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We study the problem of translating an image-based, step-by-step assembly manual created by human designers into machine-interpretable instructions. We formulate this problem as a sequential prediction task: at each step, our model reads…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Ruocheng Wang , Yunzhi Zhang , Jiayuan Mao , Chin-Yi Cheng , Jiajun Wu

The fortran version of the AcerDET package has been published in [1], and used in the multiple publications on the predictions for physics at LHC. The package provides, starting from list of particles in the event, the list of reconstructed…

High Energy Physics - Phenomenology · Physics 2015-07-06 Patryk Mikos , Elzbieta Richter-Was

The task of reconstructing particles from low-level detector response data to predict the set of final state particles in collision events represents a set-to-set prediction task requiring the use of multiple features and their correlations…

An efficient and precise reconstruction of charged-particle tracks is crucial for the overall performance of the CMS experiment. During Run 2 of LHC, significant upgrades were made to the track reconstruction algorithms in order to…

Instrumentation and Detectors · Physics 2020-12-15 Walaa Elmetenawee

Machine learning methods are being introduced at all stages of data reconstruction and analysis in various high-energy physics experiments. We present the development and application of convolutional neural networks with modified…

Instrumentation and Detectors · Physics 2025-04-25 Kalina Dimitrova , Venelin Kozhuharov , Peicho Petkov

Considering the aging effects of existing Inner Drift Chamber (IDC) of BES\uppercase\expandafter{\romannumeral3}, a GEM based inner tracker is proposed to be designed and constructed as an upgrade candidate for IDC. This paper introduces a…

A promising avenue for improving the effectiveness of behavioral-based malware detectors would be to combine fast traditional machine learning detectors with high-accuracy, but time-consuming deep learning models. The main idea would be to…

Cryptography and Security · Computer Science 2020-06-16 Ruimin Sun , Marcus Botacin , Nikolaos Sapountzis , Xiaoyong Yuan , Matt Bishop , Donald E Porter , Xiaolin Li , Andre Gregio , Daniela Oliveira

While the radio detection of cosmic rays has advanced to a standard method in astroparticle physics, the radio detection of neutrinos is just about to start its full bloom. The successes of pilot-arrays have to be accompanied by the…

A new release of the parametric detector Monte Carlo program \verb+SIMDET+ (version 4.01) is now available. We describe the principles of operation and the usage of this program to simulate the response of a detector for the TESLA linear…

High Energy Physics - Experiment · Physics 2007-05-23 M. Pohl , H. J. Schreiber

One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fitting charged-particle tracks during event reconstruction.…

Event cameras have attracted increasing attention in recent years due to their advantages in high dynamic range, high temporal resolution, low power consumption, and low latency. Some researchers have begun exploring pre-training directly…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Wentao Wu , Xiao Wang , Chenglong Li , Bo Jiang , Jin Tang , Bin Luo , Qi Liu

In the High-Luminosity Large Hadron Collider (HL-LHC), one of the most challenging computational problems is expected to be finding and fitting charged-particle tracks during event reconstruction. The methods currently in use at the LHC are…

This report summarizes the findings of the AutoAppendix project, conducted during the UCSC OSPO Summer of Reproducibility 2024. The project involved a evaluation of reproducibility artifacts submitted to SC24, focusing on their…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-02 Klaus Kraßnitzer

One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which consists in looking for all tracks that elementary particles…

Machine Learning · Computer Science 2019-02-20 Dmitriy Baranov , Gennady Ososkov , Pavel Goncharov , Andrei Tsytrinov

We present Chameleon, a novel hybrid (mixed-protocol) framework for secure function evaluation (SFE) which enables two parties to jointly compute a function without disclosing their private inputs. Chameleon combines the best aspects of…

Cryptography and Security · Computer Science 2018-01-11 M. Sadegh Riazi , Christian Weinert , Oleksandr Tkachenko , Ebrahim M. Songhori , Thomas Schneider , Farinaz Koushanfar

One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. Algorithms used at the LHC today rely on Kalman…

The powerful muon and tracker systems of the CMS detector together with dedicated reconstruction software allow precise and efficient measurement of muon tracks originating from proton-proton collisions. The standard muon reconstruction…

Instrumentation and Detectors · Physics 2008-10-22 Norbert Neumeister , Chang Liu

The CDF detector simulation framework is integrated into an AC++ application used to process events in the CDF experiment. The simulation framework is based on the GEANT3 package. It holds the detector element geometry descriptions, allows…

Computational Physics · Physics 2014-11-18 E. Gerchtein , M. Paulini

In this tool demonstration, we give an overview of the Chameleon type debugger. The type debugger's primary use is to identify locations within a source program which are involved in a type error. By further examining these (potentially)…

Programming Languages · Computer Science 2007-05-23 Peter J. Stuckey , Martin Sulzmann , Jeremy Wazny

3D reconstruction from a single RGB image is a challenging problem in computer vision. Previous methods are usually solely data-driven, which lead to inaccurate 3D shape recovery and limited generalization capability. In this work, we focus…

Computer Vision and Pattern Recognition · Computer Science 2020-06-18 Yichao Zhou , Shichen Liu , Yi Ma