I am a student of PhD programme at Astronomical Institute of Wrocław University. My interest are concentrated at stellar atmospheres modelling and machine learning applications in astronomy.
Neural network for stellar spectrum normalization
We present a deep fully convolutional neural network trained
in the task of stellar spectrum normalization. We show that the proposed
model is able to fit spectral continuum, including non-smooth
instrumental pseudo-continuum, wide hydrogen and narrow
blended spectral lines. Proposed solution gives an opportunity to
automate this step of stellar spectrum pre-processing and achieve the
accuracy similar to that of careful manual normalization. This approach
may greatly simplify automated high-resolution spectra analysis.