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Fermilab Test Beam Facility Fermilab Test Beam Facility and and - PowerPoint PPT Presentation

AC02-07CH11359. Alliance, LLC (FRA), acting under Contract No. DE- Facility. Fermilab is managed by Fermi Research Department of Energy, Office of Science, HEP User National Accelerator Laboratory (Fermilab), a U.S. Collaboration] using the


  1. AC02-07CH11359. Alliance, LLC (FRA), acting under Contract No. DE- Facility. Fermilab is managed by Fermi Research Department of Energy, Office of Science, HEP User National Accelerator Laboratory (Fermilab), a U.S. Collaboration] using the resources of the Fermi This document was prepared by [LArIAT FERMILAB-SLIDES-18-093-ND-PPD Fermilab Test Beam Facility Fermilab Test Beam Facility and and LArIAT Experiment LArIAT Experiment Justin Hugon Louisiana State University On behalf of the Fermilab Test Beam Facility and LArIAT experiment

  2. Fermilab Test Beam Facility (FTBF) Fermilab Test Beam Facility (FTBF) Justin Hugon, Louisiana State University 2

  3. Fermilab Test Beam Facility (FTBF) Fermilab Test Beam Facility (FTBF) • Full details can be found: http://ftbf.fnal.gov/beam-overview/ – 4 sec spill every 60 seconds – Tunable rate (100 Hz – 100,000 Hz) – Beam available 24/7 • MTest Beamline – 120 GeV protons (primary) – 1 – 60 GeV secondary beam – Spot size about 2cm • MCenter Beamline – Tertiary beamline down to 200 MeV – Currently have cryogenic support for LArIAT (Liquid Argon In A Test Beam) Justin Hugon, Louisiana State University 3

  4. Facility Instrumentation Facility Instrumentation Cherenkov Detector Cherenkov Detector Pixel Telescope + Assorted Trigger Scintillators 4 MWPC Trackers Lead Glass Calorimeter Justin Hugon, Louisiana State University 4

  5. Infrastructure in MTest Infrastructure in MTest ACNET Helium Tubes Controlled Motion Tables Signal, Network, & Gas Patch High Voltage Patch Panels Panels Laser Alignment Web Cameras Climate Controlled Huts & 30 Ton Crane Justin Hugon, Louisiana State University 5

  6. Beams Composition Studies—In Progress Beams Composition Studies—In Progress Positjve Beams Compositjon, Open Collimators 2016 90 80 Studies done by E. Skup 70 e+ 60 and D. Jensen Percentage pions 50 p and K 40 30 20 10 0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 Beam Energy Negatjve Beams Compositjon, Open Collimators 2016 90 • MTest Secondary Beam 80 • Plans to contjnue this 70 60 e- study as schedule allows Percentage 50 pions • Put into a database with 40 p and K 30 all running conditjons 20 recorded 10 0 5 10 15 20 25 30 35 Beam Energy Justin Hugon, Louisiana State University 6

  7. Tests for LHC Experiments (CMS, ATLAS) Tests for LHC Experiments (CMS, ATLAS) • CMS Outer Tracker, CMS Pixels, CMS timing all had test beams this year • ATLAS pixels also ran for several weeks. • Both groups used the test beam heavily this year. ATLAS Test Beam Setup CMS Test Beam Setup Justin Hugon, Louisiana State University 7

  8. Liquid Argon in a Test Beam (LArIAT) Liquid Argon in a Test Beam (LArIAT) LArIAT TPC LArIAT TPC 170 L 0.25 tons m m c c of LAr 0 0 4 4 n n o o i t i c t c e e r i r D i D 47 cm m 47 cm m a a e e B B m m c c 0 0 9 9 Drift Direction Drift Direction Reuse the ArgoNeuT TPC in the MCenter (long-duration test) beamline Justin Hugon, Louisiana State University 8

  9. Liquid Argon in a Test Beam (LArIAT) Liquid Argon in a Test Beam (LArIAT) Wire/anode planes Cathode plane Readout ASICs Changes from ArgoNeuT: ● New wireplanes ● Cold front-end electronics ASICs from MicroBooNE Justin Hugon, Louisiana State University 9

  10. LArIAT Goals LArIAT Goals ● Physics Goals – Hadron-Ar interaction cross sections Pion Absorption Candidate (π→ 3p) ● p +/- -Ar to support ν cross-sections ● K +/- - Ar, supporting nucleon decay ● Geant4 validation – e/ g shower identification capabilities – Anti-proton annihilation at rest LArIAT Data ● Similar to BSM n-n oscillation signature – Particle sign determination in the absence of a magnetic field, utilizing topology ● e.g. decay vs capture ● R&D Goals – Ionization and scintillation light studies ● Charge deposited vs. light collected for stopping particles of known energy – Optimization of particle ID techniques – LArTPC event reconstruction ● Compare 3mm, 4mm, 5mm wire pitch Justin Hugon, Louisiana State University 10

  11. LArIAT Tertiary Beamline LArIAT Tertiary Beamline Multi-wire Cu target proportional p ’s chambers Muon (8-80 GeV) (MWPCs) Halo veto Range Secondary beam Stack TPC Dipole Aerogel Magnets Cerenkov Collimators Muon Counters Punchthrough Time of Flight Veto (TOF) Instrumented beamline identifies and characterizes particles both online and offline Justin Hugon, Louisiana State University 11

  12. LArIAT Beamline: Wire Chambers LArIAT Beamline: Wire Chambers LArIAT Preliminary Wire chambers reconstruct the position and momentum of the particles in the beamline Wire chamber reconstructed momentum compared to simulation Justin Hugon, Louisiana State University 12

  13. LArIAT Beamline Detectors LArIAT Beamline Detectors TOF vs reconstructed momentum LArIAT Preliminary Combining the momentum and TOF allows for p / m /e, K, proton separation Additionally, using the known masses of the K and proton we can constrain the momentum scale to 3% Justin Hugon, Louisiana State University 13

  14. Calibrating the TPC Calibrating the TPC LArIAT Preliminary Wire Chamber 4 TPC Track Beamline Track 1 st few hits of TPC track have ~momentum of beamline track ● Match beamline track to TPC track ● Fit dE/dx for various beamline momenta ● Calibrate detector response to follow Bethe- Bloch formula ● Calibrate using pions; check on kaons/protons Justin Hugon, Louisiana State University 14

  15. Pion Cross-Section Pion Cross-Section ● The total p – –Argon Cross-Section includes σ Total =σ elastic +σ inelastic +σ ch-exch +σ absorp. +σ p -production Inelastic Scattering Candidate Elastic Scattering Candidate + LArIAT Data LArIAT Data Charge Exchange Candidate π Production Candidate LArIAT Data + + LArIAT Data LArIAT Data Absorption Candidate (π -> 3p) + Justin Hugon, Louisiana State University 15 LArIAT Data

  16. Pion Cross-Section Pion Cross-Section ● Backgrounds are: LArIAT Data Muon Background π Decay Candidate π Capture Candidate LArIAT Data LArIAT Data LArIAT Data Pion Interaction Type per Kinetic Energy Pion Interaction Fraction per Kinetic Energy LArIAT Simulation LArIAT Simulation Note: Pion decay backgrounds are small component which remain in our result. Capture dominates the lowest energy bin and is thus excluded Justin Hugon, Louisiana State University 16

  17. Thin Slice Cross-Section Thin Slice Cross-Section −σ n z P Survival = e −σ nz P Interacting = 1 − P Survival = 1 − e N interacting −σ nz ≈ 1 −( 1 −σ nz + ... ) = P Interacting = 1 − e N Incident N interacting σ≈ 1 nz N Incident Justin Hugon, Louisiana State University 17

  18. Thin Slice TPC Method Thin Slice TPC Method Treat the TPC wire-to-wire spacing as a series of “thin-slice” targets Justin Hugon, Louisiana State University 18

  19. Pion Cross-Section Pion Cross-Section Simulation Test of the Method for π - + Ar i − 1 KE i = KE beamline − ∑ dE / dX j × Pitch j j = 0 Incident Interacting Kinetic Energy (MeV) Kinetic Energy (MeV) N interacting σ≈ 1 nz N Incident Justin Hugon, Louisiana State University 19

  20. Pion Cross-Section Pion Cross-Section Systematics Considered Here dE/dX Calibration: 3% Energy Loss Prior to entering the TPC: 3.5% Through Going Muon Contamination: 3% Wire Chamber Momentum Uncertainty: 3% Justin Hugon, Louisiana State University 20

  21. Pion Cross-Section Pion Cross-Section Update in Progress Systematics Considered Here dE/dX Calibration: 3% Energy Loss Prior to entering the TPC: 3.5% Through Going Muon Contamination: 3% Wire Chamber Momentum Uncertainty: 3% Justin Hugon, Louisiana State University 21

  22. Toward Exclusive Pion Channels Toward Exclusive Pion Channels ● Working on absorption + charge Signal Events: exchange: 0 Secondary π ± Absorption Candidate (π -> 3p) π + + Ar → 0π ± + X – Useful for modeling contamination of ν CC QE from CC RES – Need to identify outgoing pions v. protons LArIAT Data Background Events: Charge Exchange Candidate Contain Secondary π ± Inelastic Scattering Candidate LArIAT Data LArIAT Data Justin Hugon, Louisiana State University 22

  23. Likelihood-Based Particle ID Likelihood-Based Particle ID ● Likelihood of dE/dx versus residual range of each track hit – Constructed from simulated tracks – Evaluate using likelihood-ratio of all hits on a track Proton Pion Likelihood Likelihood Justin Hugon, Louisiana State University 23

  24. Kaon Cross-section Kaon Cross-section & Anti-proton Anihilation at Rest & Anti-proton Anihilation at Rest p-candidate LArIAT Data ● LArIAT has identified O (20) anti- ● Inclusive K+ cross-section has O (2000) proton annihilation at rest Elastic/Inelastic interactions identified candidates – Inclusive cross-section coming soon – O (70) annihilation in flight ● First time measured on argon ● Similar to BSM n-n oscillation ● DUNE plans search for proton decay: signature p → K + ν – DUNE planning search ● Cross-section information will help ● Working to reconstruct these final ensure signal efficiency is modeled properly state topologies Justin Hugon, Louisiana State University 24

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