Search Results - "Salzburger, Andreas"

Machine learning for surface prediction in ACTS by Huth, Benjamin, Salzburger, Andreas, Wettig, Tilo

“…We present an ongoing R&D activity for machine-learning-assisted navigation through detectors to be used for track reconstruction. We investigate different…”
Get full text

Potentiality of automatic parameter tuning suite available in ACTS track reconstruction software framework by Garg, Rocky Bala, Allaire, Corentin, Salzburger, Andreas, Grasland, Hadrien, Tompkins, Lauren, Hofgard, Elyssa

“…Particle tracking is among the most sophisticated and complex part of the full event reconstruction chain. A number of reconstruction algorithms work in a…”
Get full text

The Acts project: track reconstruction software for HL-LHC and beyond by Gessinger, Paul, Grasland, Hadrien, Gray, Heather, Kiehn, Moritz, Klimpel, Fabian, Langenberg, Robert, Salzburger, Andreas, Schlag, Bastian, Zhang, Jin, Ai, Xiaocong

“…The reconstruction of trajectories of the charged particles in the tracking detectors of high energy physics (HEP) experiments is one of the most difficult and…”
Get full text

Going standalone and platform-independent, an example from recent work on the ATLAS Detector Description and interactive data visualization by Merkt, Sebastian Andreas, Bianchi, Riccardo Maria, Boudreau, Joseph, Gessinger-Befurt, Paul, Moyse, Edward, Salzburger, Andreas, Tsulaia, Vakhtang

“…Until recently, the direct visualization of the complete ATLAS experiment geometry and physics objects was confined within the software framework of the…”
Get full text

The TrackML high-energy physics tracking challenge on Kaggle by Kiehn, Moritz, Amrouche, Sabrina, Calafiura, Paolo, Estrade, Victor, Farrell, Steven, Germain, Cécile, Gligorov, Vava, Golling, Tobias, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Moyse, Edward, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Yilnaz, Yetkin

“…The High-Luminosity LHC (HL-LHC) is expected to reach unprecedented collision intensities, which in turn will greatly increase the complexity of tracking…”
Get full text

Track reconstruction at LHC as a collaborative data challenge use case with RAMP by Amrouche, Sabrina, Braun, Nils, Calafiura, Paolo, Farrell, Steven, Gemmler, Jochen, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kégl, Balázs, Neuhaus, Sara, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrei, Vlimant, Jean-Roch, Wessel, Christian, Yilmaz, Yetkin

“…Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider…”
Get full text

The derivation of Jacobian matrices for the propagation of track parameter uncertainties in the presence of magnetic fields and detector material by Yeo, Beomki, Gray, Heather, Salzburger, Andreas, Swatman, Stephen Nicholas

“…In high-energy physics experiments, the trajectories of charged particles are reconstructed using track reconstruction algorithms. Such algorithms need to both…”
Get full text

A non-linear Kalman filter for track parameters estimation in high energy physics by Ai, Xiaocong, Gray, Heather M., Salzburger, Andreas, Styles, Nicholas

“…The Kalman Filter is a widely used approach for the linear quadratic estimation of dynamical systems and is frequently employed within nuclear and particle…”
Get full text

A Common Tracking Software Project by Ai, Xiaocong, Allaire, Corentin, Calace, Noemi, Czirkos, Angéla, Elsing, Markus, Ene, Irina, Farkas, Ralf, Gagnon, Louis-Guillaume, Garg, Rocky, Gessinger, Paul, Grasland, Hadrien, Gray, Heather M., Gumpert, Christian, Hrdinka, Julia, Huth, Benjamin, Kiehn, Moritz, Klimpel, Fabian, Kolbinger, Bernadette, Krasznahorkay, Attila, Langenberg, Robert, Leggett, Charles, Mania, Georgiana, Moyse, Edward, Niermann, Joana, Osborn, Joseph D., Rousseau, David, Salzburger, Andreas, Schlag, Bastian, Tompkins, Lauren, Yamazaki, Tomohiro, Yeo, Beomki, Zhang, Jin

“…The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics…”
Get full text

The Tracking Machine Learning Challenge: Throughput Phase by Amrouche, Sabrina, Basara, Laurent, Calafiura, Paolo, Emeliyanov, Dmitry, Estrade, Victor, Farrell, Steven, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gorbunov, Sergey, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kiehn, Moritz, Kunze, Marcel, Moyse, Edward, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch

“…This paper reports on the second “Throughput” phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first “Accuracy”…”
Get full text

The derivation of Jacobian matrices for the propagation of track parameter uncertainties in the presence of magnetic fields and detector material by Yeo, Beomki, Gray, Heather, Salzburger, Andreas, Swatman, Stephen Nicholas

“…In high-energy physics experiments, the trajectories of charged particles are reconstructed using track reconstruction algorithms. Such algorithms need to both…”
Get full text

Combined track finding with GNN & CKF by Heinrich, Lukas, Huth, Benjamin, Salzburger, Andreas, Wettig, Tilo

“…The application of Graph Neural Networks (GNN) in track reconstruction is a promising approach to cope with the challenges arising at the High-Luminosity…”
Get full text

Machine learning for surface prediction in ACTS by Huth, Benjamin, Salzburger, Andreas, Wettig, Tilo

“…We present an ongoing R&D activity for machine-learning-assisted navigation through detectors to be used for track reconstruction. We investigate different…”
Get full text

Similarity hashing for charged particle tracking by Amrouche, Sabrina, Golling, Tobias, Kiehn, Moritz, Plant, Claudia, Salzburger, Andreas

“…The tracking of charged particles produced in high energy collisions is particularly challenging. The combinatorics approach currently used to track tens of…”
Get full text

Potentiality of automatic parameter tuning suite available in ACTS track reconstruction software framework by Garg, Rocky Bala, Allaire, Corentin, Salzburger, Andreas, Grasland, Hadrien, Tompkins, Lauren, Hofgard, Elyssa

“…Particle tracking is among the most sophisticated and complex part of the full event reconstruction chain. A number of reconstruction algorithms work in a…”
Get full text

Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays by Swatman, Stephen Nicholas, Varbanescu, Ana-Lucia, Pimentel, Andy D, Salzburger, Andreas, Krasznahorkay, Attila

“…The layout of multi-dimensional data can have a significant impact on the efficacy of hardware caches and, by extension, the performance of applications…”
Get full text

A Non-Linear Kalman Filter for track parameters estimation in High Energy Physics by Ai, Xiaocong, Gray, Heather M, Salzburger, Andreas, Styles, Nicholas

“…The Kalman Filter is a widely used approach for the linear estimation of dynamical systems and is frequently employed within nuclear and particle physics…”
Get full text

Auto-tuning capabilities of the ACTS track reconstruction suite by Allaire, Corentin, Garg, Rocky Bala, Grasland, Hadrien Benjamin, Hofgard, Elyssa Frances, Rousseau, David, Salahat, Rama, Salzburger, Andreas, Tompkins, Lauren Alexandra

“…The reconstruction of charged particle trajectories is a crucial challenge of particle physics experiments as it directly impacts particle reconstruction and…”
Get full text

Hashing and metric learning for charged particle tracking by Amrouche, Sabrina, Kiehn, Moritz, Golling, Tobias, Salzburger, Andreas

“…We propose a novel approach to charged particle tracking at high intensity particle colliders based on Approximate Nearest Neighbors search. With hundreds of…”
Get full text

The Tracking Machine Learning challenge : Accuracy phase by Amrouche, Sabrina, Basara, Laurent, Calafiura, Paolo, Estrade, Victor, Farrell, Steven, Ferreira, Diogo R, Finnie, Liam, Finnie, Nicole, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gorbunov, Sergey, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kiehn, Moritz, Moyse, Edward, Puget, Jean-Francois, Reina, Yuval, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Wind, Johan Sokrates, Xylouris, Trian, Yilmaz, Yetkin

“…In: Escalera S., Herbrich R. (eds) The NeurIPS 2018 Competition. The Springer Series on Challenges in Machine Learning. Springer, Cham This paper reports the…”
Get full text