Comparison of the HITRAN and GEISA spectral databases taking into account the restriction on publication of spectral data

Lavrentiev, N. A.; Makogon, M. M.; Фазлиев, А. З.

doi:10.1134/s1024856011050113

Cited by 8 publications

(1 citation statement)

References 126 publications

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“…Once this work is done, the XSAMS description of energy levels becomes straightforward. Standardisation also opens opportunities for the verification of the basic quantum mechanics selection rules, cross-comparisons between data from different authors or/and data between nodes as well as trust assessments of expert data [174]. Mistakes, typos and misinterpretations discovered in this process significantly improve the quality of the data products and reduce the amounts of errors introduced between data production and its extraction through the VAMDC portal.…”

Section: Node Data Standardisation and Quality Controlmentioning

confidence: 99%

A Decade with VAMDC: Results and Ambitions

Albert

Antony

et al. 2020

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This paper presents an overview of the current status of the Virtual Atomic and Molecular Data Centre (VAMDC) e-infrastructure, including the current status of the VAMDC-connected (or to be connected) databases, updates on the latest technological development within the infrastructure and a presentation of some application tools that make use of the VAMDC e-infrastructure. We analyse the past 10 years of VAMDC development and operation, and assess their impact both on the field of atomic and molecular (A&M) physics itself and on heterogeneous data management in international cooperation. The highly sophisticated VAMDC infrastructure and the related databases developed over this long term make them a perfect resource of sustainable data for future applications in many fields of research. However, we also discuss the current limitations that prevent VAMDC from becoming the main publishing platform and the main source of A&M data for user communities, and present possible solutions under investigation by the consortium. Several user application examples are presented, illustrating the benefits of VAMDC in current research applications, which often need the A&M data from more than one database. Finally, we present our vision for the future of VAMDC.

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Section: Node Data Standardisation and Quality Controlmentioning

confidence: 99%