Search Results for author: H. Teimoorinia

Found 2 papers, 1 papers with code

LRP2020: Machine Learning Advantages in Canadian Astrophysics

1 code implementation2 Oct 2019 K. A. Venn, S. Fabbro, A Liu, Y. Hezaveh, L. Perreault-Levasseur, G. Eadie, S. Ellison, J. Woo, JJ. Kavelaars, K. M. Yi, R. Hlozek, J. Bovy, H. Teimoorinia, S. Ravanbakhsh, L. Spencer

This provides a unique opportunity for Canada to also be a world leader in the application of machine learning in the field of astrophysics, and foster the training of a new generation of highly skilled researchers.

Instrumentation and Methods for Astrophysics

Classifying galaxy spectra at 0.5<z<1 with self-organizing maps

no code implementations20 May 2018 S. Rahmani, H. Teimoorinia, P. Barmby

Compared to classification using chi-squared minimization or the supervised neural network, the galaxies classed together by the self-organizing map had more similar spectra.

Astrophysics of Galaxies

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