Cosmic Rhythms

Session

SBI and Field level inference

9 Sept 2026, 14:00

Auditório Ministro João Alberto Lins e Barros (CBPF)

95. Fabian Schmidt: Simulations and IA for future analyses

Fabian Schmidt

09/09/2026, 14:00

61. Simulation-based inference for multi-probe cosmology

Adrian E. Bayer Not Supplied (Flatiron Institute / Princeton University)

09/09/2026, 14:30

Oral Talk

Cosmology is entering an era in which inference can be performed directly from maps and fields, using simulation-based inference (SBI) across both large-scale structure and CMB surveys, offering a way to trace the underlying rhythms of the cosmos across multiple probes and scales.

I will begin by motivating field-level inference as a powerful approach to extracting cosmological information...

17. Fast tools for multi-probe forward modelling

Laura Reymond (ETH Zürich)

09/09/2026, 14:45

Oral Talk

Simulation-based inference is going to be play a key role in the upcoming cosmological analyses. For this reason, I will present an end-to-end pipeline designed for multi-probe simulation-based inference.

I first present CosmoGridV1, a suite of lightcone simulations for map-level cosmological inference. The simulation suite spans the wCDM model and includes a fiducial cosmology with 200...

47. Deep learning insights into non-universality in the halo mass function

Ningyuan (Lillian) Guo (Royal Holloway, University of London)

09/09/2026, 15:00

Oral Talk

The abundance of dark matter halos is a key cosmological probe in forthcoming surveys. Placing tight constraints requires modelling the halo mass function to at least percent-level accuracy over a wide cosmological parameter space. However, a theoretical understanding of what is required for such accurate modelling is incomplete, limiting the generalisability of existing halo mass function...

39. How much cosmology is encoded in galaxies?

Mrs Natalí Soler Matubaro de Santi

09/09/2026, 15:15

Oral Talk

Galaxies are the primary tracers of the large-scale structure of the Universe and are traditionally used through summary statistics such as correlation functions and power spectra to constrain cosmological models. However, galaxies themselves are complex systems whose spatial distribution, internal properties, and environments may encode additional cosmological information beyond these...

96. Baojiu Li: Numerical simulations for LSS x CMB analysis

Baojiu Li

09/09/2026, 16:30

40. Emulator development efforts within Euclid

Ivan Sladoljev (Royal Holloway)

09/09/2026, 17:00

Oral Talk

In this talk I will present an overview of current cosmological emulator development efforts in Euclid, aimed at enabling efficient and accurate parameter inference in the era of high-precision cosmology. Cosmological emulators are surrogate models trained on high-fidelity theoretical predictions from Boltzmann solvers, or from numerical simulations. Once trained, these models can reproduce...

64. Forward-Modelling Galaxy Surveys: A Robust Analytic Model for Projected Galaxy Bias

Maximilian von Wietersheim-Kramsta (Durham University)

09/09/2026, 17:15

Oral Talk

How can we accurately test extensions to ΛCDM when unmodelled baryonic dynamics obscure the galaxy-halo connection? While galaxies are vital tracers of large-scale structure, residual uncertainties in their distribution often obstruct cosmological inference, especially in two-dimensional projections where halo-level information is incomplete. I present an analytic galaxy bias model in...

7. Simulation-based emulators for DESI galaxy clustering

Enrique Paillas (University of Arizona)

09/09/2026, 17:30

Oral Talk

I will present a pipeline to emulate galaxy clustering statistics at the two-point level and beyond, down to the non-linear regime, including many alternative summary statistics for which no complete analytic models exist in the literature, including the wavelet scattering transform, density-split clustering, Minkowski functionals, void statistics, and more. Our theory models are based on...

45. Field Level Inference: Bayesian Hierarchical Models for Next-Generation Large-Scale Structure Analysis

Dr Arthur Loureiro (Stockholm University)

09/09/2026, 17:45

Oral Talk

Field-level inference – the direct statistical reconstruction of cosmological fields from observational data – is emerging as a transformative paradigm for next-generation galaxy surveys like Euclid, LSST, and DESI. Unlike traditional summary statistics, this approach infers latent fields (e.g. matter density, weak-lensing, cmb convergence) and their uncertainties directly, leveraging the full...