First Anti-neutrino results!

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Presentation transcript:

First Anti-neutrino results! MINIBOONE  e First Anti-neutrino results! H. Ray , University of Florida

The Notorious LSND Result E =20-52.8 MeV L =25-35 meters 3.8 excess Different from other oscillation signals Higher m2 Smaller mixing angle Much smaller probability (very small signal) ~0.3% Posc =sin22 sin2 1.27 m2 L E H. Ray , University of Florida

Testing LSND Want same L/E Different detection method Different sources of systematic errors Test for oscillations using neutrinos, anti-neutrinos Me < 2.2 ev, mmu < 170 keV, mtau < 1.5 MeV H. Ray , University of Florida

MiniBooNE Neutrino Beam Mesons decay into the anti-neutrino beam seen by the detector K- / -  - +  -  e- +  + e MiniBooNE L/E = 0.5 km / 0.8 GeV (.625) LSND L/E = 0.03 km / 0.05 GeV (.6) Anti-nu analysis uses 3.386E20 protons on target H. Ray , University of Florida

MiniBooNE Detector 12.2 meter diameter sphere Pure mineral oil 1st expt to use non-doped oil! MB = 800 tons, index of refraction = 1.47 1 PE = 0.2 MeV Charge resolution = 1.4, 0.5 PE Time resolution = 1.7 ns, 1.1 ns Laser calibration system 12.2 meter diameter sphere Pure mineral oil 2 regions Inner light-tight region, 1280 PMTs (10% coverage) Optically isolated outer veto-region, 240 PMTs H. Ray , University of Florida

Event Signature charged-current quasi-elastic events νe p → e+ n H. Ray , University of Florida

MiniBooNE Analysis MiniBooNE is looking for  e oscillations MiniBooNE is looking for an excess of e (appearance) MiniBooNE performing a blind analysis Some of the info in all of the data Charge per PMT as a function of time All of the info in some of the data ~oscillation free sample to be open for analysis Low-E NC elastic events,  CCQE,  CC+ e candidate events locked away until the analysis 100% complete Same strategy as neutrino mode H. Ray , University of Florida

Neutrino Mode Result Used 2 complementary analyses Phys. Rev. Lett. 98, 231801 (2007) Used 2 complementary analyses ruled out interpretation of LSND as νμ→νe oscillations two-nu oscillations standard L/E depend. no CP, CPT violation Unexplained excess of events in low-energy region Excess incompat. With 2-nu lsnd-style oscillations H. Ray , University of Florida

Anti-neutrino Analysis Similarities with neutrino mode Using two complementary analyses Using same algorithms Same event selection cuts Changes made wrt neutrino mode Added an event selection cut that removes most of the dirt (out of tank) background at low energy Added k- production systematic error New NC π0 measurement New dirt fraction extracted H. Ray , University of Florida

Simultaneous Fit to anti- Particle Identification Analysis Chain Track Based Analysis Simultaneous Fit to anti- and anti- e events Beam Flux Prediction Cross Section Model Optical Model Event Reconstruction Particle Identification Start with a Geant 4 flux prediction for the nu spectrum from  and K produced at the target Predict nu interactions using the Nuance event generator Pass final state particles to Geant 3 to model particle, light propagation in the tank Use track-based event reco Use hit topology and timing to identify electron-like or muon-like charged current neutrino interactions Fit reco. energy spectrum for oscillations H. Ray , University of Florida

Simultaneous Fit to anti- Particle Identification Analysis Chain Boosted Decision tree Simultaneous Fit to anti- and anti- e events Beam Flux Prediction Cross Section Model Optical Model Event Reconstruction Particle Identification Start with a Geant 4 flux prediction for the nu spectrum from  and K produced at the target Predict nu interactions using the Nuance event generator Pass final state particles to Geant 3 to model particle, light propagation in the tank Use point-source event reco Use boosted decision tree to identify electron-like or muon-like charged current neutrino interactions Fit reco. energy spectrum for oscillations H. Ray , University of Florida

500 MeV < Reconstructed Neutrino Energy < 1.25 GeV Expected Backgrounds 500 MeV < Reconstructed Neutrino Energy < 1.25 GeV 3.386e20 POT Track Based Analysis Boosting Analysis Predictions of these bgds = majority of errors Dirt + ccqe + other numu = 578 + 492 + 126 vs + 17 + 24 + 15 Pi0 = 1096 vs 84 Delta = 135 vs 19 Kp = 334 vs 121 K0 = 86 vs 28 Mup = 413 vs 160 Pip = other nue = 12 vs 5  mis-id backgrounds Intrinsic e backgrounds H. Ray , University of Florida

Expected Sensitivity As in neutrino mode, TBA is the more sensitive (default) analysis. BDT is the cross-check analysis H. Ray , University of Florida

Expected Background Events Background composition for TBA analysis (3.386e20 POT) 200-475 MeV 475-1250 MeV e from ±, ± 8.44 17.14 e from k±,0 8.20 24.88 Other e 1.11 1.21 CCQE 2.86 1.24 NC 0 24.60 7.17 Delta Rad 6.58 2.02 Dirt 4.69 1.92 Other  3.82 2.20 Total Bgd 60.29 57.78 LSND Best Fit 4.33 12.63 [note: statistical-only errors shown] Intrinsic e  mis-id LSND best-fit (Δm2, sin22θ)=(1.2,0.003) H. Ray , University of Florida

Systematic Uncertainties Track Based Analysis Source EνQE range (MeV) 200-475 475-1100 Flux from π+/μ+ decay 0.4 0.7 1.8 2.2 Flux from π-/μ- decay 3.3 0.1 0.2 Flux from K+ decay 2.3 4.9 1.4 5.7 Flux from K- decay 0.5 1.1 - Flux from K0 decay 1.5 Target and beam models 1.9 3.0 1.3 2.5 ν-cross section 6.4 12.9 5.9 11.9 NC π0 yield 1.7 1.6 Hadronic interactions 0.6 0.8 0.3 External interactions (dirt) 2.4 1.2 Optical model 9.8 2.8 8.9 Electronics & DAQ model 9.7 5.0 Total (unconstrained) 16.3 16.2 12.3 14.2 Antinu Mode Nu Mode From fits to world’s data (HARP, Kaon production) H. Ray , University of Florida

Systematic Uncertainties Track Based Analysis Source EνQE range (MeV) 200-475 475-1100 Flux from π+/μ+ decay 0.4 0.7 1.8 2.2 Flux from π-/μ- decay 3.3 0.1 0.2 Flux from K+ decay 2.3 4.9 1.4 5.7 Flux from K- decay 0.5 1.1 - Flux from K0 decay 1.5 Target and beam models 1.9 3.0 1.3 2.5 ν-cross section 6.4 12.9 5.9 11.9 NC π0 yield 1.7 1.6 Hadronic interactions 0.6 0.8 0.3 External interactions (dirt) 2.4 1.2 Optical model 9.8 2.8 8.9 Electronics & DAQ model 9.7 5.0 Total (unconstrained) 16.3 16.2 12.3 14.2 Antinu Mode Nu Mode Internal MB measurements H. Ray , University of Florida

Systematic Uncertainties Track Based Analysis Determined by special runs of the beam MC. All beam uncertainties not coming from meson production by 8 GeV protons are varied one at a time. variations are treated as 1σ excursions, prop into a final error matrix. Source EνQE range (MeV) 200-475 475-1100 Flux from π+/μ+ decay 0.4 0.7 1.8 2.2 Flux from π-/μ- decay 3.3 0.1 0.2 Flux from K+ decay 2.3 4.9 1.4 5.7 Flux from K- decay 0.5 1.1 - Flux from K0 decay 1.5 Target and beam models 1.9 3.0 1.3 2.5 ν-cross section 6.4 12.9 5.9 11.9 NC π0 yield 1.7 1.6 Hadronic interactions 0.6 0.8 0.3 External interactions (dirt) 2.4 1.2 Optical model 9.8 2.8 8.9 Electronics & DAQ model 9.7 5.0 Total (unconstrained) 16.3 16.2 12.3 14.2 Antinu Mode Nu Mode Uncert. in a number of hadronic processes, mainly photonuclear interaction final state uncertainties in light creation, propagation, and detection in the Tank. Use set of 130 MC “multisims” that have been run where all these parameters are varied according to their input uncertainties. H. Ray , University of Florida

Systematic Uncertainties Track Based Analysis Source EνQE range (MeV) 200-475 475-1100 Flux from π+/μ+ decay 0.4 0.7 1.8 2.2 Flux from π-/μ- decay 3.3 0.1 0.2 Flux from K+ decay 2.3 4.9 1.4 5.7 Flux from K- decay 0.5 1.1 - Flux from K0 decay 1.5 Target and beam models 1.9 3.0 1.3 2.5 ν-cross section 6.4 12.9 5.9 11.9 NC π0 yield 1.7 1.6 Hadronic interactions 0.6 0.8 0.3 External interactions (dirt) 2.4 1.2 Optical model 9.8 2.8 8.9 Electronics & DAQ model 9.7 5.0 Total (unconstrained) 16.3 16.2 12.3 14.2 Antinu Mode Nu Mode Fit to the anti-νμ CCQE and anti-νe candidate spectra simultaneously. takes advantage of strong correlations between anti-νe signal, background, and the anti-νμ CCQE sample, reduces systematic uncertainties and constrains intrinsic anti-νe from muon decay Antineutrino appearance search is statistics limited! H. Ray , University of Florida

Observed Event Distribution Counting Expt : 200 MeV < EQE< 475 MeV 61 observed evts 61.5 ± 11.7 expected events Excess over background : -0.04 Counting Expt : 475 MeV < EQE< 1.250 GeV 61 observed evts 57.8 ± 10.0 expected events Excess over background : 0.3 H. Ray , University of Florida

Excess Distribution (Δm2, sin22θ) = (4.4 eV2, 0.004) χ2best-fit(dof) = 18.18 (17) χ2-probability = 37.8% H. Ray , University of Florida

Event Summary arXiv:0812.2243 EνQE range (MeV) anti-ν mode ν mode (3.386e20 POT) (6.486e20 POT) 200-300 300-475 200-475 475-1250 Data 24 232 MC ± sys+stat (constr.) 27.2 ± 7.4 186.8 ± 26.0 Excess (σ) -3.2 ± 7.4 (-0.4σ) 45.2 ± 26.0 (1.7σ) Data 37 312 MC ± sys+stat (constr.) 34.3 ± 7.3 228.3 ± 24.5 Excess (σ) 2.7 ± 7.3 (0.4σ) 83.7 ± 24.5 (3.4σ) Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) Data 61 408 MC ± sys+stat (constr.) 57.8 ± 10.0 385.9 ± 35.7 Excess (σ) 3.2 ± 10.0 (0.3σ) 22.1 ± 35.7 (0.6σ) Excess Deficit H. Ray , University of Florida

Implications for Low-E Excess Maximum χ2 probability from fits to ν and ν excesses in 200-475 MeV range Stat Only Correlated Syst Uncorrelated Syst Same ν,ν NC 0.1% 0.1% 6.7% NC π0 scaled 3.6% 6.4% 21.5% POT scaled 0.0% 0.0% 1.8% Bkgd scaled 2.7% 4.7% 19.2% CC scaled 2.9% 5.2% 19.9% Low-E Kaons 0.1% 0.1% 5.9% ν scaled 38.4% 51.4% 58.0% _ Preliminary (upper and lower bounds) _ Same ν and ν NC cross-section (HHH axial anomaly), POT scaled, Low-E Kaon scaled: strongly disfavored as an explanation of the MiniBooNE low energy excess! most preferred modeL: low-energy excess comes from neutrinos in the beam (no contribution from anti-neutrinos) Currently in process of more careful consideration of correlation of systematics in neutrino and antineutrino mode… results coming soon! H. Ray , University of Florida

Final Limits No strong evidence for oscillations in anti-nu mode Analysis limited by stat No evidence of excess at low energy in anti-nu mode Combine nu, anti-nu for low-E analysis Data collection continuing through June, 09 NuMI analysis in 2009! 3.386e20 POT Add BDT limit H. Ray , University of Florida

Backup Slides

The Notorious LSND  e 800 MeV proton beam + H20 target, Copper beam stop 167 ton tank, liquid scintillator, 25% PMT coverage E =20-52.8 MeV L =25-35 meters e + p  e+ + n n + p  d +  (2.2 MeV)  e H. Ray , University of Florida

Neutrino Event Composition intrinsic e  mis-id Likelihood Analysis Boosting Analysis Predictions of these bgds = majority of errors Dirt + ccqe + other numu = 578 + 492 + 126 vs + 17 + 24 + 15 Pi0 = 1096 vs 84 Delta = 135 vs 19 Kp = 334 vs 121 K0 = 86 vs 28 Mup = 413 vs 160 Pip = other nue = 12 vs 5 H. Ray , University of Florida

Flux Prediction nu mode Anti-nu mode Intrinsic background to oscillation analysis Wrong sign contamination Intrinsic background to oscillation analysis Wrong sign contamination Much larger wrong sign component in anti-neutrino analysis H. Ray , University of Florida

Systematic Errors Central Value MC K+ error # multisims Use Multisims to calculate systematic errors In each MC event vary all parameters at once, according to a full covariance matrix Ex : Feynman scaling of K+ varies 8 params simultaneously Vary full set of parameters many times per event OM = 70 multisims. All other errors = 1000 Use this information to form an error matrix Central Value MC K+ error # multisims #evts in 1 E bin H. Ray , University of Florida

Checked or Constrained by data Systematic Errors Error Track vs Boosting (%) Checked or Constrained by data DAQ 7.5 / 10.8  Target/Horn 2.8 / 1.3 + Flux 6.2 / 4.3 K+ Flux 3.3 / 1.0 K0 Flux 1.5 / 0.4 Dirt 0.8 / 3.4 NC 0 yield 1.8 / 1.5 Neutrino Xsec 12.3 / 10.5 OM 6.1 / 10.5 Daq/target/horn : skin depth, horn currenet, nucl inelastic xsec, Nuc qe xsec, nuc tot xsec, pion inel & qe & tot xsec H. Ray , University of Florida

H. Ray , University of Florida

Expected Event Composition Nevents 200-475 MeV 475-1250 MeV intrinsic νe 17.74 43.23 from π±/μ± 8.44 17.14 from K±, K0 8.20 24.88 other νe 1.11 1.21 mis-id νμ 42.54 14.55 CCQE 2.86 1.24 NC π0 24.60 7.17 Δ radiative 6.58 2.02 Dirt 4.69 1.92 other νμ 3.82 2.20 Total bkgd 60.29 57.78 LSND best fit 4.33 12.63 nm m+ W+ p n μ+ can… …capture on C …decay too quickly …have too low energy H. Ray , University of Florida

Expected Event Composition Nevents 200-475 MeV 475-1250 MeV intrinsic νe 17.74 43.23 from π±/μ± 8.44 17.14 from K±, K0 8.20 24.88 other νe 1.11 1.21 mis-id νμ 42.54 14.55 CCQE 2.86 1.24 NC π0 24.60 7.17 Δ radiative 6.58 2.02 Dirt 4.69 1.92 other νμ 3.82 2.20 Total bkgd 60.29 57.78 LSND best fit 4.33 12.63 Coherent π0 production nm nm γ Z p0 γ A A H. Ray , University of Florida

Expected Event Composition Nevents 200-475 MeV 475-1250 MeV intrinsic νe 17.74 43.23 from π±/μ± 8.44 17.14 from K±, K0 8.20 24.88 other νe 1.11 1.21 mis-id νμ 42.54 14.55 CCQE 2.86 1.24 NC π0 24.60 7.17 Δ radiative 6.58 2.02 Dirt 4.69 1.92 other νμ 3.82 2.20 Total bkgd 60.29 57.78 LSND best fit 4.33 12.63 Resonant π0 production nm nm γ Z p0 γ p D+ p H. Ray , University of Florida

Expected Event Composition Nevents 200-475 MeV 475-1250 MeV intrinsic νe 17.74 43.23 from π±/μ± 8.44 17.14 from K±, K0 8.20 24.88 other νe 1.11 1.21 mis-id νμ 42.54 14.55 CCQE 2.86 1.24 NC π0 24.60 7.17 Δ radiative 6.58 2.02 Dirt 4.69 1.92 other νμ 3.82 2.20 Total bkgd 60.29 57.78 LSND best fit 4.33 12.63 …and some times… Δ radiative decay nm nm Z g p D+ p H. Ray , University of Florida

Expected Event Composition Nevents 200-475 MeV 475-1250 MeV intrinsic νe 17.74 43.23 from π±/μ± 8.44 17.14 from K±, K0 8.20 24.88 other νe 1.11 1.21 mis-id νμ 42.54 14.55 CCQE 2.86 1.24 NC π0 24.60 7.17 Δ radiative 6.58 2.02 Dirt 4.69 1.92 other νμ 3.82 2.20 Total bkgd 60.29 57.78 LSND best fit 4.33 12.63 shower dirt MiniBooNE detector H. Ray , University of Florida

_ ν ν Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) 200-475 MeV How consistent are excesses in neutrino and antineutrino mode under different underlying hypotheses as the source of the low energy excess in neutrino mode? Scales with POT Same NC cross section for neutrinos and antineutrinos Scales as π0 background Scales with neutrinos (not antineutrinos) Scales with background Scales as the rate of Charged-Current interactions Scales with Kaon rate at low energy Give a more detailed example of the simplest case, where the excess is assumed to scale with POT, and then brefly discuss the assumptions behing some of the other hhypotheses H. Ray , University of Florida

ν ν _ 200-475 MeV Performed 2-bin χ2 test for each assumption Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) 200-475 MeV Performed 2-bin χ2 test for each assumption Calculated χ2 probability assuming 1 dof The underlying signal for each hypothesis was allowed to vary (thus accounting for the possibility that the observed signal in neutrino mode was a fluctuation up, and the observed signal in antineutrino mode was a fluctuation down), and an absolute χ2 minimum was found. Three extreme fit scenarios were considered: Statistical-only uncertainties Statistical + fully-correlated systematics Statistical + fully-uncorrelated systematics Throwing out everything we know on how much systematic errors and fluctuations are allowed, we consider three fit scenarios in extracting a chi2 probability… In reality the true chi2 probability will fall somewhere between the second and third fit, H. Ray , University of Florida

ν ν _ 200-475 MeV Eg.: scales with POT (e.g. “paraphotons”,…) Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) 200-475 MeV Eg.: scales with POT (e.g. “paraphotons”,…) Antineutrino POT: 3.386e20 Antineutrino POT Neutrino POT: 6.486e20 Neutrino POT One would expect a ν excess of ~(128.8 events)*0.52 = ~67 events = 0.52 Or any other process stemming from production of neutral particles at target Obviously this should be highly disfavored by the data, but one could imagine a scenario where the neutrino mode observed excess is a fluctuation up from true underlying signal and the antineutrino mode excess is a fluctuation down, yielding a lower χ2… H. Ray , University of Florida

_ ν ν Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) 200-475 MeV Eg.: Same NC cross section for neutrinos and antineutrinos (e.g., HHH axial anomaly) Expected rates obtained by integrating flux across all energies for neutrino mode, and antineutrino mode [Harvey, Hill, and Hill, hep-ph0708.1281] H. Ray , University of Florida

_ ν ν Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) 200-475 MeV Eg.: Scales as π0 background (same NC ν and ν cross-section ratio) Expected rates obtained by integrating flux across all energies for neutrino mode, and antineutrino mode Mis-estimation of π0 background? Or other Neutral-Current process? For π0 background to fully account for MB ν mode excess, it would have to be mis-estimated by a factor of two… …but we have measured MB π0 event rate to a few percent! _ [Phys. Lett. B664, 41 (2008)] H. Ray , University of Florida

ν ν _ Eg.: Scales with neutrinos (in both running modes) Data 61 544 MC ± sys+stat (constr.) 61.5 ± 11.7 415.2 ± 43.4 Excess (σ) -0.5 ± 11.7 (-0.04σ) 128.8 ± 43.4 (3.0σ) 200-475 MeV Eg.: Scales with neutrinos (in both running modes) In neutrino mode, 94% of flux consists of neutrinos In antineutrino mode, 82% of flux consists of antineutrinos, 18% of flux consists of neutrinos Predictions are allowed to scale according to neutrino content of the beam H. Ray , University of Florida

χ2null(dof)1 χ2best-fit(dof)1 χ2LSND best-fit(dof) EνQE fit > 200 MeV > 475 MeV χ2null(dof)1 χ2best-fit(dof)1 χ2LSND best-fit(dof) χ2-prob χ2-prob χ2-prob 20.18(19) 18.18(17) 20.14(19) 38.4% 37.8% 38.6% 17.88(16) 15.91(14) 17.63(16) 33.1% 31.9% 34.6% Once a 2 parameter fit is performed, the following chi2’s are obtained. Note that the chi2’s calculated at the null (no oscillations), chi2 best fit, and lsnd best fit yield similar oscillation probabilities. Delta chi2 null vs best fit is less than 4.91, the 2d deltachi2 cut for 90% CL, and therefore with current data at hand we place a limit to oscillations (1Covariance matrix approximated to be the same everywhere by its value at best fit point) EνQE > 200 MeV and EνQE > 475 MeV fits are consistent with each other. No strong evidence for oscillations in antineutrino mode. (3.386e20 POT) H. Ray , University of Florida

2D global fit H. Ray , University of Florida