scholarly journals Secondary Vertex Reconstruction

2020 ◽  
pp. 159-165
Author(s):  
Rudolf Frühwirth ◽  
Are Strandlie
Keyword(s):  
Secondary Vertex ◽  
Hadronic Interactions ◽  
Vertex Reconstruction ◽  
Detector Material

AbstractThe chapter reviews methods for the search for secondary vertices. Four types of secondary vertices are discussed in detail: decays of short-lived particles, decays of long-lived particles, photon conversions, and hadronic interactions in the detector material.

scholarly journals A track finding algorithm for the inner tracking system of MPD/NICA

2019 ◽  
Vol 204 ◽  
pp. 07006 ◽  
Author(s):  
Dmitry Zinchenko ◽  
Eduard Nikonov ◽  
Alexander Zinchenko
Keyword(s):  
Tracking System ◽  
Simulated Data ◽  
Secondary Vertex ◽  
Track Reconstruction ◽  
Interaction Point ◽  
Inner Tracking System ◽  
Pixel Sensors ◽  
First Results ◽  
Vertex Reconstruction

An inner tracking system (ITS) based on silicon pixel sensors is currently considered as one of the possible MPD upgrade steps. The main purpose of the new detector is to provide a better precision of the primary and secondary vertex reconstruction and improve track reconstruction in MPD in the region close to the interaction point. To study the ITS performance a new track finding algorithm was developed, which better takes into account the new system’s advantages. In this paper the new algorithm is described and first results obtained on simulated data are presented.

scholarly journals Secondary vertex finding in jets with neural networks

2021 ◽  
Vol 81 (6) ◽  
Author(s):  
Jonathan Shlomi ◽  
Sanmay Ganguly ◽  
Eilam Gross ◽  
Kyle Cranmer ◽  
Yaron Lipman ◽  
...  
Keyword(s):  
Performance Metrics ◽  
Graph Model ◽  
New Physics ◽  
Classification Performance ◽  
Common Vertex ◽  
Intermediate Step ◽  
Secondary Vertex ◽  
Vertex Reconstruction ◽  
Flavor Tagging ◽  
Traditional Approaches

AbstractJet classification is an important ingredient in measurements and searches for new physics at particle colliders, and secondary vertex reconstruction is a key intermediate step in building powerful jet classifiers. We use a neural network to perform vertex finding inside jets in order to improve the classification performance, with a focus on separation of bottom vs. charm flavor tagging. We implement a novel, universal set-to-graph model, which takes into account information from all tracks in a jet to determine if pairs of tracks originated from a common vertex. We explore different performance metrics and find our method to outperform traditional approaches in accurate secondary vertex reconstruction. We also find that improved vertex finding leads to a significant improvement in jet classification performance.

Femtosecond Laser Passivation of GaAs Detector Material

2008 ◽  
Author(s):  
Martin Richardson ◽  
Glenn Boreman ◽  
Kathleen Richardson
Keyword(s):  
Femtosecond Laser ◽  
Detector Material

scholarly journals The leading effect explains the forward-backward multiplicity correlations in hadronic interactions

1983 ◽  
Vol 38 (10) ◽  
pp. 359-366 ◽  
Author(s):  
M. Basile ◽  
G. Bonvicini ◽  
G. Cara Romeo ◽  
L. Cifarelli ◽  
A. Contin ◽  
...  
Keyword(s):  
Hadronic Interactions

scholarly journals High energy cosmic ray interactions and UHECR composition problem

2019 ◽  
Vol 210 ◽  
pp. 02001
Author(s):  
Sergey Ostapchenko
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Cosmic Rays ◽  
Cosmic Ray ◽  
High Energy ◽  
Ultra High Energy ◽  
Hadronic Interactions ◽  
High Energy Cosmic Rays ◽  
Cosmic Ray Interactions ◽  
Composition Problem

The differences between contemporary Monte Carlo generators of high energy hadronic interactions are discussed and their impact on the interpretation of experimental data on ultra-high energy cosmic rays (UHECRs) is studied. Key directions for further model improvements are outlined. The prospect for a coherent interpretation of the data in terms of the UHECR composition is investigated.

scholarly journals Elementary hadronic interactions at the CERN SPS

2003 ◽  
Vol 715 ◽  
pp. 118c-128c ◽  
Author(s):  
H.G. Fischer
Keyword(s):  
Hadronic Interactions
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