Speaker: Dr. Mehdi Bazargan
Affiliation: Physics Department, Zanjan University
Title:
Multi-dimensional astronomical data analysis using automatic pipelineTitle:
Date:25 May 2011
Place: Seminar Series, Astronomy School, IPM
Place: Seminar Series, Astronomy School, IPM
In the recent years, Artificial Neural Networks (ANN) have become
extremely popular as a tool for handling large data bases, particularly in
Astronomical application, with very large data available to the community.
The ANN can be applied for the classification of objects or extracting
parameters. I will be discussing the application of artificial neural
networks in the analysis of stellar spectra, mainly, application of these
techniques to the automatic classification of stellar spectra of stars.
Other applications of these tools such as estimating the nanoflare
parameters for the SUMER light curves in the corona of an active region,
Morphological classification of galaxies and the cosmological parameter
estimation, will be considered.
extremely popular as a tool for handling large data bases, particularly in
Astronomical application, with very large data available to the community.
The ANN can be applied for the classification of objects or extracting
parameters. I will be discussing the application of artificial neural
networks in the analysis of stellar spectra, mainly, application of these
techniques to the automatic classification of stellar spectra of stars.
Other applications of these tools such as estimating the nanoflare
parameters for the SUMER light curves in the corona of an active region,
Morphological classification of galaxies and the cosmological parameter
estimation, will be considered.
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