on behalf of the T2K Collaboration

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Presentation transcript:

on behalf of the T2K Collaboration Recent Results from T2K Alessandro Bravar on behalf of the T2K Collaboration ICNFP2017 Kolymbari, Crete August 26, ‘17

The T2K Experiment 11 countries ~500 members

JPARC - accelerator complex NA61 hadroproduction near detectors Off-axis: ND280 On-axis: INGRID far detector Super–Kamiokande

Neutrino Source at J-PARC 30 GeV protons on a 90 cm long graphite rod n beam created in the decay in flight of p / K / μ 2.50 off-axis neutrino beam - very narrow energy spectrum - neutrino beam energy “tuned” to oscillation maximum - reduced high-energy tails - En almost independent of parent pion energy neutrino beam predictions data driven (NA61 hadro-production measurements) Horn focusing cancels partially the pT dependence of the parent mesons

Data Collected Reached beam power of 475 kW Accumulated POT (protons on target) by April 2017 22.3 ´ 1020 in total 14.7 ´ 1020 in n mode 7.6 ´ 1020 in n mode

3 Flavor Neutrino Mixing eigenstates Mass eigenstates Pontecorvo-Maki-Nakagawa-Sakata Matrix (CKM matrix of lepton sector) q23 ~450 SuperK (atm. n) K2K / Minos T2K q12 ~ 340 solar n KamLAND q13 ~ 80 Daya Bay Reno Majorana phases neutrinoless double-beta decay NuFIT 2016

Neutrino Oscillations and Time Evolution leading, q13 driven CPC CPV solar matter effects 6 independent parameters govern oscillation q12, q23, q13, dcp, ( Dm212 ), D m223, Dm213

ne Appearance and Oscillation Parameters sin22q13 and sin2q23 leading terms “octant” dependence, whether q23 > 450, q23 = 450, or q23 < 450 dCP: +- 27% effect at T2K for q23 = 450 dCP = ~-p/2: enhances suppresses dCP = ~+p/2: suppresses enhances mass hierarchy: +-10% effect at T2K normal: enhances inverted: suppresses mass ordering

Neutrino Oscillation Analysis Overview Observed rate of nm and ne constrains the oscillation probability P. It depends on: Reduce the error of the nm rate with the near detector measurements. Neutrino flux prediction Neutrino cross- section model Far Detector selection & efficiency Neutrino flux prediction Neutrino cross- section model Near Detector selection & efficiency

Oscillation Analysis Strategy data driven Flux Model Cross-section Model ND280 Detector Model Super-K Detector Model T2K Far Detector Data T2K Near Detector Data INGRID/Beam monitor Data NA61/SHINE Data External Cross-section Data Oscillation Parameters Oscillation Fit ND280 fit reduces flux and cross-section uncertainties ND280 Fit In the latest analyses, the nm, nm , ne , and ne samples are fit simultaneously to maximize the sensitivity to the oscillation parameters

Sources of Systematic Uncertainties Neutrino flux Near Detector response Example: neutrino candidate in antineutrino mode Muon-like track TPC ECAL FGD Neutrino interactions Far Detector response

Neutrino and Antineutrino Flux at SK Mostly but not only pions are produced in the target Other n parents – K as well as m produce a background flux coming from: intrinsic ne component around 0.5% near the peak energy it is an important background for the appearance analysis “wrong sign neutrinos” in antineutrino mode increase in event rate due to lower n cross-section

Absolute Neutrino Flux Uncertainties Beamline related uncertainties Hadron interaction model uncertainties proton beam profile NA61 uncertainties off-axis angle re-interactions horn current and field secondary hadron production At T2K peak energy, flux uncertainty has decreased to 9% (before ND280 fit constraint) 9% 9% new NA61 data new NA61 data Dominant flux uncertainties stem from hadron interactions Replica target data from NA61/SHINE is being incorporated in the T2K flux prediction ® reduce systematics further (< 5% ?)

The ND280 Near Detector Excellent performance Operated since 2010 Provides critical input for oscillation measurements Constrains neutrino flux before oscillations (CC nm and nm data) Measures neutrino interactions on scintillator (CH) and water targets 0.2 T magnetic field Plastic scintillator detectors (tracking, calorimetry) Time Projection Chambers better than 10% dE/dx resolution 10% momentum resolution at 1 GeV/c

Gallery of Events in ND280 (FGD1) n mode nm CC0p nm CC1p+ nm CC other n mode nm CC 1-track nm CC N-track nm CC 1-track

Neutrino Interactions Oscillation probability depends on neutrino energy. In T2K energy range, dominant process is Charged-Current Quasi-Elastic CCQE Neutrino energy from measured lepton momentum and angle 2-body kinematics and assumes the target nucleon is at rest The beam travels essentially a fixed distance L, and we probe the oscillation dip around the relevant region in energy. T2K’s peak flux energy is ~0.6 GeV, so the dominant interaction is charged current quasi-elastic interactions (CCQE). I’ll talk later about why this is an oversimplification, but for now the neutrino interactons on a bound neutron, and produces a muon or an electron in the detector. The kinematics of the lepton are used to infer the neutirno energy, assuming simple 2 body inematics. Some relevant background processes are those which mimic CCQE, such as single pion production. In this case there is a lepton and a pion in thef inal sate. When the pion is absorbed or not reconstructed, then this event appears “CCQE-like” but is actually due to a higher energy event. This smears out our determination of the oscillation probability. Neutral current events can also be a background to the nue appearnce (NCpi0) or numu disappearance analysis (Ncpi+) Additional significant processes: CCQE-like multi-nucleon interaction Charged-current single p production (CC1p) (resonant production) Neutral-current single p production (NC1p) CC1p NC1p

Don’t Forget the Nucleus! short range correlations and medium range correlations scatters off a pair of correlated nucleons – 2p2h effect long range correlations – RPA effect final state interactions created particles have to work their way out of the nucleus 2p2h effect big source of uncertainties in neutrino interactions ND280 measurements try to improve modelling of all these effects

Improved Neutrino Interaction Model Most recent NEUT generator tuned to external data (MiniBooNE and MINERnA) several improvements introduced in 2017 analysis interactions in ND280 H20 target included Improved CCQE description: - nuclear effects (Fermi Gas Model) - nuclear correlations (MEC – 2p2h) - long range correlations (RPA) - final state interactions (FSI) Improved resonant pion production model with tuning to H and D data Tensions with some data sets remain. Cross-section model uncertainties come from underlying model parameters and normalization. Expected number of events at the far detector tuned using a binned likelihood fit to the ND280 data (in bins of pm and qm) taking into account - variations in the flux model parameters - cross-section model parameters - ND280 detector uncertainties decomposition of n-N cross-section

ND280 Constraints for Far Detector Flux Model n–N Interaction Model Fit to ND280 data constrains neutrino flux parameters and interaction model parameters ND280 Data

T2K Typical Events (Far Detector) good m – e separation simulated event display (FD response) background for ne appearance: intrinsic ne component in initial beam merged p0 rings from NC interactions good p0 rejection (2 rings from g conversion)

New Far Detector Reconstruction Algorithm Previous T2K analyses have used the event reconstruction algorithm APFit 2017 event reconstruction at Super-K updated to use the fiTQun algorithm fiTQun uses a charge and time likelihood for a given ring(s) hypotheses Maximizes likelihood for each event fiTQun previously used in T2K analyses for the rejection of p0 from electron neutrino candidates Five samples are selected Neutrino-mode (forward horn current FHC) (CCQE) 1 Muon-like Ring, ≤1 decay electron (CCQE) 1 Electron-like Ring, 0 decay electrons (CC1p) 1 Electron-like Ring, 1 decay electron Antineutrino-mode (reverse horn current RHC)

Increasing the Far Detector Fiducial Volume Previous APFit based fiducial volume reconstructed vertex > 2 m from the detector wall New fiTQun, the fiducial volume cut is re-optimized distance of vertex from wall (Wall) distance to the wall along the particle trajectory (Towall) Optimize cuts accounting for statistical and systematic errors With new fiTQun reconstruction and CC1p e-like sample significant statistical improvement for same beam exposure reduction of NCp and CCp backgrounds 30% increase for neutrino mode e-like selection 20% increase for anti-neutrino mode e-like sample

ne Far Detector Selection T2K preliminary

Observed Spectra (Far Detector) T2K preliminary

Atmospheric Parameters q23 and |Dm232| Fit normal and inverted hierarchies separately Joint analysis with reactor constraint on sin2q13 Final systematic error pending final systematics pending T2K preliminary Posterior probabilities from Bayesian analysis (with reactor constraint) (assumes equal probabilities for both hierarchy and octant hypothesis) Data prefers normal hierarchy and upper octant T2K preliminary

ne / ne Appearance T2K preliminary T2K preliminary ne ne Compared to prediction with dCP = 0 Excess in neutrino mode Deficit in antineutrino mode T2K preliminary ne T2K preliminary

q13 vs dCP T2K preliminary Fit without the reactor constraint: closed contours in dCP at 90% CL T2K-only sin2q13 measurement consistent with reactor measurements (PDG 2016) T2K Best Fit (NH) sin2q13 = 0.0277 (+0.0054, -0.0047) PDG 2016 sin2q13 = 0.0210 ± 0.0011 Adding the reactor constraint improves the constraint on dCP T2K preliminary

Feldman-Cousins critical Measurement of dCP 95% CL allowed regions (with reactor constraint) T2K preliminary Feldman-Cousins critical Dc2 values for 95% C.L. Favors the dCP ~ - p/2 region, best fit point -1.83 (NH) normal hierarchy: dCP = [-2.98, -0.60] [-1710, -340] at 2 s inverted hierarchy: dCP = [-1.54, -1.19] [-880, -680] at 2 s CP conserving values (0, p) fall outside of the 2 s interval

T2K Phase II (T2K-II) Proposal to extend T2K run to 20 ´ 1021 POT by 2026 Currently T2K approved to 7.8 ´ 1021 POT J-PARC plans to increase beam power from 475 kW to 1.3 MW in several steps repetition cycle from 2.48 s to 1.3 s # protons 2.4 ´ 1014 / spill to 3.2 ´ 1014 / spill Stage-1 status given by J-PARC PAC ND280 upgrade proposal under way

Physics Potential of T2K-II Mass Hierarchy unknown Mass Hierarchy known aim for 3s CPV sensitivity for favorable (and currently favored) parameters 50% increase in effective POT (increase horn current, enlarge fiducial volume) reduction of systematic errors < 4% precise measurement of q23 (to 1.70 or better) assuming sin2q23 = 0.6

Conclusions Accumulated ~22.5 ´ 1020 protons on target (POT) Beam power continuously increasing (475 kW at the end of run 8) Fully joint analysis across all modes of oscillation nm / nm disappearance and ne / ne appearance Near detector and NA61 hadro-production data used to constrain rate at far detector (SK) water target and “wrong sign” from ND280 Data prefer maximal q23 mixing, dCP ~ -p/2, normal hierarchy “maximal” nm / nm disappearance, “large” ne appearance, “small” ne appearance dCP = [-2.98, -0.60] at 2 s (NH) dCP = [-1.54, -1.19] at 2 s (IH) T2K excludes CP conservation at 95% confidence level Accelerator upgrade approved, aiming for 1.3 MW operation Proposal to extend T2K (T2K-II) Stage-1 status Studies to upgrade ND280 detector under way

more …

Need for Hadro-production Measurements The flux predictions in accelerator-based neutrino experiments depend on hadro-production models of n parents Hadro-production at present is still one of the dominant uncertainties in flux estimates µ+ µ- π+ π- νµ νµ nm (nm ): p at low En, K at large En ne: m at low En, K at large En; ne: K at all En NA61 measurements replace model-based calculations for hadro-production in n flux estimates, thus reduce one of the largest sources of uncertainty

Modelling of T2K n Flux Data driven (NA61) FLUKA/Geant3 based neutrino beam simulation FLUKA primary p+C interaction in the target beamline monitors data are parameterized to obtain the proton beam profile GEANT3 + GCALOR tracking particles exiting the target target through horns, magnetic field and decay volume accurate description of secondary beamline in simula0on is required RE-WEIGTHING p, K multiplicity and interaction rate are used to re-weight simulations external hadro-production measurements are used mostly NA61 data To tune T2K flux, for each simulated neutrino interaction, a weight is calculated for simulated event to adjust MC to data. primary interactions can be directly re-weighted with NA61 thin target data for p, K the kinematic coverage is extended by using parameterization from fit to data scaling is used for secondary interactions and interactions on material other than C

Fitting ND280 Data Since 2016, include FGD2 (water targets) to extract interactions on H2O Separate data sets in FGD1 and FGD2 Neutrino mode separated by number of charged pions: CC-0p, CC-1p, CC-Other Antineutrino mode separate by number of TPC tracks: CC-1Track, CC-NTrack In antineutrino mode, separate samples for m+ and m- candidates Example fitted FGD2 CC-0p muon momentum The fit reproduces the data well with a p-value of 0.47

Fitted Flux Parameters Neutrino energy (GeV) Neutrino energy (GeV) Fitted flux parameters are generally near their nominal value of 1.0 Most of the fitted flux parameters fall within their assigned 1 s prior uncertainty

Fitted Interaction Model Parameters The 2p-2h for neutrinos is enhanced by 50% The 2p-2h shape is shifted so that the D-enhanced component of the cross-section is increased to maximum The RPA parameters for Q2 below 1 GeV2 are increased, enhancing the cross-section in that region

Robustness of T2K Results Neutrino interaction models are rapidly changing and this may impact T2K results Check robustness of results against potential neutrino interaction modeling effects not yet included in T2K neutrino interaction model (NEUT generator) Apply data-driven or model-driven changes to the simulated event rates at ND280 and SK that aren’t implemented in fitting model Fit this systematically varied Monte Carlo with current fitting model Data-driven variation based on the pre-fit data/prediction discrepancy in ND280 Take excess of data over prediction prior to ND280 fitting and assign the excess to 1 of 3 types of interactions: - CCQE - 2p-2h D-enhanced - 2p-2h non-D-enhanced and pply modeled excess to predict rates at ND280 and SK Effect seen on sin2θ23 and Δm232 (next slide) No significant impact on the measured intervals for dCP (next to next slide)

Impact on Atmospheric Parameters In this study Δm232 is biased to lower values sin2θ23 is biased towards maximal disappearance This leads to narrower contour than fit to nominal prediction Investigating if this type of variation represents a physical effect that should be included as a systematic uncertainty We present Δm232 vs. sin2θ23 contours with caveat that the systematic error model may be updated in the future Neutrino interaction model systematic effects will be addressed by - use of 4p samples in the fit to ND280 data - study of the hadronic recoil system - ND280 upgrades

Impact on CP Phase Consider how changes to the Dc2 impact confidence intervals calculated from data Shift Dc2 observed in data (bottom plot) by difference observed in systematic study (top plot) Maximum shift in the NH 2-s confidence interval mid-point was 1.7% Maximum change to the NH 2-s confidence interval was 2.3% Impact on dCP intervals is small

ND280 Upgrade ND280 upgrade to understand the neutrino-nucleus interactions and improve on systematics Current ND280 has an excellent performance for forward tracks, however limited performance for large angle tracks Basic criteria for upgrading ND280 Enlarge phase space – cover full polar angle (Super-K has 4p uniform acceptance) Retain ND280 TPC capabilities Efficiency for short hadron tracks Improve electron neutrino selection

Baseline Configuration Keep current tracker + downstream Ecal Magnet and surrounding Ecal also preserved New Detectors 2 horizontal TPCs Scintillator target (different options studied) ToF detectors