Radial Tail Resolution in the SELEX RICH A. Morelos, P.Cooper, J.Mata, J.Engelfried Using a 7 Million data sample of 600 GeV/c single track pion events, where the pion track is reconstructed upstream and downstream the SELEX RICH, a circle fit on the phototubes ring is performed. From the fit we get three parameters, the radius, and the center coordinates plus their statistical errors. Applying modest cuts on track and circle fit uncertainties we build the radius histogram distribution and count the tail the events that fall outside 5from the =1 radius, giving a fraction of 4x10 -5 events outside the gaussian tails. This control of events stablish the ability of using the RICH as velocity spectrometers for high precession search of the K + + anti() experiments like CKM.
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) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails
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Radial Tail Resolution in the SELEX RICH
A. Morelos, P.Cooper, J.Mata, J.Engelfried
Using a 7 Million data sample of 600 GeV/c single track pion events, where the pion track is reconstructed upstream and downstream the SELEX RICH, a circle fit on the phototubes ring is performed. From the fit we get three parameters, the radius, and the center coordinates plus their statistical errors. Applying modest cuts on track and circle fit uncertainties we build the radius histogram distribution and count
the tail the events that fall outside 5 from the =1 radius, giving a fraction of 4x10-5 events outside the gaussian tails. This control of events
stablish the ability of using the RICH as velocity spectrometers for high precession search of the K+ + anti() experiments like CKM.
) motivation, CKM mass resolution
) SELEX, three aspects
) radius distributions & tails
) a look into simulation
) summary
outline
PNN1 PNN2
Número de planos prendidos Npl
500
4300
Beam Transition Radiation Detector BTRD
Ring Imaging Cherenkov
beam event at 600 GeV/c
Vector Drift Chambers VDC
Downstream track
M1 M2 RICH
Vertex
Vdc-a Vdc-b
Beam
Track existence
Select PMT´s around +- 1.27 cmFrom SELEX standard radius
ring fitsoft cuts on center and radius uncertainties
Mean radius dispersion by run
Dispersion 0.009 cm
radius 0.15 cm single track 0.18 cm multi-track
Single hit 0.55 0.47 cmin agreement
no track uncertainty
by run
Ring Radius distribution
upstream track existence dowstream track existence
5 tail (CKM < 3 x10-5)
upstream existence downstream existence
3 tail difference
A model for decay events in RICH
blindRich
blinddownstream existence
Events are left in the tails
“ C “ type: either close or opens the radius
A look into random PMT simulation
no PMT efficiencyno individual noise
“ C “ event like events
maximum angle between two consecutive PMT´s per event
( radians )
data broadness: improve lowering noise and better efficiency
radianradian
Summary
) downstream track existence eliminated decay events which were in the tail region
) With 5 tail analysis we are in a region of 3.9 x10-5 events, close to CKM requirements (less than 3 x10-5 )
) Still: a completely stand alone algorithm, work is being done, and include noise and efficiency per tube in simulation