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The PAU Survey: Uncovering the connection between intrinsic and observed galaxy properties using symbolic regression
Adarsh Kumar, Carlton M. Baugh, Suttikoon Koonkor +12
Estimating stellar masses for billions of galaxies in upcoming surveys requires methods that are both accurate and computationally efficient. We present a new approach using symbol…
The PAU Survey: The -band galaxy luminosity function from the present-day to
S. Koonkor, C. M. Baugh, G. Manzoni +13
We present a measurement of the -band galaxy luminosity function from the present-day to , using over 1.1 million galaxies from the Physics of the Accelerating Universe S…
The PAU Survey: Enhancing photometric redshift estimation using DEEPz
I. V. Daza-Perilla, M. Eriksen, D. Navarro-Gironés +20
We present photometric redshifts for 1 341 559 galaxies from the Physics of the Accelerating Universe Survey (PAUS) over 50.38 of sky to . Redshift e…
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…