Special Issue "Astronomy in the Big Data Era: Perspectives"

A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Spatial Data Science and Digital Earth".

Deadline for manuscript submissions: 1 March 2021.

Special Issue Editors

Prof. Dr. Luka Č. Popović
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Guest Editor
Astronomical Observatory, Belgrade, Serbia
Department of Astronomy, Faculty of Mathematics, University of Belgrade, Serbia
Interests: astrophysics; spectroscopy; active galactic nuclei, gravitational lensing
Special Issues and Collections in MDPI journals
Dr. Vladimir Sreckovic
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Guest Editor
The Astrophysics and Ionospheric Laboratory, Institute of Physics Belgrade, University of Belgrade, 11080 Belgrade, Serbia
Interests: solar and stellar astrophysics; space weather studies of upper atmosphere; astrogeoinformatics; astroinformatics; databases; data-mining; natural hazards
Special Issues and Collections in MDPI journals
Prof. Dr. Milan S. Dimitrijević
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Guest Editor
Astronomical Observatory, Volgina 7, 11060 Belgrade, Serbia
Interests: astrophysics; spectroscopy; line profiles; atomic and molecular processes; history of astronomy; archaeoastronomy
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Contemporary astronomy is strongly influenced by cosmic missions (e.g., SDSS Gaia) and onboard telescopes and spectrographs are constantly observing and collecting a huge amount of astronomical data (from photometric to spectroscopic data). Additionally, a large number of telescopes located in different places on Earth produce observational data that can be used for astronomical investigations. However, in this era of big data, research into very different astronomical topics also exist.

In this Special Issue, we will present an overview of astronomical research in Serbia and Bulgaria based on selected papers from the XII Serbian–Bulgarian astronomical conference. We are also inviting other researchers to contribute to this issue with the results of their investigations and reviews on different astronomical topics.

Prof. Dr. Luka Č. Popović
Dr. Vladimir A. Sreckovic
Prof. Dr. Milan S. Dimitrijević
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • astronomy
  • astrophysics
  • astroinformatics

Published Papers (4 papers)

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Open AccessData Descriptor
On the Stark Broadening of Be II Spectral Lines
Data 2020, 5(4), 106; https://doi.org/10.3390/data5040106 - 23 Nov 2020
Abstract
Calculated Stark broadening parameters of singly ionized beryllium spectral lines have been reported. Three spectral series have been studied within semiclassical perturbation theory. The plasma conditions cover temperatures from 2500 to 50,000 K and perturber densities 1011 cm−3 and 1013 [...] Read more.
Calculated Stark broadening parameters of singly ionized beryllium spectral lines have been reported. Three spectral series have been studied within semiclassical perturbation theory. The plasma conditions cover temperatures from 2500 to 50,000 K and perturber densities 1011 cm−3 and 1013 cm−3. The influence of the temperature and the role of the perturbers (electrons, protons and He+ ions) on the Stark width and shift have been discussed. Results could be useful for plasma diagnostics in astrophysics, laboratory, and industrial plasmas. Full article
(This article belongs to the Special Issue Astronomy in the Big Data Era: Perspectives)
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Open AccessData Descriptor
Stark Broadening of Co II Lines in Stellar Atmospheres
Data 2020, 5(3), 74; https://doi.org/10.3390/data5030074 - 27 Aug 2020
Abstract
Data for Stark full widths at half maximum for 46 Co II multiplets were calculated using a modified semiempirical method. In order to show the applicability and usefulness of this set of data for research into white dwarf and A type star atmospheres, [...] Read more.
Data for Stark full widths at half maximum for 46 Co II multiplets were calculated using a modified semiempirical method. In order to show the applicability and usefulness of this set of data for research into white dwarf and A type star atmospheres, the obtained results were used to investigate the significance of the Stark broadening mechanism for Co II lines in the atmospheres of these objects. We examined the influence of surface gravity (log g), effective temperature and the wavelength of the spectral line on the importance of the inclusion of Stark broadening contribution in the profiles of the considered Co II spectral lines, for plasma conditions in atmospheric layers corresponding to different optical depths. Full article
(This article belongs to the Special Issue Astronomy in the Big Data Era: Perspectives)
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Open AccessData Descriptor
Forty Years of the Applications of Stark Broadening Data Determined with the Modified Semiempirical Method
Data 2020, 5(3), 73; https://doi.org/10.3390/data5030073 - 23 Aug 2020
Abstract
The aim of this paper is to analyze the various uses of Stark broadening data for non-hydrogenic lines emitted from plasma, obtained with the modified semiempirical method formulated 40 years ago (1980), which are continuously implemented in the STARK-B database. In such a [...] Read more.
The aim of this paper is to analyze the various uses of Stark broadening data for non-hydrogenic lines emitted from plasma, obtained with the modified semiempirical method formulated 40 years ago (1980), which are continuously implemented in the STARK-B database. In such a way one can identify research fields where they are applied and better see the needs of users in order to better plan future work. This is done by analysis of citations of the modified semiempirical method and the corresponding data in international scientific journals, excluding cases when they are used for comparison with other experimental or theoretical Stark broadening data or for development of the theory of Stark broadening. On the basis of our analysis, one can conclude that the principal applications of such data are in astronomy (white dwarfs, A and B stars, and opacity), investigations of laser produced plasmas, laser design and optimization and their applications in industry and technology (ablation, laser melting, deposition, plasma during electrolytic oxidation, laser micro sintering), as well as for the determination of radiative properties of various plasmas, plasma diagnostics, and investigations of regularities and systematic trends of Stark broadening parameters. Full article
(This article belongs to the Special Issue Astronomy in the Big Data Era: Perspectives)
Open AccessData Descriptor
A Multi-Annotator Survey of Sub-km Craters on Mars
Data 2020, 5(3), 70; https://doi.org/10.3390/data5030070 - 03 Aug 2020
Abstract
We present here a dataset of nearly 5000 small craters across roughly 1700 km2 of the Martian surface, in the MC-11 East quadrangle. The dataset covers twelve 2000-by-2000 pixel Context Camera images, each of which is comprehensively labelled by six annotators, whose [...] Read more.
We present here a dataset of nearly 5000 small craters across roughly 1700 km2 of the Martian surface, in the MC-11 East quadrangle. The dataset covers twelve 2000-by-2000 pixel Context Camera images, each of which is comprehensively labelled by six annotators, whose results are combined using agglomerative clustering. Crater size-frequency distributions are centrally important to the estimation of planetary surface ages, in lieu of in-situ sampling. Older surfaces are exposed to meteoritic impactors for longer and, thus, are more densely cratered. However, whilst populations of larger craters are well understood, the processes governing the production and erosion of small (sub-km) craters are more poorly constrained. We argue that, by surveying larger numbers of small craters, the planetary science community can reduce some of the current uncertainties regarding their production and erosion rates. To this end, many have sought to use state-of-the-art object detection techniques utilising Deep Learning, which—although powerful—require very large amounts of labelled training data to perform optimally. This survey gives researchers a large dataset to analyse small crater statistics over MC-11 East, and allows them to better train and validate their crater detection algorithms. The collection of these data also demonstrates a multi-annotator method for the labelling of many small objects, which produces an estimated confidence score for each annotation and annotator. Full article
(This article belongs to the Special Issue Astronomy in the Big Data Era: Perspectives)
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