Results 1 to 10 of about 154,240 (279)

TLW: A Real-Time Light Curve Classification Algorithm for Transients Based on Machine Learning

Universe
The real-time light curve classification of transients is helpful in searching for rare transients. We propose a new algorithm based on machine learning, namely the Temporary Convective Network and Light Gradient Boosting Machine Combined with Weight ...
Mengci Li, Chao Wu, Zhe Kang, Chengzhi Liu, Shiyu Deng, Zhenwei Li   +5 more
doaj   +4 more sources

LEAVES: An Expandable Light-curve Data Set for Automatic Classification of Variable Stars

The Astrophysical Journal Supplement Series
With the increasing amount of astronomical observation data, it is an inevitable trend to use artificial intelligence methods for automatic analysis and identification of light curves for full samples.
Ya Fei, Ce Yu, Kun Li, Xiaodian Chen, Yajie Zhang, Chenzhou Cui, Jian Xiao, Yunfei Xu, Yihan Tao   +8 more
doaj   +3 more sources

Identifying Light-curve Signals with a Deep-learning-based Object Detection Algorithm. II. A General Light-curve Classification Framework

The Astrophysical Journal Supplement Series
Vast amounts of astronomical photometric data are generated from various projects, requiring significant effort to identify variable stars and other object classes.
Kaiming Cui, D. J. Armstrong, Fabo Feng
doaj   +4 more sources

Classification of Low Earth Orbit (LEO) Resident Space Objects’ (RSO) Light Curves Using a Support Vector Machine (SVM) and Long Short-Term Memory (LSTM)

Sensors, 2023
Light curves are plots of brightness measured over time. In the field of Space Situational Awareness (SSA), light curves of Resident Space Objects (RSOs) can be utilized to infer information about an RSO such as the type of object, its attitude, and its ...
Randa Qashoa, Regina Lee
doaj   +2 more sources

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning

The Astrophysical Journal, 2023
Substantial effort has been devoted to the characterization of transient phenomena from photometric information. Automated approaches to this problem have taken advantage of complete phase coverage of an event, limiting their use for triggering rapid ...
Alexander Gagliano, Gabriella Contardo, Daniel Foreman-Mackey, Alex I. Malz, Patrick D. Aleo   +4 more
doaj   +1 more source

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

The Astrophysical Journal Supplement Series, 2023
We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host–galaxy associations, redshifts, spectroscopic and/or ...
P. D. Aleo, K. Malanchev, S. Sharief, D. O. Jones, G. Narayan, R. J. Foley, V. A. Villar, C. R. Angus, V. F. Baldassare, M. J. Bustamante-Rosell, D. Chatterjee, C. Cold, D. A. Coulter, K. W. Davis, S. Dhawan, M. R. Drout, A. Engel, K. D. French, A. Gagliano, C. Gall, J. Hjorth, M. E. Huber, W. V. Jacobson-Galán, C. D. Kilpatrick, D. Langeroodi, P. Macias, K. S. Mandel, R. Margutti, F. Matasić, P. McGill, J. D. R. Pierel, E. Ramirez-Ruiz, C. L. Ransome, C. Rojas-Bravo, M. R. Siebert, K. W. Smith, K. M. de Soto, M. C. Stroh, S. Tinyanont, K. Taggart, S. M. Ward, R. Wojtak, K. Auchettl, P. K. Blanchard, T. J. L. de Boer, B. M. Boyd, C. M. Carroll, K. C. Chambers, L. DeMarchi, G. Dimitriadis, S. A. Dodd, N. Earl, D. Farias, H. Gao, S. Gomez, M. Grayling, C. Grillo, E. E. Hayes, T. Hung, L. Izzo, N. Khetan, A. N. Kolborg, J. A. P. Law-Smith, N. LeBaron, C.-C. Lin, Y. Luo, E. A. Magnier, D. Matthews, B. Mockler, A. J. G. O’Grady, Y.-C. Pan, C. A. Politsch, S. I. Raimundo, A. Rest, R. Ridden-Harper, A. Sarangi, S. L. Schrøder, S. J. Smartt, G. Terreran, S. Thorp, J. Vazquez, R. J. Wainscoat, Q. Wang, A. R. Wasserman, S. K. Yadavalli, R. Yarza, Y. Zenati, Young Supernova Experiment   +87 more
doaj   +1 more source

Feature-Based Classification Neural Network for Kepler Light Curves from Quarter 1

Universe, 2023
Determining the types of light curves has been a challenge due to the massive amount of light curves generated by large sky survey programs. In the literature, the light curves classification methods are overly dependent on the imaging quality of the ...
Jing Yan, Huanli Wu, Bo Qiu, A-Li Luo, Fuji Ren   +4 more
doaj   +1 more source

Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth

Frontiers in Digital Health, 2022
BackgroundWrist worn accelerometers are convenient to wear and provide greater compliance. However, methods to transform the resultant output into predictions of physical activity (PA) intensity have been slow to evolve, with most investigators ...
Stewart G. Trost, Stewart G. Trost, Denise S. K. Brookes, Matthew N. Ahmadi   +3 more
doaj   +1 more source

Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies

The Astrophysical Journal Supplement Series, 2023
This investigation is mainly focused on the LSST Survey Strategy Optimization process, a bottom-up approach that turned out to be quite effective in involving the scientific community in the definition of the LSST observing strategy.
M. Di Criscienzo, S. Leccia, V. Braga, I. Musella, G. Bono, M. Dall’Ora, G. Fiorentino, M. Marconi, R. Molinaro, V. Ripepi, K. Carrell, Y. Choi, S. Savarese, L. Schreiber   +13 more
doaj   +1 more source

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
doaj   +1 more source