7 citations · 9 across the 4 of their papers we have counts for
5 papers
Model-independent parameters from DESI DR1 LRG2 with an explicitly varying power-spectrum shape
Yong-Seon Song, M. Icaza-Lizaola, Minji Oh +1
Distinguishing between dark energy and modified gravity as the origin of the accelerated expansion requires the cosmic distances and the growth of structure to be measured in a mod…
Populating Large N-body Simulations with LRGs Using Neural Networks
M. Icaza-Lizaola, E. L. Sirks, Yong-Seon Song +2
The analysis of state-of-the-art cosmological surveys like the Dark Energy Spectroscopic Instrument (DESI) survey requires high-resolution, large-volume simulations. However, the c…
High precision accelerator for our hybrid model of the redshift space power spectrum
M. Icaza-Lizaola, Yong-Seon Song, Minji Oh +1
Upcoming Large Scale Structure surveys aim to achieve an unprecedented level of precision in measuring galaxy clustering. However, accurately modeling these statistics may require…
A sparse regression approach for populating dark matter halos and subhalos with galaxies
M. Icaza-Lizaola, Richard G. Bower, Peder Norberg +2
We use sparse regression methods (SRM) to build accurate and explainable models that predict the stellar mass of central and satellite galaxies as a function of properties of their…
A sparse regression approach to modeling the relation between galaxy stellar masses and their host halos
M. Icaza-Lizaola, Richard G. Bower, Peder Norberg +3
Sparse regression algorithms have been proposed as the appropriate framework to model the governing equations of a system from data, without needing prior knowledge of the underlyi…