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Classification of Astronomical Objects Using Light Curve Profile
2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), 2019Given the advancement in optical and imaging technology, new projects in astronomy commonly aim to produce a wide-field survey of astronomical objects. In particular, object-specific measurement of observed brightness overtime, so-called light curve, can be exploited to determine an object category, which signifies major properties and behavior.
Tossapon Boongoen, J R Mullaney
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A Dynamic, Modular Intelligent-Agent Framework for Astronomical Light Curve Analysis and Classification [PDF]
Lecture Notes in Computer Science, 2016 Modern time-domain astronomy is capable of collecting a staggeringly large amount of data on millions of objects in real time. This makes it almost impossible for objects to be identified manually. Therefore the production of methods and systems for the automated classification of time-domain astro-nomical objects is of great importance.
Paul R Mcwhirter +2 more
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Classification of the light curves of Mira variables
Astrophysics, 1999Based on an analysis of light curves of 223 long-period variables of the Mira Ceti type, recorded using the HIPPARCOS space telescope, it is shown that all the light curves of these stars can be divided by outward form into two groups: stars exhibiting simple light curves of sinusoidal shape and stars with complicated light curves, with hump-shaped ...
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Automated Classification of Light Curves Using ANNs
2003Astronomical data archives have become a fundamental tool for research in the present days and practical ways to identify objects of interest in large databases are needed. In this contribution we present an artificial neural network (ANN) designed to help the astronomer identify eclipsing binary systems and pulsating variables in a database of light ...
L. M. Sarro +3 more
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2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2021
Variable stars are stars whose brightness changes overtime. Due to their change of brightness, they are relatively easy to observe. Astronomers use variable stars as a tool to learn about the formation and evolution of the system that they are in. Different types of variable stars provide unique information about the host system.
Prapaporn Techa-angkoon +5 more
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Variable stars are stars whose brightness changes overtime. Due to their change of brightness, they are relatively easy to observe. Astronomers use variable stars as a tool to learn about the formation and evolution of the system that they are in. Different types of variable stars provide unique information about the host system.
Prapaporn Techa-angkoon +5 more
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Classification of objects in geosynchronous earth orbit via light curve analysis
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017Characterizing Resident Space Objects is necessary for the maintenance of Space Situational Awareness. Previous studies have shown that machine learning classifiers can be used to automatically characterize these objects using non-resolved photometric data in a simulated environment.
Walter D. Bennette +2 more
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Classification of COROT Exoplanet Light Curves
2006Contains fulltext : 35994.pdf (Publisher’s version ) (Closed access)
Debosscher, J. +2 more
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An overview of meteor classifications and ways to parameterize their light curves
Publications of the Pulkovo ObservatoryThe main source of data on the physical properties of meteoroids burning up in the Earth’s atmosphere is the meteor flyby. The most important sources of information are the parameters related to the asymmetry of the light curve, the duration of meteor flyby, and the heights of the onset of ablation.
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Classification of Poorly Time Sampled Light Curves of Periodic Variable Stars
2012Classification of periodic variable light curves is important for scientific knowledge discovery and efficient use of telescopic resources for source follow-up. In practice, labeled light curves from catalogs with hundreds of flux measurements (the training set) may be used to classify curves from ongoing surveys with tens of flux measurements (the ...
James P. Long +4 more
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A Comparison of Convolutional Neural Networks for RR Lyrae Light Curve Classification
2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2021Alfredo Morales +3 more
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