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EM scale using h ’s. Vishnu V. Zutshi BNL. Preamble. gg decays Important for absolute calibration Non-linearity and offsets Maybe possible with little or no trigger Maybe possible with little or no tracking Affords the possibility of refinement Testing ground for Monte Carlo. - PowerPoint PPT Presentation
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EM scale using ’s
Vishnu V. Zutshi
BNL
Preamble
decays Important for absolute calibration Non-linearity and offsets Maybe possible with little or no trigger Maybe possible with little or no tracking Affords the possibility of refinement Testing ground for Monte Carlo
Schematic
2 peaks and a valley EM3 is your best chance here Neighbourhood definition You may or may not want to extend the
EM3 clustering to other floors CellNN does extend it to other floors
CellNN
• Each local maxima starts a floor cluster
• An EM cell is defined to have 4 neighbours
• Log weighting for position determination
• Sharing based on a transverse parameterization of the shower
• Angular matching between floor clusters
• Position measurement is key
Just maybe
5 GeV ’s
Asym=abs(e1-e2)/(e1+e2)
Single photons
5 GeV ’sun
corr
ecte
dcorrected
5 GeV ’s
+ E corr.
+ Asym. cut
5 GeV ’sLower Fcluster threshold
5 GeV ’sLower Fcluster threshold
1 GeV photon
2 GeV photons
10 GeV ’s
E/Egen
Ene
rgy
mat
chin
g
10 GeV ’s
E/Egen
unco
rrec
ted corrected
10 GeV ’s
deltaR=sqrt()
5 GeV ’s
5 GeV ’sLower Fcluster threshold
10 GeV ’s
10 GeV ’sP
ositi
on d
eter
min
ed f
rom
ly3
if e
mfr
>0.
2
10 GeV ’s
Single photons
10 GeV ’sL
y3fr
ac>
0.2
and
new
W0’
s
10 GeV ’s
5 GeV ’s
Ongoing…
• W0’s for Fclustering
• Energy corrections
• Fthreshold
• Neighbourhood
• Sharing
• Symmetric mass