Results 1 to 10 of about 160,758 (264)
Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response
ISPRS International Journal of Geo-Information, 2017 Three-dimensional modeling of building environments and indoor positioning is essential for emergency response in cities. Traditional ground-based measurement methods, such as geodetic astronomy, total stations, and global positioning system (GPS ...
Xin Zhang +4 more
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Bjet_MCMC: A New Tool to Automatically Fit the Broadband Spectral Energy Distributions of Blazars
The Astrophysical JournalMultiwavelength observations are now the norm for studying blazars’ various states of activity, classifying them, and determining the possible underlying physical processes driving their emission.
Olivier Hervet +2 more
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Methods for Incorporating Model Uncertainty into Exoplanet Atmospheric Analysis
The Astrophysical JournalA key goal of exoplanet spectroscopy is to measure atmospheric properties, such as abundances of chemical species, in order to connect them to our understanding of atmospheric physics and planet formation. In this new era of high-quality JWST data, it is
Matthew C. Nixon +3 more
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The Astrophysical Journal Supplement SeriesWith the advancement of astronomical observation technology and the substantial increase in data volume, traditional methods for pulsar identification are increasingly challenged by the dynamic nature of data distributions.
Yi Liu +4 more
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The Astronomical JournalThe field of pulsar candidate identification still faces the challenge of algorithm generalization, as a single model often fails to adapt to datasets with diverse sources and characteristics.
Yining Song +4 more
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PARC: Pesquisa em Arquitetura e Construção, 2011 This study is based on innovative researches and combines technology, methodologies and means which are used in different sciences and processes such as informatics and computational processes, telegeoprocessing–telegeomonitoring technologies, survey ...
Stelios Th. Kouzeleas
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Enhancing Pulsar Candidate Identification with Self-tuning Pseudolabeling Semisupervised Learning
The Astrophysical JournalIn the field of astronomy, machine-learning technologies are becoming increasingly crucial for identifying radio pulsars. However, the process of acquiring labeled data, which is both time-consuming and potentially biased, poses a significant limitation ...
Yi Liu +3 more
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Gravitational-Wave Astronomy: Modelling, detection, and data analysis
, 2017 La detección directa de la primera señal de ondas gravitatorias, el 14 de Septiembre de 2015, puede considerarse uno de los mayores hitos científicos de todos los tiempos. No solo porque supone la confirmación de la última de las predicciones de la Teoría de la Relatividad General de Albert Einstein, sino porque anticipa una autentica revolución en el ...
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Gaussian Process Models Impact the Inferred Properties of Giant Planets around Active Stars
The Astronomical JournalThe recent development of statistical methods that can distinguish between stellar activity and dynamical signals in radial velocity (RV) observations has facilitated the discovery and characterization of planets orbiting young stars. One such technique,
Quang H. Tran, Brendan P. Bowler
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Gravitational wave astronomy has reshaped our understanding of the cosmos. As we look towards the future launch of LISA, a space-based gravitational wave detector, and analyze recent evidence of a nanohertz gravitational wave background from Pulsar Timing Array (PTA) experiments, new opportunities and challenges emerge.
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