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Published bySpencer O’Connor’ Modified over 9 years ago
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1 PID & FPD Software Gilvan Alves (Lafex/CBPF) Q4Q4 D S Q2Q2 Q2Q2 Q3Q3 Q3Q3 Q4Q4 S A 1Q A1SA1S A 2Q A 2S P 1Q P 2S P 1S P 2Q p p Z(m) A D1 Detector Roman Pot 233359 33230 57 Aug 28, 2003 Overview Software Tools
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2 Definition of the object class - proton Tools for estimating rates and efficiencies of the objects (p/pbar) Algorithms for offline reconstruction relevant to the object ID Algorithms for L1/2/3 Triggers Development of the analysis tools that define the quality of the object Calibration of the objects - understand resolutions Online and Offline software
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3 FPD objects FPD Tracks HIT = Coincidence between U and V planes confirmed by a X plane Track = Two HIT’s in a spectrometer (2 pots) constrained to the DØ IP. Halo `Track` Early-time hits in trigger scintillator (60-90 ns) before crossing Possibly in « coincidence » with in-time hits in opposing spectrometer.
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4 A fiber PLANE (U, V, X) has Two layers of parallel fibers (U, U’; V, V’; X, X’) Offset by 2/3 fiber spacing A HIT is defined as Combination of fibers in the two LAYERS. 20 + 20 fibers gives 79 possible HIT values with 0.27/ 12 mm resolution. FPD Detector Hit Bottom view of the detector Scattered proton
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5 FPD Detector Position The U and V planes are oriented at ± 45.º A U-HIT & V-HIT determines position of a track (There are 4,128 U-HIT & V-HIT combinations.) Signals in X and X’ layers used for confirmation, ghost hit elimination, and to measure fiber hit efficiency. V-plane U-plane
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6 A TRACK is determined from the positions in two FPD detectors (straight line, with small correction for electrostatic separators and quadrupoles) There are (4,128) 2 ~ 17 M track combinations (equations) Only some are consistent with origin at the IP. Adding DØ IP as constraint: Determines momentum and scattering angle Reduces number of equations to ~ 500 k Very large number of equations Use ranges of ( , | t |) to reduce number; One FPGA (Virtex 2000 ?) per spectrometer Three double-wide DFE We already have a full set of equations for L1 trigger FPD Detector Track
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7 Halo and Multiple Interactions X Early time hits t = 0 Reject Halo hits using trigger scintillator timing info Multiple Interactions pile-up Single Diff. p (pbar) + Dijet Large for quadrupole (low ) and small for dipole (high ) Level 1 cut ( > 0.004) reduces overlap to 5% Level 3 SI tool could further reduce pile-up
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8 LM and Multiple Interaction Rejection Multiplicity more efficient than Time
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9L3 L3Unpack Tool: Preliminary version available and being tested Tracking Tool: Fast implementation of the offline tracking Test/Prod released Improvements in ghost tracks rejection Single Interaction: Vertex information implemented Already in CVS Including Calorimeter information on E long Released for production
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10 PID Certification Document
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12 Selection Cuts for Elastic Data
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13 Backgrounds PID Criteria need to revisited for new data
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14 We have the following Tools Generate and Process MC full chain (need to be tested) Diffractive Generators(pompyt, pomwig, phojet, scipyt) in the release FPD geometry+ beamline in d0gstar+d0sim => FPDDigiChunk => FPD_RECO Filter events at L3 (given L1 & L2 bits are set) Tracking, Unpacking Single Int. Tools in the release (not tested on raw data) Process events offline (standalone now - needs d0reco integration) Unpacking - released - tested on raw data FPD_Reco - released - needs raw data testing Geometry - pre-release version Database access (offline) Control/Monitor Pot movement, HV Roman Pot movement - Python - stable version, more automation in progress Online Examine pre-release version
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15 WVWV RARA WV = Wanda, Vladimir CM = Carley RA = Rafael, Antonio MS = Mike Strang MS CM ? Trigsim
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16 What is (still) missing FPD_Reco Integration D0Reco Trigger Simulator Raw Data + Trigger Info Forward Vertexing L3 & Offline L3 Geometry == Offline?? DST&TMB info D0reco FPD_Analyze Offline (DST+TMB) Alignment Tool (offline?) Elastic stream Calibration Tool (offline) LMB+Data
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