Article
Engineering, Electrical & Electronic
Marius Koeppel
Summary: The Mu3e experiment at PSI aims to search for charged lepton flavor violating decay and achieve ultimate sensitivity. The ongoing construction of the experiment's first phase will reach a high sensitivity in the branching ratio by observing a large number of mu decays. The integration of subdetectors into the DAQ system, including time aligning and data flow, is discussed in this article, along with the synchronization results of different detectors.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2023)
Article
Mathematics
Ali Oksasoglu, Qiudong Wang
Summary: This paper presents an explicit integral formula for the high order Melnikov function D-1(t(0)) for periodically perturbed pendulum equations, and applies it to a specific pendulum equation to demonstrate an example of high frequency perturbation where the classic Melnikov function D-0(t(0)) fails to dominate the higher order term epsilon D-1(t(0)).
JOURNAL OF DIFFERENTIAL EQUATIONS
(2022)
Article
Physics, Multidisciplinary
Claudia Merger, Alexandre Rene, Kirsten Fischer, Peter Bouss, Sandra Nestler, David Dahmen, Carsten Honerkamp, Moritz Helias
Summary: This study explores a method of learning microscopic action by observing the entire system. By utilizing invertible neural networks to learn the observed data distribution and nonlinear transformations, the network hierarchically constructs interactions. The approach is tested on simulated datasets and an image dataset, demonstrating its ability to reproduce various distributions and find effective theories to approximate data statistics.
Article
Engineering, Electrical & Electronic
Vladimir Frolov, Stefan Huber, Igor Konorov, Antonin Kveton, Dmytro Levit, Josef Novy, Dominik Steffen, Benjamin Moritz Veit, Miroslav Virius, Martin Zemko, Stephan Paul
Summary: The new data acquisition system for the COMPASS++/AMBER experiment is designed for a maximum throughput of 5 GB/s, utilizing intelligent FPGA-based framework for data filtering and high-level trigger processing. The system uses a hardware timeslice builder to combine data streams from different detectors, improving data processing efficiency and achieving scalability in data selection and assembly.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Zhenmin Li, Xueliang Zhang, Weihao Chen, Bangchun Wen
Summary: This paper presents a dynamic model with two vibrator-driven pendulums. The synchronous states of the pendulums are determined by the phase differences of the vibrators according to the synchronization criteria deduced. When the phase differences of arbitrary-two vibrators are stabilized around zero, the two pendulums achieve anti-phase synchronization. If the phase differences of the two vibrators mounted on the same pendulum are zero while those on different pendulums are p, the pendulums will arrive at the in-phase synchronous state. Moreover, the system exhibits a relatively good isolative effect under the anti-phase synchronous motion of the two pendulums.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Multidisciplinary Sciences
Fatima Velasquez-Rojas, Jesus E. Fajardo, Daniela Zacharias, Maria Fabiana Laguna
Summary: The COVID-19 pandemic has had a significant impact on higher education, particularly in virtual learning environments. The study found that the virtual context led to a decrease in students' motivation to learn and revealed changes in the network of peer interactions. Interaction with teachers and student resources also played an important role in the knowledge acquisition process.
Article
Engineering, Electrical & Electronic
Heiko Augustin, Niklaus Berger, Alessandro Bravar, Konrad Briggl, Huangshan Chen, Simon Corrodi, Sebastian Dittmeier, Ben Gayther, Lukas Gerritzen, Dirk Gottschalk, Ueli Hartmann, Gavin Hesketh, Marius Koeppel, Samer Kilani, Alexandr Kozlinskiy, Frank Meier Aeschbacher, Martin Mueller, Yonathan Munwes, Ann-Kathrin Perrevoort, Stefan Ritt, Andre Schoening, Hans-Christian Schultz-Coulon, Wei Shen, Luigi Vigani, Dorothea vom Bruch, Frederik Wauters, Dirk Wiedner, Tiancheng Zhong
Summary: The Mu3e experiment aims to discover or exclude the lepton flavor violating decay mu(+) -> e(+)e(-)e(+) with a sensitivity of one in 10(16) muon decays. The first phase of the experiment is being constructed at PSI in Switzerland, with a detector consisting of HV-MAPS sensors and scintillating tiles and fibers. Data processing is done through FPGAs and fast optical links, with a reduction in data volume achieved through GPU algorithms during storage and offline analysis.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2021)
Article
Engineering, Mechanical
Vyacheslav O. Munyaev, Dmitry S. Khorkin, Maxim I. Bolotov, Lev A. Smirnov, Grigory V. Osipov
Summary: This paper investigates the rotational dynamics of ensembles of coupled nonlinear oscillators, focusing on the space-time structures in locally coupled identical pendulum-type elements chains. Various synchronous and asynchronous rotational modes are identified, with an analysis of transitions between them. Coexistence of stable synchronous modes at certain coupling parameter values and the relationship between chain length and stable out-of-phase modes are also discussed. The analytical results are confirmed through numerical simulations.
NONLINEAR DYNAMICS
(2021)
Article
Astronomy & Astrophysics
A. Elpe, E. Akyumuk, T. M. Aliev, L. Selbuz, I. Turan
Summary: In this study, Abelian dark sector scenarios embedded into the two-Higgs doublet model are examined using the COHERENT Collaboration's coherent elastic neutrino-nucleus scattering experiment. The experiment was first conducted in 2017 and has since been improved, with recently released data for the CsI target in 2022. The experimental data for CsI and liquid argon targets are analyzed in both single and multibin bases to constrain the multidimensional parameter space, including the dark gauge coupling, kinetic mixing parameter, and dark photon mass.
Article
Biology
Koji Yonekura, Saori Maki-Yonekura, Hisashi Naitow, Tasuku Hamaguchi, Kiyofumi Takaba
Summary: This study introduces a machine learning-based real-time object locator yoneoLocr, which can rapidly and accurately locate carbon holes and crystals, facilitating automated single particle analysis or cryo-electron crystallography data collection.
COMMUNICATIONS BIOLOGY
(2021)
Article
Computer Science, Software Engineering
Sangeetha Grama Srinivasan, Qisi Wang, Junior Rojas, Gergely Klar, Ladislav Kavan, Eftychios Sifakis
Summary: The study explores a physics-based approach to modeling active objects, learning a low-dimensional control space from a training set to replicate and generalize new poses without assuming muscle structure, utilizing a differentiable physics layer and decoder-type neural network. Training paradigm and scalability enhancements facilitate effective training with high-resolution volumetric models.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Review
Chemistry, Analytical
Teresa M. C. Pereira, Raquel C. C. Conceicao, Vitor Sencadas, Raquel Sebastiao
Summary: In recent decades, researchers have explored the potential of using Electrocardiogram (ECG) as a unique and hidden biometric trait. However, there is a lack of consensus on the most suitable methodology. This paper presents a systematic review of data acquisition methods to understand the impact of various variables on ECG-based biometric identification. The review identified the use of off-the-person acquisitions, one-lead setup, and short-term acquisitions as preferable solutions, resulting in a user-friendly biometric system.
Book Review
Multidisciplinary Sciences
Sharon Weinberger
Summary: Data restrictions have had a significant impact on nuclear discovery, energy research, and beyond.
Article
Biochemistry & Molecular Biology
Tristan Bepler, Andrew J. Borst, Jonathan Bouvette, Giuseppe Cannone, Songye Chen, Anchi Cheng, Ao Cheng, Quanfu Fan, Fanis Grollios, Harshit Gupt, Meghna Gupta, Theo Humphreys, Paul T. Kim, Huihui Kuang, Yilai Li, Alex J. Noble, Ali Punjani, William J. Rice, Carlos Oscar S. Sorzano, Scott M. Stagg, Joshua Strauss, Lingbo Yu, Bridget Carragher, Clinton S. Potter
Summary: This report provides an overview of the discussions, presentations, and consensus thinking from the Workshop on Smart Data Collection for CryoEM. The workshop aimed to address next generation data collection strategies that integrate machine learning and real-time processing into the workflow to reduce or eliminate the need for operator intervention.
JOURNAL OF STRUCTURAL BIOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Achuta Kadambi, Celso de Melo, Cho-Jui Hsieh, Mani Srivastava, Stefano Soatto
Summary: Computer vision techniques, often data-driven, can benefit from including physical models as constraints in the pipeline. This Perspective provides an overview of specific approaches for integrating physics into artificial intelligence pipelines, referred to as physics-based machine learning.
NATURE MACHINE INTELLIGENCE
(2023)
