Abstract

Vienna Atomic Line Database (VALD) contains data on atomic and molecular energy levels and parameters of spectral lines required for stellar spectra analysis. Hundreds of millions of lines for fine spectral synthesis and for opacity calculations are collected in the present version of VALD (VALD3). Critical evaluation of the data and the diversity of extraction tools support the high popularity of VALD among users. The data model of VALD3 incorporates obligatory links to the bibliography making our database more attractive as a publishing platform for data producers. The VALD data quality and completeness are constantly improving allowing better reproduction of stellar spectra. To illustrate continuous evolution of the data content we present a comparative analysis of the recent experimental and theoretical atomic data for Fe-group elements, which will be included in the next VALD release. This release will also include a possibility for extracting the line data with full isotopic and hyperfine structures.

Highlights

  • IntroductionThe most prominent and sensitive spectral features are sensitive to stellar parameter and we need large amount of reliable data and the means for selecting relevant information for our targets

  • Spectroscopy is one of the main tools for detecting various species and probing physical conditions in the Universe

  • The Vienna Atomic Line Database (VALD) users appreciate the variety of data extraction tools

Read more

Summary

Introduction

The most prominent and sensitive spectral features are sensitive to stellar parameter and we need large amount of reliable data and the means for selecting relevant information for our targets This huge amount of data is collected in specialised databases (DB) of atomic and molecular line parameters. VALD team critically analyses every new atomic and molecular parameter dataset ("line list" in VALD terminology) that we receive from data producers by comparing spectral fits to high-precision spectra of reference stars (the Sun, Sirius, Procyon, etc). At this point we establish the rank for each data type in the new line list that is included in VALD. The requested data is returned to the user by e-mail or ftp

Data extraction
Iron analysis
Hyperfine splitting in VALD
Findings
Discussion
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.