Observational study of G12.79+0.43 identifies YSOs and HII regions powered by B-type stars and associates the complex with the rim of a molecular superbubble of diameter ~50 pc and expansion age ~0.3 Myr without establishing causality.
Automated Classification of 2000 Bright IRAS Sources
1 Pith paper cite this work. Polarity classification is still indexing.
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Pith paper citing it
abstract
An Artificial Neural Network (ANN) has been employed using a supervised back-propagation scheme to classify 2000 bright sources from the Calgary database of IRAS (Infrared Astronomy Satellite) spectra in the wavelength region of 8-23 microns. The data base has been classified into 17 pre-determined classes based on spectral morphology. We have been able to classify more than 80 percent of the 2000 sources correctly at the first instance. The speed and robustness of the scheme will allow us to classify the whole of LRS database, containing more than 50,000 sources in the future.
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Star Formation at the Periphery of a Molecular Superbubble: The Case of G12.79+0.43
Observational study of G12.79+0.43 identifies YSOs and HII regions powered by B-type stars and associates the complex with the rim of a molecular superbubble of diameter ~50 pc and expansion age ~0.3 Myr without establishing causality.