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We point out that even the most intense laser beams available today can provide only a very small fraction of the beam energy required to reach the design luminosity for a future e+e- linear collider. This fact seems to have been overlooked…

Accelerator Physics · Physics 2007-05-23 Adrian C. Melissinos

The Future Circular Collider in the $\mathrm{e^{+}e^{-}}$ configuration offers the opportunity to significantly improve SM measurements with dedicated runs at the Z-pole, WW threshold, ZH (240 GeV), and $\mathrm{t}\bar{\mathrm{t}}$…

High Energy Physics - Experiment · Physics 2022-08-18 Eduardo Ploerer

In self-supervised contrastive learning, a widely-adopted objective function is InfoNCE, which uses the heuristic cosine similarity for the representation comparison, and is closely related to maximizing the Kullback-Leibler (KL)-based…

Machine Learning · Computer Science 2024-02-16 Yiwei Lu , Guojun Zhang , Sun Sun , Hongyu Guo , Yaoliang Yu

It is generally believed that robust training of extremely large networks is critical to their success in real-world applications. However, when taken to the extreme, methods that promote robustness can hurt the model's sensitivity to rare…

Machine Learning · Computer Science 2021-05-21 Seungyeon Kim , Daniel Glasner , Srikumar Ramalingam , Cho-Jui Hsieh , Kishore Papineni , Sanjiv Kumar

This review paper highlights the recent developments in supercapacitors by pointing out the significance of appropriate electrode and device designs. We reported ten extremely high-performance supercapacitors with specific capacitance…

Materials Science · Physics 2021-10-04 I. D. Yildirim , A. U. Ammar , M. Buldu-Akturk , F. Bakan , E. Erdem

With the increasing deployment of machine learning systems in practice, transparency and explainability have become serious issues. Contrastive explanations are considered to be useful and intuitive, in particular when it comes to…

Machine Learning · Computer Science 2021-01-05 André Artelt , Barbara Hammer

Concept Bottleneck Models (CBMs) offer interpretable alternatives to black-box predictors by introducing human-relatable concepts before the final output. However, existing CBMs struggle to verify whether predicted concepts correspond to…

Machine Learning · Computer Science 2026-05-15 Yingying Fang , Haijie Xu , Shuang Wu , Mariathasan Anish , Guang Yang

Advantages of the e-e- option at linear colliders for the study of supersymmetry are highlighted. The fermion number violating process $e^- e^- \to \selectron^- \selectron^-$ provides unique opportunities for studies of slepton masses and…

High Energy Physics - Phenomenology · Physics 2014-11-17 Jonathan L. Feng

Counterfactual explanations (CEs) are advocated as being ideally suited to providing algorithmic recourse for subjects affected by the predictions of machine learning models. While CEs can be beneficial to affected individuals, recent work…

Machine Learning · Computer Science 2024-02-06 Junqi Jiang , Francesco Leofante , Antonio Rago , Francesca Toni

Construction of the ERLC (twin LC) collider tangential to LHC or FCC will give opportunity to realize ep collisions at multi-TeV center-of-mass energies. Luminosity estimations show that values well exceeding 10^34 cm^-2s^-1 can be achieved…

High Energy Physics - Experiment · Physics 2021-07-13 B. Dagli , B. Ketenoglu , S. Sultansoy

In this paper, we present CLCC, a novel contrastive learning framework for color constancy. Contrastive learning has been applied for learning high-quality visual representations for image classification. One key aspect to yield useful…

Computer Vision and Pattern Recognition · Computer Science 2021-06-10 Yi-Chen Lo , Chia-Che Chang , Hsuan-Chao Chiu , Yu-Hao Huang , Chia-Ping Chen , Yu-Lin Chang , Kevin Jou

The Circular Electron-Positron Collider (CEPC), a next-generation high-luminosity collider, employs a crab waist scheme to achieve ultrahigh $5 \times 10^{34} \, \text{cm}^{-2}\text{s}^{-1}$ luminosity at Higgs mode. Owing to the extremely…

High Energy Physics - Experiment · Physics 2025-08-01 Yanpeng Li , Meng Li , Xingrui Wang , Weimin Song , Xiyuan Zhang , Congcong Wang , Suyu Xiao , Haoyu Shi , Dou Wang , Philip Bambade , Xin Shi

Supernovae (SNe) Type Ibn are rapidly evolving and bright (M$_\text{R,peak}$ $\sim-19$) transients interacting with He-rich circumstellar material (CSM). SN 2018bcc, detected by the ZTF shortly after explosion, provides the best constraints…

If supersymmetry (SUSY) is realized at the electroweak scale, its underlying structure and breaking mechanism may be explored with great precision by a future linear $e^+ e^-$ collider (LC) with a clean environment, tunable collision…

High Energy Physics - Phenomenology · Physics 2017-08-23 S. Y. Choi

Deep learning's success comes with growing energy demands, raising concerns about the long-term sustainability of the field. Spiking neural networks, inspired by biological neurons, offer a promising alternative with potential computational…

Neural and Evolutionary Computing · Computer Science 2025-03-05 Adalbert Fono , Manjot Singh , Ernesto Araya , Philipp C. Petersen , Holger Boche , Gitta Kutyniok

Extending the sensitivity to New Physics beyond the anticipated reach of the LHC is a prime aim of future colliders. This paper summarises the potential of an e+e- linear collider, at and beyond 1 TeV, using a realistic simulation of the…

High Energy Physics - Phenomenology · Physics 2009-09-25 M. Battaglia , S. De Curtis , D. Dominici , S. Riemann

Muon Colliders have unique technical and physics advantages and disadvantages when compared with both hadrons and electron machines. They should be regarded as complementary. Parameters are given of a 4 TeV high luminosity muon-muon…

Accelerator Physics · Physics 2008-11-26 R. B. Palmer , J. C. Gallardo

The concept of a laser-guided $e^+e^-$ collider in the high-energy regime is presented and its feasibility discussed. Ultra-intense laser pulses and strong static magnetic fields are employed to unite in one stage the electron and positron…

Atomic Physics · Physics 2016-08-16 Karen Z. Hatsagortsyan , Carsten Müller , Christoph H. Keitel

Beamstrahlung is a dominant effect in the beam dynamics of the high luminosity next-generation lepton collider FCC-ee. We characterize the beamstrahlung radiation for the beam parameters at the four working energies, from the Z-pole to the…

High Energy Physics - Experiment · Physics 2023-07-31 Manuela Boscolo , Andrea Ciarma

In recent years, explainability in machine learning has gained importance. In this context, counterfactual explanation (CE), which is an explanation method that uses examples, has attracted attention. However, it has been pointed out that…

Machine Learning · Computer Science 2025-02-04 Keita Kinjo
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