Results 61 to 70 of about 29,249,487 (323)

Astronomical Characteristics of Cheonsang-yeolcha-bunyajido from the Perspective of Manufacturing Methods [PDF]

Journal of Astronomy and Space Sciences, 2015
I investigated a method for drawing the star chart in the planisphere Cheonsang-yeolcha-bunyajido. The outline of the star chart can be constructed by considering the astronomical information given in the planisphere alone and the drawing method ...
Sang-Hyeon Ahn
doaj   +1 more source

Unique Performance Considerations for Printable Organic Semiconductor and Perovskite Radiation Detectors: Toward Consensus on Best Practice Evaluation

Advanced Functional Materials, EarlyView.
A lack of standard approaches for testing and reporting the performance of metal halide perovskites and organic semiconductor radiation detectors has resulted in inconsistent interpretation of performance parameters, impeding progress in the field. This Perspective recommends key metrics and experimental details, which are suggested for reporting in ...
Jessie A. Posar, Matthew Large, Andrea Ciavatti, Laura Basiricò, Beatrice Fraboni, Paul J. Sellin, Attila J. Mozer, Marco Petasecca, Matthew J. Griffith   +8 more
wiley   +1 more source

Astronomical Research Using Virtual Observatories

Data Science Journal, 2010
The Virtual Observatory (VO) for Astronomy is a framework that empowers astronomical research by providing standard methods to find, access, and utilize astronomical data archives distributed around the world.
M Tanaka, Y Shirasaki, M Ohishi, Y Mizumoto, S Kawanomoto, N Yasuda, S Honda   +6 more
doaj   +1 more source

Efficient data structures for masks on 2D grids

, 2015
This article discusses various methods of representing and manipulating arbitrary coverage information in two dimensions, with a focus on space- and time-efficiency when processing such coverages, storing them on disk, and transmitting them between ...
Hivon, Eric, Reinecke, Martin
core   +2 more sources

Analyzing X-ray variability by State Space Models [PDF]

, 1997
In recent years, autoregressive models have had a profound impact on the description of astronomical time series as the observation of a stochastic process.
A Lawrence, G Yule, H Netzer, IE Papadakis, J Honerkamp, JE Deeter, JE Deeter, MB Priestley   +7 more
core   +2 more sources

ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark

IEEE Transactions on Big Data, 2020
The next decade promises to be an exciting time for astronomers. Large volumes of astronomical data are continuously collected from highly productive space missions.
Mariem Brahem, K. Zeitouni, Laurent Yeh
semanticscholar   +1 more source

Non Thermal‐Driven Photocatalytic Ammonia Decomposition at Near‐Room Temperature on a Plasmonic Nanocone Array

Advanced Functional Materials, EarlyView.
Plasmonic photocatalytic ammonia decomposition occurs at near‐room temperature on a plasmonic Au nanocone array under visible light illumination. The nanostructure efficiently harnesses plasmonic modes, leading to increased reaction rates upon plasmon decay.
Thanh‐Lam Bui, S. M. Hossein Hejazi, Jan Navrátil, Hana Kmentová, Petr Bábor, Olivier Henrotte, Luca Mascaretti, Matteo Bisetto, Stephen K. Sanders, Andrea Schirato, Michal Otyepka, Piotr Błoński, Tiziano Montini, Radek Zboril, Paolo Fornasiero, Alessandro Alabastri, Alberto Naldoni, Stepan Kment   +17 more
wiley   +1 more source

GRRIS: A Real-time Intrasite Observation Scheduling Scheme for Distributed Survey Telescope Arrays

The Astronomical Journal
The distributed telescope array offers promise for conducting large-sky-area, high-frequency time-domain surveys. Multiple telescopes can be deployed at each observation site, so intrasite observation task scheduling is crucial for enhancing observation ...
Yajie Zhang, Ce Yu, Chao Sun, Yi Hu, Zhaohui Shang, Jizeng Wei, Xu Yang   +6 more
doaj   +1 more source

On the segmentation of astronomical images via level-set methods

, 2019
Astronomical images are of crucial importance for astronomers since they contain a lot of information about celestial bodies that can not be directly accessible.
BM Welsh, D Mumford, DA Hope, DL Fried, E Bertin, E Carlini, JA Sethian, L Alvarez, LA Vese, M Micheli, N Otsu, P Perona, R Malladi, S Osher, TF Chan, V Caselles, W Gao   +16 more
core   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source