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相关论文: Handling of Atomic Data

200 篇论文

We redetermine the abundances of all iron group nuclei in the Sun, based on neutral and singly-ionised lines of Sc, Ti, V, Mn, Fe, Co and Ni in the solar spectrum. We employ a realistic 3D hydrodynamic model solar atmosphere, corrections…

太阳与恒星天体物理 · 物理学 2014-12-17 Pat Scott , Martin Asplund , Nicolas Grevesse , Maria Bergemann , A. Jacques Sauval

We describe the latest release of AtomDB, version 2.0.2, a database of atomic data and a plasma modeling code with a focus on X-ray astronomy. This release includes several major updates to the fundamental atomic structure and process data…

高能天体物理现象 · 物理学 2015-06-05 A. R. Foster , L. Ji , R. K. Smith , N. S. Brickhouse

Present observational techniques provide stellar spectra with high resolution at a high signal-to-noise ratio over the complete wavelength range -- from the far infrared to the X-ray. NLTE effects are particularly important for hot stars,…

天体物理学 · 物理学 2007-05-23 Thomas Rauch , Jochen L. Deetjen , Stefan Dreizler , Klaus Werner

Accounting for nuclear quantum effects (NQEs) can significantly alter material properties at finite temperatures. Atomic modeling using the path-integral molecular dynamics (PIMD) method can fully account for such effects, but requires…

材料科学 · 物理学 2025-05-21 A. A. Solovykh , N. E. Rybin , I. S. Novikov , A. V. Shapeev

We present a detailed model of the discrete X-ray spectroscopic features expected from steady-state, low-density photoionized plasmas. We apply the Flexible Atomic Code (FAC) to calculate all of the necessary atomic data for the full range…

天体物理学 · 物理学 2007-05-23 A. Kinkhabwala , E. Behar , M. Sako , M. F. Gu , S. M. Kahn , F. B. S. Paerels

We have developed a public code, Optab, that outputs Rosseland, Planck, and two-temperature Planck mean gas opacity tables for radiation hydrodynamics simulations in astrophysics. The code is developed for modern high-performance computing,…

天体物理仪器与方法 · 物理学 2022-03-14 Shigenobu Hirose , Peter Hauschildt , Takashi Minoshima , Kengo Tomida , Takayoshi Sano

In close binary systems the atmosphere of one or both components can be significantly influenced by irradiation from the companion. Often the irradiated atmosphere is simulated with a single-temperature approximation for the entire…

太阳与恒星天体物理 · 物理学 2015-03-17 H. M. Guenther , A. C. Wawrzyn

The computation of radiative opacity or emissivity of hot dense matter is a challenging task. It requires accounting for an immense number of energy levels and lines across various excitation and ionization states. Whether in local…

原子物理 · 物理学 2025-09-03 Jean-Christophe Pain , Djamel Benredjem

Advances in machine learning have led to the development of foundation models for atomistic materials chemistry, enabling quantum-accurate descriptions of interatomic forces across chemically diverse compounds at reduced computational cost.…

材料科学 · 物理学 2025-07-11 Balázs Póta , Paramvir Ahlawat , Gábor Csányi , Michele Simoncelli

We present significant improvements of our approach in constructing detailed atmospheric models and synthetic spectra for hot luminous stars: 1. A sophisticated and consistent description of line blocking and blanketing. Our solution…

天体物理学 · 物理学 2009-10-31 A. W. A. Pauldrach , T. L. Hoffmann , M. Lennon

A publicly available database of opacities for molecules of astrophysical interest, ExoMolOP, has been compiled for over 80 species, based on the latest line list data from the ExoMol, HITEMP and MoLLIST databases. These data are generally…

We attempt to produce low temperature opacity data incorporating the effects of varied abundances of the elements carbon and nitrogen. For our temperature range of interest, molecules represent the dominant opacity source. Our dataset…

天体物理学 · 物理学 2009-11-13 Michael T. Lederer , Bernhard Aringer

Modern applications of atomic physics, including the determination of frequency standards, and the analysis of astrophysical spectra, require prediction of atomic properties with exquisite accuracy. For complex atomic systems,…

原子物理 · 物理学 2024-08-02 Pavlo Bilous , Charles Cheung , Marianna Safronova

Machine learning interatomic potentials (MLIPs) evaluate potential energy surfaces orders of magnitude faster while maintaining accuracy comparable to first-principles calculations, and universal MLIPs that cover most of the periodic table…

化学物理 · 物理学 2026-03-04 Naoya Kuroda , Kenji Ishihara , Tomoya Shiota , Wataru Mizukami

As the atomistic simulations of materials science move from traditional potentials to machine learning interatomic potential (MLIP), the field is entering the second phase focused on discovering and explaining new material phenomena. While…

材料科学 · 物理学 2025-01-27 Musanna Galib , Mewael Isiet , Mauricio Ponga

We use the PyNeb 1.1.16 Python package to evaluate the atomic datasets available for the spectral modeling of [Fe II] and [Fe III], which list level energies, A-values, and effective collision strengths. Most datasets are reconstructed from…

The precise analysis of properties of planetary nebulae is strongly dependent on good models for the stellar ionizing spectrum. Observations in the UV - X-ray wavelength range as well as NLTE model atmosphere calculations of spectra of…

天体物理学 · 物理学 2009-11-07 Thomas Rauch

This review highlights current (and future) hot topics in astrophysics where atomic or molecular input data are (or will be) essential, with special emphasis on topics relating to nucleosynthesis and cosmochemistry. We first discuss issues…

天体物理学 · 物理学 2009-11-10 A. Jorissen

In the framework of swift heavy ion - matter interaction, the thermal spike has proved its worth since nearly two decades. This paper deals with the necessary refinement of the computation due to the kind of materials involved i.e.…

材料科学 · 物理学 2015-06-03 Ch. Dufour , V. Khomenkov , G. Rizza , M. Toulemonde

Inaccurate estimates of the thermospheric density are a major source of error in low Earth orbit prediction. To improve orbit prediction, real-time density estimation is required. In this work, we develop a reduced-order dynamic model for…

空间物理 · 物理学 2020-04-22 David Gondelach , Richard Linares