cristiano fanelli john hardin a dirc for gluex justin
TRANSCRIPT
Crist iano Fanel l i
John Hardin
Just in Stevens
Mike Wi l l iams
John Frye
Matthew Shepherd
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A DIRC FOR GLUEX
Fixed target (ɣ,p) experiment
Poised to start taking data in 2016
Looking for “exotic mesons” – requiring nontrivial gluonic contributions
Predicted by lattice QCD in the mass range we probe
Interested in finding the strange content of these particles
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GLUEX PHYSICS
We would like to increase our energy reach in PID
Especially need this for high purity samples (going from 90% -> 95%
purity lowers efficiency by ~50% with baseline GlueX)
Additional runtime has been approved by the PAC
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MOTIVATION
eta2300 phi1850 Purity Base DiRC Base DiRC
0.90 0.37 0.51 0.68 0.74 0.95 0.18 0.38 0.61 0.69 0.99 0.01 0.06 0.28 0.42
h' 2600 y2175 Purity Base DiRC Base DiRC
0.90 0.31 0.49 0.52 0.67 0.95 0.15 0.33 0.39 0.59 0.99 0.00 0.06 0.06 0.23
Identification Efficiency
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DIRC @ BABAR
The goal is to determine the
velocity of the charged particle
based on its angle
• BaBar’s readout of the DiRC Shown above
• A particle travels through the bars and
Cerenkov radiates. As these photons totally
internally reflect up the bar, their angle is
preserved and can be read out.
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SLAC’S FDIRC PROTOTYPE
(for Super-B)
$
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GEANT SIMULATION OF PHOTONS
In front of the
FCAL
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LOCATION IN GLUEX
Resolution depends
heavily on the number of
photons found
Test dif ferent mirror techs
Polished, coated, Aluminum
Aluminum coated glass
taped to an Aluminum
strongback
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MIRRORS
Use same method as LHCb
A reference spherical mirror, a point source, and a ccd
camera can give angular dispersion
Then put flat mirror “in the way” to measure
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EVALUATING THE MIRRORS
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MIRROR EVALUATION SETUP
The image of the fiber is 1mm
We require <~.5mrad of spread, and
this is clearly much better than that
Relative pixel size drawn
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SAMPLE IMAGE
Lapped Al 45 deg Polished Al 45 deg Glass 14 deg
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REFLECTIVITY
“Purple”
Using Kernel Density Estimation
Still need to optimize for speed
3 GeV requires much less time than 4+ GeV,
Implementing progressive version
X-Y distributions shown below
RECONSTRUCTION METHOD
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θ=0⁰ φ=0⁰
θ=4⁰ φ=40⁰
Can use this method to evaluate different designs
Most design parameters exist in a broad valley
Switched to water
Magnification effect
Lost Photons
Little net effect
Switched to a 3 segment mirror
Small gain from spread and timing
Tracking error cancels in our geometry
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DESIGN FROM RECONSTRUCTION
Analytically tracking photons down the bar to form KDE
Needs to be faster per particle to integrate with offline reconstruction (3Hz->~100Hz)
Minimal optimization has been performed, so there is plenty of room for improvement
Very quick at analyzing different geometries for fixed kinematics
Under development along with other algorithms (e.g. Look up tables)
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RECONSTRUCTION NOTES
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EXPECTED PERFORMANCE: EFFICIENCY
AND MISSID
Recently reviewed by Jlab, report forthcoming,
but feedback already received has been very
positive
Expecting to start construction in the first half
of 2016
In the process of testing mirror technologies
and improving reconstruction
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OUTLOOK
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QUESTIONS?
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BONUS SLIDE: TRANSPORTATION
Ver y expensive bars to be moved across USA
Contract w i th Rock - I t Cargo and i terate
Our geometry results in tracking errors canceling for
“forward” and “backward” photons.
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BACKUP: TRACKING ERROR
Room is not completely dark, so long runs must take all
sources of background into account
Do this with and without mirror
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BACKUP: REFLECTIVITY
Blue LED
345nm LED