Algorithm Monitoring, require NZS data (Tomasz, Chris)
Aim: monitor performance of TELL1 algorithms / check current algorithm parameter values suitable
A separate set of plots are used to tune the parameter values (from the Vetra computers) which are not described here.
 Algorithm:Pedestal Subtraction  Histo 1: mean ADC counts after pedestal subtraction versus chip channel.
 Algorithm:FIR Filter  Histo 1: parameters of crosstalk computer run on data that has already been corrected.
 Algorithm:Beetle Header Correction  Histo1: parameters of beetle correction run on data that has already been corrected, Histo2: corrected rms noise of 1st and 2nd channel of each analogue link / CM corrected rms noise of average channel in same link.
 Algorithm:MCMS Correction  Histo1: noise (rms ADC values) versus chip channel after correction. Histo 2: to be defined something to specifically check events with large baseline swings (JC, Gwen looking)
 Algorithm:Common Mode Correction  Histo1:noise (rms ADC values) versus strip number after correction. Histo2: profile plot of value of correction applied versus strip number.
 Algorithm: Cluster Maker Histo1: Number of clusters versus central strip number (and number with spillover bit set superimposed). Histo2: Size of clusters versus central strip number. Histo 3: Landau (sum of ADC). Histo4: Signal/Noise.

 Considered
Quantities derived from NZS Data
 noise before/after common mode
