trigger and vertexing efficiency for 200 gev pp interactions in phobos (dn/d η )
DESCRIPTION
Trigger and Vertexing Efficiency for 200 GeV pp Interactions in PHOBOS (dN/d η ). Joseph Sagerer University of Illinois at Chicago for the Collaboration DNP 2003: Tucson, AZ November 1, 2003. Hit Counting dN/d η Hit Merging Correction Factors - PowerPoint PPT PresentationTRANSCRIPT
Trigger and Vertexing Trigger and Vertexing Efficiency for 200 GeV pp Efficiency for 200 GeV pp Interactions in PHOBOS Interactions in PHOBOS
(dN/d(dN/dηη))Joseph SagererJoseph Sagerer
University of Illinois at ChicagoUniversity of Illinois at Chicago
for the Collaborationfor the Collaboration
DNP 2003: Tucson, AZ November 1, DNP 2003: Tucson, AZ November 1, 20032003
•Hit Counting dN/dη
•Hit Merging
•Correction Factors
•Vertexing Correction
•Vertexing Efficiency
•Trigger Efficiency
•Status of Data
Collaboration (October 2003)
Birger Back, Mark Baker, Maarten Ballintijn, Donald Barton, Russell Betts, Abigail Bickley,
Richard Bindel, Wit Busza (Spokesperson), Alan Carroll, Zhengwei Chai, Patrick Decowski,
Edmundo Garcia, Tomasz Gburek, Nigel George, Kristjan Gulbrandsen, Stephen Gushue,
Clive Halliwell, Joshua Hamblen, Adam Harrington, Conor Henderson, David Hofman, Richard
Hollis,
Roman Hołyński, Burt Holzman, Aneta Iordanova, Erik Johnson, Jay Kane, Nazim Khan, Piotr
Kulinich, Chia Ming Kuo, Willis Lin, Steven Manly, Alice Mignerey, Gerrit van Nieuwenhuizen,
Rachid Nouicer, Andrzej Olszewski, Robert Pak, Inkyu Park, Heinz Pernegger, Corey Reed,
Michael Ricci,
Christof Roland, Gunther Roland, Joe Sagerer, Iouri Sedykh, Wojtek Skulski, Chadd Smith,
Peter Steinberg, George Stephans, Andrei Sukhanov, Marguerite Belt Tonjes, Adam Trzupek,
Carla Vale, Siarhei Vaurynovich, Robin Verdier, Gábor Veres, Edward Wenger, Frank Wolfs,
Barbara Wosiek, Krzysztof Woźniak, Alan Wuosmaa, Bolek Wysłouch, Jinlong Zhang
ARGONNE NATIONAL LABORATORY BROOKHAVEN NATIONAL LABORATORYINSTITUTE OF NUCLEAR PHYSICS, KRAKOW MASSACHUSETTS INSTITUTE OF TECHNOLOGYNATIONAL CENTRAL UNIVERSITY, TAIWAN UNIVERSITY OF ILLINOIS AT CHICAGO
UNIVERSITY OF MARYLAND UNIVERSITY OF ROCHESTER
Hardware:
Z
Paddle Triggers
0 +3-3 +5.4-5.4
Octagon Detector (Silicon Pads)
Unrolled Octagon
Rin
gs
Rings
Hit Counting dN/dη
RAW HITS
STEP 2) Correction Factors: Correction factors are applied to each bin f(η,z,Octagon Mult)
STEP 3) Efficiency Corrections: Bins are combined based on trigger&vertex efficiencies per bin
STEP 1) Hit Merging: Adjacent silicon pixels with energy above threshold are summed into merged hits and counted vs η. Events are binned by z-vertex position and merged octagon hits MERGED
HITS
dN/dη vs Mult and Z
Min-Bias dN/dη
dE of Octagon hits in data before, after merging
STEP 1)Hit Merging
For η ≠ 0 we have the possibility of a hit striking multiple pixels. Thus a merging algorithm is applied that sums adjacent pixels above threshold.
A high angle hit passes through multiple pixels
Unmerged hits Merged hits
Monte-Carlo Simulation of PHOBOS 200GeV pp
• Red-MC primary tracks dN/dη
• Blue-Simulated Octagon Merged hits includes all analysis bias
• Blk-correction factor f(η)
200GeV pp MC from HiJing (Pythia)
ABS(MCVTX)<20cm
STEP 2)Correction factors
Correction Factor Break Down
f(η,z,Octagon Mult)
= CAcceptance*CVertexing*CMerging*CSecondaries
•f can be created directly from MC
•We study the C’s to better understand the overall corrections due to MC
PHOBOS pp Vertexing:
•Different algorithm from AuAu
•Has an Efficiency that is highly dependant on Octagon Mult (remember we need this to sum bins in STEP 3)
STEP 2)Correction factors
dVertex) (MCdN
dVertex) (AnalysisdN
Hits
Hits
vertexC
Red-MC Hits; η based on MC Vertex
Blue-MC Hits; η based on Analysis (OctdE) Vertex
CVertex is the correction of the hit distribution due to the inaccuracy of the Vertex
STEP 2)Correction factors
Octagon Multiplicity bin:10-20 Z step of 20cm
(-80,-60) (-60,-40)
(-40,-20) (-20,0)
(0,20) (20,40)
(40,60) (60,80)
Vertexing Efficiency
Octagon Merged Hits
Blk-all MC Vertex
Blue-MC Vertices with good analysis vertex
STEP 3)Efficiency Corrections
Trigger + Vertex Event Acceptance (MC)
Trigger Hardware Efficiency
OctMult 0-10 10-20 20-30 30-40 40-50 50-60
EffP 0.797 0.961 0.99 0.998 0.997 0.96EffN 0.75 0.953 0.99 0.999 0.981 0.91
2
2
2
2
2
)1(
)(
)(x
MCyONLY
MCARM
MCARM
DATAyONLY
DATAARM
DATAARM
x EffO
NNN
NNN
Eff
Trigger Event Acceptance (MC)
Octagon Merged Hits
STEP 3)Efficiency Corrections
Current State of Data: After STEP 1) Merged Octagon Hits
Raw Data Hit distribution for z <±20, summed over all octagon mult. No Corrections applied.
Summary
• MC Studies of correction factors for 200GeV pp with PHOBOS have been done
• Data is in good shape after hit merging
• All is set to produce a min-bias dN/dη for |η|<3 with the rings extending this to |η|<5.4
• Final results for QM
Single Diffractive Events
• For single Arm trigger
– Overall SDE ~25% input to MC
– Contamination is low for High Mult (~10%)
– Most is lowest Mult bin (~50%)
– We have the option to recreate the UA5 cut on SDE using two arm trigger condition or the PHOBOS Silicon
Paddle Single-Arm Trigger
Paddle Two-Arm Trigger
RESERVE SLIDE JUST IN CASE