IBD Detection Efficiencies and Uncertainties

Slides:



Advertisements
Similar presentations
HARP Anselmo Cervera Villanueva University of Geneva (Switzerland) K2K Neutrino CH Meeting Neuchâtel, June 21-22, 2004.
Advertisements

Recent Results on Radiative Kaon decays from NA48 and NA48/2. Silvia Goy López (for the NA48 and NA48/2 collaborations) Universitá degli Studi di Torino.
Results from Daya Bay Xin Qian On behalf of Daya Bay Collaboration Xin Qian, BNL1.
MiniBooNE: (Anti)Neutrino Appearance and Disappeareance Results SUSY11 01 Sep, 2011 Warren Huelsnitz, LANL 1.
Prototype of the Daya Bay Neutrino Detector Wang Zhimin IHEP, Daya Bay.
Past Experience of reactor neutrino experiments Yifang Wang Institute of High Energy Physics, Beijing Nov. 28, 2003.
Prospects for 7 Be Solar Neutrino Detection with KamLAND Stanford University Department of Physics Kazumi Ishii.
A Search for Point Sources of High Energy Neutrinos with AMANDA-B10 Scott Young, for the AMANDA collaboration UC-Irvine PhD Thesis:
F.Sanchez (UAB/IFAE)ISS Meeting, Detector Parallel Meeting. Jan 2006 Low Energy Neutrino Interactions & Near Detectors F.Sánchez Universitat Autònoma de.
Howard Budd, Univ. of Rochester1 Vector and Axial Form Factors Applied to Neutrino Quasi-Elastic Scattering Howard Budd University of Rochester (in collaboration.
2015/6/23 1 How to Extrapolate a Neutrino Spectrum to a Far Detector Alfons Weber (Oxford/RAL) NF International Scoping Study, RAL 27 th April 2006.
Arie Bodek, Univ. of Rochester1 Vector and Axial Form Factors Applied to Neutrino Quasi-Elastic Scattering Howard Budd University of Rochester
1 Super-Kamiokande atmospheric neutrinos Results from SK-I atmospheric neutrino analysis including treatment of systematic errors Sensitivity study based.
1 The Daya Bay Reactor Electron Anti-neutrino Oscillation Experiment Jianglai Liu (for the Daya Bay Collaboration) California Institute of Technology APS.
KamLAND Experiment Kamioka Liquid scintillator Anti-Neutrino Detector - Largest low-energy anti-neutrino detector built so far - Located at the site of.
Simulation study of RENO-50 Jungsic Park Seoul National University RENO-50 International Workshop June 13-14, 2013 Hoam Faculty House, Korea.
Eun-Ju Jeon Sejong Univ. Sept. 09, 2010 Status of RENO Experiment Neutrino Oscillation Workshop (NOW 2010) September 4-11, 2010, Otranto, Lecce, Italy.
KamLAND : Studying Neutrinos from Reactor Atsuto Suzuki KamLAND Collaboration KEK : High Energy Accelerator Research Organization.
RENO and the Last Result
SNS2 Workshop August 28-29, 2003 Richard Talaga, Argonne1 Calibration of the OMNIS-LPC Supernova Neutrino Detector Outline –OMNIS Experiment and Detectors.
Cross-sections of Neutron Threshold Reactions Studied by Activation Method Nuclear Physics Institute, Academy of Sciences of Czech Republic Department.
Results for the Neutrino Mixing Angle  13 from RENO International School of Nuclear Physics, 35 th Course Neutrino Physics: Present and Future, Erice/Sicily,
RENO & RENO-50 Soo-Bong Kim (KNRC, Seoul National University) “NOW 2014, Conca Specchiulla, Otranto, Lecce, Italy, September 7-14, 2014”
Results from RENO Soo-Bong Kim (KNRC, Seoul National University) “17 th Lomosonov Conference on Elementary Particle Physics” Moscow. Russia, Aug ,
The Daya Bay Reactor Neutrino Experiment R. D. McKeown Caltech On Behalf of the Daya Bay Collaboration CIPANP 2009.
1 NaI calibrationneutron observation NaI calibration and neutron observation during the charge exchange experiment 1.Improving the NaI energy resolution.
 0  5  Outline Event selection & analysis Background rejection Efficiencies Mass spectrum Comparison data-MC Branching ratio evaluation Systematics.
Performance Comparisons of Safeguard Detector Designs D. Reyna (Argonne National Laboratory) with help from R.W. McKeown (Drexel University)
Karsten Heeger Beijing, January 18, 2003 Design Considerations for a  13 Reactor Neutrino Experiment with Multiple Detectors Karsten M. Heeger Lawrence.
Double Chooz Near Detector Guillaume MENTION CEA Saclay, DAPNIA/SPP Workshop AAP 2007 Friday, December 14 th, 2007
Jun Cao Jan. 18, 2004 Daya Bay neutrino experiment workshop (Beijing) Detector Module Simulation and Baseline Optimization ● Determine module geometric.
A bin-free Extended Maximum Likelihood Fit + Feldman-Cousins error analysis Peter Litchfield  A bin free Extended Maximum Likelihood method of fitting.
1 Muon Veto System and Expected Backgrounds at Dayabay Hongshan (Kevin) Zhang, BNL DayaBay Collaboration DNP08, Oakland.
1 Constraining ME Flux Using ν + e Elastic Scattering Wenting Tan Hampton University Jaewon Park University of Rochester.
Recent Results from RENO NUFACT2014 August. 25 to 30, 2014, Glasgow, Scotland, U.K. Hyunkwan Seo on behalf of the RENO Collaboration Seoul National University.
1 Review of the n-H analysis Zelimir Djurcic (ANL) Pau Novella (APC/CNRS)
Results and Implications from MiniBooNE: Neutrino Oscillations and Cross Sections 15 th Lomonosov Conference, 19 Aug 2011 Warren Huelsnitz, LANL
CHOOZ  Double Chooz réalité  mythe ? Yves Déclais, IPNL (CNRS-IN2P3/UCBL) Questions (sur le bruit) de fond.
5th June 2003, NuFact03 Kengo Nakamura1 Solar neutrino results, KamLAND & prospects Solar Neutrino History Solar.
High p T hadron production and its quantitative constraint to model parameters Takao Sakaguchi Brookhaven National Laboratory For the PHENIX Collaboration.
Three years of cross-section measurements of (n,xn) threshold reactions at TSL Uppsala and NPI Řež O. Svoboda, A. Krása, A. Kugler, M. Majerle, J. Vrzalová,
Results on  13 Neutrino Oscillations from Reactor Experiments Soo-Bong Kim (KNRC, Seoul National University) “INPC 2013, Firenze, June 2-7, 2013”
Double Chooz Experiment Status Jelena Maricic, Drexel University (for the Double Chooz Collaboration) September, 27 th, SNAC11.
Report (2) on JPARC/MLF-12B025 Gd(n,  ) experiment TIT, Jan.13, 2014 For MLF-12B025 Collaboration (Okayama and JAEA): Outline 1.Motivation.
MINERνA Overview  MINERνA is studying neutrino interactions in unprecedented detail on a variety of different nuclei  Low Energy (LE) Beam Goals: t Study.
Monte Carlo methods in spallation experiments Defense of the phD thesis Mitja Majerle “Phasotron” and “Energy Plus Transmutation” setups (schematic drawings)
Comparisons of neutron production by muons in GEANT4 and toy model
Relativistic Kinematics for the Binding Energy of Nuclear Reactions
Reactor Flux at Daya Bay
Validation of Geant4 against the TARC benchmark: Testing neutron production, transportation and interaction TARC – experimental set-up and aims Geant4.
SoLid: Recent Results and Future Prospects
Xin Qian Caltech For Daya Bay Collaboration
Cross-section Measurements of (n,xn) Threshold Reactions
Simulation for DayaBay Detectors
Neutron and 9Li Background Calculations
Neutron backgrounds in KamLAND
Calibration, Simulations, and “Remaining” Issues
Searching for states analogous to the 12C Hoyle state in heavier nuclei using the thick target inverse kinematics technique. Marina Barbui 5/17/2018, Galveston,
p0 life time analysis: general method, updates and preliminary result
° status report analysis details: overview; “where we are”; plans: before finalizing result.. I.Larin 02/13/2009.
Current Results from Reactor Neutrino Experiments
Status of Neutron flux Analysis in KIMS experiment
Anti-Neutrino Simulations
Neutrinos Oscillation Experiments at Reactors
Determination of Neutrino Mass Hierarchy at an Intermediate Baseline
Study of e+e- pp process using initial state radiation with BaBar
Report on p0 decay width: analysis updates
Davide Franco for the Borexino Collaboration Milano University & INFN
O. Svoboda, A. Krása, A. Kugler, M. Majerle, J. Vrzalová, V. Wagner
° status report analysis details: overview; “where we are”; plans: before finalizing result.. I.Larin 02/13/2009.
Presentation transcript:

IBD Detection Efficiencies and Uncertainties Liang Zhan, Institute of High Energy Physics 1st Workshop on Reactor Neutrino Experiments, Seoul, Oct. 16-18, 2016 2016-10-17

The number of IBD events Reactor antineutrino flux IBD cross section Baseline Detection efficiency Number of target protons This talk will focus on the detection efficiency and number of target protons. 2016-10-17

Breakdown of detection efficiency Break into sub efficiencies according the physical effects Efficiencies of delayed energy cut, Gd capture fraction and spill-in correction are equal for Daya Bay identically designed antineutrino detectors (ADs) Other efficiency: multiplicity cut (reviewed in the IBD selection talk) Delayed energy cut (>6 MeV) efficiency for Gd capture events Gd capture for neutrons from inside and outside of GdLS target. Gd capture fraction for IBD neutrons generated in GdLS target. Extra IBD events due to IBD neutrons generated outside of GdLS target. 2016-10-17

Detection efficiency overview arXiv: 1610.XXXX Correlated uncertainties have no impact in the relative measurement for oscillation. They are important in the absolute reactor flux measurement. Uncorrelated uncertainties are propagated to the relative measurement of far/near deficit. Three other talks will cover Flasher cut Gd capture fraction and spill-in Multiplicity cut and livetime This talk will focus on other aspects. 2016-10-17

Number of target protons Target mass was measured with an uncertainty of 0.015% (NIM A811, 133(2016)) and precisely monitored by the liquid level in the overflow tank. Np uncertainty dominated by the hydrogen mass fraction in GdLS. Combined results of two independent combustion measurements. (one in NIM A811, 133(2016)) Results of GC-MS (Gas Chromatography-Mass Spectrometer) measurement are served as a cross check. Uncertainty of GC-MS measurement may be smaller but is hard to estimate because some components (such as impurities) in the liquid scintillator have no or very different response in the GC-MS measurement and the fractions of these components are hard to estimate. 2016-10-17

Data-driven efficiency studies Usually, It is 1 for well tuned MC The selected IBD data sample never knows what is the selection efficiency. Perform calibration runs to study the efficiency. However, the calibration data is similar but not identical to IBD data (such as spallation neutrons vs. IBD neutrons). Perform calibration MC and compare it with the calibration data. Good agreement gives our confidence on the MC. Determine the IBD detection efficiency from the validated MC. Correlated efficiency uncertainty determined by the comparison between data and MC. Uncorrelated efficiency uncertainty determined by the comparison of data between ADs. 2016-10-17

Capture time cut IBD neutrons will scatter on the nucleus and be captured on the nucleus after thermalized. Capture time cut: 1 μs < ΔT < 200 μs Efficiency: 98.7% Inefficiency: 0.2% for ΔT < 1 μs and 1.1% for ΔT > 200 μs By default, Geant4 uses free gas model (hydrogen is free), which does not agree with data. We modified it to include the effect of the binding of scattering nucleus 2016-10-17 Am-C neutron source data

Free gas model Binding model Good agreement achieved by taking into account the binding effect. 0.1% uncertainty estimated from difference between Data and updated MC. 2016-10-17

Uncorrelated uncertainty of capture time cut Almost identical capture time distributions among all ADs. Uncorrelated uncertainty is negligible (0.01%) determined by the variation of Gd concentration (<0.5%). IBD neutron 2016-10-17

Prompt energy cut Prompt energy cut: E > 0.7 MeV Efficiency = 99.81% Inefficiency due to energy loss in inner acrylic vessel Variation on energy scale near 0.7 MeV and IAV thickness (10.6-10.9 mm) induce a efficiency variation ~ 0.1% 2016-10-17

Uncorrelated uncertainty of prompt energy cut Relative energy scale uncertainty determined to be 0.2% (refer to energy response talk) This relative energy scale variation introduce a 0.01% variation on the prompt energy cut efficiency. 2016-10-17

Delayed energy cut Delayed energy cut: 6 MeV < E < 12 MeV 6 MeV cut Delayed energy cut: 6 MeV < E < 12 MeV Efficiency = 92.71% Inefficiency determined by the energy tail due to the energy leakage. The tail shape depends on the energy spectrum of individual gamma emitted from neutron capture on Gd. 2016-10-17

Individual gamma spectrum Three models are studied M13A, Old uses the gamma spectrum based on spectroscopic measurements (Nuclear Data Tables 5 (1968)) M14A, Caltech uses the gamma spectrum based on the measurement at Caltech using a benchtop HPGe detector M14A, Geant uses the gamma spectrum from Geant4 packages with updates requiring the energy conservation of gamma emission (7.94 MeV for 157Gd capture, 8.54 MeV for 155Gd capture) 2016-10-17

M14A, Geant model has the best agreement with the data. To quantify the agreement, we define a tail shape metric. Rts difference between Geant model and data is < 0.1% Other contribution to the energy cut uncertainty Statistics: 0.1% Background subtraction: 0.1% lack of constraint on low-energy regions (<3 MeV), 100% uncertainty conservatively estimated for R<3MeV: 0.9% Non-uniformity and non-linearity difference between data and MC: 0.3% Old Geant Dominate uncertainty 2016-10-17

Uncorrelated uncertainty for delayed energy cut A 0.2% relative energy scale variation between detectors corresponds to a 0.05% variation in the cut efficiency. Consider the dependence of the energy scale variation on the vertex in GdLS, the variation of the cut efficiency is 0.07% As a cross check, direct comparison of the delayed energy spectrum above 3.6 MeV shows good agreement between ADs. Variation on the spectrum introduces 0.08% variation on the efficiency 2016-10-17

Summary Absolute efficiency estimation based on well tuned MC. Correlated uncertainty determined by data and MC comparison. Uncorrelated uncertainty determined by the comparison between ADs. 2016-10-17

Back up slides 2016-10-17

Target mass 2016-10-17

Energy peak variation versus the vertex pixel 2016-10-17

Ratio of N(6-12 MeV)/N(3.6-12 MeV) calculated for each AD. Good agreement on the ratio demonstrates small uncorrelated uncertainty of delayed energy cut. 2016-10-17