Results 41 to 50 of about 37,353 (294)

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

open access: yesThe Astrophysical Journal Supplement Series, 2023
We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host–galaxy associations, redshifts, spectroscopic and/or ...
P. D. Aleo   +87 more
doaj   +1 more source

Infrared composition of the Large Magellanic Cloud [PDF]

open access: yes, 2012
The evolution of galaxies and the history of star formation in the Universe are among the most important topics in today's astrophysics. Especially, the role of small, irregular galaxies in the star-formation history of the Universe is not yet clear ...
A Nota   +67 more
core   +3 more sources

RF Magnetron Sputtered Tungsten Disulfide Films: Influence of Target Preparation, Deposition Parameters, and Storage Conditions on Thin Film Stoichiometry

open access: yesAdvanced Materials Interfaces, EarlyView.
Sputtered WS2 films were investigated in terms of their S‐ and O‐concentration depending on deposition power and pre‐sputter time. Chemical and structural investigations were done using EDS, TEM, SEM, AFM, XRD. In general, 20 W films exhibit a wide variation in stoichiometry and structure whereas 80 W films demonstrate a higher S/W ratio than 20 W ...
Theresa Scheler   +4 more
wiley   +1 more source

Firmamento: A Multimessenger Astronomy Tool for Citizen and Professional Scientists

open access: yesThe Astronomical Journal
Firmamento ( https://firmamento.hosting.nyu.edu ) is a new-concept, web-based, and mobile-friendly data analysis tool dedicated to multifrequency/multimessenger emitters, as exemplified by blazars.
Dhurba Tripathi   +14 more
doaj   +1 more source

Long Period Variables in the Magellanic Clouds: OGLE + 2MASS + DENIS

open access: yes, 2004
(abridged) The 68000 I-band light curves of variable stars detected by the OGLE survey in the Large and Small Magellanic Clouds (MCs) are fitted by Fourier series, and also correlated with the DENIS and 2MASS databases and with lists of spectroscopically
Alard   +99 more
core   +1 more source

Laboratory Astrophysics and the State of Astronomy and Astrophysics [PDF]

open access: yes, 2009
Laboratory astrophysics and complementary theoretical calculations are the foundations of astronomy and astrophysics and will remain so into the foreseeable future.
:   +13 more
core   +3 more sources

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

Catalog of Planetary Nebulae Detected by GALEX and Corollary Optical Surveys

open access: yesThe Astrophysical Journal Supplement Series, 2023
Planetary nebulae (PNs) consist of an ionized envelope surrounding a hot central star (CSPN) that emits mostly at ultraviolet (UV) wavelengths. UV observations, therefore, provide important information on both the CSPN and the nebula. We have matched the
M. A. Gómez-Muñoz   +2 more
doaj   +1 more source

Data Driven Discovery in Astrophysics [PDF]

open access: yes, 2014
We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data rates, and an ever ...
Brescia, M.   +4 more
core   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

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