5 papers
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…
Euclid preparation. LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters
Euclid Collaboration, P. Bergamini, M. Meneghetti +263
We present HST2EUCLID, a novel Python code to generate Euclid realistic mock images in the , , , and photometric bands based on panchro…
Euclid: Early Release Observations of diffuse stellar structures and globular clusters as probes of the mass assembly of galaxies in the Dorado group
M. Urbano, P. -A. Duc, T. Saifollahi +160
Deep surveys reveal tidal debris and associated compact stellar systems. Euclid's unique combination of capabilities (spatial resolution, depth, and wide sky coverage) will make it…
ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey
Imdad Mahmud Pathi, John Y. H. Soo, Mao Jie Wee +16
ANNZ is a fast and simple algorithm which utilises artificial neural networks (ANNs), it was known as one of the pioneers of machine learning approaches to photometric redshift est…
Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework
Euclid Collaboration, S. Serrano, P. Hudelot +274
The European Space Agency's Euclid mission is one of the upcoming generation of large-scale cosmology surveys, which will map the large-scale structure in the Universe with unprece…