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[N ii] Fine-structure Emission at 122 and 205 ?m in a Galaxy at z = 2.6: A Globally Dense Star-forming Interstellar Medium (2020)
Journal Article
Doherty, M. J., Geach, J. E., Ivison, R. J., & Dye, S. (2020). [N ii] Fine-structure Emission at 122 and 205 ?m in a Galaxy at z = 2.6: A Globally Dense Star-forming Interstellar Medium. Astrophysical Journal, 905(2), Article 152. https://doi.org/10.3847/1538-4357/abc5b9

We present new observations with the Atacama Large Millimeter/submillimeter Array of the 122 and 205 ?m fine-structure line emission of singly ionized nitrogen in a strongly lensed starburst galaxy at z = 2.6. The 122/205 ?m [N ii] line ratio is sens... Read More about [N ii] Fine-structure Emission at 122 and 205 ?m in a Galaxy at z = 2.6: A Globally Dense Star-forming Interstellar Medium.

Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder (2020)
Journal Article
Cheng, T., Li, N., Conselice, C. J., Aragón-Salamanca, A., Dye, S., & Metcalf, R. B. (2020). Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder. Monthly Notices of the Royal Astronomical Society, 394(3), 3750–3765. https://doi.org/10.1093/mnras/staa1015

In this paper we develop a new unsupervised machine learning technique comprised of a feature extractor, a convolutional autoencoder (CAE), and a clustering algorithm consisting of a Bayesian Gaussian mixture model (BGM). We apply this technique to v... Read More about Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder.