Automatic exploration of the correlation between cosmic void tracers in cosmological simulations
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Wednesday 10th
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Automatic exploration of the correlation between cosmic void tracers in cosmological simulations
In the present work, we aim to explore the hypothesis that there is a relationship between the abundance curves of cosmic voids identified in halos and in matter. This would allow us to overcome the obstacle posed by the bias relationship when analyzing the distribution of matter in the Universe. We use cosmic voids surveys obtained from cosmological simulations with Ω=[0.1;0.5], with a step of Ω=0.025, and halo densities ranging between 0.001, 0.002, and 0.004. To test the hypothesis, we explore the relationship between the curves using three types of regressors: a linear regressor, a random forest regressor, and a Gaussian regression. The aim is to establish whether training an algorithm with information about the abundance of voids identified with both tracers can predict the behavior of the abundance curve in matter when the only data provided is from the abundance curve in halos.