Carlo Maria Zwölf

Dr. Carlo Maria Zwölf

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 October 2020 in Atoms
Verified
Journal Article
Open access
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DADamien Albert
Damien Albert
BABOBBY ANTONY
BOBBY ANTONY
YBYaye Awa Ba
Yaye Awa Ba
YBYuri L. Babikov
Yuri L. Babikov
PBPhilippe Bollard
Philippe Bollard
CZCarlo Maria Zwölf
Carlo Maria Zwölf
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.

5 March 2024 in Astronomy & Astrophysics
Verified
Journal Article
Open access
Marie-Lise DubernetMarie-Lise Dubernet
Marie-Lise Dubernet
CBC. Boursier
C. Boursier
ODO. Denis-Alpizar
O. Denis-Alpizar
YBY. A. Ba
Y. A. Ba
NMN. Moreau
N. Moreau
MŻM. Żóltowski
M. Żóltowski
Context. The global context of making numerous data produced by researchers available requires collecting and organising the data, assigning meaningful metadata, and presenting the data in a meaningful and homogeneous way. The BASECOL database, which collects inelastic rate coefficients for application to the interstellar medium and to circumstellar and cometary atmospheres, meets those requirements. Aims. We aim to present the scientific content of the BASECOL2023 edition. Methods. While the previous versions relied on finding rate coefficients in the literature, the current version is populated with published results sent by the producers of data. The paper presents the database, the type of data that can be found, the type of metadata that are used, and the Virtual Atomic and Molecular Data Centre (VAMDC) standards that are used for the metadata. Finally, we present the different datasets species by species. Results. As the BASECOL database, interconnected with the VAMDC e-infrastructure, uses the VAMDC standards, the collisional data can be extracted with tools using VAMDC standards and can be associated with spectroscopic data extracted from other VAMDC connected databases such as the Cologne database for molecular spectroscopy (CDMS), the jet propulsion laboratory molecular spectroscopy database (JPL), and the high-resolution transmission molecular absorption database (HITRAN).

3 October 2018 in Galaxies
Verified
Journal Article
Open access
PDF file
NMNicolas Moreau
Nicolas Moreau
CZCarlo Maria Zwölf
Carlo Maria Zwölf
YBYaye-Awa Ba
Yaye-Awa Ba
Cyril RichardCyril Richard
Cyril Richard
VBVincent Boudon
Vincent Boudon
Marie-Lise DubernetMarie-Lise Dubernet
Marie-Lise Dubernet
VAMDC bridged the gap between atomic and molecular (A&M) producers and users through providing an interoperable e-infrastructure connecting A&M databases, as well as tools to extract and manipulate those data. The current paper highlights the usage of the VAMDC Portal, recalls how data citation is implemented within VAMDC and provides insights about usage of VAMDC that will increase the impact factor of A&M producers and will offer a more reliable citation of A&M datasets included in application fields.

28 October 2021 in Harvard Data Science Review
Verified
Journal Article
Open access
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Andreas RauberAndreas Rauber
Andreas Rauber
BGBernhard Gößwein
Bernhard Gößwein
CZCarlo Maria Zwölf
Carlo Maria Zwölf
CSChris Schubert
Chris Schubert
FWFlorian Wörister
Florian Wörister
MPMark A. Parsons
Mark A. Parsons
Full Article forthcoming In November

14 January 2019 in Data Science Journal
Verified
Journal Article
Open access
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CZCarlo Maria Zwölf
Carlo Maria Zwölf
NMNicolas Moreau
Nicolas Moreau
YBYaye-Awa Ba
Yaye-Awa Ba
Marie-Lise DubernetMarie-Lise Dubernet
Marie-Lise Dubernet
VAMDC bridged the gap between atomic and molecular (A&M) producers and users by providing an interoperable e-infrastructure connecting A&M databases, as well as tools to extract and manipulate those data. The current paper highlights how the new paradigms for data citation produced by the Research Data Alliance in order to address the citation issues in the data-driven science landscape, have successfully been implemented on the VAMDC e-infrastructure.

7 October 2020 in Atoms
Verified
Journal Article
Open access
PDF file
YBYaye-Awa Ba
Yaye-Awa Ba
Marie-Lise DubernetMarie-Lise Dubernet
Marie-Lise Dubernet
NMNicolas Moreau
Nicolas Moreau
CZCarlo Maria Zwölf
Carlo Maria Zwölf
The BASECOL database has been created and scientifically enriched since 2004. It contains collisional excitation rate coefficients of molecules for application to the interstellar medium and to cometary atmospheres. Recently, major technical updates have been performed in order to be compliant with international standards for management of data and in order to provide a more friendly environment to query and to present the data. The current paper aims at presenting the key features of the technical updates and to underline the compatibility of BASECOL database with the Virtual Atomic and Molecular Data Center. This latter aims to interconnect atomic and molecular databases, thus providing a single location where users can access atomic and molecular data.