English
Related papers

Related papers: The SPARC Primary Reference Discharge defined by c…

200 papers

Diffusion models have demonstrated strong generative capabilities across scientific domains, but often produce outputs that violate physical laws. We propose a new perspective by framing physics-informed generation as a sparse reward…

Machine Learning · Computer Science 2025-09-26 Mingze Yuan , Pengfei Jin , Na Li , Quanzheng Li

Stable diffusion networks have emerged as a groundbreaking development for their ability to produce realistic and detailed visual content. This characteristic renders them ideal decoders, capable of producing high-quality and aesthetically…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Kai Liu , Kang You , Pan Gao

In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may consider using a super-resolution (SR) method to recover aliased frequencies, prior…

Computer Vision and Pattern Recognition · Computer Science 2014-10-30 Fred Maurice Ngolè Mboula , Jean-Luc Starck , Samuel Ronayette , Koryo Okumura , Jérôme Amiaux

This work characterizes the core transport physics of SPARC early-campaign plasmas using the PORTALS-CGYRO framework. Empirical modeling of SPARC plasmas with L-mode confinement indicates an ample window of breakeven (Q>1) without the need…

Powder diffraction is a primary structural characterization tool in materials science, yet automated phase identification remains a major bottleneck for autonomous discovery. Existing workflows rely heavily on search--match heuristics and…

Materials Science · Physics 2026-05-13 Lalit Yadav , Yongqiang Cheng , Mathieu Doucet

Physical Reservoir Computing (PRC) is a recently developed variant of Neuromorphic Computing, where a pertinent physical system effectively projects information encoded in the input signal into a higher-dimensional space. While various…

Diffusion models have achieved remarkable success in conditional image generation, yet their outputs often remain misaligned with human preferences. To address this, recent work has applied Direct Preference Optimization (DPO) to diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Shaomeng Wang , He Wang , Xiaolu Wei , Longquan Dai , Jinhui Tang

The analysis of high-energy air shower data allows one to study the proton-air cross section at energies beyond the reach of fixed target and collider experiments. The mean depth of the first interaction point and its fluctuations are a…

High Energy Astrophysical Phenomena · Physics 2009-07-22 Ralf Ulrich , Johannes Blümer , Ralph Engel , Fabian Schüssler , Michael Unger

The Barrel DIRC counter will serve as the primary particle identification detector in the PANDA experiment, enabling high-precision hadron physics studies through antiproton-proton annihilations across a momentum range of 1.5 GeV/c to 15…

Photoreflectance (PR) is a convenient characterization tool able to reveal optoelectronic properties of semiconductor materials and structures. It is a simple non-destructive and contactless technique which can be used in air at room…

The recent progress in high-temperature superconductor technologies has led to the design and construction of SPARC, a compact tokamak device expected to reach plasma breakeven with up to $25$MW of external ion cyclotron resonant heating…

This work describes a new 1D hybrid approach for modeling atmospheric pressure discharges featuring complex chemistry. In this approach electrons are described fully kinetically using Particle-In-Cell/Monte-Carlo (PIC/MCC) scheme, whereas…

Plasma Physics · Physics 2016-01-20 Denis Eremin , Torben Hemke , Thomas Mussenbrock

In this article, we demonstrate the novel use of Proper Generalized Decomposition (PGD) to separate the axial and, optionally, polar dimensions of neutron transport. Doing so, the resulting Reduced-Order Models (ROMs) can exploit the fact…

Numerical Analysis · Mathematics 2024-12-23 Kurt A. Dominesey , Wei Ji

We present extended point spread function (PSF) models for the Hyper Suprime-Cam Subaru Strategic Program Public Data Release 3 (HSC-SSP PDR3) in all $\textit{g,r,i,Z}$ and $\textit{Y}$-bands. Due to its 8.2m primary mirror and long…

Astrophysics of Galaxies · Physics 2024-05-17 L. P. Garate-Nuñez , A. S. G. Robotham , S. Bellstedt , L. J. M. Davies , C. Martínez-Lombilla

A delayed feedback reservoir (DFR) is a reservoir computing system well-suited for hardware implementations. However, achieving high accuracy in DFRs depends heavily on selecting appropriate hyperparameters. Conventionally, due to the…

Hardware Architecture · Computer Science 2025-04-18 Sosei Ikeda , Hiromitsu Awano , Takashi Sato

Diffusion probabilistic models have recently achieved remarkable success in generating high quality image and video data. In this work, we build on this class of generative models and introduce a method for lossy compression of high…

Computer Vision and Pattern Recognition · Computer Science 2023-03-30 Noor Fathima Ghouse , Jens Petersen , Auke Wiggers , Tianlin Xu , Guillaume Sautière

Surface Plasmon Resonance (SPR) offers a powerful tool for label-free and non-invasive characterization of biomolecular interactions. To date, several experimental configurations, based on two fundamental physical phenomena, e.g.,…

Optics · Physics 2022-11-15 Nishant Shukla , Pawan Chetri , Ratan Boruah , Ankur Gogoi , Gazi A Ahmed

A comparative theoretical study of the damages produced by protons and pions, in the energy range 50 MeV - 50 GeV, in diamond, is presented. The concentration of primary defects (CPD) induced by hadron irradiation is used to describe…

High Energy Physics - Phenomenology · Physics 2011-07-19 I. Lazanu , S. Lazanu

As the second component of SPARC (Simulation Package for Ab-initio Real-space Calculations), we present an accurate and efficient finite-difference formulation and parallel implementation of Density Functional Theory (DFT) for extended…

Computational Physics · Physics 2017-05-24 Swarnava Ghosh , Phanish Suryanarayana

Many particle physics datasets like those generated at colliders are described by continuous coordinates (in contrast to grid points like in an image), respect a number of symmetries (like permutation invariance), and have a stochastic…

High Energy Physics - Phenomenology · Physics 2023-11-03 Vinicius Mikuni , Benjamin Nachman , Mariel Pettee