Results 111 to 120 of about 2,699,264 (331)

Automated Stellar Spectral Classification and Parameterization for the Masses

, 2002
Stellar spectroscopic classification has been successfully automated by a number of groups. Automated classification and parameterization work best when applied to a homogeneous data set, and thus these techniques primarily have been developed for and ...
Sneden, Chris, Prieto, Carlos Allende, von Hippel, Ted   +2 more
core  

Exploring the morphology of rave stellar spectra [PDF]

, 2012
The RAdial Velocity Experiment (RAVE) is a medium-resolution (R ∼ 7500) spectroscopic survey of the Milky Way that has already obtained over half a million stellar spectra.
Bienayme, O, Gibson, B. K., B. K. Gibson, Bienaymé, Olivier, Parker, Quentin A., U. Munari, Freeman, Kenneth, Helmi, A, Seabroke, G., Zwitter, T., Grebel, Eva K., Grebel, E. K., Wyse, R. F. G., Bienayme, O., Navarro, Julio F., Williams, Mary E K, Steinmetz, M., Gilmore, Gerard, Grebel, EK, T. Zwitter, Seabroke, George M., Gibson, Brad K., Steinmetz, Matthias, Munari, Ulisse, Munari, U., A. Siviero, Siviero, A., Watson, Fred G., Gilmore, G, Matijevič, Gal, Siebert, Arnaud, Freeman, Ken C., Williams, M., Parker, QA, J. Navarro, Boeche, C, Gibson, BK, Steinmetz, M, A. Helmi, Siebert, A., E. K. Grebel, Wyse, RFG, Reid, Warren A. (R18250), K. C. Freeman, Grebel, E., Wyse, Rosemary F G, Siviero, Alessandro, Watson, F. G., Bland-Hawthorn, Joss, Munari, U, Wyse, Rosemary F., Bland-Hawthorn, J., Bland-Hawthorn, J, Parker, Q. A., Boeche, C., Navarro, J, Reid, Warren A., Bland-Hawthorn, Joss Bland, Navarro, J., Freeman, KC, Watson, FG, G. Gilmore, Matijevic, G., Helmi, A., Freeman, K. C., Reid, W., Matijevič, G, Zwitter, T, Williams, Mary E., Seabroke, G, J. Bland-hawthorn, C. Boeche, Gibson, Bradley K, Zwitter, Tomaž, Helmi, Amina, Gilmore, G., Boeche, Corrado, Gilmore, Gerard F., Siebert, A, Williams, M, Siviero, A, Reid, W   +81 more
core   +1 more source

Classification of Stellar Spectra with LLE

, 2011
15 pages, 13 figures; accepted for publication in The Astronomical ...
Daniel, Scott F., Connolly, Andrew J., Schneider, Jeff, Vanderplas, Jake, Xiong, Liang   +4 more
openaire   +2 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Automated classification of stellar spectra - I. Initial results with artificial neural networks [PDF]

, 1994
We have initiated a project to classify stellar spectra automatically from high-dispersion objective prism plates. The automated technique presented here is a simple backpropagation neural network, and is based on the visual classification work of Houk ...
Storrie-Lombardi, L.J., Storrie-Lombardi, L. J., Hippel, Ted von, Irwin, M.J., Irwin, M. J., Storrie-Lombardi, M.C., von Hippel, T., Storrie-Lombardi, M. C.   +7 more
core   +1 more source

A Spectroscopic Survey of Metal-poor OB Stars in Local Dwarf Galaxy NGC 3109

The Astrophysical Journal
As JWST uncovers increasingly strong evidence that metal-poor, massive stars in early galaxies dominated reionization, observational constraints on the properties of such stars are more relevant than ever before.
Abby Mintz, O. Grace Telford, Evan N. Kirby, John Chisholm, Kristen B. W. McQuinn, Danielle A. Berg   +5 more
doaj   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry—Pushing Redward

The Astronomical Journal
We present our photometric method, which combines Subaru/Hyper Suprime-Cam N B 515, g -band, and i- band filters to distinguish giant stars in Local Group galaxies from Milky Way dwarf contamination.
Keyi Ding, Carrie Filion, Rosemary F.G. Wyse, Evan N. Kirby, Itsuki Ogami, Masashi Chiba, Yutaka Komiyama, László Dobos, Alexander S. Szalay   +8 more
doaj   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

A Robust Young Stellar Object Identification Method Based on Deep Learning

The Astrophysical Journal Supplement Series
Young stellar objects (YSOs) represent the earliest stage in the process of star formation, offering insights that contribute to the development of models elucidating star formation and evolution.
Lei Tan, Zhicun Liu, Xiaolong Wang, Ying Mei, Feng Wang, Hui Deng, Chao Liu   +6 more
doaj   +1 more source