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Preliminary simulation and optimization studies of the Directional Dark Matter Detector and the Directional Neutron Observer are presented. These studies show that the neutron interaction with the gas-target in these detectors is treated…

天体物理仪器与方法 · 物理学 2015-05-30 I. Jaegle , H. Feng , S. Ross , J. Yamaoka , S. E. Vahsen

This study explores a two-component dark matter model in which one component, heavier dark matter, annihilates into a lighter dark matter. The lighter dark matter is expected to generate detectable signals in detectors due to its enhanced…

高能物理 - 唯象学 · 物理学 2025-04-18 Keiko I. Nagao , Tatsuhiro Naka , Takaaki Nomura

Accurate measuring the location and orientation of individual particles in a beam monitoring system is of particular interest to researchers in multiple disciplines. Among feasible methods, gaseous drift chambers with hybrid pixel sensors…

数据分析、统计与概率 · 物理学 2020-09-22 Pengcheng Ai , Dong Wang , Xiangming Sun , Guangming Huang , Zili Li

The usual nuclear recoil energy reconstruction employed by liquid xenon dark matter search experiments relies only on the primary scintillation photon signal. Energy reconstruction based on both the photon and electron signals yields a more…

宇宙学与河外天体物理 · 物理学 2012-11-13 Peter Sorensen

We present results from a 54.7 live-day shielded run of the DRIFT-IId detector, the world's most sensitive, directional, dark matter detector. Several improvements were made relative to our previous work including a lower threshold for…

Searches for WIMP dark matter will in the near future be sensitive to solar neutrinos. Directional detection offers a method to reject solar neutrinos and improve WIMP searches, but reaching that sensitivity with existing directional…

仪器与探测器 · 物理学 2021-03-05 Mason C. Marshall , Matthew J. Turner , Mark J. H. Ku , David F. Phillips , Ronald L. Walsworth

We developed a three-dimensional gaseous tracking device and performed a direction-sensitive dark matter search in a surface laboratory. By using 150 Torr carbon-tetrafluoride (CF_4 gas), we obtained a sky map drawn with the recoil…

In this paper, as a preparation of developing data analysis procedures for using 3-dimensional information offered by directional Dark Matter (DM) detection experiments, we study the patterns of the angular distribution of the Monte…

高能天体物理现象 · 物理学 2020-03-12 Chung-Lin Shan

We discuss irreducible statistical limitations of future ton-scale dark matter direct detection experiments. We focus in particular on the coverage of confidence intervals, which quantifies the reliability of the statistical method used to…

高能物理 - 唯象学 · 物理学 2012-11-29 Charlotte Strege , Roberto Trotta , Gianfranco Bertone , Annika H. G. Peter , Pat Scott

Tracking in high density environments plays an important role in many physics analyses at the LHC. In such environments, it is possible that two nearly collinear particles contribute to the same hits as they travel through the ATLAS pixel…

高能物理 - 实验 · 物理学 2019-10-23 Patrick McCormack , Milan Ganai , Ben Nachman , Maurice Garcia-Sciveres

Detecting the topology and direction of low-energy nuclear and electronic recoils is broadly desirable in nuclear and particle physics, with applications in coherent elastic neutrino-nucleus scattering, astrophysical neutrino measurements,…

Dark matter (DM) is currently searched for with a variety of detection strategies. Accelerator searches are particularly promising, but even if Weakly Interacting Massive Particles (WIMPs) are found at the Large Hadron Collider (LHC), it…

高能物理 - 唯象学 · 物理学 2010-10-13 Gianfranco Bertone , David G. Cerdeno , Mattia Fornasa , Roberto Ruiz de Austri , Roberto Trotta

In this study, we have developed a new sub-MeV neutron detector that has a high position resolution, energy resolution, directional sensitivity, and low background. The detector is based on a super-fine-grained nuclear emulsion, called the…

仪器与探测器 · 物理学 2022-09-01 T. Shiraishi , I. Todoroki , T. Naka , A. Umemoto , R. Kobayashi , O. Sato

We present a potential improvement over the standard method developed to determine antineutrino directionality in inverse-beta-decay detectors. The previously developed method for quantifying directionality in monolithic and segmented…

Pixel tracklets, disappearing tracks reconstructed with only pixel hits, have proven to be a promising technique in LHC analyses to search for dark matter candidates at the LHC that belong to a nearly-degenerate electroweak multiplet.…

高能物理 - 唯象学 · 物理学 2023-03-22 Matthew Gignac , Can Kilic , Rakhi Mahbubani , Taewook Youn

Modern computer vision algorithms have brought significant advancement to 3D geometry reconstruction. However, illumination and material reconstruction remain less studied, with current approaches assuming very simplified models for…

计算机视觉与模式识别 · 计算机科学 2019-03-19 Dejan Azinović , Tzu-Mao Li , Anton Kaplanyan , Matthias Nießner

We study the track reconstruction algorithms of the CEPC luminometer. Depend on the current geometry design, the conventional track reconstruction method is applied, but it suffers the energy leakage problem when tracks falling into the…

仪器与探测器 · 物理学 2019-03-29 Liu Yang , Hao Cai , Kai Zhu

Gas-filled Time Projection Chambers (TPCs) with Gas Electron Multipliers (GEMs) and pixels appear suitable for direction-sensitive WIMP dark matter searches. We present the background and motivation for our work on this technology, past and…

天体物理仪器与方法 · 物理学 2015-05-30 S. E. Vahsen , H. Feng , M. Garcia-Sciveres , I. Jaegle , J. Kadyk , Y. Nguyen , M. Rosen , S. Ross , T. Thorpe , J. Yamaoka

One of the most promising strategies to identify the nature of dark matter consists in the search for new particles at accelerators and with so-called direct detection experiments. Working within the framework of simplified models, and…

Recovering dense and long-range pixel motion in videos is a challenging problem. Part of the difficulty arises from the 3D-to-2D projection process, leading to occlusions and discontinuities in the 2D motion domain. While 2D motion can be…

计算机视觉与模式识别 · 计算机科学 2024-04-09 Yuxi Xiao , Qianqian Wang , Shangzhan Zhang , Nan Xue , Sida Peng , Yujun Shen , Xiaowei Zhou