Shingo Kazama (Nagoya University, KMI)
- n behalf of the XENON collaboration
@TAUP2019, September 11th 2019
The XENONnT Neutron Veto Detector
The XENONnT Neutron Veto Detector This Talk! > 2500 SLPM GXe) - - PowerPoint PPT Presentation
Shingo Kazama (Nagoya University, KMI) on behalf of the XENON collaboration @TAUP2019, September 11th 2019 The XENONnT Neutron Veto Detector This Talk! > 2500 SLPM GXe) GXe purification (120 SLPM) neutron-induced background To tag and
Shingo Kazama (Nagoya University, KMI)
@TAUP2019, September 11th 2019
The XENONnT Neutron Veto Detector
2
XENONnT Experiment
New TPC LXe Purification Radon Distillation Neutron Veto
~6t Time Projection Chamber To achieve fast cleaning of the large LXe volume (5L/min LXe, > 2500 SLPM GXe) To online remove the
222Rn emanated insidethe detector To tag and measure in situ neutron-induced background GXe purification (120 SLPM)
Condenser Distillation stages Reboiler Liquefjer Piston pump10 times higher sensitivity compared to XENON1T with 20 t-year exposure, reaching spin-independent WIMP-nucleon cross-section of O(1)☓10-48cm2
101 102 103WIMP mass [GeV/c2]
10−49 10−48 10−47 10−46 10−45 10−44 10−43WIMP-nucleon σSI [cm2]
XENON10 (2008) XENON100 (2016) L U X ( 2 1 7 ) PandaX-II (2017) X E N O N 1 T ( 1 t × y r , t h i s wThis Talk!
3
Neutron Background @ XENONnT
Rn is removed as planned (~1μBG/kg)
1.3±0.3 neutron events / yr in [4-50] keVr in 4 t FV without neutron veto For 20 t-year exposure, ~ 6.5 events!
aim at neutron tagging efficiency > 80%
neutron generator)
Active neutron veto
See poster by D.Ramirez on NR BG@ XENONnT
preliminary
4
Neutron Veto (nVeto) System @ XENONnT
Cherenkov detector for the muon veto
from EGADS/SK-Gd experiment in Kamioka
coverage & light collection efficiency with highly reflective foil.
will be installed to detect Cherenkov photons
collection efficiency and to separate optical BGs from the outside of the water tank
(in total ~ 700 kg) * Top part will also be covered by reflectors!
5
n
Single-scatter n-capture
157Gd (15.65%): 254 kb, 7.9 MeV γ-rays 155Gd (14.80%): 61 kb, 8.5 MeV γ-rays n+157Gd→158Gd*→158Gd+γ’s n+155Gd→156Gd*→156Gd+γ’s thermalization Cryostat Diffuse reflector
γ-ray
Delay time between single scatter and n-capture (0.2% Gd concentration) ~ 20μs Decays via gamma-cascade
nVeto Working Principle
PMTs
7.6×105 difference compared with 1H(333 mb)
Coverage < 10%
~2m
6
n
Single-scatter
Cryostat Diffuse reflector electron Cherenkov photons
nVeto Working Principle
PMTs thermalization
n-capture γ-ray
Coverage < 10% Cryostat is also covered with the reflector
~2m
nVeto Working Principle: Summary & Requirements
Requirements to nVeto@XENONnT
7
PMTs
Coverage < 10%
8
nVeto System @ XENONnT
dissolved when octahydrated: Gd2(S04)3・8H20 arXiv:1908.11532
700t of the water tank
radioactivity
inside the water tank (soak-test in Gd-water)
9
SK-Gd / EGDAS Techniques
Gd-loaded water Cherenkov detector: developed by SK-Gd / EGADS to detect the supernova relic ν
Lessons learned from the EGADS experiment (arXiv:1908.11532)
arXiv:1908.11532
200 t water tank
10
Simulation Results: γ-ray emission model
γ-ray spectrum after nCapture
collaboration already implemented in our MC
concentration, we can achieve > 80% tagging efficiency
tagging efficiency with 10-fold coincidence
preliminary preliminary
> 60% tagging efficiency with 10-fold coincidence requirement
1000 2000 3000 4000 5000 6000 7000 8000 Energy [keV] 1 10
210
310
410
510 Counts [1/10 keV]
Data GLG4sim Our model
PTEP 023D01
γ-ray emission model
collaboration already implemented in our MC preliminary preliminary
11
preliminary
Coincidence window 0.2% 0.02% 0%
Fraction of the events vetoed
100μs 0.98 0.72 0.48 150μs 0.99 0.85 0.62 300μs ~1 0.98 0.84 500μs ~1 ~1 0.94
Simulation Results: Timing Information
coincidence window down to 150 μs
coincidence window up to 500 μs because it takes longer for neutrons to be thermalized and then captured by hydrogen.
Δt (TPC, nVeto)
12
Simulation Results: Reflectivity Dependence
plays an important role for achieving higher tagging efficiency because of many reflections.
test in Gd-water (0.2% concentration)
preliminary
Many Reflections!
Before soak-test After 2-month soak-test
ePTFE reflector (1.5mm thickness)
13
See poster by D.Ramirez on NR BG@ XENONnT NR BG rate without nVeto with nVeto
to 0.17±0.05 events/year
events is estimated to be ~ 1event
Simulation Results: NR BG Rate with/without nVeto
preliminary preliminary preliminary
14
much BG rate
PMTs
be ~100Hz.
events is ~ 1.5 %.
Simulation Results: Fake BG Rate in nVeto
PMT Component 40K [Bq/PMT] 238U [Bq/PMT] 232Th [Bq/PMT] Window 0.6 < 0.6 0.4 Body 1.1 0.9 1.3
nVeto PMTs radioactivity
* 120 PMTs will be used
15
Calibration
▫ γ an ▫ γ n)
▫
nVETO: neutron tagging efficiency TPC: nuclear recoil response calibration
16
Summary & Outlook
technology established by SK-Gd / EGADS
high transparent Gd-load water
construction, and it will start by the end of this year.
in the nVeto.
sulphate at LNGS. The goal is to install the Gd-Water purification plant at the beginning of 2020, then we will start the dark matter run with the fully efficient nVeto.
18
Water Purification System
Figure 7: Schematic view of the band-pass system and the fast recirculation system (inside dashed line). These systems were built in cooperation with the South Coast Water company.
arXiv:1908.11532
20
Geometry