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MiniBooNE, a neutrino oscillation experiment at Fermilab

MiniBooNE, a neutrino oscillation experiment at Fermilab. Teppei Katori for the MiniBooNE collaboration Massachusetts Institute of Technology U-Glasgow HEP seminar, Glasgow, Scotland, Mar. 21, 2011. MiniBooNE, a neutrino oscillation experiment at Fermilab. Outline

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MiniBooNE, a neutrino oscillation experiment at Fermilab

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  1. MiniBooNE, a neutrino oscillation experiment at Fermilab Teppei Katori for the MiniBooNE collaboration Massachusetts Institute of Technology U-Glasgow HEP seminar, Glasgow, Scotland, Mar. 21, 2011 Teppei Katori, MIT

  2. MiniBooNE, a neutrino oscillation experiment at Fermilab • Outline • Introduction • 2. Neutrino beam • 3. Events in the detector • 4. Cross section model • 5. Neutrino oscillation result • 6. Anti-neutrino oscillation result • 7. Outlook Teppei Katori, MIT

  3. 1. Introduction 2. Neutrino beam 3. Events in the detector 4. Cross section model 5. Neutrino oscillation result 6. Anti-neutrino oscillation result 7. Outlook Teppei Katori, MIT

  4. 1. Neutrino oscillation The neutrino weak eigenstate is described by neutrino Hamiltonian eigenstates, n1, n2, and n3 and their mixing matrix elements. The time evolution of neutrino weak eigenstate is written by Hamiltonian mixing matrix elements and eigenvalues of n1, n2, and n3. Then the transition probability from weak eigenstate nmto ne is (no CP violation) Teppei Katori, MIT

  5. 1. Neutrino oscillation In the vacuum, 2 neutrino state effective Hamiltonian has a form, Therefore, 2 massive neutrino oscillation model is Or, conventional form Teppei Katori, MIT

  6. nm 1. Neutrino oscillation Neutrino oscillation is an interference experiment (cf. double slit experiment) light source slit screen nm If 2 light paths have different length, they have different phase rotation, and they make interference pattern on the screen. Teppei Katori, MIT

  7. n1 n2 nm n1 n2 1. Neutrino oscillation Neutrino oscillation is an interference experiment (cf. double slit experiment) Um1 nm Ue1* If 2 light paths have different length, they have different phase rotation, and they make interference pattern on the screen. For massive neutrino model, if n2 is heavier than n1, they have different group velocities hence different phase rotation, thus the superposition of those 2 wave packet no longer makes same state Teppei Katori, MIT

  8. n1 n2 ne n1 n2 1. Neutrino oscillation Neutrino oscillation is an interference experiment (cf. double slit experiment) Um1 nm Ue1* ne If 2 light paths have different length, they have different phase rotation, and they make interference pattern on the screen. For massive neutrino model, if n2 is heavier than n1, they have different group velocities hence different phase rotation, thus the superposition of those 2 wave packet no longer makes same state Teppei Katori, MIT

  9. LSND Collaboration, PRD 64, 112007 L/E~30m/30MeV~1 LSND signal 1. LSND experiment LSND experiment at Los Alamos observed excess of anti-electron neutrino events in the anti-muon neutrino beam. 87.9 ± 22.4 ± 6.0 (3.8.s) Teppei Katori, MIT

  10. 1. LSND experiment Dm132 = Dm122 + Dm232 increasing (mass) 2 3 types of neutrino oscillations are found: LSND neutrino oscillation: Dm2~1eV2 Atmospheric neutrino oscillation: Dm2~10-3eV2 Solar neutrino oscillation : Dm2~10-5eV2 But we cannot have so many Dm2! We need to test LSND signal MiniBooNE experiment is designed to have same L/E~500m/500MeV~1 to test LSND Dm2~1eV2 Teppei Katori, MIT

  11. 1. MiniBooNE experiment nm ne??? FNAL Booster target and horn decay region absorber detector K+ p+ Booster dirt primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) Keep L/E same with LSND, while changing systematics, energy & event signature; P(nm-ne)= sin22q sin2(1.27Dm2L/E) MiniBooNE is looking for the single isolated electron like events, which is the signature of neevents MiniBooNE has; - higher energy (~500 MeV) than LSND (~30 MeV) - longer baseline (~500 m) than LSND (~30 m) Teppei Katori, MIT

  12. 1. Introduction 2. Neutrino beam 3. Events in the detector 4. Cross section model 5. Neutrino oscillation result 6. Anti-neutrino oscillation result 7. Outlook Teppei Katori, MIT

  13. 2. Neutrino beam MiniBooNE collaboration, PRD79(2009)072002 Booster Target Hall FNAL Booster target and horn decay region absorber detector dirt nm ne??? K+ p+ Booster primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) MiniBooNE extracts beam from the 8 GeV Booster Teppei Katori, MIT

  14. 2. Neutrino beam MiniBooNE collaboration, PRD79(2009)072002 Magnetic focusing horn nm ne??? FNAL Booster target and horn decay region absorber detector K+ p+ Booster dirt primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) 8GeV protons are delivered to a 1.7 l Be target within a magnetic horn (2.5 kV, 174 kA) that increases the flux by  6 p- p+ p+ p- Teppei Katori, MIT

  15. 2. Neutrino beam MiniBooNE collaboration, PRD79(2009)072002 HARP experiment (CERN) nm ne??? target and horn FNAL Booster decay region absorber detector K+ p+ Booster dirt primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) Modeling of meson production is based on the measurement done by HARP collaboration. - Identical, but 5% l Beryllium target - 8.9 GeV/c proton beam momentum HARP collaboration, Eur.Phys.J.C52(2007)29 Teppei Katori, MIT

  16. 2. Neutrino beam MiniBooNE collaboration, PRD79(2009)072002 HARP experiment (CERN) nm ne??? FNAL Booster target and horn decay region absorber detector K+ p+ Booster dirt primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) Modeling of meson production is based on the measurement done by HARP collaboration. - Identical, but 5% l Beryllium target - 8.9 GeV/c proton beam momentum HARP collaboration, Eur.Phys.J.C52(2007)29 Booster neutrino beamline pion kinematic space HARP kinematic coverage Majority of pions create neutrinos in MiniBooNE are directly measured by HARP (>80%) Teppei Katori, MIT

  17. 2. Neutrino beam MiniBooNE collaboration, PRD79(2009)072002 p m nm Km nm nm ne??? FNAL Booster target and horn decay region absorber detector K+ p+ Booster m e nm ne Kp e ne dirt primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) Neutrino flux from simulation by GEANT4 MiniBooNE is the ne (anti ne) appearance oscillation experiment, so we need to know the distribution of beam origin ne and anti ne (intrinsic ne) Teppei Katori, MIT

  18. 1. Introduction 2. Neutrino beam 3. Events in the detector 4. Cross section model 5. Neutrino oscillation result 6. Anti-neutrino oscillation result 7. Outlook Teppei Katori, MIT

  19. MiniBooNE collaboration, NIM.A599(2009)28 nm ne??? FNAL Booster target and horn decay region absorber detector K+ p+ Booster dirt primary beam secondary beam tertiary beam (protons) (mesons) (neutrinos) 3. Events in the Detector • The MiniBooNE Detector • - 541 meters downstream of target • - 3 meter overburden • - 12 meter diameter sphere • (10 meter “fiducial” volume) • - Filled with 800 t of pure mineral oil (CH2) • (Fiducial volume: 450 t) • - 1280 inner phototubes, • - 240 veto phototubes • Simulated with a GEANT3 Monte Carlo Teppei Katori, MIT

  20. MiniBooNE collaboration, NIM.A599(2009)28 3. Events in the Detector • The MiniBooNE Detector • - 541 meters downstream of target • - 3 meter overburden • - 12 meter diameter sphere • (10 meter “fiducial” volume) • - Filled with 800 t of pure mineral oil (CH2) • (Fiducial volume: 450 t) • - 1280 inner phototubes, • - 240 veto phototubes • Simulated with a GEANT3 Monte Carlo 541 meters Booster Teppei Katori, MIT

  21. MiniBooNE collaboration, NIM.A599(2009)28 3. Events in the Detector • The MiniBooNE Detector • - 541 meters downstream of target • - 3 meter overburden • - 12 meter diameter sphere • (10 meter “fiducial” volume) • - Filled with 800 t of pure mineral oil (CH2) • (Fiducial volume: 450 t) • - 1280 inner phototubes, • - 240 veto phototubes • Simulated with a GEANT3 Monte Carlo Teppei Katori, MIT

  22. MiniBooNE collaboration, NIM.A599(2009)28 3. Events in the Detector • The MiniBooNE Detector • - 541 meters downstream of target • - 3 meter overburden • - 12 meter diameter sphere • (10 meter “fiducial” volume) • - Filled with 800 t of pure mineral oil (CH2) • (Fiducial volume: 450 t) • - 1280 inner phototubes, • - 240 veto phototubes • Simulated with a GEANT3 Monte Carlo Teppei Katori, MIT

  23. MiniBooNE collaboration, NIM.A599(2009)28 3. Events in the Detector • The MiniBooNE Detector • - 541 meters downstream of target • - 3 meter overburden • - 12 meter diameter sphere • (10 meter “fiducial” volume) • - Filled with 800 t of pure mineral oil (CH2) • (Fiducial volume: 450 t) • - 1280 inner phototubes, • - 240 veto phototubes • Simulated with a GEANT3 Monte Carlo Teppei Katori, MIT

  24. 3. Events in the Detector MiniBooNE collaboration, NIM.A599(2009)28 • Muons • Sharp, clear rings • Long, straight tracks • Electrons • Scattered rings • Multiple scattering • Radiative processes • Neutral Pions • Double rings • Decays to two photons Teppei Katori, MIT

  25. 3. Events in the Detector MiniBooNE collaboration, NIM.A599(2009)28 • Muons • Sharp, clear rings • Long, straight tracks • Electrons • Scattered rings • Multiple scattering • Radiative processes • Neutral Pions • Double rings • Decays to two photons Teppei Katori, MIT

  26. 3. Events in the Detector MiniBooNE collaboration, NIM.A599(2009)28 • Muons • Sharp, clear rings • Long, straight tracks • Electrons • Scattered rings • Multiple scattering • Radiative processes • Neutral Pions • Double rings • Decays to two photons Teppei Katori, MIT

  27. 1. Introduction 2. Neutrino beam 3. Events in the detector 4. Cross section model 5. Neutrino oscillation result 6. Anti-neutrino oscillation result 7. Outlook Teppei Katori, MIT

  28. 4. Cross section model Predicted event rates before cuts (NUANCE Monte Carlo) Casper, Nucl.Phys.Proc.Suppl.112(2002)161 Event neutrino energy (GeV) Teppei Katori, MIT

  29. 4. Cross section model Predicted event rates before cuts (NUANCE Monte Carlo) Casper, Nucl.Phys.Proc.Suppl.112(2002)161 Event neutrino energy (GeV) Teppei Katori, MIT

  30. 4. CCQE event measurement CCQE (Charged Current Quasi-Elastic) event nmcharged current quasi-elastic (nmCCQE) interaction is the most abundant (~40%) and the fundamental interaction in MiniBooNE detector MiniBooNE detector (spherical Cherenkov detector) muon like Cherenkov light and subsequent decayed electron (Michel electron) like Cherenkov light are the signal of CCQE event Cherenkov 1 e m n-beam 12C Cherenkov 2 n p (Scintillation) Teppei Katori, MIT

  31. 4. CCQE event measurement Number of tank hits for CCQE event m e 19.2 ms beam trigger window with the 1.6ms spill Multiple hits within a ~100 ns window form “subevents” nm CCQE interactions (n+n m+p) with characteristic two “subevent” structure from stopped mnmnee Teppei Katori, MIT

  32. 4. CCQE event measurement Em m 12C n-beam cosq All kinematics are specified from 2 observables, muon energy Em and muon scattering angle qm Energy of the neutrino EnQEand 4-momentum transfer Q2QEcan be reconstructed by these 2 observables, under the assumption of CCQE interaction with bound neutron at rest (“QE assumption”). CCQE is the signal channel of ne candidate. Teppei Katori, MIT

  33. 4. Relativistic Fermi Gas (RFG) model Smith and Moniz, Nucl.,Phys.,B43(1972)605 Relativistic Fermi Gas (RFG) Model Carbon is described by the collection of incoherent Fermi gas particles. All details come from hadronic tensor. We tuned following 2 parameters using Q2 distribution by least c2 fit; MA = effective axial mass k= Pauli blocking parameter Teppei Katori, MIT

  34. 4. CCQE cross section model tuning MiniBooNE collaboration PRL100(2008)032301 The data-MC agreement in Q2 (4-momentum transfer) is not good We tuned nuclear parameters in Relativistic Fermi Gas model Q2 fits to MBnmCCQE data using the nuclear parameters: MAeff - effective axial mass k- Pauli Blocking parameter Relativistic Fermi Gas Model with tuned parameters describes nmCCQE data well This improved nuclear model is used in ne CCQE model, too. Q2 distribution before and after fitting data with all errors simulation (before fit) simulation (after fit) backgrounds Teppei Katori, MIT

  35. 4. CCQE cross section model tuning Without knowing flux perfectly, we cannot modify cross section model Data-MC ratio for Tm-cosqm plane, before tuning Teppei Katori, MIT

  36. 4. CCQE cross section model tuning Without knowing flux perfectly, we cannot modify cross section model Data-MC mismatching follows Q2 lines, not En lines, therefore we can see the problem is not the flux prediction, but the cross section model Data-MC ratio for Tm-cosqm plane, before tuning Teppei Katori, MIT

  37. 4. CCQE cross section model tuning Without knowing flux perfectly, we cannot modify cross section model Data-MC mismatching follows Q2 lines, not En lines, therefore we can see the problem is not the flux prediction, but the cross section model Data-MC ratio for Tm-cosqm plane, before tuning Data-MC ratio for Tm-cosqm plane,after tuning Teppei Katori, MIT

  38. 4. NCpo rate tuning NCpo (neutral current po production) The signal of ne candidate is a single isolated electron - single electromagnetic shower is the potential background - the notable background is Neutral current po production Because of kinematics, one always has the possibility to miss one gamma ray, and hence this reaction looks like signal po MiniBooNE NCpo candidate Teppei Katori, MIT

  39. 4. NCpo rate tuning NCpo (neutral current po production) The signal of ne candidate is a single isolated electron - single electromagnetic shower is the potential background - the notable background is Neutral current po production Because of kinematics, one always has the possibility to miss one gamma ray, and hence this reaction looks like signal Asymmetric decay po MiniBooNE NCpo candidate Teppei Katori, MIT

  40. 4. NCpo rate tuning Data-Mc comparison of po kinematics (after tuning) We tuned NCpo rate from our NCpo measurement. Since loss of gamma ray is pure kinematic effect, after tuning we have a precise prediction for intrinsic NCpo background for ne appearance search. Resonance Coherent n n n n N Z A Z po po D g g N A g g MiniBooNE collaboration PLB664(2008)41 Teppei Katori, MIT

  41. 4. MiniBooNE cross section results NuInt09, May18-22, 2009, Sitges, Spain All talks proceedings are available on online (open access), http://proceedings.aip.org/proceedings/confproceed/1189.jsp 1. charged current quasielastic (CCQE) cross section measurement by Teppei Katori, PRD81(2010)092005 2. neutral current elastic (NCE) cross section measurement by Denis Perevalov, PRD82(2010)092005 3. neutral current po production (NCpo) cross section measurement (n and anti-n) by Colin Anderson, PRD81(2010)013005 4. charged current single pion production (CCp+) cross section measurement by Mike Wilking, arXiv:1011.3572 5. charged current single po production (CCpo) cross section measurement by Bob Nelson, arXiv:1010.3264 6. CCp+/CCQE cross section ratio measurement by Steve Linden, PRL103(2009)081801 7. anti-nCCQE measurement by Joe Grange, aiXiv:1102:1964 Teppei Katori, MIT

  42. 4. MiniBooNE cross section results NuInt09, May18-22, 2009, Sitges, Spain All talks proceedings are available on online (open access), http://proceedings.aip.org/proceedings/confproceed/1189.jsp 1. charged current quasielastic (CCQE) cross section measurement by Teppei Katori, PRD81(2010)092005 2. neutral current elastic (NCE) cross section measurement by Denis Perevalov, PRD82(2010)092005 3. neutral current po production (NCpo) cross section measurement (n and anti-n) by Colin Anderson, PRD81(2010)013005 4. charged current single pion production (CCp+) cross section measurement by Mike Wilking, arXiv:1011.3572 5. charged current single po production (CCpo) cross section measurement by Bob Nelson, arXiv:1010.3264 6. CCp+/CCQE cross section ratio measurement by Steve Linden, PRL103(2009)081801 7. anti-nCCQE measurement by Joe Grange, aiXiv:1102:1964 Main results are flux averaged differential cross section, they are function of measured variables (e.g., muon angle, pion energy, etc), not inferred variables (e.g., neutrino energy, momentum transfer) CCQE flux unfolded total cross section CCQE flux averaged double differential cross section Teppei Katori, MIT

  43. 4. MiniBooNE cross section results NuInt11, Mar. 07-11, 2011, Dehradun, India In NuInt11, MiniBooNE presented 2 new anti-neutrino measurement results. 1. charged current quasielastic (CCQE) cross section measurement by Teppei Katori, PRD81(2010)092005 2. neutral current elastic (NCE) cross section measurement by Denis Perevalov, PRD82(2010)092005 3. neutral current po production (NCpo) cross section measurement (n and anti-n) by Colin Anderson, PRD81(2010)013005 4. charged current single pion production (CCp+) cross section measurement by Mike Wilking, arXiv:1011.3572 5. charged current single po production (CCpo) cross section measurement by Bob Nelson, arXiv:1010.3264 6. CCp+/CCQE cross section ratio measurement by Steve Linden, PRL103(2009)081801 7. anti-nCCQE measurement by Joe Grange, aiXiv:1102:1964 8. new anti-nCCQE measurement by Joe Grange 9. anti-n NCE measurement by Ranjan Dharmapalan Anti-neutrino interaction measurement is the best place to test neutrino interaction models developed in neutrino mode. Teppei Katori, MIT

  44. 1. Introduction 2. Neutrino beam 3. Events in the detector 4. Cross section model 5. Neutrino oscillation result 6. Anti-neutrino oscillation result 7. Outlook Teppei Katori, MIT

  45. 5. Oscillation analysis background summary 475 MeV – 1250 MeV νeK94 νeμ132 π⁰ 62 dirt 17 Δ→Nγ20 other 33 total 358 LSND best-fit νμ→νe126 Oscillation analysis summary - Oscillation analysis uses 475MeV<E<1250MeV Teppei Katori, MIT

  46. 5. Oscillation analysis background summary 475 MeV – 1250 MeV νeK94 νeμ132 En (GeV) π⁰ 62 dirt 17 En = 0.43 Ep Δ→Nγ20 other 33 total 358 LSND best-fit νμ→νe126 Ep(GeV) Oscillation analysis summary - Oscillation analysis uses 475MeV<E<1250MeV p m nm ne from m decay is constrained from nmCCQE measurement En-Ep space m e nm ne Teppei Katori, MIT

  47. 5. Oscillation analysis background summary 475 MeV – 1250 MeV νeK94 νeμ132 π⁰ 62 dirt 17 Δ→Nγ20 other 33 total 358 LSND best-fit νμ→νe126 Oscillation analysis summary - Oscillation analysis uses 475MeV<E<1250MeV p m nm ne from m decay is constrained from nmCCQE measurement Km nm signal range n events Dominated by Kaon decay ne from K decay is constrained from high energy ne event measurement Kp e ne Teppei Katori, MIT

  48. 5. Oscillation analysis background summary 475 MeV – 1250 MeV νeK94 νeμ132 π⁰ 62 dirt 17 Δ→Nγ20 other 33 total 358 LSND best-fit νμ→νe126 Measured NCpo rate Asymmetric decay Oscillation analysis summary - Oscillation analysis uses 475MeV<E<1250MeV po D resonance rate is constrained from measured CCpo rate po NCpo event ne from m decay is constrained from nmCCQE measurement MiniBooNE collaboration PLB664(2008)41 ne from K decay is constrained from high energy ne event measurement Asymmetric po decay is constrained from measured CCpo rate (pog) Teppei Katori, MIT

  49. 5. Oscillation analysis background summary 475 MeV – 1250 MeV νeK94 νeμ132 π⁰ 62 dirt 17 Δ→Nγ20 other 33 total 358 LSND best-fit νμ→νe126 Oscillation analysis summary - Oscillation analysis uses 475MeV<E<1250MeV D resonance rate is constrained from measured CCpo rate dirt rate is measured from dirt data sample ne from m decay is constrained from nmCCQE measurement ne from K decay is constrained from high energy ne event measurement Asymmetric po decay is constrained from measured CCpo rate (pog) Teppei Katori, MIT

  50. 5. Oscillation analysis background summary 475 MeV – 1250 MeV νeK94 νeμ132 π⁰ 62 dirt 17 Δ→Nγ20 other 33 total 358 LSND best-fit νμ→νe126 Oscillation analysis summary - Oscillation analysis uses 475MeV<E<1250MeV D resonance rate is constrained from measured CCpo rate dirt rate is measured from dirt data sample ne from m decay is constrained from nmCCQE measurement ne from K decay is constrained from high energy ne event measurement Asymmetric po decay is constrained from measured CCpo rate (pog) Teppei Katori, MIT All backgrounds are measured in other data sample and their errors are constrained!

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