FIRST OSCILLATION RESULTS FROM NOνA Yale NPA Seminar Dec 3rd 2015 Louise Suter, Argonne National Laboratory for the NOνA collaboration L. Suter 220 collaborators from 40 institutions and 6 countries Yale NPA Seminar 2 L. Suter Yale NPA Seminar 3 NOvA physics goals • Designed to measure 4 channels in NuMI beam • νe appearance (ν _µ _ • νe appearance (νµ ν_e) νe) • νµ disappearance (νµ ν_µ) _ _ • νµ disappearance (νµ νµ) _ _ • Probability of νe(νe) appearance in νµ(νµ) beam depends on θ13, θ23, δCP, Δm231, Δm232 • Results in sensitivity to the neutrino mass hierarchy, CP violation and the θ23 octant • Broad non-oscillation program • Neutrino cross-sections • Sterile neutrino searches • Supernova searches • Searches for monopoles and other exotics Inverted hierarchy Normal hierarchy L. Suter Yale NPA Seminar 4 NOvA physics goals • Designed to measure 4 channels in NuMI beam • νe appearance (ν _µ _ • νe appearance (νµ ν_e) νe) • νµ disappearance (νµ ν_µ) _ _ • νµ disappearance (νµ νµ) _ Inverted hierarchy _ • Probability of νe(νe) appearance in νµ(νµ) beam depends on θ13, θ23, δCP, Δm231, Δm232 • Results in sensitivity to the neutrino mass hierarchy, CP violation and the θ23 octant • Broad non-oscillation program • Neutrino cross-sections • Sterile neutrino searches • Supernova searches • Searches for monopoles and other exotics Normal hierarchy δCP L. Suter Yale NPA Seminar 5 NOvA physics goals • Designed to measure 4 channels in NuMI beam • νe appearance (ν _µ _ • νe appearance (νµ ν_e) νe) • νµ disappearance (νµ ν_µ) _ _ • νµ disappearance (νµ νµ) _ O Inverted hierarchy θ23 > 45 _ • Probability of νe(νe) appearance in νµ(νµ) Normal hierarchy beam depends on θ13, θ23, δCP, Δm231, Δm232 • Results in sensitivity to the neutrino mass hierarchy, CP violation and the θ23 octant • Broad non-oscillation program • Neutrino cross-sections • Sterile neutrino searches • Supernova searches • Searches for monopoles and other exotics θ23 < 45O L. Suter Yale NPA Seminar 6 NOvA physics goals • Designed to measure 4 channels in NuMI beam • νe appearance (ν _µ _ • νe appearance (νµ ν_e) νe) • νµ disappearance (νµ ν_µ) _ _ • νµ disappearance (νµ νµ) _ _ • Probability of νe(νe) appearance in νµ(νµ) beam depends on θ13, θ23, δCP, Δm231, Δm232 • Results in sensitivity to the neutrino mass hierarchy, CP violation and the θ23 octant • Broad non-oscillation program • Neutrino cross-sections • Sterile neutrino searches • Supernova searches • Searches for monopoles and other exotics Inverted hierarchy Normal hierarchy L. Suter Yale NPA Seminar 7 Off-axis long-baseline neutrino oscillation experiment MINOS, Sudan L. Suter Yale NPA Seminar 8 Off-Axis long-baseline neutrino oscillation experiment MINOS, Sudan Longest baseline of any running accelerator neutrino experiment at 810km Increased baseline increases sensitivity to mass hierarchy L. Suter 9 Yale NPA Seminar Off-Axis long-baseline neutrino oscillation experiment Detectors located 0.8o of NuMI beam axis MINOS, Sudan νµ CC / 6E20 POT / kton / 0.1 GeV Far Detector flux NOνA Simulation On-Axis FLUKA11 Narrowly peaked ν flux centered at 2 GeV 7 mrad Off-Axis 15 14.6 mrad Off-Axis (NOν A) 21 mrad Off-Axis E⌫ = 10 | m232 |L 2⇡ ⇡ 2 GeV Achieves maximum oscillation 5 Suppresses high energy tail 0 5 2 GeV Eν [GeV] 10 15 L. Suter 10 Yale NPA Seminar • The ND and FD have similar but 8 θ = 0 mrad θ = 7 mrad Eν [GeV] not identical spectrum • Neutrino energy relies on the angle between π decay and ν interaction in detector 10 • Off-axis the dependence on pion energy becomes flat • The ND sees decays from a θ = 14.6 mrad (NOν A) 6 θ = 21 mrad 4 2 0 0 10 20 30 40 Eπ [GeV] broader range of angles, whereas the FD sees a point source Decay pipe p target νµ ND FD π+ 809 km L. Suter Yale NPA Seminar 11 Need to design a detector with excellent νe identification and background rejection Want a huge, low-Z, totally active, tracking calorimeter 11 L. Suter Yale NPA Seminar 12 To 1 APD pixel γ L15.8 m 15.8 m typical charged particle path Need to design a detector with excellent νe identification and background rejection Want a huge, low-Z, totally active, tracking calorimeter W D 4 cm PVC cell filled with liquid scintillator (mineral oil doped with 5% pseudocumene) 12 L. Suter Yale NPA Seminar 13 To 1 APD pixel L15.8 m γ typical charged particle path W D 4 cm 344,064 identical cells constructed into 896 alternating horizontal and vertical planes, each of 384 cells long Cells constructed into horizontal and virtual planes for 3D reconstruction 13 L. Suter Yale NPA Seminar 14 32 pixel APD 32 WSF loops Each cell has loop of wavelength shifting fiber read out in groups of 32 by a 32 pixel Avalanche Photodiode 14 L. Suter Yale NPA Seminar 15 60 m 15.6 m Far Detector, on surface 14 kTons 896 layers 344,064 pixels m Bea 4.2 m ND, 0.3 kTons 214 layers 20,192 pixels 4.2 m 15.8 m Two identical 65% active low-Z tracking calorimeters 15.6 m L. Suter Yale NPA Seminar Far Detector 16 Near Detector Two identical detectors • Measure ν rates after oscillation • Use of a ratio measurement allows for cancelation of most systematics • Large flux used to characterize ν beam before oscillation • Use data to predict expected rate at FD L. Suter 17 Yale NPA Seminar 1m Proton 1m νμ + n → μ + p dE/dx ≈ 12.9 MeV/cm (MIP through cell) Muon νμ Charged Current Proton Michel eνe + n → e + p Electron νe Charged Current Proton π0 (→γγ) Neutral Current gap ν + X → ν + X' Low-Z to enhance electron photon separation, each plane is just 0.15 X0 L. Suter Yale NPA Seminar • Far Detector started data taking in March 2013, with both detectors completed August 2014 • NOvA running in medium energy NuMI beam with a beam power from 330-500 kW • Slip-stacking Booster batches since March 2015 • Upgrade to 700 kW, NOvA design power, dependent on a Booster upgrade and 4+6 slip-stacking Number hits Double the intensity in the first two Booster batches Time of ND hits 18 L. Suter 19 Yale NPA Seminar Delivered/Recorded POT Rapid intensity increase since February 1.8" 1.7" Up to a beam power of ~480kW 1.6" Beam shutdowns 1.5" 1.4" 1.3" 1.2" 1e18$POT$Per$Day$ 1.1" 1" 0.9" 0.8" 0.7" 0.6" 0.5" 0.4" 0.3" 0.2" 28.day"average"delivered" 0.1" 5/1/15" 4/1/15" 3/1/15" 2/1/15" 1/1/15" 12/1/14" 11/1/14" 10/1/14" 9/1/14" 8/1/14" 7/1/14" 6/1/14" 5/1/14" 4/1/14" 3/1/14" 2/1/14" 1/1/14" 12/1/13" 11/1/13" 10/1/13" 9/1/13" 0" 28.day"average"recorded" L. Suter Yale NPA Seminar 20 First analysis data • We began collecting physics data during the construction phase • Modular nature of detector means as soon as each Far Detector “diblock” (1 kton) was fully commissioned it was added • FD size is not static throughout our data set • Full suite of FD configurations is simulated in our analyses 3.45×1020 POT recorded Average 79.4% of full detector mass 2.74×1020 POT-equiv L. Suter Yale NPA Seminar • Biggest calibration correction applied to the NOvA detectors is due to attenuation in the wavelength shifting fiber calibration window Detector Calibration 21 Far Detector Data • Light levels drop by a factor of 8 across a FD cell • Muons (cosmic or ν induced) are used to probe detector response • Stopping muons provide standard candle for setting absolute energy scale • Also have multiple probes of the energy scale which all agree within 5% • Michele e- spectrum, π0 mass, dE/dx of µ, p Data MC 𝜋0 signal MC bkgd Data 𝜇: 134.2 ± 2.9 MeV Data 𝜎: 50.9 ± 2.1 MeV MC 𝜇: 136.3 ± 0.6 MeV MC 𝜎: 47.0 ± 0.7 MeV L. Suter Yale NPA Seminar 22 Surface far detector, rate is driven by cosmic muons Beam Record 10 µs beam window ± 270 µs side band Color denotes charge deposited L. Suter 23 Yale NPA Seminar Far detector 550µs NOvA event 0 1000 2000 3000 4000 5000 6000 x (cm) 500 0 − 500 Top view Beam direction y (cm) 500 0 − 500 Color denotes deposited charge Side view 0 1000 2000 3000 UTC Fri Jan 9, 2015 00:13:53.087341608 102 10 1 1043 102 10 10 1 5000 6000 z (cm) hits Run: 18620 / 13 Event: 178402 / -- hits NOvA - FNAL E929 4000 0 100 200 300 400 500 t (µsec) 10 102 3 10 q (ADC) L. Suter 24 Yale NPA Seminar Zoomed FD 10µs NOvA event 0 1000 2000 3000 4000 5000 6000 0 − 500 Top view y (cm) 500 Beam direction 0 − 500 Color denotes deposited charge Side view 0 Run: 18620 / 13 Event: 178402 / -UTC Fri Jan 9, 2015 00:13:53.087341608 102 10 1 218 2000 3000 4000 hits NOvA - FNAL E929 1000 5000 6000 z (cm) hits x (cm) 500 102 10 1 219 220 221 222 223 224 225 226 227 228 t (µsec) 10 102 3 10 q (ADC) L. Suter 25 Yale NPA Seminar Zoomed FD 10µs NOvA event 3000 3500 4000 4500 5000 5500 x (cm) 200 0 − 200 − 400 y (cm) 400 Top view Beam direction 200 Color denotes deposited charge 0 Side view Run: 18620 / 13 Event: 178402 / -UTC Fri Jan 9, 2015 00:13:53.087341608 4000 4500 102 10 1 222 222.2 222.4 222.6 222.8 223 223.2 223.4 223.6 223.8 224 hits NOvA - FNAL E929 3500 t (µsec) hits 3000 5000 5500 z (cm) 10 1 10 102 3 10 q (ADC) L. Suter 26 Yale NPA Seminar Zoomed ND 10µs NOvA event 200 0 200 400 600 800 1000 1200 1400 1600 x (cm) 100 0 − 100 Top view − 200 200 Beam direction y (cm) 100 0 Color denotes deposited time −100 −200 Side view 0 200 400 600 800 1000 1200 1400 1600 z (cm) UTC Mon Nov 10, 2014 00:10:35.977151232 102 10 1 218 hits Run: 10542 / 1 Event: 113296 / -- hits NOvA - FNAL E929 10 1 219 220 221 222 223 224 225 226 227 228 t (µsec) 10 102 3 10 q (ADC) L. Suter Yale NPA Seminar Muon Neutrino Disappearance 27 L. Suter Yale NPA Seminar Selecting Muon Neutrinos • Select νµ charged current events below 5 GeV • Suppress NC (both detectors) and cosmic backgrounds (FD only) • Containment cuts require a veto region around event • 4-variable k-nearest-neighbor used to identify muons • track length • dE/dx along track • scattering along track • track-only plane fraction • Large ND data sample used to validate simulation 28 L. Suter Yale NPA Seminar 29 Cosmic Rejection Rejection factor from beam timing: 105 event topology: 107 Cosmic rate measured directly with FD data. Output of cosmic rejection decision tree after all other cuts Based on reconstructed track direction, position, and length; and energy and number of hits in event L. Suter Yale NPA Seminar 30 Energy Estimation Muon energy determined from track length Fractional energy resolution Eν= Eµ+Ehad NOνA Preliminary 0.15 FD ND Hadronic energy contribution is calometric sum of offtrack hits Neutrino spectrum 0.10 0.05 0.00 1 2 3 4 True Neutrino Energy (GeV) 5 Energy resolution at 2 GeV beam peak is ~7% L. Suter Energy Estimation • See good agreement for muon simulation but the simulated hadronic system has 21% more energy than in data • The hadronic energy scale is recalibrated so the total energy peak of the data matches the MC • Correction taken as a systematic on the absolute energy scale • This results in 6% overall neutrino energy scale uncertainty • ND reconstructed energy distribution is used to produce a data driven prediction of the FD spectrum Yale NPA Seminar 31 L. Suter 32 Yale NPA Seminar Extrapolation method • Having a ND enables a data-driven method to predict the νµ energy spectrum at the FD • Removes the dependence on MC simulation of the flux • Identical detector construction cancels detector dependent systematic uncertainties • Bin-by-bin direct extrapolation using Far/Near ratio method 0.2 NO A Simulation ×10-3 Ratio(FD/ND) 0.18 0.16 Ratio 0.14 0.12 0.1 0.08 CC events 6e20 POT, FHC, 14kton µ 0.06 0.04 1 2 3 4 5 6 7 True Energy (GeV) 8 9 10 L. Suter 33 Yale NPA Seminar The Far/Near ratio extrapolation method 20 6 ×10 2. 3. 4. 5. reconstructed energy spectrum Use simulated ND migration matrix to transform to true energy spectrum Apply FD/ND flux ratio Apply oscillation prediction (or null prediction) Use FD migration matrix to translate back to reconstructed energy Events 1. Starting from observed ND ND, 1.66×10 POT NOνA Preliminary 0.12 Simulated ν µ CC Simulated Background 0.10 Data 0.08 0.06 0.04 0.02 0.00 0 1 2 3 4 Reconstructed Neutrino Energy (GeV) 5 L. Suter 34 Yale NPA Seminar The Far/Near ratio extrapolation method 1. Starting from observed ND 4. 5. 90000 80000 4 70000 60000 3 50000 40000 2 30000 20000 1 6e20 POT, FHC, 14kton 0 0 µ 1 10000 CC Contained QE ND events 2 3 4 Reconstructed Energy (GeV) 5 0 Events/6e20 POT/GeV 3. NO A Simulation 5 True Energy (GeV) 2. reconstructed energy spectrum Use simulated ND migration matrix to transform to true energy spectrum Apply FD/ND flux ratio Apply oscillation prediction (or null prediction) Use FD migration matrix to translate back to reconstructed energy L. Suter 35 Yale NPA Seminar The Far/Near ratio extrapolation method 1. Starting from observed ND 3. 4. 5. 0.2 NO A Simulation ×10-3 Ratio(FD/ND) 0.18 0.16 0.14 Ratio 2. reconstructed energy spectrum Use simulated ND migration matrix to transform to true energy spectrum Apply FD/ND flux ratio Apply oscillation prediction (or null prediction) Use FD migration matrix to translate back to reconstructed energy 0.12 0.1 0.08 µ 0.06 0.04 CC events 6e20 POT, FHC, 14kton 1 2 3 4 5 6 7 True Energy (GeV) 8 9 10 L. Suter Yale NPA Seminar 36 The Far/Near ratio extrapolation method 1. Starting from observed ND 4. 5. NO A Simulation 5 100 4 80 3 60 2 40 1 0 0 20 6e20 POT, FHC, 14kton µ CC Contained QE FD events 1 2 3 4 Reconstructed Energy (GeV) 5 0 Events/6e20 POT/GeV 3. True Energy (GeV) 2. reconstructed energy spectrum Use simulated ND migration matrix to transform to true energy spectrum Apply FD/ND flux ratio Apply oscillation prediction (or null prediction) Use FD migration matrix to translate back to reconstructed energy L. Suter 37 Yale NPA Seminar Systematic uncertainties NOνA Preliminary 3.5 Hadronic modeling systematic is only one with a noticeable effect Abs. had E scale syst. 3 All systs/osc. par. marg. 2.5 2 Uncertainties assessed POT-equiv. 90% sensitivity No systematics ∆m232 (10-3 eV2) Analysis statistically limited and all systematic uncertainties dominated by the absolute hadronic energy scale 20 NOν A 2.74 × 10 0.3 MC sensitivity 0.4 0.5 2 0.6 0.7 sin θ23 - NC and 𝜈𝜏 CC background rate - Hadronic energy (100% each) (21%, ~equiv. to 6% on E𝜈 ) - Multiple calibration and light-level systematics - Neutrino flux (Hit energy, fiber attenuation, threshold effects) (NA49 + beam transport model) - Oscillation parameter uncertainties - Absolute, relative normalization (current world knowledge) (1%, 2%) - Neutrino interactions (GENIE / Intranuke model) L. Suter 38 Yale NPA Seminar Selected νµ event − 2002200 2400 x (cm) − 400 2800 3000 3200 7 meters 3 meters − 300 2600 − 500 Top view − 100 Beam direction y (cm) − 200 − 300 Color denotes deposited charge − 400 Side view − 500 2200 2400 2600 2800 3000 3200 z (cm) UTC Tue Apr 22, 2014 21:41:51.422846016 hits Run: 14828 / 38 Event: 192569 / -- hits NOvA - FNAL E929 102 10 1 102 10 1 218 220 222 224 226 228 t (µsec) 10 102 3 10 q (ADC) L. Suter 39 Yale NPA Seminar Selected νµ event − 200 4200 4400 4600 4800 x (cm) 5200 5400 5600 5800 15 meters 1 meter − 300 5000 − 400 Top view − 200 Color denotes deposited charge y (cm) − 300 Beam direction − 400 Side view 4200 4400 4600 4800 5000 5200 5400 5600 5800 z (cm) UTC Sun Jan 11, 2015 15:46:53.665326720 hits Run: 18639 / 10 Event: 141206 / -- hits NOvA - FNAL E929 102 10 1 102 10 1 218 220 222 224 226 228 t (µsec) 10 102 3 10 q (ADC) L. Suter 40 Yale NPA Seminar Selected νµ event 4000 4200 4400 4600 4800 5000 5200 − 100 1.5 meters x (cm) − 200 − 300 − 400 Top view Color denotes deposited charge Beam direction y (cm) − 500 10 meters − 600 − 700 Side view 4000 4200 4400 4600 4800 5000 5200 z (cm) UTC Wed Oct 29, 2014 14:17:32.565656512 102 10 1 hits Run: 17953 / 38 Event: 256887 / -- hits NOvA - FNAL E929 102 10 1 218 220 222 224 226 228 t (µsec) 10 102 3 10 q (ADC) L. Suter Yale NPA Seminar νµ Disappearance Results • 201 events predicted without oscillations • Including 2 beam background and 1.4 cosmic events • 33 events observed! Oscillations fit the data well, 𝜒2/Ndof=12.6/16 41 L. Suter Yale NPA Seminar νµ Disappearance Results • 201 events predicted without oscillations • Including 2 beam background and 1.4 cosmic events • 33 events observed! Oscillations fit the data well, 𝜒2/Ndof=12.6/16 42 L. Suter 43 Yale NPA Seminar NOνA Preliminary 7 Selected candidates 6 Background Spill boundaries Events / µ s 5 4 3 2 1 0 200 220 240 260 280 300 Main track start Y (cm) ∆t from t0 (µ s) 800 1 600 0.9 0.8 400 0.7 200 0.6 0 0.5 −200 0.4 0.3 −400 0.2 −600 −800 0.1 0 1000 2000 3000 4000 5000 6000 0 Main track start Z (cm) Note 1: Second timing window at +64 µs required for some of the early data Note 2: Colors show relative efficiency. Not weighted by time variation in detector size. L. Suter Yale NPA Seminar 44 L. Suter 45 Yale NPA Seminar νµ oscillation probability NOνA Preliminary 3.5 –2.40 +0.14 -0.17 Normal Hierarchy 90% CL ×10-3 eV2 sin2(𝜃23) = 0.51 ± 0.10 6.5% measurement uncertainty ∆m232 (10-3 eV2) Δm2 = +0.16 +2.37 -0.15 NOν A 2.74 ×1020 POT-equiv. 68% CL 3 2.5 2 0.3 0.4 0.5 2 0.6 sin θ23 • Fully quantifying the hadronic response will be essential for the next generation of results 0.7 L. Suter Yale NPA Seminar 46 νµ oscillation probability Δm2 = +2.37 +0.16 -0.15 –2.40 +0.14 -0.17 ×10-3 eV2 sin2(𝜃23) = 0.51 ± 0.10 6.5% measurement uncertainty • Good compatibility with both MINOS and T2K • With less than 10% of the nominal final statistics NOνA is already competitive with the world limits L. Suter Yale NPA Seminar Electron Neutrino Appearance 47 L. Suter Yale NPA Seminar Selecting Electron Neutrinos • Aim to select a pure sample of νe charged current events at both detectors • Select events with electromagnetic showers • Suppress backgrounds from NC/νµCC/beam νe (for FD) and cosmic events • Basic cuts to remove obvious backgrounds: • Fiducial and Containment • Reconstructed pT/p • Remove very vertical events • Shower length • Number of hits • Calorimetric energy 48 L. Suter Yale NPA Seminar Selecting Electron Neutrinos Two complimentary electron identification algorithms Likelihood Identification: Compare dE/dx in transverse and longitudinal slices to simulated e/µ/pi/p+ distributions First plane will look MIP like but as move away from vertex dE/dx for e and µ will differ 49 L. Suter Yale NPA Seminar 50 Selecting Electron Neutrinos Two complimentary electron identification algorithms Library Event Matching: Pattern of energy deposition of entire event compared to a simulated event library • Compare an trial event to a MC library, using individual cell hits rather than highlevel reconstructed variables. • Extract a pattern function for the trail event cell by cell, including both position and charge information • Variables based on ‘goodness’ of the match to the best matching events, along with the calorimetric energy of the trial event are trained in a BDT L. Suter 51 Yale NPA Seminar Selecting Electron Neutrinos Near Detector Data Validate simulation using beam intrinsic νe’s Extrapolate beam intrinsic νe’s in the ND to predict background νe rate at the FD NOνA Preliminary 5 10 4 ND Data MC NC MC ν µ CC MC Beam ν e Total Beam MC Flux+Stat. uncertainty 4 10 Events/4.87×1019 POT Events/4.87×1019 POT NOνA Preliminary 5 10 3 10 102 10 ND Data MC NC MC ν µ CC MC Beam ν e Total Beam MC Flux+Stat. uncertainty 1 0.5 LID Likelihood Identification 103 102 10 1 10−1 10−1 0 10 1 0 0.2 0.4 0.6 LEM 0.8 Library Event Matching 1 L. Suter 52 Yale NPA Seminar Selecting Electron Neutrinos Near Detector Data NOνA Preliminary LID LID ND Data Events / 1.66 × 1020 POT Events / 1.66 × 1020 POT 500 Total MC (Flux + stat. uncert.) 400 MC Beam ν e MC NC 300 MC ν µ CC 200 100 0 0 NOνA Preliminary 1 2 3 4 5 Calorimetric Energy (GeV) 1000 LEM LEM ND Data Total MC (Flux + stat. uncert.) 800 MC Beam ν e MC NC 600 MC ν µ CC 400 200 0 0 1 2 3 Calorimetric Energy (GeV) • Good agreement after selection • Data selects ~5% more events than simulation 4 5 L. Suter Yale NPA Seminar Selecting Electron Neutrinos Far Detector Cosmic rejection • We achieve better than 1 part in 108 rejection of cosmic ray interactions • We measure this background using data collected outside of the beam spill • We expect 0.06 cosmic events to pass all selections 53 L. Suter 54 Yale NPA Seminar Predicting the FD events NOνA Preliminary • Use simulated F/N ratio in bins of • Predicted oscillated νe from ND νµ events • Extrapolate beam νe and NC events to predict FD beam backgrounds • FD cosmic rate determined from out of time FD data • Shape information not used just integrated number of events due to small number predicted events at FD Events / 1.66 × 1020 POT energy to extrapolate ND data LID 500 ND Data Total MC (Flux + stat. uncert.) 400 MC Beam ν e MC NC 300 MC ν µ CC 200 100 0 0 1 2 3 4 Calorimetric Energy (GeV) Before unblinding, we chose the more traditional LID as the primary selector 5 L. Suter Yale NPA Seminar 55 Systematic Uncertainties • Systematics assessed by modifying the simulation used in the extrapolation • Variation in the background and signal prediction taken as the size of the systematic signal background Calibration 𝜈 Interaction LID Scint. Saturation Normalization 𝜈 Flux ND BG composition Other Total Uncertainty 9.6% 0% 5% 10% 12.9% LEM has similar systematic uncertainties L. Suter 56 Yale NPA Seminar FD event prediction We expect about 1 background event • Small dependence on oscillation parameters Total Bkg Beam νe NC νµ CC ν𝝉 CC Cosmic LID 0.94 ± 0.09 0.47 0.36 0.05 0.02 0.06 LEM 1.00 ± 0.11 0.46 0.40 0.07 0.02 0.06 L. Suter 57 Yale NPA Seminar FD event prediction We expect about 1 background event • Small dependence on oscillation parameters Total Bkg Beam νe NC νµ CC ν𝝉 CC Cosmic LID 0.94 ± 0.09 0.47 0.36 0.05 0.02 0.06 LEM 1.00 ± 0.11 0.46 0.40 0.07 0.02 0.06 Signal prediction depends on oscillation parameters NH 𝜹CP=3π/2 IH 𝜹CP=π/2 LID 5.62 ± 0.72 2.24 ± 0.29 LEM 5.91 ± 0.59 2.34 ± 0.23 58 Yale NPA Seminar L. Suter νe Appearance Results NOνA Preliminary LID 0.8 2.74×1020 POT-equiv. FD data LID Best-fit prediction Events / 0.25 GeV Events / 0.25 GeV 2.74×1020 POT-equiv. 0.6 Background 0.4 0.2 0 1 NOνA Preliminary LEM 0.8 1.5 2 2.5 3 Calorimetric energy (GeV) LID: Selected 6 events 3.3σ significance for νe appearance 0.6 FD data LEM Best-fit prediction Background 0.4 0.2 0 1 1.5 2 2.5 3 Calorimetric energy (GeV) LEM: Select 11 events 5.5σ significance for νe appearance • All 6 LID events selected by LEM • Trinomial probability of selecting this combination (11:6/5/0) is 9.2% L. Suter Yale NPA Seminar 59 Selected νe event 3 meters 0.5 meter Top view Beam direction Side view Color denotes deposited charge L. Suter Yale NPA Seminar 60 Selected νe event 2.5 meters 1.5 meters Top view Beam direction Side view Color denotes deposited charge L. Suter 61 Yale NPA Seminar Selected νe event 4 meters 2.5 meters Top view Beam direction Side view Color denotes deposited charge L. Suter Yale NPA Seminar Event time (𝜇s) 62 L. Suter νe Appearance Results LID sin θ23 = 0.50 2π Normal hierarchy Best fit 3π 2 68% C.L. • Contours determined using 90% C.L. δCP Feldman-Cousins procedure 63 2 Yale NPA Seminar LID 2.74×1020 POT equiv. Reactor 68% C.L. π π 2 • Include errors on solar parameters • Atmospheric Δm2 varied within new NOvA errors • sin2θ23 held fixed at 0.5 NOvA Preliminary 2π Inverted hierarchy 3π 2 LID agreement with reactor measurements δCP • LID results in good π π 2 LID: Selected 6 events 3.3σ significance for νe appearance 0 0 0.1 0.2 0.3 sin22θ13 0.4 0.5 L. Suter νe Appearance Results LEM right • Some tension with reactor results, particularly in IH sin2θ23 = 0.50 2π Normal hierarchy NOvA Preliminary 3π 2 δCP • LEM curves shift to the 64 Yale NPA Seminar LEM 2.74×1020 POT equiv. LEM π π 2 2π Inverted hierarchy δCP 3π 2 π π 2 LEM: Select 11 events 5.5σ significance for νe appearance 0 0 0.1 0.2 0.3 sin22θ13 0.4 0.5 65 Yale NPA Seminar L. Suter νe Appearance Results Can additionally apply the global reactor constraint assuming sin22θ13= 0.086 ± 0.05 • LID shows mild tension with IH, 0 < 𝜹CP < 0.8π • LEM disfavors IH at greater than 2σ for all 𝜹CP Both statements hold for 0.4 < sin2θ23 < 0.6 3σ Inverted hierarchy Inverted hierarchy 4σ NOvA Preliminary 2σ Normal hierarchy LEM 90% Significance Significance 5σ Normal hierarchy LID sin2θ23 = 0.50 LEM 2.74×1020 POT equiv. sin2θ23 = 0.50 LID 2.74×1020 POT equiv. NOvA Preliminary 3σ 2σ 90% 1σ 1σ 0 0 π/2 π δCP 3π/2 2π 0 0 π/2 π δCP 3π/2 Jagged structure due to discrete nature of counting experiment 2π L. Suter 66 Yale NPA Seminar Summary • NOvA observes muon neutrino disappearance • 6.5% measurement of the atmospheric mass splitting • θ23 consistent with maximal mixing • Only 1/13th of proposed exposure • NOvA observes electron neutrino appearance selector, 5.5𝜎 for secondary selector. • Some preference for normal hierarchy • Beam returned in October • Plan to increase to 700kW by March 2016 • Double the exposure by next summer • Lots more data to come! at 3.3𝜎 for primary L. Suter 67 Yale NPA Seminar Octant determination after 3+3 years of running Lower Octant Upper Octant 2 5 NOνA octant determination 2 20 sin 2θ13=0.095, sin 2θ23=0.95, θ23<π/4 36×10 POT Inverted 4.5 Normal 4 3.5 3 2.5 2 1.5 1 0.5 0 0 0.2 0.4 0.6 0.8 1 δCP / π 1.2 1.4 1.6 1.8 2 significance of octant determination (σ) significance of octant determination (σ) NOνA octant determination 5 sin22θ13=0.095, sin22θ23=0.95, θ23>π/4 36×1020 POT Inverted 4.5 Normal 4 3.5 3 2.5 2 1.5 1 0.5 0 0 0.2 0.4 0.6 0.8 1 δCP / π 1.2 1.4 1.6 1.8 With 3 FHC + 3 RHC years NOvA has a potential sensitivity to the θ23 octant up to 2.5σ 2 L. Suter 68 Yale NPA Seminar νe sensitivities after 3+3 years of running with T2k CP violation significance 36×1020 POT NOνA significance of CP violation (σ) sin22θ13=0.095, sin22θ23=1.00 + 7×1021 POT T2K Inverted 3 Normal 2.5 2 1.5 1 0.5 0 0 0.2 0.4 0.6 0.8 1 δCP / π 1.2 1.4 1.6 1.8 2 36×1020 POT NOνA NOνA+T2K hierarchy resolution significance of hierarchy resolution (σ) NOνA+T2K CPV determination 3.5 Mass hierarchy significance 4 sin22θ13=0.095, sin22θ23=1.00 + 7×1021 POT T2K Inverted 3.5 Normal 3 2.5 2 1.5 1 0.5 0 0 0.2 0.4 0.6 0.8 1 δCP / π 1.2 1.4 1.6 With 3 FHC + 3 RHC years NOvA has a potential neutrino mass hierarchy sensitivity up to 3σ and neutrino sector CP violation up to 2σ 1.8 2 L. Suter 69 Yale NPA Seminar Comparison of cosmic data and MC NOνA Preliminary NOνA Preliminary Events/1 year exposure Events/1 year exposure 15000 60000 40000 Far Detector Data 20000 Cosmic Simulation 0 -1 -0.5 0 Cosine of Angle to Beam 0.5 Far Detector Data Cosmic Simulation 10000 5000 0 0 1 2 4 6 Calorimetric Energy (GeV) NOνA Preliminary Events/1 year exposure Events/1 year exposure 4 Cosmic Simulation 10 103 -500 0 Vertex Y (cm) 500 10 NOνA Preliminary 105 Far Detector Data 8 10000 Far Detector Data 8000 Cosmic Simulation 6000 4000 2000 0 0 100 200 300 Number of Hits per Slice 400 500 L. Suter 70 Yale NPA Seminar Comparison of cosmic data and MC NOνA Preliminary ×103 NOνA Preliminary 3 5 ×10 1.5 Cosmic data 4 Events/6e20 POT Events/6e20 POT Cosmic data Cosmic MC (scaled to data) 1 0.5 Cosmic MC (scaled to data) 3 2 1 0 0 0.2 0.4 0.6 0.8 Cosine of angle between track and beam 1 0 0.2 0.4 0.6 νµ CC Event ID 0.8 1 L. Suter Yale NPA Seminar Reverse Horn current 71 L. Suter Yale NPA Seminar Forward Horn current 72 L. Suter Yale NPA Seminar 73 344,064 channels! 99.5% operational L. Suter 74 Yale NPA Seminar Chi2 vs Delta 12 12 Normal hierarchy Inverted hierarchy 10 Inverted hierarchy 8 -2∆logL -2∆logL Normal hierarchy 10 8 6 6 4 4 2 2 00 sin2θ23 = 0.50 LEM 2.74×1020 POT equiv. sin2θ23 = 0.50 LEM 2.74×1020 POT equiv. π/2 π δCP 3π/2 2π 00 π/2 π δCP 3π/2 2π L. Suter 75 Yale NPA Seminar LID 2.74×1020 POT equiv. sin2θ23 = 0.40 2π Normal hierarchy LID Best fit 3π 2 68% C.L. δCP 90% C.L. Reactor 68% C.L. π π 2 NOvA Preliminary 2π Inverted hierarchy δCP 3π 2 π π 2 0 0 0.1 0.2 0.3 sin22θ13 0.4 0.5 L. Suter 76 Yale NPA Seminar LID 2.74×1020 POT equiv. sin2θ23 = 0.60 2π Normal hierarchy LID Best fit 3π 2 68% C.L. δCP 90% C.L. Reactor 68% C.L. π π 2 NOvA Preliminary 2π Inverted hierarchy δCP 3π 2 π π 2 0 0 0.1 0.2 0.3 sin22θ13 0.4 0.5 L. Suter 77 Yale NPA Seminar LEM 2.74×1020 POT equiv. sin2θ23 = 0.60 2π Normal hierarchy LEM δCP 3π 2 NOvA Preliminary π π 2 2π Inverted hierarchy δCP 3π 2 π π 2 0 0 0.1 0.2 0.3 sin22θ13 0.4 0.5 L. Suter 78 Yale NPA Seminar sin2θ23 = 0.40 LID 2.74×1020 POT equiv. 3σ Normal hierarchy Significance Inverted hierarchy NOvA Preliminary 2σ 90% 1σ sin2θ23 = 0.40 LEM 2.74×1020 POT equiv. 5σ 0 π/2 π δCP 3π/2 Normal hierarchy 2π Inverted hierarchy 4σ Significance 0 NOvA Preliminary 3σ 2σ 90% 1σ 0 0 π/2 π δCP 3π/2 2π L. Suter 79 Yale NPA Seminar sin2θ23 = 0.60 LID 2.74×1020 POT equiv. 3σ Normal hierarchy Significance Inverted hierarchy NOvA Preliminary 2σ 90% 1σ sin2θ23 = 0.60 LEM 2.74×1020 POT equiv. 5σ 0 π/2 π δCP 3π/2 Normal hierarchy 2π Inverted hierarchy 4σ Significance 0 NOvA Preliminary 3σ 2σ 90% 1σ 0 0 π/2 π δCP 3π/2 2π L. Suter 80 Yale NPA Seminar νµ oscillation probability NOνA Preliminary 12 Data NOν A normal hierarchy Events / 0.25 GeV 10 Best fit prediction (no systs) 20 2.74×10 POT-equiv Expected 1-σ syst range Best fit χ2=12.64 / 16 dof Best fit prediction (systs) 8 Backgrounds 6 4 2 0 0 1 2 3 4 Reconstructed Neutrino Energy (GeV) • Systematics included as nuisance parameters • Hadronic energy • Flux, normalization, cross sections, NC bkg rate, calibration 5 L. Suter Yale NPA Seminar Flux uncertainties • NOνA flux modeled using FLUKA/ FLUGG • For each detector the flux uncertainty is large (~20% at 2 GeV peak) and dominated by the hadron production uncertainties • Estimated by comparing the NuMI NOνA flux peak target MC predictions to the the thintarget data from NA49 • Hadron transport uncertainties were also investigated • NuMI target and horn positions, horn current and magnetic field uncertainties, and beam spot size and position • Determined to be small compared to hadron production uncertainties NOνA flux peak 81 L. Suter Yale NPA Seminar 82 NOνA flux peak Flux uncertainties are highly correlated between the two detectors. In F/N ratio flux uncertainty reduced to percent level L. Suter 83 Yale NPA Seminar Systematic uncertainties summary Systematic Value @ 1σ Best fit (σ) Bkg. (NC and ντ) 100% 0.06 Absolute Normalization 1.3% 0.0004 Absolute Hadronic energy scale 22% -0.67 Absolute energy scale 1% 0.06 Beam Energy dependent (20% @ 2 GeV) -0.02 Relative Normalization 1.3% -0.03 Relative Hadronic energy scale 5.4% 0.05 GENIE Ma 15-25% -0.06 GENIE Mv 10% -0.06 Oscillation parameters marginalized over in fit δCP = Unconstrained, Δm221 = (7.53 ± 0.18)×10-5 , sin22θ13 = 0.086 ± 0.005, sin2θ12 = 0.846 ± 0.021 L. Suter Energy resolution Yale NPA Seminar 84 L. Suter NOνA Preliminary 20 3 ×10 ND, 1.66×10 POT ND, 1.66×10 POT NOνA Preliminary Simulated ν µ CC Simulated Background Simulated ν µ CC Simulated Background 0.15 Data Events 60 Events 20 6 ×10 Hadronic energy 80 85 Yale NPA Seminar 40 Data 0.10 0.05 20 0 0 0.00 0 20 40 Hadronic NHit (GeV) 20 ×106 60 ND, 1.66×10 POT 0.20 80 1 2 3 4 5 Hadronic energy (GeV) 100 NOνA Preliminary NOνA Preliminary 20 ×106 ND, 1.66×10 POT 0.15 Simulated ν µ CC Simulated Background Simulated ν µ CC Simulated Background Data Data 0.15 Events Events 0.10 0.10 0.05 0.05 0.00 0 1 2 3 4 Slice Calorimetric Energy (GeV) 5 0.00 0 0.01 0.02 0.03 Average Hadronic Energy Per Hit (GeV) 0.04 L. Suter Uncertainties on hadron production from NA49 Yale NPA Seminar 86 L. Suter 87 Yale NPA Seminar Signal Prediction • Signal predictions based on ND νµCC energy spectrum • No direct benchmark of simulation of signal events • Independent EM samples show good data/MC agreement Data MC 𝜋0 signal MC bkgd Data 𝜇: 134.2 ± 2.9 MeV Data 𝜎: 50.9 ± 2.1 MeV MC 𝜇: 136.3 ± 0.6 MeV MC 𝜎: 47.0 ± 0.7 MeV L. Suter 88 Yale NPA Seminar Background characteristics Both selection techniques achieve good sensitivity to νe appearance NOνA FD, Background, LID NOνA Simulation • 35% signal selection efficiency Selected background dominated by beam νe and NC DIS events • Most NC events have an energetic π0 Events/3.52×1020 POT (wrt containment) • Reject 99.7% of NC backgrounds • 62% expected overlap of the signal 0.25 ν µCC QE ν µCC Res ν µCC DIS ν µCC Coh ν eCC QE ν eCC Res ν eCC DIS ν eCC Coh NC QE NC Res NC DIS NC Coh 0.2 0.15 0.1 0.05 0 1 1.5 2 2.5 Calorimetric Energy (GeV) 3 L. Suter 89 Yale NPA Seminar Calibration uncertainty Hadronic energy scale • Determine 21% hadronic energy correction (6% on Eν) using ND data • Hadronic energy scale determined from tuning data to very well known off-axis Eν energy peak • We conservatively take a 100% absolute uncertainty on this correction • The ND and FD have different acceptances due to their different sizes • This is our largest systematic uncertainty # events / 1.66e20 POT # events / 1.66e20 POT NOν A Preliminary 50000 All ν µ cuts applied ND MC ND data (recalibrated) 40000 30000 20000 NOν A Preliminary 20000 All ν µ cuts applied ND MC 15000 ND data (recalibrated) 10000 5000 10000 0 0 0.5 1 1.5 2 2.5 3 Reconstructed Hadronic E (GeV) 0 0 1 2 3 4 5 Reconstructed neutrino E (GeV) Combined to give a 22% total absolute hadronic energy uncertainty L. Suter 90 Yale NPA Seminar Calibration uncertainty Hadronic energy scale • Estimate relative uncertainty due to the different detector acceptances • As 21% scale is calculated using ND data may be optimized for only ND • Investigated by allowing the normalization and the energy scale of DIS, RES and QE events (as defined by GENIE) to float • Do a three parameter simultaneous fit of Eν, Eµ and Ehad • Take the difference between the one-parameter scaling used and this interaction-dependent scaling to determine the relative uncertainty Determine a 2% relative uncertainty and 1% relative normalization uncertainty NOν A Preliminary NOν A Preliminary All ν µ cuts applied 40000 All ν µ cuts applied Events / 1.66e20 POT Events / 1.66e20 POT ND data ND data 15000 ND MC 3-par fit 30000 ND MC 3-par fit 10000 20000 10000 0 0 0.5 1 1.5 2 Reconstructed hadronic energy (GeV) 2.5 3 5000 0 0 1 2 3 Reconstructed neutrino energy (GeV) 4 Combined to give a 5% total relative hadronic energy uncertainty 5 L. Suter Yale NPA Seminar Simulation 91 Highly detailed end-to-end simulation chain • Beam hadron production, propagation; neutrino flux: FLUKA/FLUGG • Cosmic ray flux: CRY • Neutrino interactions and FSI modeling: GENIE • Detector simulation: GEANT4 • Readout electronics and DAQ: Custom simulation routines X (m) Simulation: Locations of neutrino interactions that produce activity in the Near Detector Ryan Patterson, Caltech Fermilab JETP, August 6, 2015 L. Suter Energy Scale Yale NPA Seminar NC 𝜋0 events • All agree to 5% Data MC 𝜋0 signal MC bkgd Data 𝜇: 134.2 ± 2.9 MeV Data 𝜎: 50.9 ± 2.1 MeV MC 𝜇: 136.3 ± 0.6 MeV MC 𝜎: 47.0 ± 0.7 MeV • Near Detector • cosmic 𝜇 dE/dx [~vertical] • beam 𝜇 dE/dx [~horizontal] • Michel e- spectrum • 𝜋0 mass • hadronic shower E-per-hit • Far Detector • cosmic 𝜇 dE/dx [~vertical] • beam 𝜇 dE/dx [~horizontal] • Michel e- spectrum 92 𝜈𝜇 CC events L. Suter Reconstruction Yale NPA Seminar 93 Vertexing: Find lines of energy depositions w/ Hough transform CC events: 11 cm resolution Clustering: Find clusters in angular space around vertex. Merge views via topology and prong dE/dx Tracking: Trace particle trajectories with Kalman filter tracker (below). Also have a cosmic ray tracker: lightweight, very fast, and useful for large calibration samples and online monitoring tools. Ryan Patterson, Caltech L. Suter 94 Yale NPA Seminar Making a Neutrino Beam Production • • • • • Focusing Decay Monitoring Enhanced 700kW NuMI beam line Cycle time from 2.2 s to 1.3 s using Recycler slip-stacking Increased intensity: 12 Booster batches up from 11 New high power target New horn, reconfigured for higher energy beam