Euclid Voids for Galaxy Evolution
IFPU
25-29 November 2024
Many physical processes play a significant role in shaping the evolution of galaxies, depending on the environment where they reside. This is evidenced by the correlations observed between galaxy properties and the components of the cosmic web where they are embedded. Low density regions, known as cosmic voids, generally host galaxies that are less massive, more star forming, embedded in smaller dark matter halos and thought to have a slower evolution than their counterparts in high-density regions. Within this framework, our team investigates the properties of galaxies that are found inside cosmic voids. We analyse Euclid-like simulations as part of a Pre-Launch Key Project study in preparation for the release of observational data from the Euclid survey, started earlier this year. We employ various void identification methods to analyse the Large Scale Structure traced by galaxies, and to gain a better understanding of its role in shaping galaxy formation and evolution. In the context of both cosmological and evolutionary studies, simulations are essential to validate the robustness of the void-finder algorithms, and to verify the presence of possible observational biases. With this proposed program, we aim at discussing void parameterization, exploring techniques for matching outputs of different void finders, and maximising their exploitation for galaxy evolution studies both in simulations and observational data. With its two surveys offering unprecedented statistics, Euclid is set to dramatically impact this field, allowing researchers to explore how galaxies evolve in response to their environment on larger scales and at earlier cosmic times than ever before.
Organisers:
- Giulia Papini (INAF-OAS, Bologna)
Participants:
- Giulia Papini (INAF-OAS / DIFA, Bologna)
- Micol Bolzonella (INAF-OAS, Bologna)
- Sofia Contarini (MPE Garching)
- Carlos Correa (MPE Garching)
- Olga Cucciati (INAF-OAS, Bologna)
- Manuela Magliocchetti (INAF-IAPS, Rome)
- Emma Pouyer (Aix-Marseille Université)
- Simone Sartori (CPPM / CNRS, Marseille)
- Carlo Schimd (LAM)
- Jenny Sorce (CNRS – CRIStAL, Lille)
- Pauline Vielzeuf (CPPM, Marseille)