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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.
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) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Jan 23, 2016

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Page 1: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

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.

Page 2: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

) motivation, CKM mass resolution

) SELEX, three aspects

) radius distributions & tails

) a look into simulation

) summary

outline

Page 3: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

PNN1 PNN2

Page 4: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails
Page 5: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Número de planos prendidos Npl

500

4300

Beam Transition Radiation Detector BTRD

Page 6: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Ring Imaging Cherenkov

beam event at 600 GeV/c

Page 7: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Vector Drift Chambers VDC

Page 8: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Downstream track

M1 M2 RICH

Vertex

Vdc-a Vdc-b

Beam

Page 9: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Track existence

Select PMT´s around +- 1.27 cmFrom SELEX standard radius

ring fitsoft cuts on center and radius uncertainties

Page 10: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Mean radius dispersion by run

Dispersion 0.009 cm

radius 0.15 cm single track 0.18 cm multi-track

Page 11: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Single hit 0.55 0.47 cmin agreement

no track uncertainty

by run

Page 12: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Ring Radius distribution

upstream track existence dowstream track existence

Page 13: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

5 tail (CKM < 3 x10-5)

upstream existence downstream existence

Page 14: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

3 tail difference

Page 15: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

A model for decay events in RICH

blindRich

blinddownstream existence

Page 16: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

Events are left in the tails

“ C “ type: either close or opens the radius

Page 17: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

A look into random PMT simulation

no PMT efficiencyno individual noise

Page 18: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

“ C “ event like events

maximum angle between two consecutive PMT´s per event

( radians )

data broadness: improve lowering noise and better efficiency

radianradian

Page 19: ) motivation, CKM mass resolution ) SELEX, three aspects ) radius distributions & tails

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