Results 21 to 30 of about 154,240 (279)

Graph-Based Light-Curve Features for Robust Transient Classification

open access: yesThe Open Journal of Astrophysics
We investigate graph-based representations of astronomical light curves for transient classification on a quality-controlled, class-balanced subset of the MANTRA benchmark (minimum coverage $N_{\min}=100$ epochs; $N=1{,}705$ objects after filtering and ...
Jesús D. Petro-Ramos   +2 more
doaj   +4 more sources

Photometric Light Curves Classification with Machine Learning [PDF]

open access: yesJournal of Astronomical Instrumentation, 2020
The Large Synoptic Survey Telescope will begin its survey in 2022 and produce terabytes of imaging data each night. To work with this massive onset of data, automated algorithms to classify astronomical light curves are crucial. Here, we present a method for automated classification of photometric light curves for a range of astronomical objects.
Tatiana Gabruseva   +2 more
openaire   +2 more sources

Featureless classification of light curves [PDF]

open access: yesMonthly Notices of the Royal Astronomical Society, 2015
Accepted for publication in ...
Kügler, Sven Dennis   +2 more
openaire   +2 more sources

CATALOG OF 93 NOVA LIGHT CURVES: CLASSIFICATION AND PROPERTIES [PDF]

open access: yesThe Astronomical Journal, 2010
We present a catalog of 93 very-well-observed nova light curves. The light curves were constructed from 229,796 individual measured magnitudes, with the median coverage extending to 8.0 mag below peak and 26% of the light curves following the eruption all the way to quiescence.
Strope, Richard J.   +2 more
openaire   +2 more sources

On the Classification and Feature Relevance of Multiband Light Curves

open access: yesThe Astronomical Journal, 2021
Abstract With an expected torrent of data from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the need for automated identification of noisy and sparse light curves will increase drastically. In this paper, we performed classification of multiband astronomical light curves from the Photometric LSST Astronomical ...
Fatma Kuzey Edes-Huyal   +2 more
openaire   +1 more source

Classification of ASKAP VAST Radio Light Curves [PDF]

open access: yesProceedings of the International Astronomical Union, 2011
AbstractThe VAST survey is a wide-field survey that observes with unprecedented instrument sensitivity (0.5 mJy or lower) and repeat cadence (a goal of 5 seconds) that will enable novel scientific discoveries related to known and unknown classes of radio transients and variables.
Umaa Rebbapragada   +5 more
openaire   +1 more source

EXPLORING THE VARIABLE SKY WITH LINEAR. III. CLASSIFICATION OF PERIODIC LIGHT CURVES [PDF]

open access: yesThe Astronomical Journal, 2013
We describe the construction of a highly reliable sample of approximately 7,000 optically faint periodic variable stars with light curves obtained by the asteroid survey LINEAR across 10,000 sq.deg of northern sky. Majority of these variables have not been cataloged yet. The sample flux limit is several magnitudes fainter than for most other wide-angle
Palaversa, Lovro   +21 more
openaire   +4 more sources

Light curve feature extraction from astronomical source [PDF]

open access: yes, 2021
Астрономия входит в эпоху больших обзоров переменного неба, таких как Zwicky Transient Facility и грядущий Legacy Survey of Space and Time. Эти обзоры предназначены для мониторинга всей видимой части неба за несколько ночей.
Malanchev, K. L.   +3 more
core   +1 more source

Analyzing Light Curves for Variable Star Classification

open access: yes, 2020
Today we will think about analyzing stars that are photometrically variable. What is the range of astrophysical phenomena are we talking about here?extrinsic vs.
Melinda Soares Furtado   +2 more
openaire   +1 more source

Modeling Light Curves for Improved Classification

open access: yes, 2014
Many synoptic surveys are observing large parts of the sky multiple times. The resulting lightcurves provide a wonderful window to the dynamic nature of the universe. However, there are many significant challenges in analyzing these light curves. These include heterogeneity of the data, irregularly sampled data, missing data, censored data, known but ...
Faraway, Julian   +6 more
openaire   +2 more sources

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