Ageing correction from electron

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Presentation transcript:

Ageing correction from electron

Outline Latest ageing correction Comparison correction e/p trending & new fine calibration Ageing comparing the 2 fine calibrations Model for ageing Flux determination Adjustement of the 2 component Plans

Ageing update Hadron stream used In step of 20 to 40 pb-1 Use fine calibration from early June ( intercell adjustment ) In reference to June EoP result fro each zone calculate the ageing effect Produce tables : Fine calibration * ageing for the database. New fine calibration End September Used for the latest corrections

Ageing in Inner zone Zone 1 effect = 16% Zone 2 effect = 6.1% 150 pb-1 still to be added 9 8 7 2 4 6 1 3 5 Delivered Luminosity ( pb-1)

Ageing in middle zone 9 8 7 2 4 6 1 3 5 Zone 3 : 11.8% Zone 4 : 6.1%

Ageing in outer zone 9 8 7 2 4 6 1 3 5 Zone 5 : 16.7% Zone 6: 10.8% 2 slopes = < 200pb-1 above

Coefficient precision/pertinence Use the fine calibration coefficient from Dasha in September Compare to the coefficient derived from ageing trending with e/p for the same period

Comparison coefficients Compare coefficients : From ageing trend & September fine calibration Fine calibration

Plot difference & profile inner y x Ageing trend-Fine calib/filne calib Undercorrected in beam region <> -1.7% ; sigma = 4.4% up to 10%

Middle zone Middle zone Centerd - sigma 4% - up to 6% miscalibration in beam region

Outer zone Centered Sigma ~3.7% In the central region under calibration

Ageing trending The ageing trending is not precise enough Need to built a model of ageing Inner part still undercalibrated in central part Compare the 2 fine calibration period to built a model

Ageing comparing the 2 fine calibration period -inner 2 calibrations correlate 6.97 % averaged shift - 5.4% sigma

Ageing comparing the 2 fine calibration period -middle Strong correlation ~3% ageing Sigma ~4.7%

Ageing comparing the 2 fine calibration period -Outer Averaged ageing 3.5% Rms 4.4%

Ageing profile y Inner Middle Outer Row number ( different scale) Profile can be parametrized Gaussian + exponential ( y) -

Ageing profile x 9 8 7 2 4 6 1 3 5 Profile function of x in zone 1 3 5 <Difference of ageing >/cell 2 hypothesis Fiber radiation damage f(x) PMT gain from current g(x,cellsize) Cells have to be renormalized according their surface to get a parametrizaton For fiber damage the ageing should be smooth in the above plot

Built a model for particle flux Radiation damage on scintillator & fiber depend upon the particle flux in the electromagnetic calorimeter 2 type of components Neutral component Charged component

Neutral component flux On bhadron stripped data Distribution of flux weighted by cluster energy Corrected by cell surface Fit Aexp(-br) -> Shape of neutral flux

Charged particle flux Take charged cluster weighted by cluster energy Adjust on the central zone weighted (1/ cell size) Parametrization A exp(-bx )exp(-cy)

Radiation flux 42% Neutral and 58% charged

Expected ageing Radiation damage proportionnal to flux PMT current depends upon cellsize Contribution of the 2 effects adjusted from fine calibration 62% PMT and 48% radiation Deviation Sept/June Modelisation

Correction / zone Fine calibration correction - Calculated correction Outer Middle Inner

LED correction / Fine calibration

Plans Improve flux model More statistics Minimum biais event More fine calibration will help to test the model Alternative use LED response