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Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively tests track measurements ("hits") to identify those that form…

Computer Vision and Pattern Recognition · Computer Science 2022-04-29 Polykarpos Thomadakis , Angelos Angelopoulos , Gagik Gavalian , Nikos Chrisochoides

We have created a new image analysis pipeline to reprocess images taken by the Near Earth Asteroid Tracking survey and have applied it to ten nights of observations. This work is the first large-scale reprocessing of images from an asteroid…

Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involved in developing a benchmark and issues involved. We then…

Computer Vision and Pattern Recognition · Computer Science 2011-05-19 Afzal Godil , Zhouhui Lian , Helin Dutagaci , Rui Fang , Vanamali T. P. , Chun Pan Cheung

Interactive data visualization and exploration (DVE) applications are often network-bottlenecked due to bursty request patterns, large response sizes, and heterogeneous deployments over a range of networks and devices. This makes it…

Databases · Computer Science 2020-07-16 Haneen Mohammed , Ziyun Wei , Eugene Wu , Ravi Netravali

BSAURUS is a software package for the inclusive reconstruction of B-hadrons in Z-decay events taken by the DELPHI detector at LEP. The BSAURUS goal is to reconstruct B-decays, by making use of as many properties of b-jets as possible, with…

High Energy Physics - Experiment · Physics 2007-05-23 Z. Albrecht , T. Allmendinger , G. Barker , M. Feindt , C. Haag , M. Moch

Rapidly applying the effects of detector response to physics objects (e.g. electrons, muons, showers of particles) is essential in high energy physics. Currently available tools for the transformation from truth-level physics objects to…

Data Analysis, Statistics and Probability · Physics 2020-07-07 D. Benjamin , S. V. Chekanov , W. Hopkins , Y. Li , J. R. Love

This paper documents package for the particle level fast simulation. The package is designed to complete the AcerMC generator framework with the easy-to-use simulation and reconstruction algorithms. The package provides, starting from list…

High Energy Physics - Phenomenology · Physics 2007-05-23 E. Richter-Was

Corryvreckan is a versatile, highly configurable software with a modular structure designed to reconstruct and analyse test beam and laboratory data. It caters to the needs of the test beam community by providing a flexible offline event…

We present MMDetection, an object detection toolbox that contains a rich set of object detection and instance segmentation methods as well as related components and modules. The toolbox started from a codebase of MMDet team who won the…

The general trace reconstruction problem seeks to recover an original sequence from its noisy copies independently corrupted by deletions, insertions, and substitutions. This problem arises in applications such as DNA data storage, a…

Machine Learning · Computer Science 2025-07-18 Franziska Weindel , Michael Girsch , Reinhard Heckel

Event reconstruction is a central step in many particle physics experiments, turning detector observables into parameter estimates; for example estimating the energy of an interaction given the sensor readout of a detector. A corresponding…

High Energy Physics - Experiment · Physics 2023-01-11 Philipp Eller , Aaron Fienberg , Jan Weldert , Garrett Wendel , Sebastian Böser , D. F. Cowen

In model-driven engineering, the bidirectional transformation of models plays a crucial role in facilitating the use of editors that operate at different levels of abstraction. This is particularly important in the context of…

Software Engineering · Computer Science 2023-05-08 Hugo Lourenço , João Costa Seco , Carla Ferreira , Tiago Simões , Vasco Silva , Filipe Assunção , André Menezes

J-PET analysis framework is a flexible, lightweight, ROOT-based software package which provides the tools to develop reconstruction and calibration procedures for PET tomography. In this article we present the implementation of the full…

One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is determining the trajectory of charged particles during event reconstruction. Algorithms used at the LHC today rely on…

This paper presents the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use machine learning algorithms to reconstruct tracks, including their momentum and direction, with high…

Instrumentation and Detectors · Physics 2024-04-24 Gagik Gavalian

The expected performance of track reconstruction with LHC events using the CMS silicon tracker is presented. Track finding and fitting is accomplished with Kalman Filter techniques that achieve efficiencies above 99% on single muons with…

Instrumentation and Detectors · Physics 2010-03-04 Paolo Azzurri

The performance of jet finding using only charged tracks in CMS has been investigated. Different jet algorithms have been applied to QCD di-jet events, to hadronic tt multi-jet events and on Z+jets events. Results using jets made with…

High Energy Physics - Experiment · Physics 2014-11-18 Paolo Azzurri

TauREx 3 is the next generation of the TauREx exoplanet atmospheric retrieval framework for Windows, Mac, and Linux. It is a complete rewrite with a full Python stack that makes it easy-to-use, high-performance, dynamic, and flexible. The…

Instrumentation and Methods for Astrophysics · Physics 2021-08-19 Ahmed F. Al-Refaie , Quentin Changeat , Ingo P. Waldmann , Giovanna Tinetti

This extended paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that leverages hierarchical information in event logs, typically…

Software Engineering · Computer Science 2017-10-26 Maikel Leemans , Wil M. P. van der Aalst , Mark G. J. van den Brand