Supernova Relic Neutrinos (SRN) are a diffuse neutrino signal from all past supernovae that has never been detected. Motivation SRN measurement enables.

Slides:



Advertisements
Similar presentations
Neutrinos from kaon decay in MiniBooNE Kendall Mahn Columbia University MiniBooNE beamline overview Kaon flux predictions Kaon measurements in MiniBooNE.
Advertisements

Soudan 2 Peter Litchfield University of Minnesota For the Soudan 2 collaboration Argonne-Minnesota-Oxford-RAL-Tufts-Western Washington  Analysis of all.
Atmospheric Neutrinos Barry Barish Bari, Bologna, Boston, Caltech, Drexel, Indiana, Frascati, Gran Sasso, L’Aquila, Lecce, Michigan, Napoli, Pisa, Roma.
MiniBooNE: (Anti)Neutrino Appearance and Disappeareance Results SUSY11 01 Sep, 2011 Warren Huelsnitz, LANL 1.
11-September-2005 C2CR2005, Prague 1 Super-Kamiokande Atmospheric Neutrino Results Kimihiro Okumura ICRR Univ. of Tokyo ( 11-September-2005.
Takaaki Kajita ICRR, Univ. of Tokyo Nufact05, Frascati, June 2005.
Super-Kamiokande Introduction Contained events and upward muons Updated results Oscillation analysis with a 3D flux Multi-ring events  0 /  ratio 3 decay.
G. Sullivan - Princeton - Mar 2002 What Have We Learned from Super-K? –Before Super-K –SK-I ( ) Atmospheric Solar –SNO & SK-I Active solar –SK.
Measurement of non BB Decays of Y(4S) to Y(1S)     and Y(2S)     Silvano Tosi Università & INFN Genova.
August 12, 2000DPF Search for B +  K + l + l - and B 0  K* 0 l + l - Theoretical predictions and experimental status Analysis methods Signal.
Supernova Relic Neutrinos at Super-Kamiokande Kirk Bays University of California, Irvine 1TAUP 2011.
Prospects for 7 Be Solar Neutrino Detection with KamLAND Stanford University Department of Physics Kazumi Ishii.
Heavy Flavor Production at the Tevatron Jennifer Pursley The Johns Hopkins University on behalf of the CDF and D0 Collaborations Beauty University.
Experimental Status of Geo-reactor Search with KamLAND Detector
1 Search for light Higgs in Y(1S)→ gamma lepton-pairs Nasra Sultana & Tomasz Skwarnicki.
NuMI Offaxis Near Detector and Backgrounds Stanley Wojcicki Stanford University Cambridge Offaxis workshop January 12, 2004.
21-25 January 2002 WIN 2002 Colin Okada, LBNL for the SNO Collaboration What Else Can SNO Do? Muons and Atmospheric Neutrinos Supernovae Anti-Neutrinos.
SN Physics Workshop September 17 th 2009 Michael Smy UC Irvine SN Relic Neutrinos in Large Water Cherenkov Detectors Chandra/Hubble View of E
1 CC analysis update New analysis of SK atm. data –Somewhat lower best-fit value of  m 2 –Implications for CC analysis – 5 year plan plots revisited Effect.
MACRO Atmospheric Neutrinos Barry Barish 5 May 00 1.Neutrino oscillations 2.WIMPs 3.Astrophysical point sources.
New results from K2K Makoto Yoshida (IPNS, KEK) for the K2K collaboration NuFACT02, July 4, 2002 London, UK.
Atmospheric Neutrino Oscillations in Soudan 2
1 Super-Kamiokande atmospheric neutrinos Results from SK-I atmospheric neutrino analysis including treatment of systematic errors Sensitivity study based.
Sampling Detectors for e Detection and Identification Adam Para, Fermilab NuFact02 Imperial College Interest de jour: what is sin 2 2  13  oscillations.
5/1/20110 SciBooNE and MiniBooNE Kendall Mahn TRIUMF For the SciBooNE and MiniBooNE collaborations A search for   disappearance with:
Solar neutrino measurement at Super Kamiokande ICHEP'04 ICRR K.Ishihara for SK collaboration Super Kamiokande detector Result from SK-I Status of SK-II.
Recent results from the K2K experiment Yoshinari Hayato (KEK/IPNS) for the K2K collaboration Introduction Summary of the results in 2001 Overview of the.
Present and Future of Super-Kamiokande Experiment Chen Shaomin Center for High Energy Physics Tsinghua University.
Michael Smy UC Irvine Solar and Atmospheric Neutrinos 8 th International Workshop on Neutrino Factories, Superbeams & Betabeams Irvine, California, August.
The Earth Matter Effect in the T2KK Experiment Ken-ichi Senda Grad. Univ. for Adv. Studies.
Supernova relic neutrinos Kirk Bays December 8, 2011 UC Irvine.
TAUP Searches for nucleon decay and n-n oscillation in Super-Kamiokande Jun Kameda (ICRR, Univ. of Tokyo) for Super-Kamiokande collaboration Sep.
GADZOOKS! project at Super-Kamiokande M.Ikeda (Kamioka ICRR, U.of Tokyo) for Super-K collaboration 1 Contents GADZOOKS! project Supernova.
SNO and the new SNOLAB SNO: Heavy Water Phase Complete Status of SNOLAB Future experiments at SNOLAB: (Dark Matter, Double beta, Solar, geo-, supernova.
Latest Results from the MINOS Experiment Justin Evans, University College London for the MINOS Collaboration NOW th September 2008.
Solar neutrino results from Super-Kamiokande Satoru Yamada for the Super-Kamiokande collaboration Institute of cosmic ray research, University of Tokyo.
C.Vigorito, University & INFN Torino, Italy 30 th International Cosmic Ray Conference Merida, Mexico Search for neutrino bursts from Gravitational stellar.
Study of solar neutrino energy spectrum above 4.5 MeV in Super-Kamiokande-I 1, Solar Neutrino Oscillation 2, Super-Kamiokande detector 3, Data set for.
1 水质契仑科夫探测器中的中子识别 张海兵 清华大学 , 南京 First Study of Neutron Tagging with a Water Cherenkov Detector.
New Results from the Salt Phase of SNO Kathryn Miknaitis Center for Experimental Nuclear Physics and Astrophysics, Univ. of Washington For the Sudbury.
Branching Ratios and Angular Distribution of B  D*  Decays István Dankó Rensselaer Polytechnic Institute (CLEO Collaboration) July 17, 2003 EPS Int.
Data Processing for the Sudbury Neutrino Observatory Aksel Hallin Queen’s, October 2006.
Measurement of J/  -> e + e - and  C -> J/  +   in dAu collisions at PHENIX/RHIC A. Lebedev, ISU 1 Fall 2003 DNP Meeting Alexandre Lebedev, Iowa State.
Measurement of photons via conversion pairs with PHENIX at RHIC - Torsten Dahms - Stony Brook University HotQuarks 2006 – May 18, 2006.
Detection of the Diffuse Supernova Neutrino Background in LENA & Study of Scintillator Properties Michael Wurm DPG Spring Meeting, E15.
Progress on F  with the KLOE experiment (untagged) Federico Nguyen Università Roma TRE February 27 th 2006.
N eutrino O scillation W orkshop Conca Specchiulla, September 11 th 2006 Michael Smy UC Irvine Low Energy Challenges in SK-III.
Neutrino Oscillations at Super-Kamiokande Soo-Bong Kim (Seoul National University)
Medium baseline neutrino oscillation searches Andrew Bazarko, Princeton University Les Houches, 20 June 2001 LSND: MeVdecay at rest MeVdecay in flight.
1 Constraining ME Flux Using ν + e Elastic Scattering Wenting Tan Hampton University Jaewon Park University of Rochester.
Solar Neutrino Results from SNO
Results and Implications from MiniBooNE: Neutrino Oscillations and Cross Sections 15 th Lomonosov Conference, 19 Aug 2011 Warren Huelsnitz, LANL
September 10, 2002M. Fechner1 Energy reconstruction in quasi elastic events unfolding physics and detector effects M. Fechner, Ecole Normale Supérieure.
APS/JPS Joint Meeting Kapalua, Maui, September 2005 Michael Smy UC Irvine Relic Neutrino Detection in Large Water Cherenkov Detectors.
Second Workshop on large TPC for low energy rare event detection, Paris, December 21 st, 2004.
1 Double Beta Decay of 150 Nd in the NEMO 3 Experiment Nasim Fatemi-Ghomi (On behalf of the NEMO 3 collaboration) The University of Manchester IOP HEPP.
News from the Sudbury Neutrino Observatory Simon JM Peeters July 2007 o SNO overview o Results phases I & II o hep neutrinos and DSNB o Update on the III.
Neutrino Interaction measurement in K2K experiment (1kton water Cherenkov detector) Jun Kameda(ICRR) for K2K collaboration RCCN international workshop.
Observation Gamma rays from neutral current quasi-elastic in the T2K experiment Huang Kunxian for half of T2K collaboration Mar. 24, Univ.
PHENIX J/  Measurements at  s = 200A GeV Wei Xie UC. RiverSide For PHENIX Collaboration.
Double Chooz Experiment Status Jelena Maricic, Drexel University (for the Double Chooz Collaboration) September, 27 th, SNAC11.
Precision Measurement of Muon Neutrino Disappearance with T2K Alex Himmel Duke University for the The T2K Collaboration 37 th International Conference.
30th International Cosmic Ray Conference in Merida, Mexico Michael Smy UC Irvine Low Energy Event Reconstruction and Selection in Super-Kamiokande-III.
APS – DPF Meeting at Brown University Tuesday August 9 th 2011 Michael Smy, UC Irvine Low Energy Astronomy in Super-Kamiokande.
The XXII International Conference on Neutrino Physics and Astrophysics in Santa Fe, New Mexico, June 13-19, 2006 The T2K 2KM Water Cherenkov Detector M.
Neutrino astronomy Measuring the Sun’s Core
Neutron backgrounds in KamLAND
Pentaquark Searches and DsJ Studies in BaBar
Impact of neutrino interaction uncertainties in T2K
Davide Franco for the Borexino Collaboration Milano University & INFN
Presentation transcript:

Supernova Relic Neutrinos (SRN) are a diffuse neutrino signal from all past supernovae that has never been detected. Motivation SRN measurement enables us to investigate the history of past Supernovae. The SRN flux is related to the supernova rate in galaxies and the cosmic star formation history Predicted SRN flux Expected number SRN events in SK events/year/22.5kton (10-30MeV) events/year/22.5kton (16-30MeV) events/year/22.5kton (18-30MeV) Ando et al (2005) (LMA) R. A. Malaney (1997) Kaplinghat et al (2000) Hartmann, Woosley (1997) Totani et all (1996) (constant SN rate)

SK-I DATA Atmospheric e (dot dashed) Invisible  -e decay (dashed) (1496 days) OLD 90% C.L. Flux limit: SK-I : < 1.2 /cm 2 /sec Two Irreducible backgrounds Two Irreducible backgrounds: 1) Atmospheric ν e cc interactions 2) Decay of sub-Cherenkov ‘invisible μ’s’ from atmospheric ν μ interactions From 2003 published result From 2003 published result: SK-I result: M. Malek, et al, Phys. Rev. Lett. 90, (2003) This study used: binned χ 2 limit extraction 18 MeV lower energy threshold SK-I data only 0 th order inverse beta cross section two irreducible backgrounds These things have now been improved! + 90% c.l. relic both backgrounds (solid)

solar e recoil energy (total) (MeV) energy resolution at: 16 MeV 18 MeV 7 Be B8B pep hep pp Nuclear Spallation from cosmic  ’s Solar neutrinos Radioactive backgrounds Cosmic ray muons, decay electrons Pions from neutrino interactions Electronics effects many backgrounds, cuts solar ’s and spallation: largest at low energy, set energy threshold dominant background is spallation: spa-cut has largest inefficiency crude solar and spallation cuts in published analysis: improvement needed for lower E threshold Reducible Backgrounds

Spallation and Solar Cuts 11 Be 11 Li 12 N 14 B energyresolution 8B8B 9 Li 8 Li 12 B 13 B 13 O 12 Be 12 C 8 He 9C9C 15 C 16 N 16 MeV 18 MeV New threshold 18  16 MeV! Lowering threshold < 16 MeV too difficult due to “wall” of spallation products with long half-lives that enter sample SPALLATION is cut using correlation to cosmic ray muons Original cut used 2-D spatial correlation, time and charge New method allows 3-D spatial correlation, muon categorization Stricter cut < 18 MeV SOLAR events are cut by correlation to solar direction New technique estimates multiple scattering, which dominates angular resolution New cut is optimized in 1 MeV bins using MC, better reduction half-life (s)

16-18 MeV N/A 23% N/A 18% MeV 7% 9% 36% 9% MeV 7% 0% 36% 9% MeV 7% 0% 36% 0% Energy range2003 cut new cut Solar and Spallation cut inefficiency SOLAR CUT SPALLATION CUT 2003 cutnew cut Total signal inefficiency: SK-I (1497 days) SK-II (794d) SK-III (562d) NEW (now) 22% (16-90) 31% 23% OLD (2003) 48% (18-90) N/A N/A (now more data included!)

Atmospheric background ν μ CC ν e CC μ/π NC elastic E of background (MeV) : two channels: ν μ CC spectrum modeled by decay electrons from cosmic ray  ’s ν e CC spectrum from MC Now Now: four channels: ν μ CC ν e CC NC elastic required by lower E threshold; spectrum from MC μ/π prod.: reduced by cuts; helps constrain NC in signal fit

SK-I/III combined final data sample Cherenkov angle distribution degrees ν e CC μ / π NC elastic low region ( μ / π ) isotropic region (NC elastic) signal region (relic /  / e ) MC (without  contribution) low region ( μ / π ) signal region (relic /  / e ) isotropic region (NC elastic) e e+e+ p n (invisible) Signal region 42 o μ, π Low angle events o Isotropic region N reconstructed angle near 90 o

20-38 degrees38-50 degrees78-90 degrees E (MeV) SK-I/III data ν μ CC ν e CC NC elastic μ / π > C. thr. all background relic : binned χ 2 fit to center region, two background channels Now Now: simultaneous unbinned maximum likelihood fit, four background channels, three Cherenkov angle regions. Each channel has free floating normalization

Combined Fit combined 90% c.l.: < 5.1 ev / yr / 22.5 ktons interacting 16 MeV) 18 MeV) combined 90% c.l. ev/yr interacting in 22.5 ktons logLikelihood SK-I/II/III combined likelihood Comparison to Published/cm 2 /s >18 MeV Published limit1.2 cross section update to Strumia-Vissani 1.2  1.4 Gaussian statistics  Poissonian statistics in fit 1.4  1.9 New SK-I Analysis: E THRESH 18  16 MeV ε = 52%  78 % (small statistical correlation in samples) improved fitting method takes into account NC 1.9  1.6 New SK-I/II/III combined fit1.6  1.9

BACKUP

PeriodLive time# ID PMTs / % coverageComment SK-I1497 days11146 / 40%Experiment start SK-II793 days5182 / 19 %After accident SK-III 562 days11129/ 40%After repair SK-IVrunning now11129/ 40%New electronics Super-Kamiokande (SK) SK is 50 kton water Cherenkov detector in the Kamioka mine, Japan (2700 m.w.e). The data is divided into segments: SK-I, II, III, and IV. Electron energy [MeV] SK Event Rate [/year /MeV] ν e + 16 O  16 N + e + ν e + 16 O  16 F + e - ν e + e  ν e + e - ν e + p  e + + n The main interaction mode for SRN’s in SK is charged current quasi- elastic interaction (inverse  decay)

4 variable likelihood cut The 4 variables: – dl Longitudinal – dt – dl Transverse – Q Peak Use new, better μ fitters Tuned for each muon type (i.e. single, multiple, stopping μ) Improvements allow lowering of energy threshold to 16 MeV! distance along muon track (50 cm bins) p.e.’s Spallation Cut Q Peak = sum of charge in window spallation expected here New Cut: 16 < E < 18 MeV: 18.2% signal inefficiency 18 < E < 24 MeV: 9.2% signal inefficiency Old cut (likelihood ms hard cut) 18 < E < 34: 36% signal inefficiency μ entry point μ track dl Transverse where peak of DE/DX plot occurs dl Longitudinal dE/dx Plot Relic Candidate OLD likelihood NEW!

Effwall cut Energy (MeV) Effwall (cm) old new Some  ray events originating from outside of fiducial volume have possibility of being reconstructed within fiducial volume of SK. In order to remove these events, we applied effwall cut which uses travel distance from tank wall. : Signal Inefficiency: Old: 7% New: 2.5% : Signal Inefficiency: Old: 7% New: 2.5% reconstructed event vertex reconstructed event direction Effwall Inner detector wall

Final Backgrounds (after all relic cuts) E (MeV) NC Backgrounds: Single π -, π + > 200 MeV (~30%) Elastic (~39%) Single π + < 200 MeV (~11%) Single π 0 ’s (~11%) Multiple π production (~8%) other (<1%, neglect) These 3 can be modeled as a combination of other backgrounds, and thus aren’t considered separately CC Backgrounds invisible μ  decay e ν e CC μ > C. threshold μ/πμ/π ν μ CC ν e CC μ/π NC elastic

Combined Fit combined 90% c.l.: = 5.1 ev / yr / 22.5 ktons interacting = 2.7 /cm 2 /s (>16 MeV) = 1.9 /cm 2 /s (scaled to >18 MeV) combined 90% c.l. ev/yr interacting in 22.5 ktons logLikelihood SK-I/II/III combined likelihood SK-I (~1500 days) SK-II (~790 days) SK-III (~560 days) combined

SK-I best fit is negative fit shown is 0 relic contribution degrees degrees degrees E (MeV) SK-I data ν μ CC ν e CC NC elastic μ/π > C. thr. all background relic SK-I only 90% c.l. limit: 16 MeV) < 1.6 /cm 2 /s (scaled to >18 MeV )

SK-II Best fit (shown): 3.5 ev/yr interacting degrees degrees degrees E (MeV) SK-II only 90% c.l. limit: 16 MeV) < 5.2 /cm 2 /s (scaled to >18 MeV ) data ν μ CC ν e CC NC elastic μ/π > C. thr. all background relic

SK-III Best fit (shown) : 6.5 ev/yr interacting degrees degrees degrees E (MeV) SK-III only 90% c.l. limit: 16 MeV) < 5.7 /cm 2 /s (scaled to >18 MeV ) data ν μ CC ν e CC NC elastic μ / π > C. thr. all background relic

Systematics: Inefficiency 19 Define: – r = # relic events we see in data – R = # relic events actually occurring in detector – ε = efficiency (SK-I/II/III dependent) – assume ε follows a probability distribution P(ε) – assume P(ε) is shaped like Gaussian w/ width σ ineff – then we alter likelihood: then the 90% c.l. limit R 90 is such that σ ineff SK-I: 3.5% SK-II: 4.5% SK-III: 3.1%

Cuts: efficiencies and sys errors 20 SK-I: effwall : 98% (0.5%) C. angle: 95% (0.4%) pion like: 98% (0.2%) spall+solar: 89% (1%) 2-peak, 2-ring: >99% Correlation cut: 99% (0.3%) 1 st reduction: 99% (2%) (includes: electronic noise cuts, 50 us cut) Total: 78 % SK-II 95% (0.3%) 88% (0.3%) 97% (0.5%) 87% (1.4%) >99% 99% (0.3%) 99% (2%) SK-III 96% (0.3%) 94% (0.3%) 98% (0.5%) 89% (1%) >99% 99% (0.3%) 99% (2%) 69% 77%