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相关论文: Access to Stellar Population Models in the Virtual…

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A new model for evolving Evolutionary Algorithms (EAs) is proposed in this paper. The model is based on the Multi Expression Programming (MEP) technique. Each MEP chromosome encodes an evolutionary pattern that is repeatedly used for…

神经与进化计算 · 计算机科学 2021-10-13 Mihai Oltean

H-rich, DA-type white dwarfs are particularly suited as primary standard stars for flux calibration. State-of-the-art NLTE models consider opacities of species up to trans-iron elements and provide reliable synthetic stellar-atmosphere…

太阳与恒星天体物理 · 物理学 2015-06-17 T. Rauch , R. Bohlin , J. W. Kruk , K. Werner

ASPID stands for the "Archive of Spectral, Photometric, and Interferometric Data". The world largest collection of raw 3D spectroscopic observations of galactic and extragalactic sources is provided. ASPID-SR is a prototype of an archive of…

Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A typical way to achieve good generalization is to learn a…

神经与进化计算 · 计算机科学 2021-02-24 Ke Tang , Shengcai Liu , Peng Yang , Xin Yao

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…

太阳与恒星天体物理 · 物理学 2009-06-08 Paula Coelho

Synthetic spectra are needed to determine fundamental stellar and wind parameters of all types of stars. They are also used for the construction of theoretical spectral libraries helpful for stellar population synthesis. Therefore, a…

太阳与恒星天体物理 · 物理学 2015-05-18 A. Palacios , M. Gebran , E. Josselin , F. Martins , B. Plez , M. Belmas , A. Lebre

In this paper we investigate the power of spectral synthesis as a mean to estimate physical properties of galaxies. Spectral synthesis is nothing more than the decomposition of an observed spectrum in terms of a superposition of a base of…

天体物理学 · 物理学 2010-04-06 R. Cid Fernandes , A. Mateus , L. Sodre , G. Stasinska , J. M. Gomes

As the amount of data on the World Wide Web continues to grow exponentially, access to semantically structured information remains limited. The Semantic Web has emerged as a solution to enhance the machine-readability of data, making it…

数字图书馆 · 计算机科学 2023-06-21 Muhammad Zohaib

We introduce a general range of science drivers for using the Virtual Observatory (VO) and identify some common aspects to these as well as the advantages of VO data access. We then illustrate the use of existing VO tools to tackle multi…

天体物理仪器与方法 · 物理学 2009-06-09 Jonathan A. Tedds

The Pulsar Virtual Observatory will provide a means for scientists in all fields to access and analyze the large data sets stored in pulsar surveys without specific knowledge about the data or the processing mechanisms. This is achieved by…

天体物理学 · 物理学 2007-05-23 M. Keith , B. Harbulot , A. Lyne , J. Brooke

We introduce VErsatile SPectral Analysis (VESPA): a new method which aims to recover robust star formation and metallicity histories from galactic spectra. VESPA uses the full spectral range to construct a galaxy history from synthetic…

天体物理学 · 物理学 2009-11-13 Rita Tojeiro , Alan F. Heavens , Raul Jimenez , Ben Panter

We introduce HexaLab: a WebGL application for real time visualization, exploration and assessment of hexahedral meshes. HexaLab can be used by simply opening www.hexalab.net. Our visualization tool targets both users and scholars.…

图形学 · 计算机科学 2019-03-18 Matteo Bracci , Marco Tarini , Nico Pietroni , Marco Livesu , Paolo Cignoni

We substantially update the capabilities of the open-source software instrument Modules for Experiments in Stellar Astrophysics (MESA). MESA can now simultaneously evolve an interacting pair of differentially rotating stars undergoing…

Stellar population synthesis (SPS) models are invaluable to study star clusters and galaxies. They provide means to extract stellar masses, stellar ages, star formation histories, chemical enrichment and dust content of galaxies from their…

星系天体物理 · 物理学 2020-01-08 Paula R. T. Coelho , Gustavo Bruzual , Stephane Charlot

The W. M. Keck Observatory Archive (KOA) has released the Observers Data Access Portal (ODAP), a web-application that delivers astronomical data from the W. M. Keck Observatory to the scheduled program's principal investigator and their…

天体物理仪器与方法 · 物理学 2024-09-17 T. Coda , T. Oluyide , M. S. Lynn , J. A. Mader , G. Bruce Berriman , M. Brodheim , C. R. Gelino , J. Good

The Metaverse through VR headsets is a rapidly growing concept, but the high cost of entry currently limits access for many users. This project aims to provide an accessible entry point to the immersive Metaverse experience by leveraging…

人机交互 · 计算机科学 2023-04-05 Joseph Chang

We derive detailed theoretical models for 1074 nearby stars from the SPOCS (Spectroscopic Properties of Cool Stars) Catalog. The California and Carnegie Planet Search has obtained high-quality echelle spectra of over 1000 nearby stars taken…

天体物理学 · 物理学 2009-11-11 Genya Takeda , Eric B. Ford , Alison Sills , Frederic A. Rasio , Debra A. Fischer , Jeff A. Valenti

We present a new-generation tool to model and interpret spectral energy distributions (SEDs) of galaxies, which incorporates in a consistent way the production of radiation and its transfer through the interstellar and intergalactic media.…

星系天体物理 · 物理学 2016-10-06 Jacopo Chevallard , Stéphane Charlot

The Hubble Tarantula Treasury Project (HTTP) is an ongoing panchromatic imaging survey of stellar populations in the Tarantula Nebula in the Large Magellanic Cloud that reaches into the sub-solar mass regime (< 0.5 Mo). HTTP utilizes the…

With the growing number and increasing availability of shared-use instruments and observatories, observational data is becoming an essential part of application workflows and contributor to scientific discoveries in a range of disciplines.…

分布式、并行与集群计算 · 计算机科学 2021-01-01 Yubo Qin , Ivan Rodero , Anthony Simonet , Charles Meertens , Daniel Reiner , James Riley , Manish Parashar