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Accurate prediction of hypersonic flow fields over a compression ramp is critical for aerodynamic design but remains challenging due to the scarcity of experimental measurements such as velocity. This study systematically develops a data…

Fluid Dynamics · Physics 2025-11-26 Yuan Jia , Guoqin Zhao , Hao Ma , Xin Li , Chi Zhang , Chih-Yung Wen

The limited angle Radon transform is notoriously difficult to invert due to its ill-posedness. In this work, we give a mathematical explanation that data-driven approaches can stably reconstruct more information compared to traditional…

Numerical Analysis · Mathematics 2025-08-08 Yiran Wang , Yimin Zhong

Data-driven emulators are increasingly being used to learn and emulate physics-based simulations, reducing computational expense and run time. Here, we present a structured way to improve the quality of these high-dimensional emulated…

Machine Learning · Computer Science 2025-04-25 Nawid Keshtmand , Elena Fillola , Jeffrey Nicholas Clark , Raul Santos-Rodriguez , Matthew Rigby

Emergency response applications for nuclear or radiological events can be significantly improved via deep feature learning due to the hidden complexity of the data and models involved. In this paper we present a novel methodology for rapid…

Machine Learning · Computer Science 2018-04-02 I. A. Klampanos , A. Davvetas , S. Andronopoulos , C. Pappas , A. Ikonomopoulos , V. Karkaletsis

A jet algorithm must specify how to (re-)combine different partons or towers into a single four-vector. Various recombination schemes have been used experimentally to examine the transverse energy profile of jets in hadron colliders.…

High Energy Physics - Phenomenology · Physics 2008-11-26 E. W. N. Glover , David A. Kosower

In this work, we establish a method for abstracting information from Computer Aided Engineering (CAE) into graphs. Such graph representations of CAE data can improve design guidelines and support recommendation systems by enabling the…

Artificial Intelligence · Computer Science 2023-06-19 Anahita Pakiman , Jochen Garcke , Axel Schumacher

This document describes the novel techniques used to simulate the common Snowmass 2013 Energy Frontier Standard Model backgrounds for future hadron colliders. The purpose of many Energy Frontier studies is to explore the reach of high…

Ground-truth depth, when combined with color data, helps improve object detection accuracy over baseline models that only use color. However, estimated depth does not always yield improvements. Many factors affect the performance of object…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Bedrettin Cetinkaya , Sinan Kalkan , Emre Akbas

To precisely measure jets over a large background such as pile up in high luminosity p+p collisions at LHC, a new generation of jet reconstruction algorithms is developed. These algorithms are also applicable to reconstruct jets in the…

Nuclear Experiment · Physics 2014-11-20 Sevil Salur

Track-assisted mass is a proxy for jet mass that only uses direction information from charged particles, allowing it to be measured at the Large Hadron Collider with very fine angular resolution. In this paper, we introduce a generalization…

High Energy Physics - Phenomenology · Physics 2019-05-01 Benjamin T. Elder , Jesse Thaler

Estimating how a treatment affects different individuals, known as heterogeneous treatment effect estimation, is an important problem in empirical sciences. In the last few years, there has been a considerable interest in adapting machine…

Machine Learning · Computer Science 2024-10-18 Christopher Tran , Keith Burghardt , Kristina Lerman , Elena Zheleva

Searching for new physics in large data sets needs a balance between two competing effects---signal identification vs background distortion. In this work, we perform a systematic study of both single variable and multivariate jet tagging…

High Energy Physics - Phenomenology · Physics 2020-02-25 Layne Bradshaw , Rashmish K. Mishra , Andrea Mitridate , Bryan Ostdiek

Mathematical models are used extensively for diverse tasks including analysis, optimization, and decision making. Frequently, those models are principled but imperfect representations of reality. This is either due to incomplete physical…

Machine Learning · Statistics 2017-11-15 Remi R. Lam , Lior Horesh , Haim Avron , Karen E. Willcox

When the underlying conditional density is known, conditional expectations can be computed analytically or numerically. When, however, such knowledge is not available and instead we are given a collection of training data, the goal of this…

Machine Learning · Statistics 2024-07-19 George V. Moustakides

Reinforcement learning suffers from limitations in real practices primarily due to the number of required interactions with virtual environments. It results in a challenging problem because we are implausible to obtain a local optimal…

Machine Learning · Computer Science 2024-10-28 Qizhen Wu , Kexin Liu , Lei Chen

Hard scattered partons are predicted to be well calibrated probes of the hot and dense medium produced in heavy ion collisions. Interactions of these partons with the medium w ill result in modifications of internal jet structure in Au+Au…

Nuclear Experiment · Physics 2019-08-13 Jan Kapitan

Extended Drude model formalism has been successfully utilized for analyzing optical spectra of strongly correlated electron systems including heavy-fermion systems and high-$T_c$ superconducting iron pnictides and cuprates. Furthermore,…

Superconductivity · Physics 2021-01-28 Jungseek Hwang

Material design at submicron scales would be profoundly affected if the formation of precipitation patterns could be easily controlled. It would allow the direct building of bulk structures, in contrast to traditional techniques which…

Statistical Mechanics · Physics 2009-01-05 Kirsten Martens , Ioana Bena , Michel Droz , Zoltan Racz

The light nuclei yields and yield ratios, as sensitive probes of the QCD phase transition, have been precisely measured at various collision energies.However, due to limited detector acceptance, the full $p_{\rm T}$ integral yield often…

High Energy Physics - Phenomenology · Physics 2025-11-24 Li'Ang Zhang , Hongcan Li , Junyi Han , Yaping Wang , Junlin Wu , Guannan Xie , Gao-Chan Yong

Radio interferometry is an observational technique used to study astrophysical phenomena. Data gathered by an interferometer requires substantial processing before astronomers can extract the scientific information from it. Data processing…

Instrumentation and Methods for Astrophysics · Physics 2024-12-24 Brian M. Kirk , Urvashi Rau , Ramyaa Ramyaa