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The Daya Bay Reactor Neutrino Experiment

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Presentation on theme: "The Daya Bay Reactor Neutrino Experiment"— Presentation transcript:

1 The Daya Bay Reactor Neutrino Experiment
Jonathan Link Virginia Tech On behalf of the Daya Bay Collaboration October 20, 2011

2 Nuclear Reactors as a Neutrino Source
Nuclear reactors are a very intense sources of νe coming from the b-decay of the neutron-rich fission fragments. Arbitrary Flux Cross Section Observable ν Spectrum  From Bemporad, Gratta and Vogel A typical commercial reactor, with 3 GW thermal power, produces 6×1020 νe/s The observable ne spectrum is the product of the flux and the cross section. Jonathan Link, Virginia Tech Seminar 12/10/2018

3 Reactor Neutrino Event Signature
The reaction process is inverse β-decay (Used by Reines and Cowan in the neutrino discovery experiment) Two part coincidence signal is crucial for background reduction Minimum energy for the primary signal is MeV from e+e− annihilation at threshold Positron energy implies the anti-neutrino energy Neutron capture on Gd provides a secondary burst of light approximately 30 μs later ne p→ e+n n capture Eν = Ee MeV ( =mn-mp+me-1.022) Jonathan Link, Virginia Tech Seminar 12/10/2018

4 Reactor Oscillation Experiment Basics
Well understood, isotropic source of electron anti-neutrinos Oscillations observed as a deficit of νe Detectors are located underground to shield against cosmic rays. Unoscillated flux observed here 1.0 sin22θ13 πEν /2Δm213 Probability νe Distance (L/E) ~1800 meters (at 3 MeV) Jonathan Link 10/21/11

5 The Daya Bay Nuclear Power Plant
Located in Guangdong Province, China, about one hour from Hong Kong. 6 reactors on site for a total of 17.4 GW of thermal power. It is among the most powerful nuclear power plants in the world The mountainous terrain is well suited for shielding underground detectors The utility company (China Guangdong Nuclear Power Group) has joined the collaboration The Daya Bay Nuclear Power Plant Jonathan Link 10/21/11

6 Daya Bay Design Principles
Identical near and far detectors cancel many systematic error. Multiple modules boost statistics while reducing systematic errors with multiple independent measurements and direct comparisons of detector counting rates in a common ν flux. Three zone detector design eliminates the need for spatial cuts which can introduce systematic uncertainties. Shielding from cosmic rays and natural radioactivity reduces background rates and provides measurable handles on remaining background. Movable detectors allows for concurrent civil and detector construction, early detector commissioning at the near site, and possible cross calibration between near and far detectors to further reduce systematic errors. Jonathan Link 10/21/11

7 Experimental Setup Total tunnel length ~ 3000 m Ling Ao II Reactors
Far site Overburden: 355 m 900 m Ling Ao Near Overburden: 112 m Filled detectors are transported between halls via horizontal tunnels. 465 m Ling Ao II Reactors Water hall (Starting 2011) Construction tunnel 810 m Ling Ao Reactors Liquid Scintillator hall Entrance 295 m Daya Bay Near Overburden: 98 m Daya Bay Reactors 7

8 Experimental Setup 9 different baselines Ling Ao II Reactors Ling Ao
8 identical anti-neutrino detectors (two at each near site and four at the far site) to cross-check detector efficiency Two near sites sample flux from reactor groups Far site Overburden: 355 m 9 different baselines Ling Ao Near Overburden: 112 m Ling Ao II Reactors (Starting 2011) Ling Ao Reactors Daya Bay Near (m) Ling Ao Near (m) Far (m) Daya Bay 363 1347 1985 Ling Ao I 857 481 1618 Ling Ao II 1307 526 1613 Halls Reactors Daya Bay Near Overburden: 98 m Daya Bay Reactors 8

9 The Daya Bay Detector Design
Gd-Loaded LS (20 tons) LS Mineral Oil 5 meters 1.55 m 1.99 m 2.49 m Three zone, cylindrical design 0.1% wt Gd-Loaded LS target LS gamma catcher Mineral oil buffer Reflectors at top and bottom 196 PMT’s arrayed around the barrel of the cylinder 5 meter total diameter Designed to sit in a pool of ultrapure water Jonathan Link 10/21/11

10 The Daya Bay Detector Design
Jonathan Link 10/21/11

11 Water Shield and Muon Tagging System
The water pool shields the detectors from energetic γ-rays from the decay chains of 238U, 232Th and 40K in surrounding the rock It also detects the Čerenkov light produced by cosmic ray muons which pass near the detectors Water Pool RPCs The pool is lined with white Tyvek and sparsely populated with PMTs The pool is optically separated into two zones (inner and outer) The two zones allow a better measurement of efficiency The top is covered with 4 layers of RPC Minimum 2.5 m water shielding in all directions. Jonathan Link 10/21/11

12 Water Shield and Muon Tagging System
Jonathan Link 10/21/11

13 Water Controls Radioactive Backgrounds
in air in water Singles events verses height in the partially filled pool show the suppression of radioactive backgrounds by water. Jonathan Link 10/21/11

14 Filled Water Pool in First Near Hall
Jonathan Link 10/21/11

15 Completed Near Hall Ready for Data Taking
Jonathan Link 10/21/11

16 Muon Induced Correlated Backgrounds
p n Tag muons that pass near the detectors. Range out fast neutrons from muons that are further away. Jonathan Link 10/21/11

17 Muon Spallation Backgrounds
Isotopes like 9Li and 8He are produced in the detectors in the spallation of 12C nuclei by muons. 9Li Antineutrino Rate 9Li and 8He decay with half-lives of tenths of seconds to β+n. Can be identified by their time correlation with muons in the detector. Jonathan Link 10/21/11

18 Signal to Background (a) (d) (c) (b) (1%) After all filters the background rates are small compared to a disappearance due to oscillations with sin22θ13 of 1%. In addition, each background has a characteristic and distinct energy spectrum. Jonathan Link 10/21/11

19 Ratio of Detector Efficiencies
Measuring sin22θ13 The measurement is a ultimately a ratio of observed inverse β-decay events in near and far detectors in initially one, but ultimately many energy bins (sampling a broad range of oscillation phases). Proton Number Ratio Ratio of Detector Efficiencies sin22θ13 ±0.3% Calibration ±0.2% Jonathan Link 10/21/11

20 Systematic and Statistical Errors
Source of Uncertainty Chooz (absolute) Daya Bay (relative) Baseline Goal Goal w/Swapping Number of Protons 0.8% 0.3% 0.1% 0.006% Detector Efficiency Energy Cuts 0.2% Position Cuts 0.32% 0.0% Time Cuts 0.4% 0.03% H/Gd Ratio 1.0% N Multiplicity 0.5% 0.05% Trigger 0% 0.01% Live Time <0.01% Total Detector Related Uncertainty 1.7% 0.38% 0.18% 0.12% Background (per detector) 0.85% <0.4% Neutrino Flux 2.7% 0.13% Signal Statistics 1.8% Sensitivity to sin22θ13 (at 90% CL) ~13% 0.7% 0.6% Total Detector Related Uncertainty 1.7% 0.38% 0.18% 0.12% Jonathan Link 10/21/11

21 Sensitivity Jonathan Link 10/21/11

22 Project Schedule and Status
October 2007: Official Ground Breaking 4 out of 8 detectors completed August 2011: Hall 1 data taking begins Detector installation underway in hall 2 Jonathan Link 10/21/11

23 Installation in Second Near Hall
Jonathan Link 10/21/11

24 Project Schedule and Status
October 2007: Official Ground Breaking 4 out of 8 detectors completed August 2011: Hall 1 data taking begins Detector installation underway in hall 2 Muon system installation underway in hall 3. Jonathan Link 10/21/11

25 Muon Installation in the Far Hall
Jonathan Link 10/21/11

26 Project Schedule and Status
October 2007: Official Ground Breaking 4 out of 8 detectors completed August 2011: Hall 1 data taking begins Detector installation underway in hall 2 Muon system installation underway in hall 3. Summer 2012: Start of data with full installation Three years of data taking to reach sensitivity goal. Jonathan Link 10/21/11

27 The Daya Bay Collaboration
Europe.: Charles U., JINR, Kurchatov Institute Asia: Beijing Normal, Chengdu U. of Tech., CGNPE, CIAE, CUHK, Dongguan Polytech, IHEP Beijing, Nankai, Nanjing, National Chiao-Tung U., National Taiwan U., National United U., Shangdong U., SJTU, Shenzhen U., Tsinghua U., HKU, USTC, Zhongshan U. U.S.: BNL, Caltech, Cincinnati, George Mason, Houston, IIT, Iowa State, LBNL, Princeton, RPI, UC Berkeley UCLA, UIUC, Virginia Tech, William and Nary, Wisconsin


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