SBND (UK)* software and physics report Dom Brailsford on behalf of - - PowerPoint PPT Presentation
SBND (UK)* software and physics report Dom Brailsford on behalf of SBND UK DUNE UK meeting at Manchester 06/03/19 Covers topics not already presented at this meeting* The Short Baseline Near Detector (SBND) Serves as near detector of the
Dom Brailsford on behalf of SBND UK DUNE UK meeting at Manchester 06/03/19
Covers topics not already presented at this meeting*
short baseline neutrino program
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νμ CC 0π 3p signal event in the SBND MC sample μ- p p p
Neutrino vertex Time, TDC Wire number νμ CC inclusive event rate breakdown, not stacked νμ CC exclusive event rate breakdown, stacked Proton multiplicity in the true νμ CC final state
SBND will observe huge statistics at bubble-chamber resolutions (3 mm). Ensuring the software is capable of detecting particles in such detail is crucial for
○ Low momentum particles ○ High multiplicities
○ 2p-2h cross-section measurement
GENIE v02.12.10, Default+MEC
neutrino interactions
cross section channels
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SBND measure on its own
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10 sub-groups
group structure
convener per group
analysis for the multi- detector physics program
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10 sub-groups
UK leadership Strong UK contribution
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project.py-based productions to POMS-based productions
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Initial jobs submitted File metadata declared Output files copied Files copied using SAM bookkeeping
Jobs auto-submitted using SAM datasets from tape
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Jobs report finished
Time structure of our current neutrino simulation The actual time structure of the BNB
LArSoft would allow us to study:
through the entire simulation change
the community
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Cosmic ray tagger system reconstruction
The SBND TPC is almost completely covered by a number of cosmic ray taggers formed of plastic scintillator. They can be used to reconstruct CRT hits (the position and time
through going particles). CRT reconstruction CRT-TPC matching TPC reconstructed tracks can be matched to CRT hits by projecting their ends on to the CRT taggers. They can be matched to CRT tracks by comparing angles and start/end positions.
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CRT cosmic background removal
Fiducial volume:
within 10 cm of TPC walls. TPC topology cosmic ID:
and stop inside it.
t0 tagging cosmic ID:
points. Background removal Sample of 5,000 TPC contained neutrino events with a corsika cosmic overlay. Only using CRT matching and basic TPC information (no light or Pandora reconstruction). Able to go from a 1:14 neutrino muon to cosmic muon ratio to 2:1. Preliminary results
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various combinatorics of reconstruction algorithms
validation module
reconstruction algorithms
performance using metrics emshowerNew: Pandora + EMShower pandoraShower: Full pandora reco. emshowerBLUR: Blur. cluster + EMShower
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Example electron reconstruction
emshowerNew: Pandora + EMShower pandoraShower: Full pandora reco. emshowerBLUR: Blur. cluster + EMShower
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tune-able by end users
separation tunings
segmentation for electron particle gun
metric-based tuning approach with a more realistic topology
Before After
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recombination affects calorimetric reconstruction in showers
electrons and muons
is appropriate, which differs to muons
using the same samples
true electron momentum shows a modest dependence
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distinguish similar mass particles such as muons and pions
muons and pions
decay - simple straight line track topology
Michel electron
the TPC
to improve the CC νμ1π selection
Need to define a PID method for muons and pions based on a track follow down procedure
distinguish particles with similar mass
signatures in the TPC ○ 73% of the times the muon is absorbed - straight line track ○ Michel electrons can be used to tag muon tracks ○ Pions may interact with the environment by absorption, elastic or inelastic scattering
improve the analysis
1 J.Tena Vidal - University of Liverpool
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MicroBooNE for Michel electron searches
for hits within a search window
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π π p
Fiducial volume of the TPC
p n ν
μμ n
distinguish protons from π & μ
information for MIPs
μ tagging
focus on protons Selection
μ & proton purity
Total BNB-only events with a single contained, reconstructed neutrino vertex 63,830
True vertex also contained 96.3% Maximum 1 escaping track 99.9% Exactly 1 escaping track 5.5%
Of these, only the true muon escapes 95.9%
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5.3% of events are basically free, guaranteed muons!
Topological selection
↓ True / Reco → CC Inc. CC 0π CC 0π
39,100 32,650
CC 1π
8,386 3,218
CC Other
658 70
NC
2,967 2,130
Efficiency
92.0% 76.9%
Purity
94.2% 85.8%
Single interaction νμ BNB-only
Purity: Signaltopology / Total selectedtopology Efficiency: Signaltopology / Total truetopology
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π π p
Fiducial volume of the TPC
p n ν
μμ n
distinguish protons from π & μ
information for MIPs
μ tagging
focus on protons Selection
μ & proton purity
Total BNB-only events with a single contained, reconstructed neutrino vertex 63,830
True vertex also contained 96.3% Maximum 1 escaping track 99.9% Exactly 1 escaping track 5.5%
Of these, only the true muon escapes 95.9%
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5.3% of events are basically free, guaranteed muons!
Topological selection
↓ True / Reco → CC Inc. CC 0π CC 0π
1,831 1,471
CC 1π
404 174
CC Other
30 6
NC
190 142
Efficiency
92.1% (+0.1%) 74.1% (-2.8%)
Purity
92.3% (-1.9%) 82.0% (-3.8%)
νμ BNB+cosmic overlay - cheated neutrino ID
Low statistics makes it difficult to judge how the inclusion of cosmics affects the performance of the selection. A 5-10% efficiency loss is expected: Table 4: arXiv:1708.03135
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π π p
Fiducial volume of the TPC
p n ν
μμ n
distinguish protons from π & μ
information for MIPs
μ tagging
focus on protons Selection
μ & proton purity
Total BNB-only events with a single contained, reconstructed neutrino vertex 63,830
True vertex also contained 96.3% Maximum 1 escaping track 99.9% Exactly 1 escaping track 5.5%
Of these, only the true muon escapes 95.9%
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5.3% of events are basically free, guaranteed muons!
Topological selection
↓ True / Reco → CC Inc. CC 0π CC 0π
1,831 1,471
CC 1π
404 174
CC Other
30 6
NC
190 142
Efficiency
92.1% (+0.1%) 74.1% (-2.8%)
Purity
92.3% (-1.9%) 82.0% (-3.8%)
νμ BNB+cosmic overlay - cheated neutrino ID
Low statistics makes it difficult to judge how the inclusion of cosmics affects the performance of the selection. A 5-10% efficiency loss is expected: Table 4: arXiv:1708.03135
DM Scattering Channels: BNB Target SBND 110m χ χϯ p This analysis Focuses on the electron scattering channel.
18 40𝐵𝑠
χ e
could be a viable means of detector light dark matter (DM) in the sub-GeV mass range
light dark matter used
and propagates to SBND. BdNMC used as Monte Carlo DM event generator
neutrinos and cosmic rays. GENIE generates neutrino background and CORSIKA generates cosmic rays
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Selection Cuts:
electron neutrino - scattering.
Prel relim imin inary ry SB SBND Se Sensi sitivity
parameter Y, a function of coupling and dark portal particle masses.
beam dump mode could help increase sensitivity. Timing cut:
travel to SBND than neutrinos.
Red = Neutrino Blue = DM 𝑛χ= 0.3 GeV
Preliminary
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baseline neutrino oscillation program as well as having its own rich physics program
the past year
to that working group structure
development
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○ nueCC Dataset Training (Single CC interation with cosmics) ■ 95% Efficiency in tagging event pixels out of cosmics and background
Work Summary
Meeting Jaggar Henzerling 1 Segmentation Image (Energy Deposition) Prediction 100 cm 100 cm
CC interaction CC interaction
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