Giovanni Aricò

Giovanni Aricò

(he/him)

Postdoctoral fellow

INFN

Professional Summary

Education

PhD in Physics

Zaragoza University

MS Cosmology and Astrophysics

Bologna University

BS Astronomy

Bologna University

Interests

Cosmology Astrophysics Machine Learning Numerical simulations
📚 My Research

I aim to answer fundamental questions such as the nature of dark matter and dark energy, the validity of General Relativity at the largest scale of the Universe, and the physics of the formation of galaxies. To do so, I analyse multi-wavelength maps of the large-scale structure of the Universe using Bayesian inference. I optimise the extraction of information by developing new non-linear methods, which combine cosmological simulations, theoretical models of astrophysics, and machine learning techniques.

Feel free to reach out! 😃

Selected Publication
Baryonification extended to thermal Sunyaev Zel’dovich featured image

Baryonification extended to thermal Sunyaev Zel’dovich

We designed an enhanced baryonification model that captures not only how galaxy formation shapes matter but also how it heats and pressurizes gas — unlocking realistic predictions …

avatar
Giovanni Aricò
Read more
DES Y3 cosmic shear down to small scales: constraints on cosmology and baryons featured image

DES Y3 cosmic shear down to small scales: constraints on cosmology and baryons

Unlocking the hidden power of small scales, this study delivers the first full-range cosmic shear analysis of DES Y3 data—tightening cosmological constraints and revealing how …

avatar
Giovanni Aricò
Read more
The BACCO Simulation Project: A baryonification emulator with Neural Networks featured image

The BACCO Simulation Project: A baryonification emulator with Neural Networks

We introduce a powerful neural-network emulator that precisely predicts how baryons reshape the cosmic matter power spectrum across cosmologies and feedback models. Trained on over …

avatar
Giovanni Aricò
Read more
Modelling the large scale structure of the Universe as a function of cosmology and baryonic physics featured image

Modelling the large scale structure of the Universe as a function of cosmology and baryonic physics

We present a fast framework that models the Universe’s 3D mass distribution by combining rescaled N-body simulations with a baryonification algorithm, accurately reproducing …

avatar
Giovanni Aricò
Read more
(2023). DES Y3 cosmic shear down to small scales: constraints on cosmology and baryons. A&A.
(2020). The BACCO Simulation Project: A baryonification emulator with Neural Networks. MNRAS.
(2020). Modelling the large scale structure of the Universe as a function of cosmology and baryonic physics. MNRAS.
Talks
Cosmology Without Scale Cuts! (DES Cosmic Shear Baryonified) featured image

Cosmology Without Scale Cuts! (DES Cosmic Shear Baryonified)

Giovanni Aricò tells us about his recent work adding baryons to the modelling of Dark Energy Survey cosmic shear analysis.

avatar
Giovanni Aricò
Read more
Cosmology with baryons featured image

Cosmology with baryons

Modelling the cosmic matter distribution for large-scale structure analyses.

avatar
Giovanni Aricò
Read more
Baryonic effects on large-scale structure featured image

Baryonic effects on large-scale structure

Recap of the role of baryonic physics and astrophysical processes in shaping the structure of the universe.

avatar
Giovanni Aricò
Read more
Resources
Simultaneous Constraints on Cosmology and Astrophysics with Multi-Wavelength Observations featured image

Simultaneous Constraints on Cosmology and Astrophysics with Multi-Wavelength Observations

Video and slides of the talk at New Synergies in Multi-Probe Cosmology conference, Kavli Institute for Theoretical Physics (KITP), Santa Barbara, California.

avatar
Giovanni Aricò
Read more
How to simulate the large-scale structure of the universe featured image

How to simulate the large-scale structure of the universe

Lecture on numerical simulations of the universe delivered for the COLOURS Cosmology school.

avatar
Giovanni Aricò
Read more
BACCOemu featured image

BACCOemu

BACCOemu is a software library providing neural-network emulators for cosmological large-scale structure statistics.

avatar
Giovanni Aricò
Read more