Chapter 1 New applications of Graph Neural Networks in Cosmology

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Chapter 1

New applications of Graph Neural Networks in

Cosmology

Farida Farsian, Federico Marulli, Lauro Moscardini, Carlo Giocoli

Abstract Upcoming cosmological surveys will provide unprecedented amount of

data, which will require innovative statistical methods to maximize the scientiﬁc

exploitation. Standard cosmological analyses based on abundances, two-point and

higher-order statistics of cosmic tracers have been widely used to investigate the

properties of the cosmic web and Large Scale Structure. However, these statistics

can only exploit a subset of the entire information content available. Our goal is

thus to implement new data analysis techniques based on machine learning to ex-

tract cosmological information through forward modelling, by directly exploiting

Farida Farsian

Dipartimento di Fisica e Astronomia “Augusto Righi” - Alma Mater Studiorum Universit`

a di

Bologna, via Piero Gobetti 93/2, I-40129 Bologna, Italy

INAF - Osservatorio di Astroﬁsica e Scienza dello Spazio di Bologna, via Piero Gobetti 93/3, I-

40129 Bologna, Italy e-mail: farida.farsian@unibo.it

Federico Marulli

Dipartimento di Fisica e Astronomia “Augusto Righi” - Alma Mater Studiorum Universit`

a di

Bologna, via Piero Gobetti 93/2, I-40129 Bologna, Italy

INAF - Osservatorio di Astroﬁsica e Scienza dello Spazio di Bologna, via Piero Gobetti 93/3, I-

40129 Bologna, Italy

INFN - Sezione di Bologna, viale Berti Pichat 6/2, I-40127 Bologna, Italy e-mail: federico.

marulli3@unibo.it

Lauro Moscardini

Dipartimento di Fisica e Astronomia “Augusto Righi” - Alma Mater Studiorum Universit`

a di

Bologna, via Piero Gobetti 93/2, I-40129 Bologna, Italy

INAF - Osservatorio di Astroﬁsica e Scienza dello Spazio di Bologna, via Piero Gobetti 93/3, I-

40129 Bologna, Italy

INFN - Sezione di Bologna, viale Berti Pichat 6/2, I-40127 Bologna, Italy e-mail: lauro.

moscardini@unibo.it

Carlo Giocoli

INAF - Osservatorio di Astroﬁsica e Scienza dello Spazio di Bologna, via Piero Gobetti 93/3, I-

40129 Bologna, Italy

INFN - Sezione di Bologna, viale Berti Pichat 6/2, I-40127 Bologna, Italy e-mail: carlo.

giocoli@inaf.it

arXiv:2210.11487v1 [astro-ph.CO] 20 Oct 2022

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Chapter1NewapplicationsofGraphNeuralNetworksinCosmologyFaridaFarsian,FedericoMarulli,LauroMoscardini,CarloGiocoliAbstractUpcomingcosmologicalsurveyswillprovideunprecedentedamountofdata,whichwillrequireinnovativestatisticalmethodstomaximizethescienticexploitation.Standardcosmologicalanalysesbasedona...

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