SciPICal calibrates galaxy properties in halo-based mocks for Euclid, delivering improved clustering predictions and a deep catalogue validated to 15 percent against observations.
Parimbelli , G., Elkhashab , M
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
astro-ph.CO 2verdicts
UNVERDICTED 2representative citing papers
LIGER4GAL finds that omitting the finger-of-the-observer effect biases f_nl by more than 1 sigma in 40% of realizations for k_min=0.0015 h/Mpc scales.
citing papers explorer
-
Euclid. Populating a dark universe with galaxies using SciPIC
SciPICal calibrates galaxy properties in halo-based mocks for Euclid, delivering improved clustering predictions and a deep catalogue validated to 15 percent against observations.
-
The impact of our peculiar motion on primordial non-Gaussianity measurements using the LIGER4GAL framework
LIGER4GAL finds that omitting the finger-of-the-observer effect biases f_nl by more than 1 sigma in 40% of realizations for k_min=0.0015 h/Mpc scales.