8 citations · 15 across the 3 of their papers we have counts for
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astro-ph.GA2023★ 1 cited
The PAU Survey: Classifying low-z SEDs using Machine Learning clustering
A. L. González-Morán, P. Arrabal Haro, C. Muñóz-Tuñón +15
We present an application of unsupervised Machine Learning Clustering to the PAU Survey of galaxy spectral energy distribution (SED) within the COSMOS field. The clustering algorit…
astro-ph.GA2023★ 6 cited
The PAU Survey: Close galaxy pairs identification and analysis
E. J. Gonzalez, F. Rodriguez, D. Navarro-Gironés +18
Galaxy pairs constitute the initial building blocks of galaxy evolution, which is driven through merger events and interactions. Thus, the analysis of these systems can be valuable…