Predicting galaxy spectra from images with hybrid convolutional neural networks

09/25/2020
by   John F. Wu, et al.
4

Galaxies can be described by features of their optical spectra such as oxygen emission lines, or morphological features such as spiral arms. Although spectroscopy provides a rich description of the physical processes that govern galaxy evolution, spectroscopic data are observationally expensive to obtain. We are able to robustly predict and reconstruct galaxy spectra directly from broad-band imaging. We present a powerful new approach using a hybrid convolutional neural network with deconvolution instead of batch normalization; this hybrid CNN outperforms other models in our tests. The learned mapping between galaxy imaging and spectra will be transformative for future wide-field surveys, such as with the Vera C. Rubin Observatory and Nancy Grace Roman Space Telescope, by multiplying the scientific returns for spectroscopically-limited galaxy samples.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 2

08/29/2018

QuasarNET: Human-level spectral classification and redshifting with Deep Neural Networks

We introduce QuasarNET, a deep convolutional neural network that perform...
12/29/2014

Spectral classification using convolutional neural networks

There is a great need for accurate and autonomous spectral classificatio...
03/18/2021

A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning

This paper presents a method to identify substructures in NMR spectra of...
07/06/2020

Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets

Spectroscopy provides an immense amount of information on stellar object...
09/07/2020

Active deep learning method for the discovery of objects of interest in large spectroscopic surveys

Current archives of the LAMOST telescope contain millions of pipeline-pr...
11/30/2020

AGNet: Weighing Black Holes with Machine Learning

Supermassive black holes (SMBHs) are ubiquitously found at the centers o...
08/20/2018

Peptide-Spectra Matching from Weak Supervision

As in many other scientific domains, we face a fundamental problem when ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.