Multi-tasking the growth of cosmological structures
نویسندگان
چکیده
Next-generation large-scale structure surveys will deliver a significant increase in the precision of growth data, allowing us to use `agnostic' methods study evolution perturbations without assumption cosmological model. We focus on particular machine learning tool, Gaussian processes, reconstruct rate $f$, root mean square matter fluctuations $\sigma_8$, and their product $f\sigma_8$. apply this method simulated representing upcoming Stage IV galaxy surveys. extend standard single-task approach multi-task that reconstructs three functions simultaneously, thereby taking into account inter-dependence. find outperforms for future allow detect departures from model with higher significance. By contrast, limited sensitivity current data severely hinders agnostic methods, since processes parameters need be fine tuned order obtain robust reconstructions.
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ژورنال
عنوان ژورنال: Physics of the Dark Universe
سال: 2021
ISSN: ['2212-6864']
DOI: https://doi.org/10.1016/j.dark.2021.100898