GRAPHICAL CONCEPTS FOR THE REPRESENTATION OF EVENTS IN HIGH ENERGY PHYSICS

1990 ◽  
Vol 01 (01) ◽  
pp. 147-163 ◽  
Author(s):  
H. DREVERMANN ◽  
C. GRAB
Keyword(s):  
Magnetic Field ◽  
High Energy Physics ◽  
Three Dimensional ◽  
Charged Particles ◽  
Homogeneous Magnetic Field ◽  
High Energy ◽  
Track Geometry ◽  
Aleph Detector ◽  
Complicated Event ◽  
Energy Physics

Different methods to graphically represent points and tracks of events, measured with the ALEPH-detector at LEP, are discussed. Special emphasis is put on projections, that are adapted to the cylindrical geometry of the detector, to the track geometry of charged particles moving in a homogeneous magnetic field and to the event topologies, encountered in Z0 physics. A new concept, the so-called "V-plot", is introduced, which incorporates the full three-dimensional information of spatial points in a single picture. It is ideally suited for the study of more complicated event topologies, such as e.g. decays of particles within jets, and of the correlation between tracks and calorimeter clusters. In addition, we propose ways of combining histograms and projections to incorporate the tracking and calorimetric information into a single picture. We describe methods of employing colour schemes to facilitate recognition of correlations between hits, tracks and/or subdetectors in different representations.

Graphical Concepts for the Representation of Events in High Energy Physics

1991 ◽  
Vol 02 (01) ◽  
pp. 328-330
Author(s):  
H. DREVERMANN ◽  
C. GRAB ◽  
B.S. NILSSON ◽  
R.K. VOGL
Keyword(s):  
Magnetic Field ◽  
High Energy Physics ◽  
Three Dimensional ◽  
Charged Particles ◽  
Homogeneous Magnetic Field ◽  
High Energy ◽  
Track Geometry ◽  
Aleph Detector ◽  
Complicated Event ◽  
Energy Physics

Different methods to graphically represent points and tracks of events, measured with the ALEPH-detector at LEP, are discussed. Special emphasis is put on projections, that are adapted to the cylindrical geometry of the detector, to the track geometry of charged particles moving in a homogeneous magnetic field and to the specific event topologies, encountered in Z0 physics. A new concept, the so-called “V-plot”, is introduced, which incorporates the full three dimensional information of spatial points in a single picture. It is ideally suited for the study of more complicated event topologies, such as e.g. decays of particles within jets, and of the correlation between information from tracking and calorimetric devices. In addition, we propose ways of combining histograms and projections in a single picture. We describe methods of employing colour schemes to facilitate recognition of correlations between hits, tracks and/or subdetectors in different representations.

scholarly journals Track Finding with Deep Neural Networks

2019 ◽  
Vol 20 (4) ◽  
Author(s):  
Marcin Kucharczyk ◽  
Marcin Wolter
Keyword(s):  
Deep Neural Networks ◽  
High Energy Physics ◽  
Charged Particles ◽  
High Energy ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Data Dependencies ◽  
Speed Up ◽  
Physics Experiments ◽  
Energy Physics

High Energy Physics experiments require fast and efficient methods toreconstruct the tracks of charged particles. Commonly used algorithms aresequential and the CPU required increases rapidly with a number of tracks.Neural networks can speed up the process due to their capability to modelcomplex non-linear data dependencies and finding all tracks in parallel.In this paper we describe the application of the Deep Neural Networkto the reconstruction of straight tracks in a toy two-dimensional model. It isplanned to apply this method to the experimental data taken by the MUonEexperiment at CERN.

scholarly journals All-optical quasi-monoenergetic GeV positron bunch generation by twisted laser fields

2022 ◽  
Vol 5 (1) ◽  
Author(s):  
Jie Zhao ◽  
Yan-Ting Hu ◽  
Yu Lu ◽  
Hao Zhang ◽  
Li-Xiang Hu ◽  
...  
Keyword(s):  
Laser Pulse ◽  
Electric Fields ◽  
High Energy Physics ◽  
Energetic Electron ◽  
Three Dimensional ◽  
High Energy ◽  
Electron Positron ◽  
All Optical ◽  
Positron Bunch ◽  
Energy Physics

AbstractGeneration of energetic electron-positron pairs using multi-petawatt (PW) lasers has recently attracted increasing interest. However, some previous laser-driven positron beams have severe limitations in terms of energy spread, beam duration, density, and collimation. Here we propose a scheme for the generation of dense ultra-short quasi-monoenergetic positron bunches by colliding a twisted laser pulse with a Gaussian laser pulse. In this scheme, abundant γ-photons are first generated via nonlinear Compton scattering and positrons are subsequently generated during the head-on collision of γ-photons with the Gaussian laser pulse. Due to the unique structure of the twisted laser pulse, the positrons are confined by the radial electric fields and experience phase-locked-acceleration by the longitudinal electric field. Three-dimensional simulations demonstrate the generation of dense sub-femtosecond quasi-monoenergetic GeV positron bunches with tens of picocoulomb (pC) charge and extremely high brilliance above 1014 s−1 mm−2 mrad−2 eV−1, making them promising for applications in laboratory physics and high energy physics.

scholarly journals DRIFT CHAMBER TRACKING WITH A VLSI NEURAL NETWORK

1992 ◽  
Vol 03 (supp01) ◽  
pp. 285-295
Author(s):  
Clark S. Lindsey ◽  
Bruce Denby ◽  
Herman Haggerty ◽  
Ken Johns
Keyword(s):  
Neural Network ◽  
Real Time ◽  
High Energy Physics ◽  
Charged Particles ◽  
Drift Chamber ◽  
High Energy ◽  
Analog Vlsi ◽  
Test Setup ◽  
Energy Physics

We have tested a commercial analog VLSI neural network chip for finding in real time the intercept and slope of charged particles traversing a drift chamber. Voltages proportional to the drift times were input to the Intel ETANN chip and the outputs were recorded and later compared off line to conventional track fits. We will discuss the chamber and test setup, the chip specifications, and results of recent tests. We’ll briefly discuss possible applications in high energy physics detector triggers.

scholarly journals Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations

2021 ◽  
Vol 251 ◽  
pp. 03042
Author(s):  
Florian Rehm ◽  
Sofia Vallecorsa ◽  
Kerstin Borras ◽  
Dirk Krücker
Keyword(s):  
Neural Networks ◽  
Monte Carlo ◽  
Network Architecture ◽  
High Energy Physics ◽  
Three Dimensional ◽  
High Energy ◽  
Generative Adversarial Networks ◽  
Convolutional Networks ◽  
Representational Power ◽  
Energy Physics

The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based simulation is extremely demanding in terms of computing resources. This challenge motivates investigations of faster, alternative approaches for replacing the standard Monte Carlo technique. We apply Generative Adversarial Networks (GANs), a deep learning technique, to replace the calorimeter detector simulations and speeding up the simulation time by orders of magnitude. We follow a previous approach which used three-dimensional convolutional neural networks and develop new two-dimensional convolutional networks to solve the same 3D image generation problem faster. Additionally, we increased the number of parameters and the neural networks representational power, obtaining a higher accuracy. We compare our best convolutional 2D neural network architecture and evaluate it versus the previous 3D architecture and Geant4 data. Our results demonstrate a high physics accuracy and further consolidate the use of GANs for fast detector simulations.

Applications

2014 ◽  
pp. 228-256
Keyword(s):  
Homeland Security ◽  
High Energy Physics ◽  
Charged Particles ◽  
High Energy ◽  
Short Description ◽  
Dark Matter Search ◽  
Time Projection Chambers ◽  
Time Projection ◽  
New Applications ◽  
Energy Physics

In this chapter, some applications of micropattern detectors are described. Their main application is tracking of charged particles in high-energy physics. However, currently there are a lot of research and developments going on, which may open new exciting fields of applications, for example in dark matter search, medical applications, homeland security, etc. The authors start with the traditional applications, which are in high-energy physics and astrophysics. Later, the focus shifts to promising developments oriented towards new applications. These innovative applications include: imaging of charged particles and energetic photons with unprecedented high 2-D spatial resolution (e.g. in mammography), time projection chambers capable operating in a high flux of particles (e.g. ALICE upgraded TPC), and visualization of ultraviolet and visible photons. Finally, a short description of the international collaboration RD51 established at CERN is given in order to promote the development of micropattern detectors and their applications.

scholarly journals The Evolution-Dominated Hydrodynamic Model and the Pseudorapidity Distributions in High Energy Physics

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Z. J. Jiang ◽  
H. L. Zhang ◽  
J. Wang ◽  
K. Ma
Keyword(s):  
Hydrodynamic Model ◽  
High Energy Physics ◽  
Charged Particles ◽  
Heavy Ion ◽  
High Energy ◽  
Ion Collisions ◽  
Phobos Collaboration ◽  
Pseudorapidity Distributions ◽  
Theoretical Results ◽  
Energy Physics

By taking into account the effects of leading particles, we discuss the pseudorapidity distributions of the charged particles produced in high energy heavy ion collisions in the context of evolution-dominated hydrodynamic model. The leading particles are supposed to have a Gaussian rapidity distribution normalized to the number of participants. A comparison is made between the theoretical results and the experimental measurements performed by BRAHMS and PHOBOS Collaboration at BNL-RHIC in Au-Au and Cu-Cu collisions atsNN=200 GeV and by ALICE Collaboration at CERN-LHC in Pb-Pb collisions atsNN=2.76 TeV.

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