Abstract:In this paper we describe the development, testing, and characterization of three
low-emission rate AmLi neutron sources. The sources are used to calibrate the nuclear recoil
response of the LUX-ZEPLIN (LZ) dark matter experiment. The sources' neutron emission rate was
measured using 3He proportional tubes. The sources' gamma emissions were
characterized using a high-purity germanium (HPGe) detector. Source-validated Geant4
Monte Carlo simulations allowed to calibrate the Ge and neutron detectors' re… Show more
“…The use of neutrons is increasingly important in fields such as materials science, resource exploration, life sciences, agricultural production, and others [1][2][3][4]. In the 21st century, compact accelerator neutron sources have shown great advantages in scientific engineering research and medical treatments due to their low cost, short construction time, and high flexibility [5][6][7][8].…”
In recent years, genetic algorithms have been applied in
nuclear technology design, which have been shown to produce
optimized results more efficiently than traditional enumeration
methods. This advancement in optimization techniques is particularly
useful in the field of nuclear technology design, where complexity
is high and decision-making time is critical. It can be used to
optimize moderator materials for ANS to find composite materials
that provide high neutron beam quality. At present, the direct
combination of Monte Carlo method and genetic algorithm requires a
lot of computing resources and time. And the weights of different
optimization objectives are controversial. Thus, we propose a
two-step method based on NSGA II, which uses macroscopic section as
the intermediate parameters for optimization. It can greatly reduce
the time of genetic algorithm optimization. The method is applied to
the PAFA project of Sun Yat-sen University, the computational speed
has been increased by 50 times based on a 50-generation
optimization. And the results of the genetic algorithm show that the
neutron beam obtained by using composite materials as moderator is
30.8% better than that obtained by using only MgF2 as
moderator. The two-step genetic algorithm optimization has shown its
great potential in the optimization problem of moderator materials.
“…The use of neutrons is increasingly important in fields such as materials science, resource exploration, life sciences, agricultural production, and others [1][2][3][4]. In the 21st century, compact accelerator neutron sources have shown great advantages in scientific engineering research and medical treatments due to their low cost, short construction time, and high flexibility [5][6][7][8].…”
In recent years, genetic algorithms have been applied in
nuclear technology design, which have been shown to produce
optimized results more efficiently than traditional enumeration
methods. This advancement in optimization techniques is particularly
useful in the field of nuclear technology design, where complexity
is high and decision-making time is critical. It can be used to
optimize moderator materials for ANS to find composite materials
that provide high neutron beam quality. At present, the direct
combination of Monte Carlo method and genetic algorithm requires a
lot of computing resources and time. And the weights of different
optimization objectives are controversial. Thus, we propose a
two-step method based on NSGA II, which uses macroscopic section as
the intermediate parameters for optimization. It can greatly reduce
the time of genetic algorithm optimization. The method is applied to
the PAFA project of Sun Yat-sen University, the computational speed
has been increased by 50 times based on a 50-generation
optimization. And the results of the genetic algorithm show that the
neutron beam obtained by using composite materials as moderator is
30.8% better than that obtained by using only MgF2 as
moderator. The two-step genetic algorithm optimization has shown its
great potential in the optimization problem of moderator materials.
LUX-ZEPLIN (LZ) is a tonne-scale experiment searching for direct dark matter interactions and other rare events. It is located at the Sanford Underground Research Facility (SURF) in Lead, South Dakota, USA. The core of the LZ detector is a dual-phase xenon time projection chamber (TPC), designed with the primary goal of detecting Weakly Interacting Massive Particles (WIMPs) via their induced low energy nuclear recoils. Surrounding the TPC, two veto detectors immersed in an ultra-pure water tank enable reducing background events to enhance the discovery potential. Intricate calibration systems are purposely designed to precisely understand the responses of these three detector volumes to various types of particle interactions and to demonstrate LZ's ability to discriminate between signals and backgrounds. In this paper, we present a comprehensive discussion of the key features, requirements, and performance of the LZ calibration systems, which play a crucial role in enabling LZ's WIMP-search and its broad science program. The thorough description of these calibration systems, with an emphasis on their novel aspects, is valuable for future calibration efforts in direct dark matter and other rare-event search experiments.
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