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Muon beams of low emittance provide the basis for the intense, well characterised neutrino beams of a neutrino factory and for multi-TeV lepton-antilepton collisions at a muon collider. The international Muon Ionization Cooling Experiment…

Accelerator Physics · Physics 2018-05-21 Paolo Franchini

The use of machine learning techniques has significantly increased the physics discovery potential of neutrino telescopes. In the upcoming years, we are expecting upgrade of currently existing detectors and new telescopes with novel…

High Energy Physics - Experiment · Physics 2023-11-10 Miaochen Jin , Yushi Hu , Carlos A. Argüelles

For future learning systems, incremental learning is desirable because it allows for: efficient resource usage by eliminating the need to retrain from scratch at the arrival of new data; reduced memory usage by preventing or limiting the…

Machine Learning · Computer Science 2022-10-12 Marc Masana , Xialei Liu , Bartlomiej Twardowski , Mikel Menta , Andrew D. Bagdanov , Joost van de Weijer

Even if laboratory practice is essential for all scientific branches of knowledge, it is often neglected at High School, due to lack of time and/or resources. To establish a closer contact between school and experimental sciences, the…

These proceedings present the lectures given at the twenty-third specialized course organized by the CERN Accelerator School (CAS), the topic being 'Magnets'. The course was held in Bruges, Belgium, from 16 to 25 June 2009. This is the…

Accelerator Physics · Physics 2011-05-26 Daniel Brandt

In-context learning (ICL) offers a promising paradigm for universal medical image analysis, enabling models to perform diverse image processing tasks without retraining. However, current ICL models for medical imaging remain limited in two…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Jiesi Hu , Jianfeng Cao , Yanwu Yang , Chenfei Ye , Yixuan Zhang , Hanyang Peng , Ting Ma

With the increasing brightness of Light sources, including the Diffraction-Limited brightness upgrade of APS and the high-repetition-rate upgrade of LCLS, the proposed experiments therein are becoming increasingly complex. For instance,…

Instrumentation and Detectors · Physics 2025-06-02 Aashwin Mishra , Matt Seaberg , Ryan Roussel , Fred Poitevin , Jana Thayer , Daniel Ratner , Auralee Edelen , Apurva Mehta

We present IntPhys 2, a video benchmark designed to evaluate the intuitive physics understanding of deep learning models. Building on the original IntPhys benchmark, IntPhys 2 focuses on four core principles related to macroscopic objects:…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Florian Bordes , Quentin Garrido , Justine T Kao , Adina Williams , Michael Rabbat , Emmanuel Dupoux

The European Union funded project MICEV aims at improving the traceability of electrical and magnetic measurement at charging stations and to better assess the safety of this technology with respect to human exposure. The paper describes…

Physics education researchers have developed many evidence-based instructional strategies to enhance physics students' conceptual learning. These strategies have historically been tested using assessments such as the Force Concept Inventory…

The working memory capacity (WMC) of 400 Russian college students was measured using the Tarnow Unchunkable Test [2] which tests WMC alone without requiring explicit working memory operations. We found small-sized WMC differences by gender…

Neurons and Cognition · Quantitative Biology 2017-03-23 Regina Ershova , Eugen Tarnow

Deep learning models have shown a great effectiveness in recognition of findings in medical images. However, they cannot handle the ever-changing clinical environment, bringing newly annotated medical data from different sources. To exploit…

Computer Vision and Pattern Recognition · Computer Science 2022-07-01 Mohammad Mahdi Derakhshani , Ivona Najdenkoska , Tom van Sonsbeek , Xiantong Zhen , Dwarikanath Mahapatra , Marcel Worring , Cees G. M. Snoek

In the years 2015-2018, the Italian Ministry of Education, University and Research and the Italian Ministry of Defense proposed the joint initiative "Space for Your Future. The ISS: Innovatio, Scientia, Sapientia" in partnership with the…

Physics Education · Physics 2023-10-27 Enzo Bonacci

ICEBERG is a liquid argon time projection chamber at Fermilab for the purpose of testing detector components and software for the Deep Underground Neutrino Experiment (DUNE). The detector features a 1.15m x 1m anode plane following the…

Instrumentation and Detectors · Physics 2025-07-22 Alejandro Yankelevich

The recent observation of NGC 1068 by the IceCube Neutrino Observatory has opened a new window to neutrino physics with astrophysical baselines. In this Letter, we propose a new method to probe the nature of neutrino masses using these…

High Energy Astrophysical Phenomena · Physics 2024-04-08 Kiara Carloni , Ivan Martinez-Soler , Carlos A. Arguelles , K. S. Babu , P. S. Bhupal Dev

The International Linear Collider (ILC) is the next large project in accelerator based particle physics. It is complementary to the LHC in many aspects. Measurements from both machines together will finally shed light onto the known…

High Energy Physics - Experiment · Physics 2007-05-23 J. List

Academic challenges comprise effective means for (i) advancing the state of the art, (ii) putting in the spotlight of a scientific community specific topics and problems, as well as (iii) closing the gap for under represented communities in…

Machine Learning · Computer Science 2023-12-04 Hugo Jair Escalante , Aleksandra Kruchinina

In this study, the sensitivity of future lepton colliders to WIMP dark matter is evaluated assuming WIMP pair production accompanied by a photon from initial state radiation, through which the process can be identified. A full detector…

High Energy Physics - Experiment · Physics 2020-05-06 Moritz Habermehl , Mikael Berggren , Jenny List

In both high-energy physics and industry applications, a crowd-sourced approach to difficult problems is becoming increasingly common. These innovative approaches are ideal for the development of future facilities where the simulations can…

The Jiangmen Underground Neutrino Observatory (JUNO) is a multipurpose neutrino-oscillation experiment designed to determine the neutrino mass hierarchy and to precisely measure oscillation parameters by detecting reactor antineutrinos,…

Instrumentation and Detectors · Physics 2019-08-13 Miao He