Get rid of large monitoring histogram, or make them optional

The root files produced by alignment are very large and this starts to become a problem when processing events. This seems to be because we have introduced a couple of 2D histograms that were not there before. Here is a list of histograms with more than 1000 bins (see below). I added the names of authors that (I think) introduced the large histograms, excluding myself :-). (My apologies if I wrongly added your name.) It would be good if we could clean this up a bit, either by reducing the number of bins, or by making the histograms optional (where the default behaviour then is that the histogram is not produced.) The threshold of '1000' is a bit low, but there are also quite a few histograms below with more than 10k or even 100k or even 8M bins. (I think that latter is the culprit, so perhaps we should start with that.)

TrackStateAtEndVELOXVsY - Dimensions: 2, Bins: 200 x 200
TrackStateAtTXVsY - Dimensions: 2, Bins: 200 x 200
TrackStateAtUTXVsY - Dimensions: 2, Bins: 200 x 200

(multiply this by 5 or so, because they are booked for every track type)

T-UT/dtx vs tx ty - Dimensions: 3, Bins: 60 x 25 x 100
T-UT/dtx vs tx ty prof - Dimensions: 2, Bins: 120 x 25
T-UT/dty vs tx ty - Dimensions: 3, Bins: 60 x 25 x 100
T-UT/dty vs tx ty prof - Dimensions: 2, Bins: 120 x 25
T-UT/dx vs tx ty - Dimensions: 3, Bins: 60 x 25 x 100
T-UT/dx vs tx ty prof - Dimensions: 2, Bins: 120 x 25
T-UT/dy vs tx ty - Dimensions: 3, Bins: 60 x 25 x 100
T-UT/dy vs tx ty prof - Dimensions: 2, Bins: 120 x 25
x A-C overlap residual - Dimensions: 2, Bins: 26 x 100
x overlap residual CLI-NLO - Dimensions: 2, Bins: 52 x 100
x overlap residual CLI-NSI - Dimensions: 2, Bins: 52 x 100
x overlap residual CSO-NSI - Dimensions: 2, Bins: 52 x 100
x residual A side vs station - Dimensions: 2, Bins: 26 x 100
x residual C side vs station - Dimensions: 2, Bins: 26 x 100
x residual by module - Dimensions: 2, Bins: 52 x 100
x vs y station overlap - Dimensions: 2, Bins: 100 x 100
x vs y tile overlap - Dimensions: 2, Bins: 100 x 100
y A-C overlap residual - Dimensions: 2, Bins: 26 x 100
y overlap residual CLI-NLO - Dimensions: 2, Bins: 52 x 100
y overlap residual CLI-NSI - Dimensions: 2, Bins: 52 x 100
y overlap residual CSO-NSI - Dimensions: 2, Bins: 52 x 100
y residual A side vs station - Dimensions: 2, Bins: 26 x 100
y residual C side vs station - Dimensions: 2, Bins: 26 x 100
y residual by module - Dimensions: 2, Bins: 52 x 100
BiasedResidualModule - Dimensions: 2, Bins: 52 x 200
BiasedResidualPullModule - Dimensions: 2, Bins: 52 x 200
BiasedResidualPullSensor - Dimensions: 2, Bins: 208 x 200
BiasedResidualSensor - Dimensions: 2, Bins: 208 x 200
BiasedResidualXModule - Dimensions: 2, Bins: 52 x 200
BiasedResidualXPullModule - Dimensions: 2, Bins: 52 x 200
BiasedResidualXPullSensor - Dimensions: 2, Bins: 208 x 200
BiasedResidualXSensor - Dimensions: 2, Bins: 208 x 200
BiasedResidualYModule - Dimensions: 2, Bins: 52 x 200
BiasedResidualYPullModule - Dimensions: 2, Bins: 52 x 200
BiasedResidualYPullSensor - Dimensions: 2, Bins: 208 x 200
BiasedResidualYSensor - Dimensions: 2, Bins: 208 x 200
PhiEta - Dimensions: 2, Bins: 200 x 400
PhiEta_shift - Dimensions: 2, Bins: 200 x 400
ProfResXVsStationTx - Dimensions: 2, Bins: 26 x 100
ProfResYVsStationTy - Dimensions: 2, Bins: 26 x 100

(x 8 (!) because split forward backward and A/C side, and separate for Overlap and All)

massVersusEta2D - Dimensions: 2, Bins: 20 x 100
massVersusMom2D - Dimensions: 2, Bins: 20 x 100
massVersusMomAsym2D - Dimensions: 2, Bins: 20 x 100
massVersusMomDif2D - Dimensions: 2, Bins: 20 x 100
massVersusOpenAngle2D - Dimensions: 2, Bins: 20 x 100
massVersusPhi2D - Dimensions: 2, Bins: 20 x 100
massVersusPhiMatt2D - Dimensions: 2, Bins: 20 x 100
massVersusPt2D - Dimensions: 2, Bins: 20 x 100
massVersusTx2D - Dimensions: 2, Bins: 40 x 100
massVersusTy2D - Dimensions: 2, Bins: 40 x 100
biasedResidualLayer - Dimensions: 2, Bins: 12 x 200
globalSiPMIdx - Dimensions: 1, Bins: 4096
posT1 - Dimensions: 2, Bins: 200 x 200
posT2 - Dimensions: 2, Bins: 200 x 200
posT3 - Dimensions: 2, Bins: 200 x 200
residualPerModule - Dimensions: 2, Bins: 256 x 50
residualPerSiPM - Dimensions: 2, Bins: 4096 x 50
slopesT1 - Dimensions: 2, Bins: 200 x 200
slopesT2 - Dimensions: 2, Bins: 200 x 200
slopesT3 - Dimensions: 2, Bins: 200 x 200
unbiasedResidualLayer - Dimensions: 2, Bins: 12 x 200
unbiasedresidualPerModule - Dimensions: 2, Bins: 256 x 100
unbiasedresidualVsXYL0 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL1 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL10 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL11 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL2 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL3 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL4 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL5 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL6 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL7 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL8 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXYL9 - Dimensions: 3, Bins: 660 x 124 x 100
unbiasedresidualVsXY_profileL0 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL1 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL10 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL11 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL2 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL3 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL4 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL5 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL6 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL7 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL8 - Dimensions: 2, Bins: 660 x 124
unbiasedresidualVsXY_profileL9 - Dimensions: 2, Bins: 660 x 124
Edited by Pawel Kopciewicz