Results 11 to 20 of about 12,455 (258)

The natural science underlying big history. [PDF]

open access: yesScientificWorldJournal, 2014
Nature’s many varied complex systems—including galaxies, stars, planets, life, and society—are islands of order within the increasingly disordered Universe. All organized systems are subject to physical, biological, or cultural evolution, which together comprise the grander interdisciplinary subject of cosmic evolution.
Chaisson EJ.
europepmc   +2 more sources

Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band images

open access: yesThe Open Journal of Astrophysics, 2021
Countless low-surface brightness objects - including spiral galaxies, dwarf galaxies, and noise patterns - have been detected in recent large surveys.
Oliver Müller, Eva Schnider
doaj   +1 more source

A Comparison between the Morphologies and Structures of Dwarf Galaxies with and without Active Massive Black Holes

open access: yesThe Astrophysical Journal, 2023
We study the morphologies and structures of 57 dwarf galaxies that are representative of the general population of dwarf galaxies and compare their demographics to a sample of dwarf galaxies hosting optically selected active galactic nuclei (AGNs).
Seth J. Kimbrell   +3 more
doaj   +1 more source

THE OUTER DISKS OF DWARF IRREGULAR GALAXIES [PDF]

open access: yesThe Astronomical Journal, 2011
AJ, in ...
Hunter, Deidre A.   +7 more
openaire   +2 more sources

Commodity risk assessment of Quercus robur plants from the UK

open access: yesEFSA Journal, Volume 21, Issue 10, October 2023., 2023
Abstract The European Commission requested the EFSA Panel on Plant Health to prepare and deliver risk assessments for commodities listed in Commission Implementing Regulation (EU) 2018/2019 as ‘High‐risk plants, plant products and other objects’. This Scientific Opinion covers plant health risks posed by plants of Quercus robur imported from the UK as:
EFSA Panel on Plant Health (PLH)   +29 more
wiley   +1 more source

Chemical abundances in the dwarf galaxy NGC 4163 based on the nebular and auroral emission lines

open access: yesAstronomische Nachrichten, Volume 343, Issue 9-10, November-December 2022., 2022
Abstract We constructed an oxygen abundance map and N/O ratio map of the unusually low excitation dwarf irregular galaxy NGC 4163 based on publicly available spectroscopy obtained by the MaNGA survey. We detected auroral emission line [O II]λλ$$ \lambda \lambda $$7320,7330 which allows us to measure chemical abundance by direct Te$$ {\mathrm{T}}_e ...
I. A. Zinchenko, L. S. Pilyugin
wiley   +1 more source

The Full-fledged Dwarf Irregular Galaxy Leo A [PDF]

open access: yesThe Astrophysical Journal, 2004
9 pages, 3 figures, submitted to ...
Vansevicius, Vladas   +10 more
openaire   +3 more sources

Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 127, Issue 2, February 2022., 2022
Abstract Observing the environment in the vast regions of Earth through remote sensing platforms provides the tools to measure ecological dynamics. The Arctic tundra biome, one of the largest inaccessible terrestrial biomes on Earth, requires remote sensing across multiple spatial and temporal scales, from towers to satellites, particularly those ...
Peter R. Nelson   +19 more
wiley   +1 more source

DDO68 C: The Actual Appearance of a Ghost Satellite Dwarf through Adaptive Optics at the Large Binocular Telescope

open access: yesThe Astrophysical Journal Letters, 2023
Through adaptive optics (AO) imaging with the SOUL+LUCI instrument at the Large Binocular Telescope we were able to resolve, for the first time, individual stars in the gas-rich galaxy DDO68 C. This system was already suggested to be interacting with the
Francesca Annibali   +9 more
doaj   +1 more source

Spectral Feature Extraction Using Partial and General Method

open access: yesAdvances in Astronomy, Volume 2021, Issue 1, 2021., 2021
With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional manual classification processes can no longer fulfill the requirements of precision and efficiency of spectral classification. There is an urgent need to employ machine learning approaches to conduct automated spectral classification tasks.
Bin Jiang   +5 more
wiley   +1 more source

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