scholarly journals Development of Algorithms for Track Reconstruction and Matching in the ITS and TPC Detectors at MPD/NICA

2021 ◽  
Vol 14 (3) ◽  
pp. 519
Author(s):  
D. Zinchenko ◽  
A. Zinchenko ◽  
E. Nikonov
Keyword(s):  
Track Reconstruction

scholarly journals A Compact Muon Tracker for Dynamic Tomography of Density Based on a Thin Time Projection Chamber with Micromegas Readout

Particles ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 333-342
Author(s):  
Ignacio Lázaro Roche
Keyword(s):  
Time Projection Chamber ◽  
Wide Field ◽  
Track Reconstruction ◽  
Long Term Stability ◽  
Societal Issues ◽  
Primary Signal ◽  
And Performance ◽  
Time Projection

Tomography based on cosmic muon absorption is a rising technique because of its versatility and its consolidation as a geophysics tool over the past decade. It allows us to address major societal issues such as long-term stability of natural and man-made large infrastructures or sustainable underwater management. Traditionally, muon trackers consist of hodoscopes or multilayer detectors. For applications with challenging available volumes or the wide field of view required, a thin time projection chamber (TPC) associated with a Micromegas readout plane can provide a good tradeoff between compactness and performance. This paper details the design of such a TPC aiming at maximizing primary signal and minimizing track reconstruction artifacts. The results of the measurements performed during a case study addressing the aforementioned applications are discussed. The current works lines and perspectives of the project are also presented.

scholarly journals Studying the Potential of Graphcore® IPUs for Applications in Particle Physics

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Samuel Maddrell-Mander ◽  
Lakshan Ram Madhan Mohan ◽  
Alexander Marshall ◽  
Daniel O’Hanlon ◽  
Konstantinos Petridis ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Kalman Filter ◽  
Particle Physics ◽  
Processing Unit ◽  
Network Architectures ◽  
Track Reconstruction ◽  
Event Simulation ◽  
Scattering Correction ◽  
New Type

AbstractThis paper presents the first study of Graphcore’s Intelligence Processing Unit (IPU) in the context of particle physics applications. The IPU is a new type of processor optimised for machine learning. Comparisons are made for neural-network-based event simulation, multiple-scattering correction, and flavour tagging, implemented on IPUs, GPUs and CPUs, using a variety of neural network architectures and hyperparameters. Additionally, a Kálmán filter for track reconstruction is implemented on IPUs and GPUs. The results indicate that IPUs hold considerable promise in addressing the rapidly increasing compute needs in particle physics.

Search by triplet: An efficient local track reconstruction algorithm for parallel architectures

2021 ◽  
pp. 101422
Author(s):  
Daniel Hugo Cámpora Pérez ◽  
Niko Neufeld ◽  
Agustín Riscos Núñez
Keyword(s):  
Reconstruction Algorithm ◽  
Parallel Architectures ◽  
Track Reconstruction

scholarly journals Muon track reconstruction and data selection techniques in AMANDA

2004 ◽  
Vol 524 (1-3) ◽  
pp. 169-194 ◽  
Author(s):  
J. Ahrens ◽  
X. Bai ◽  
R. Bay ◽  
S.W. Barwick ◽  
T. Becka ◽  
...  
Keyword(s):  
Data Selection ◽  
Muon Track ◽  
Track Reconstruction

Development of a Vector Finder Toolkit for Track Reconstruction in MPD ITS

2021 ◽  
Vol 52 (4) ◽  
pp. 788-792
Author(s):  
D. Zinchenko ◽  
A. Zinchenko ◽  
E. Nikonov
Keyword(s):  
Track Reconstruction

scholarly journals Rapid 3D Track Reconstruction with the BaBar Trigger Upgrade

2004 ◽  
Author(s):  
S Bailey
Keyword(s):  
Track Reconstruction

scholarly journals First Demonstration of a Pixelated Charge Readout for Single-Phase Liquid Argon Time Projection Chambers

Instruments ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 9 ◽  
Author(s):  
Jonathan Asaadi ◽  
Martin Auger ◽  
Antonio Ereditato ◽  
Damian Goeldi ◽  
Umut Kose ◽  
...  
Keyword(s):  
Single Phase ◽  
Signal To Noise Ratio ◽  
Liquid Argon ◽  
Track Reconstruction ◽  
3D Tracking ◽  
3D Space ◽  
Time Projection Chambers ◽  
Event Reconstruction ◽  
Phase Liquid ◽  
Time Projection

Traditional charge readout technologies of single-phase Liquid Argon Time projection Chambers (LArTPCs) based on projective wire readout introduce intrinsic ambiguities in event reconstruction. Combined with the slow response inherent in LArTPC detectors, reconstruction ambiguities have limited their performance, until now. Here, we present a proof of principle of a pixelated charge readout that enables the full 3D tracking capabilities of LArTPCs. We characterize the signal-to-noise ratio of charge readout chain to be about 14, and demonstrate track reconstruction on 3D space points produced by the pixel readout. This pixelated charge readout makes LArTPCs a viable option for high-multiplicity environments.

3D track reconstruction of neutron-induced recoil protons in fluorescent nuclear track detectors (FNTDs)

2020 ◽  
Vol 137 ◽  
pp. 106438
Author(s):  
A. Stabilini ◽  
M.S. Akselrod ◽  
V. Fomenko ◽  
S. Greilich ◽  
J. Harrison ◽  
...  
Keyword(s):  
Track Reconstruction ◽  
Nuclear Track Detectors
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