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The role of data libraries in Monte Carlo simulation is discussed. A number of data libraries currently in preparation are reviewed; their data are critically examined with respect to the state-of-the-art in the respective fields. Extensive…

An overview of neutrino electromagnetic properties, which open a door to the new physics beyond the Standard Model, is given. The effects of neutrino electromagnetic interactions both in terrestrial experiments and in astrophysical…

High Energy Physics - Phenomenology · Physics 2016-04-20 Carlo Giunti , Konstantin A. Kouzakov , Yu-Feng Li , Alexey V. Lokhov , Alexander I. Studenikin , Shun Zhou

Continuing the discussion of the problem of electromagnetic properties of neutrinos, in this note we present additional information on this problem and focus on selected issues that have been developed recently, after the publication of our…

High Energy Physics - Phenomenology · Physics 2023-01-18 Alexander Studenikin

The status in electroweak precision physics is reviewed. I present a brief summary of the latest data, global fit results, a few implications for new physics, and an outlook.

High Energy Physics - Phenomenology · Physics 2010-04-08 Jens Erler

As suggested by the title, this paper is a survey of recent results and questions on the collection of computably enumerable sets under inclusion. This is not a broad survey but one focused on the author's and a few others' current…

Logic · Mathematics 2013-12-23 Peter Cholak

Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique data sets in the light of the continuously increasing…

A hydrodynamic-type, macroscopic theory was set up recently to simultaneously account for dissipation and dispersion of electromagnetic field, in nonstationary condensed systems of nonlinear constitutive relations~\cite{JL}. Since it was…

Statistical Mechanics · Physics 2009-10-31 Yimin Jiang , Mario Liu

Libraries of stellar spectra are fundamental tools in the study of stellar populations and in automatic determination of atmospheric parameters for large samples of observed stars. In the context of the present volume, here I give an…

Solar and Stellar Astrophysics · Physics 2009-06-08 Paula Coelho

Data collected by large-scale instruments, observatories, and sensor networks are key enablers of scientific discoveries in many disciplines. However, ensuring that these data can be accessed, integrated, and analyzed in a democratized and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-14 Yubo Qin , Ivan Rodero , Manish Parashar

The aim of this article is to present an overview of the existing biomedical data warehouses and to discuss the issues and future trends in this area. We illustrate this topic by presenting the design of an innovative, complex data…

Databases · Computer Science 2017-01-30 Jérôme Darmont , Emerson Olivier

We give a brief outline of possible neutrino electromagnetic characteristics, which can indicate new physics beyond the Standard Model. Special emphasis is put on recent theoretical development in searches for neutrino magnetic moments.

High Energy Physics - Phenomenology · Physics 2015-06-03 Konstantin A. Kouzakov , Alexander I. Studenikin , Mikhail B. Voloshin

Current extragalactic databases are reviewed, including object-oriented databases, astronomical catalogues and compilations, as well as image archives and object catalogues from large-scale surveys. One challenge of the future will be to…

Astrophysics · Physics 2007-05-23 H. Andernach

The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fusion and fundamental physics. These extreme physical systems…

With the expansion of data availability, machine learning (ML) has achieved remarkable breakthroughs in both academia and industry. However, imbalanced data distributions are prevalent in various types of raw data and severely hinder the…

Machine Learning · Computer Science 2025-09-15 Xinyi Gao , Dongting Xie , Yihang Zhang , Zhengren Wang , Chong Chen , Conghui He , Hongzhi Yin , Wentao Zhang

Over the past decade, astronomers have been using an increasingly larger number of web-based applications and archives to conduct their research. However, despite the early success in creating links across projects and data centers, the…

Instrumentation and Methods for Astrophysics · Physics 2015-03-17 Alberto Accomazzi , Michael J. Kurtz , Stephen S. Murray

This is a review of the status of efforts to model the large-scale Galactic magnetic field (GMF). Though important for a variety of astrophysical processes, the GMF remains poorly understood despite some interesting new tracers being used…

Astrophysics of Galaxies · Physics 2019-05-14 Tess R. Jaffe

Electromagnetics has an important role to play in solving the next generation of geoscience problems. These problems are multidisciplinary, complex, and require collaboration. This is especially true at the base scientific level where the…

Geophysics · Physics 2022-03-29 Douglas W. Oldenburg , Lindsey J. Heagy , Seogi Kang , Rowan Cockett

Driven by the recent rapid increase in the number of materials databases published (open and commercial), I discuss here some perspectives on the growing need for standardized, interoperable, open databases. The field of computational…

Materials Science · Physics 2019-11-14 François-Xavier Coudert

A short review on selected issues related to the problem of neutrino electromagnetic properties is given. After a flash look at the theoretical basis of neutrino electromagnetic form factors, constraints on neutrino magnetic moments and…

High Energy Physics - Phenomenology · Physics 2014-12-11 Alexander I. Studenikin

Machine learning has now become an integral part of research and innovation. The field of machine learning density functional theory has continuously expanded over the years while making several noticeable advances. We briefly discuss the…

Chemical Physics · Physics 2021-12-13 Bhupalee Kalita , Kieron Burke
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