568 citations · 769 across the 16 of their papers we have counts for
17 papers
ColliderML: The First Release of an OpenDataDetector High-Luminosity Physics Benchmark Dataset
Doğa Elitez, Paul Gessinger, Daniel Murnane +5
We introduce ColliderML - a large, open, experiment-agnostic dataset of fully simulated and digitised proton-proton collisions in High-Luminosity Large Hadron Collider conditions (…
traccc: GPU track reconstruction library for HEP experiments
Paul Gessinger, Heather M. Gray, Attila Krasznahorkay +5
We present the current development status and progress of traccc, a GPU track reconstruction library developed in the context of the A Common Tracking Software (ACTS) project. trac…
The derivation of Jacobian matrices for the propagation of track parameter uncertainties in the presence of magnetic fields and detector material
Beomki Yeo, Heather Gray, Andreas Salzburger +1
In high-energy physics experiments, the trajectories of charged particles are reconstructed using track reconstruction algorithms. Such algorithms need to both identify the set of…
Combined track finding with GNN & CKF
Lukas Heinrich, Benjamin Huth, Andreas Salzburger +1
The application of Graph Neural Networks (GNN) in track reconstruction is a promising approach to cope with the challenges arising at the High-Luminosity upgrade of the Large Hadro…
Auto-tuning capabilities of the ACTS track reconstruction suite
Corentin Allaire, Rocky Bala Garg, Hadrien Benjamin Grasland +5
The reconstruction of charged particle trajectories is a crucial challenge of particle physics experiments as it directly impacts particle reconstruction and physics performances.…
Potentiality of automatic parameter tuning suite available in ACTS track reconstruction software framework
Rocky Bala Garg, Corentin Allaire, Andreas Salzburger +3
Particle tracking is among the most sophisticated and complex part of the full event reconstruction chain. A number of reconstruction algorithms work in a sequence to build these t…
Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays
Stephen Nicholas Swatman, Ana-Lucia Varbanescu, Andy D. Pimentel +2
The layout of multi-dimensional data can have a significant impact on the efficacy of hardware caches and, by extension, the performance of applications. Common multi-dimensional l…
A Non-Linear Kalman Filter for track parameters estimation in High Energy Physics
Xiaocong Ai, Heather M. Gray, Andreas Salzburger +1
The Kalman Filter is a widely used approach for the linear estimation of dynamical systems and is frequently employed within nuclear and particle physics experiments for the recons…
Machine learning for surface prediction in ACTS
Benjamin Huth, Andreas Salzburger, Tilo Wettig
We present an ongoing R&D activity for machine-learning-assisted navigation through detectors to be used for track reconstruction. We investigate different approaches of training n…
A Common Tracking Software Project
Xiaocong Ai, Corentin Allaire, Noemi Calace +29
The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tunin…
The Tracking Machine Learning challenge : Throughput phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +18
This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first "Accuracy" phase, the participants…
Hashing and metric learning for charged particle tracking
Sabrina Amrouche, Moritz Kiehn, Tobias Golling +1
We propose a novel approach to charged particle tracking at high intensity particle colliders based on Approximate Nearest Neighbors search. With hundreds of thousands of measureme…
The Tracking Machine Learning challenge : Accuracy phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +24
This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the tr…
Production and Integration of the ATLAS Insertable B-Layer
B. Abbott, J. Albert, F. Alberti +373
During the shutdown of the CERN Large Hadron Collider in 2013-2014, an additional pixel layer was installed between the existing Pixel detector of the ATLAS experiment and a new, s…
A Layer Correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test
E. Abat, J. M. Abdallah, T. N. Addy +482
A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis o…
A Layer Correlation Technique for Pion Energy Calibration at the 2004 ATLAS Combined Beam Test
Karl-Johan Grahn
A new method for calibrating the hadron response of a segmented calorimeter is developed. It is based on a principal component analysis of the calorimeter layer energy deposits, ex…
Alignment of the Pixel and SCT Modules for the 2004 ATLAS Combined Test Beam
A. Ahmad, A. Andreazza, T. Atkinson +126
A small set of final prototypes of the ATLAS Inner Detector silicon tracker (Pixel and SCT) were used to take data during the 2004 Combined Test Beam. Data were collected from runs…