Results 11 to 20 of about 5,923,968 (244)
Variable star classification using the light curve ensemble method
Astronomy & AstrophysicsAims. Variable star classification is a crucial yet time-consuming task in astrophysics that could benefit from recent advancements in machine learning. This study explores the application of the ensemble method to enhance the accuracy and efficiency of ...
Nabklang Napat +3 more
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Identifying Exoplanets with Deep Learning. V. Improved Light-curve Classification for TESS Full-frame Image Observations [PDF]
The Astronomical Journal, 2023 The TESS mission produces a large amount of time series data, only a small fraction of which contain detectable exoplanetary transit signals.
Evan Tey +10 more
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The Astrophysical JournalThe Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate a massive collection of time series (light curves) of the measured flux of transient and variable astronomical objects.
Zhuoyang Zhou +5 more
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Light-curve classification with recurrent neural networks for GOTO: dealing with imbalanced data [PDF]
, 2021 The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machine learning (ML) and deep learning (DL) algorithms to sift through the ...
E Thrane (7787702) +44 more
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The Astronomical JournalModern time-domain astronomy will benefit from the vast data collected by survey telescopes. The 2.5 m Wide Field Survey Telescope (WFST), with its powerful capabilities, is promising to make significant contributions in the era of large sky surveys.
Yongling Tang +4 more
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Generalizing across astronomical surveys: Few-shot light curve classification with Astromer 2
Astronomy & AstrophysicsContext. Foundational models have emerged as a powerful paradigm within the deep learning field. Their capacity relies on the ability to learn robust representations from large-scale datasets and generalize to diverse downstream applications, such as ...
Donoso-Oliva Cristobal +5 more
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The Astrophysical Journal Supplement SeriesTime-series observations of celestial objects are fundamental to studying variable and transient phenomena. As time-domain surveys continue to scale up, timely automated classification is essential for rapid follow-up.
Xinghang Yu +4 more
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Supernova light curve classification using attention and other techniques [PDF]
, 2023 Even in the era of deep-learning the huge amount of astronomical data available has not yet allowed us to solve the problem of Supernova (SN) light curve classification.
Ibsen, Amanda
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Contamination in TESS Light Curves: The Case of the Fast Yellow Pulsating Supergiants
The Astronomical Journal, 2023 Given its large plate scale of 21″ pixel ^−1 , analyses of data from the Transiting Exoplanet Survey Satellite (TESS) space telescope must be wary of source confusion from blended light curves, which creates the potential to attribute observed ...
May G. Pedersen, Keaton J. Bell
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Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]
, 2013 A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Anita Rácz +7 more
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