Results 41 to 50 of about 2,699,264 (331)

Machine Learning Techniques for Stellar Light Curve Classification [PDF]

Astronomical Journal, 2017
We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time-series data. We preprocessed over 94 GB of Kepler light curves from the Mikulski Archive for Space Telescopes (MAST) to classify ...
Trisha Hinners, K.B. Tat, R. Thorp
semanticscholar   +1 more source

Machine Learning Applied to Star–Galaxy–QSO Classification and Stellar Effective Temperature Regression [PDF]

Astronomical Journal, 2018
In modern astrophysics, machine learning has increasingly gained popularity with its incredibly powerful ability to make predictions or calculated suggestions for large amounts of data.
Y. Bai, Jifeng Liu, Song-Yun Wang, Fan Yang   +3 more
semanticscholar   +1 more source

The SAMI Galaxy Survey revisiting Galaxy classification through high-order stellar kinematics. (2017)

, 2017
The SAMI instrument and Galaxy Survey is described in detail in Croom+ (2012MNRAS.421..872C) and Bryant+ (2015MNRAS.447.2857B). SAMI is a multi-object integral field spectrograph on the 3.9m Anglo Australian Telescope (AAT).
Ho, I.-Ting, McElroy, Rebecca, Leslie, Sarah K., Tonini, Chiara, Konstantopoulos, Iraklis S., Sweet, Sarah M., Groves, Brent, van de Sande, Jesse, Fogarty, Lisa M. R., Oh, Sree, Bland-Hawthorn, J., Cortese, Luca, Goodwin, Michael, Medling, Anne M., López-Sánchez, Ángel R., Goldstein, Gregory, Davies, Roger, Allen, James T., Owers, Matt S., Richards, Samuel N., Bryant, Julia J., Taranu, Dan, Yi, Sukyoung K., McDermid, Richard M., Couch, Warrick J., Cecil, Gerald, Colless, Matthew, Sharp, Rob, Jeong, Hyunjin, d'Eugenio, Francesco, Brough, Sarah, Scott, Nicholas, Walcher, C. Jakob, Elahi, Pascal J., Croom, Scott M., Schaefer, Adam L., Lawrence, Jon S., Foster, Caroline, Jones, D. Heath   +38 more
core   +1 more source

A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys

Entropy, 2020
This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars.
Carlos Dafonte, Alejandra Rodríguez, Minia Manteiga, Ángel Gómez, Bernardino Arcay   +4 more
doaj   +1 more source

Spectral Feature Extraction Using Partial and General Method

Advances in Astronomy, 2021
With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional manual classification processes can no longer fulfill the requirements of precision and efficiency of spectral classification.
Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu   +4 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Galáxias post-starburst no universo local [PDF]

, 2014
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas, Programa de Pós-Graduação em Física, Florianópolis, 2014Galáxias post-starburst (PSB) apresentam espectros com fortes linhas de absorção na série ...
Werle, Ariel
core  

Linking the morphology of young stellar objects to their evolutionary stages with self-organizing maps

Astronomy & Astrophysics
Context. Many studies in the past few decades have investigated the evolution of young stellar objects based on their spectral energy distribution. This distribution is heavily affected not only by the evolutionary stage, but also by the morphology of ...
Hernandez David, Dionatos Odysseas, Audard Marc, Marton Gábor, Roquette Julia, Gezer Ilknur, Madarász Máté, Polsterer Kai L.   +7 more
doaj   +1 more source

A machine-vision method for automatic classification of stellar halo substructure [PDF]

Monthly notices of the Royal Astronomical Society, 2018
Tidal debris structures formed from disrupted satellites contain important clues about the assembly histories of galaxies. To date, studies of these structures have been hampered by reliance on by-eye identification and morphological classification ...
D. Hendel, K. Johnston, Rohit K. Patra, B. Sen   +3 more
semanticscholar   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source