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Supersymmetric theories and graphene 超对称理论与石墨烯
A. Gallerati
We discuss a 1+2 dimensional model with unconventional supersymmetry at the boundary of an AdS 4 , N -extended supergravity. The resulting features of the supersymmetric boundary open the possibility of describing the electronic properties of graphene-like 2D materials at the Dirac points K and K’ , exploiting a top-down approach. The Semenoff and Haldane-type masses entering the corresponding Dirac equations can be then extrapolated from the geometric parameters of the model describing the substrate.
我们讨论了ads4, N扩展超引力边界上具有非常规超对称的1+2维模型。由此产生的超对称边界特征,利用自上而下的方法,为描述狄拉克点K和K '处的类石墨烯二维材料的电子特性提供了可能性。进入相应狄拉克方程的Semenoff和haldane型质量可以从描述衬底的模型的几何参数中推断出来。
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引用次数: 11
Search for long range flow-like correlation in hadronic $e^{+}e^{-}$ collisions with Belle 在强子$e^{+}e^{-}$与Belle的碰撞中寻找长程流状关联
Yu-Chen Chen, Chengjian Lin, Yen-Jie Lee, P. Chang
The enhancement of charged-particle pairs with large pseudorapidity difference and small azimuthal angle difference, often referred to as the “ridge signal”, is a phenomenon widely observed in high multiplicity proton-proton, proton-ion and deutron-ion collisions, which is not yet fully understood. In heavy-ion collisions, the hydrodynamic expansion of the Quark-Gluon Plasma is the most popular explanation of the ridge signal. Measurements in the 4+4− collision system, without the complexities introduced by hadron structure in the initial state, can be a new opportunity to examine the formation of a ridge signal. The first measurement of two-particle angular correlation functions in high multiplicity 4+4− collisions at √ B = 10.52 GeV is reported. About 31.5 fb−1 hadronic 4+4− annihilation data collected by the Belle detector at KEKB are used in this study. Two-particle angular correlation functions are measured over the full azimuth and large pseudorapidity intervals which are defined by either the electron beam axis or the event thrust as a function of charged particle multiplicity. The measurement in the event thrust analysis, with mostly quark and anti-quark pairs determining the reference axis, is sensitive to soft gluon emissions associated with the outgoing (anti-)quarks. No significant ridge signal is observed with analyses performed in either coordinate system. Near-side jet correlations appear to be absent in the thrust axis analysis. The measurements are compared to predictions from various 4+4− event generators and expected to provide new constraints to the phenomenological models in the low collision energy regime.
赝快差大、方位角差小的带电粒子对的增强,通常被称为“脊信号”,是在高多重质子-质子、质子-质子和氘核-离子碰撞中广泛观察到的现象,目前尚未完全理解。在重离子碰撞中,夸克-胶子等离子体的流体动力学膨胀是对脊信号最流行的解释。在4+4−碰撞系统中进行测量,没有初始状态下强子结构带来的复杂性,可以成为研究脊信号形成的新机会。报道了在√B = 10.52 GeV高多重度4+4−碰撞中首次测量到的两粒子角相关函数。本研究使用了KEKB Belle探测器收集的约31.5 fb−1强子4+4−湮灭数据。测量了两粒子角相关函数在全方位角和大伪快度区间上的分布,伪快度区间由电子束轴或事件推力定义为带电粒子多重度的函数。在事件推力分析中,主要由夸克和反夸克对确定参考轴的测量对与出射(反)夸克相关的软胶子发射很敏感。在两种坐标系下均未观测到明显的脊信号。在推力轴分析中,近侧喷流相关性似乎不存在。将测量结果与各种4+4−事件发生器的预测结果进行了比较,并期望为低碰撞能量状态下的现象学模型提供新的约束。
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引用次数: 1
Status and progress of the JUNO detector 朱诺探测器的现状和进展
Jilei Xu
The Jiangmen Underground Neutrino Observatory (JUNO) is a neutrino oscillation experiment with a 53 km distance from reactors and a 700 m overburden, currently under construction in South China. The primary goal is to measure the neutrino mass ordering with better than 3 σ after 6 years of data taking. Therefore 20 kton high transparency liquid scintillator, high coverage (75%) of photomultiplier tubes and low backgrounds are needed to achieve an energy resolution of 3% at 1MeV and a calibration accuracy better than 1%. This is the most challenging design in the present reactor neutrino experiments throughout the world. Such a large detector also has a huge potential to measure with sub-percent accuracy three neutrino oscillation parameters and detect neutrinos from various terrestrial and extra-terrestrial sources. This talk will present the status and progress of the JUNO detector and of Taishan Antineutrino Observatory (JUNO-TAO), a satellite experiment of JUNO, designed to measure the reactor antineutrino spectrum with sub-percent energy resolution and provide a reference spectrum for future reactor neutrino experiments.
江门地下中微子观测站(JUNO)是一个中微子振荡实验设备,距离反应堆53公里,覆盖层700米,目前正在中国南方建设。主要目标是经过6年的数据采集,测量出优于3 σ的中微子质量序。因此,需要20kt的高透明度液体闪烁体、高覆盖率(75%)的光电倍增管和低背景,才能在1MeV下实现3%的能量分辨率和优于1%的校准精度。这是目前世界上最具挑战性的反应堆中微子实验设计。这样一个大的探测器也有巨大的潜力,以低于百分之一的精度测量三个中微子振荡参数,并探测来自各种地球和地外来源的中微子。本次演讲将介绍JUNO探测器和泰山反中微子观测站(JUNO- tao)的现状和进展,该观测站是JUNO的卫星实验,旨在以亚百分比能量分辨率测量反应堆反中微子光谱,为未来的反应堆中微子实验提供参考光谱。
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引用次数: 1
The status of the R&D of Ultra Fast 8 times 8 Readout MCP-PMTs in IHEP IHEP超快速8倍8读出MCP-PMTs的研究现状
S. Qian, Lishuang Ma, Hao Guo, Guorui Huang, Q. Hu, Li Zhen, Shulin Liu, Z. Ning, S. Peng, Ren Ling, Detan Su, Su Jianning, Si Shuguang, Qi Wu, Wang Xingchao, Wang Ning, Wu Kai, Zhigang Wang, Zhile Wang, M. Yan, Yao Zhu, Lingfeng Zhang, Yinhong Zhang
Based on the development of the 20-inch large-area MCP-PMT, the research of a small, ultra-fast MCP-PMT is carried out with the cooperation of Institute of High Energy Physics (IHEP), Chinese Academy of Sciences and Northern Night Vision Technology Co., LTD (NNVT). The structural simulation and optimization of the fast-time PMT was first performed by a Monte Carlo-based approach. Accurate measurements of the time performance of greatest interest are then tested and validated. IHEP and NNVT have successfully developed single-anode, 4 times 4-anode and 8 times 8-anode sample tubes suitable for different application scenarios. While maintaining the single-photon detection capability of the sample tube, the limiting time resolution of the
在20英寸大面积MCP-PMT发展的基础上,与中国科学院高能物理研究所(IHEP)和北方夜视科技有限公司(NNVT)合作,开展了小型超快MCP-PMT的研究。首先采用蒙特卡罗方法对快时PMT进行了结构仿真和优化。然后测试和验证最感兴趣的时间性能的精确测量。IHEP和NNVT已经成功开发出适合不同应用场景的单阳极、4倍4阳极和8倍8阳极样管。在保持样品管的单光子检测能力的同时,限制时间分辨率
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引用次数: 3
Characterization of ALPIDE silicon sensors with inclined tracks 倾斜轨迹ALPIDE硅传感器的表征
S. Kushpil
The upgrade of the ALICE Inner Tracking System (ITS) aims at improving the capabilities of ALICE in terms of read-out rate as well as track pointing resolution and track finding efficiency, especially for particles with low transverse momenta. The new ITS will be a low material budget detector with high granularity and read-out speed. It comprises seven concentric layers of Monolithic Active Pixel Sensors (MAPS) with a total active surface of about 10 m2. The developed MAPS are based on the TowerJazz 180 nm CMOS technology. The sensor is called ALPIDE. In this paper we present the setup used for measurements with inclined tracks and we discuss the sensor efficiency obtained using π beams with a momentum of 6 GeV/c at the Proton Synchrotron (PS) at CERN. Some sensors were irradiated before the beam test using the cyclotron facility of the Nuclear Physics Institute of the Czech Academy of Sciences (NPI CAS) to induce radation damage to the sensor. Measurements at different operating points (thresholds, bias voltages) provide important information about cluster-shape frequencies, needed to tune the ALICE Monte-Carlo generators. Very good agreement between test-beam data and simulations is obtained.
ALICE内部跟踪系统(ITS)的升级旨在提高ALICE的读出速率、航迹指向分辨率和寻迹效率,特别是对于低横向动量的粒子。新的ITS将是一个具有高粒度和读出速度的低材料预算检测器。它由7个同心层的单片有源像素传感器(MAPS)组成,总有效表面约为10平方米。开发的map基于TowerJazz 180纳米CMOS技术。这种传感器被称为ALPIDE。本文介绍了斜轨测量的装置,并讨论了在CERN质子同步加速器(PS)上使用动量为6 GeV/c的π光束获得的传感器效率。一些传感器在束流试验前使用捷克科学院核物理研究所的回旋加速器设施进行辐照,以对传感器造成辐射损伤。在不同工作点(阈值,偏置电压)的测量提供了关于簇形频率的重要信息,这些信息是调整ALICE蒙特卡罗发生器所需要的。实验数据与模拟结果吻合较好。
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引用次数: 0
The JUNO Calibration Strategy and Simulation JUNO标定策略与仿真
Kangfu Zhu, Qingmin Zhang
The Jiangmen Underground Neutrino Observatory (JUNO) is designed to primarily measure the neutrino Mass Ordering (MO) by detecting reactor anti-neutrinos via inverse beta decay. JUNO also has other rich physical potentials. Its Central Detector (CD), which is an acrylic sphere with a diameter of 35.4 m, filled by approximately 20 kton of liquid scintillator (LS), is equipped with large photomultipliers (18k for the CD + 2k for the Water Pool) and small photomultipliers (25,600) to measure the energy resolution of neutrinos with an unprecedented energy resolution of 3%/ E and an energy non-linearity better than 1%. Accordingly, a calibration complex, including Automatic Calibration Unit (ACU), Cable Loop System (CLS), Guide Tube Calibration System (GTCS) and Remotely Operated under-liquid-scintillator Vehicles (ROV), is designed to deliver multiple radioactive sources for the energy coverage of reactor neutrinos and CD full-volume. In this proceeding, the new design details and up-to-date progress about JUNO calibration system are presented.
江门地下中微子天文台(JUNO)主要是通过反β衰变探测反应堆反中微子来测量中微子的质量有序(MO)。朱诺还有其他丰富的物理潜力。它的中央探测器(CD)是一个直径35.4米的丙烯酸球体,填充了大约20千吨的液体闪烁体(LS),配备了大型光电倍增管(CD为18k,水池为2k)和小型光电倍增管(25,600)来测量中微子的能量分辨率,能量分辨率达到前所未有的3%/ E,能量非线性优于1%。因此,包括自动校准单元(ACU)、电缆回路系统(CLS)、导管校准系统(GTCS)和远程操作液下闪烁器车辆(ROV)在内的校准综合体设计用于提供多个放射源,以覆盖反应堆中微子和CD的全体积能量。本文介绍了JUNO标定系统的最新设计细节和最新进展。
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引用次数: 0
Erratic server behavior detection using machine learning on basic monitoring metrics 在基本监控指标上使用机器学习进行不稳定服务器行为检测
M. Adam, L. Magnoni, D. Adamová
With the explosion of the number of distributed applications, a new dynamic server environment emerged grouping servers into clusters, utilization of which depends on the current demand for the application. To provide reliable and smooth services it is crucial to detect and fix possible erratic behavior of individual servers in these clusters. Use of standard techniques for this purpose requires manual work and delivers sub-optimal results. Using only application agnostic monitoring metrics our machine learning based method analyzes the recent performance of the inspected server as well as the state of the rest of the cluster, thus checking not only the behavior of the single server, but the load on the whole distributed application as well. We have implemented our method in a Spark job running in the CERN MONIT infrastructure. In this contribution we present results of testing multiple machine learning algorithms and pre-processing techniques to identify the servers erratic behavior. We also discuss the challenges of deploying our new method into production.
随着分布式应用程序数量的激增,出现了一种新的动态服务器环境,将服务器分组到集群中,集群的利用率取决于应用程序的当前需求。为了提供可靠和流畅的服务,检测和修复这些集群中单个服务器可能出现的不稳定行为至关重要。为此目的使用标准技术需要手工工作,并提供次优结果。仅使用与应用程序无关的监控指标,我们基于机器学习的方法分析被检查服务器的近期性能以及集群其余部分的状态,从而不仅检查单个服务器的行为,还检查整个分布式应用程序的负载。我们已经在运行在CERN MONIT基础设施中的Spark作业中实现了我们的方法。在这篇文章中,我们展示了测试多种机器学习算法和预处理技术以识别服务器不稳定行为的结果。我们还讨论了将新方法部署到生产环境中的挑战。
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引用次数: 0
Probing the prospective FCC-he sensitivities on the electromagnetic dipole moments of the top-quark 探讨顶夸克电磁偶极矩的未来fcc - e灵敏度
M. A. Hernandez-ruiz, Muhammet Köksal, A. Billur, A. Gutiérrez-Rodríguez
M. A. Hernández-Ruíz,0,∗ M. Köksal, A. A. Billur and A. Gutiérrez-Rodríguez. Unidad Académica de Ciencias Químicas, Universidad Autónoma de Zacatecas Apartado Postal 585, 98060 Zacatecas, México. Deparment of Optical Engineering, Sivas Cumhuriyet University 58140, Sivas, Turkey. Deparment of Physics, Sivas Cumhuriyet University 58140, Sivas, Turkey. Unidad Académica de Física, Universidad Autónoma de Zacatecas Apartado Postal C-580, 98060 Zacatecas, México. E-mail: mahernan@uaz.edu.mx, mkoksal@cumhuriyet.edu.tr,
M. A. hernandez - ruiz,0,∗M. koksal, A. A. Billur和A. gutierrez - rodriguez。萨卡特卡斯自治大学化学科学学术单位,Apartado Postal 585, 98060萨卡特卡斯,墨西哥。土耳其Sivas Cumhuriyet大学光学工程系58140。= =地理= =根据美国人口普查,该镇的土地面积为。学术单位物理,萨卡特卡斯自治大学Apartado Postal C-580, 98060萨卡特卡斯,墨西哥。电子邮件:mahernan@uaz.edu.mx, mkoksal@cumhuriyet.edu.tr,
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引用次数: 0
Latest Results from the AMS Experiment on the International Space Station 国际空间站AMS实验的最新结果
Z. Weng
The Alpha Magnetic Spectrometer is a general-purpose particle physics detector operating on the International Space Station. Precision measurements by AMS of the cosmic-ray elementary particle fluxes and nuclei fluxes reveal new unexpected phenomena. The positron flux exhibits a significant excess starting from 25.2 ± 1.8GeV followed by a sharp drop-off above 284+91 −64 GeV, consistent with a primary source of cosmic-ray positrons from either dark matter collisions or new astrophysical sources. The different behavior of the cosmic-ray electron flux and positron flux shows that most high energy electrons originate from different sources than high energy positrons. Intriguingly, the positron flux and the antiproton flux have strikingly similar behavior at high energies. New observations from AMS on cosmic nuclei show that primary cosmic-ray He, C, and O have an identical rigidity dependence above 60 GV and deviate from a single powerlaw above 200 GV. Unexpectedly, the primary Ne, Mg, and Si also have an identical rigidity dependence above 86.5 GV, but they are different from that of He, C, and O. This shows that primary cosmic rays have at least two distinct classes of rigidity dependence. Above 30 GV, secondary cosmic nuclei Li, Be, and B have identical rigidity dependence which is distinctly different from those of primary cosmic rays. The results from AMS on many different types of cosmic rays are not explained by the current theoretical models and provide unique input to the understanding of the origins and evolution of cosmic rays in the galaxy.
阿尔法磁谱仪是在国际空间站上运行的通用粒子物理探测器。AMS对宇宙射线基本粒子通量和原子核通量的精确测量揭示了新的意想不到的现象。从25.2±1.8GeV开始,正电子通量表现出明显的过剩,随后在284+91−64 GeV以上急剧下降,这与暗物质碰撞或新的天体物理源产生宇宙射线正电子的主要来源一致。宇宙射线电子通量和正电子通量的不同行为表明,大多数高能电子的来源与高能正电子不同。有趣的是,正电子通量和反质子通量在高能量下有着惊人的相似行为。AMS对宇宙核的新观测表明,初级宇宙射线He、C和O在60 GV以上具有相同的刚性依赖,在200 GV以上偏离单一幂律。出乎意料的是,Ne、Mg和Si在86.5 GV以上也具有相同的刚度依赖,但它们与He、C和o不同。这表明,初级宇宙射线至少具有两种不同的刚度依赖。在30 GV以上,次级宇宙核Li、Be和B具有相同的刚性依赖,这与初级宇宙射线的刚性依赖有明显区别。AMS对许多不同类型的宇宙射线的结果无法用当前的理论模型解释,并为理解星系中宇宙射线的起源和演化提供了独特的输入。
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引用次数: 4
Automated selection of particle-jet features for data analysis in High Energy Physics experiments 高能物理实验数据分析中粒子射流特征的自动选择
A. Luca, F. Follega, M. Cristoforetti, R. Iuppa
We show that it is possible to reduce the size of a classification problem by automatically ranking the relative importance of available features. Variables are importance-sorted with a decision tree algorithm and correlated ones are removed after ranking. The selected features can be used as input quantities for the classification problem at hand. We tested the method with the case of highly boosted di-jet resonances decaying to two 1-quarks, to be selected against an overwhelming QCD background with a Deep Neural network. We make it explicit the relation between different importance rankings obtained with different algorithms. We also show how the signal-to-background ratio changes, varying the number of features to feed the Neural Network with.
我们展示了通过自动对可用特征的相对重要性进行排序来减小分类问题的大小是可能的。采用决策树算法对变量进行重要性排序,排序后去除相关变量。所选择的特征可以用作当前分类问题的输入量。我们在高度增强的双射流共振衰减到两个1夸克的情况下测试了该方法,并通过深度神经网络在压倒性的QCD背景下进行了选择。我们明确了不同算法得到的不同重要性排序之间的关系。我们还展示了信号背景比是如何变化的,改变了输入神经网络的特征的数量。
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引用次数: 1
期刊
Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)
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