Cosmologie

In Memory -- George Fitzgerald Smoot, III

The APC Laboratory mourns the loss of George Smoot, who passed away at his home in Paris. George Smoot was one of the pioneers of observations of the cosmic microwave background (CMB), which revolutionized our understanding of the cosmos and placed cosmology on a firm experimental footing. (Credits photo: Peter Badge/Lindau Nobel Laureate Meetings)

Introduction à l'analyse des données du fond diffus cosmologique

Ce stage offre une initiation aux techniques d'analyse des données astrophysiques liées au fond diffus cosmologique (CMB). Il permettra à l’étudiant.e de se familiariser avec les méthodes utilisées pour explorer et interpréter les informations contenues dans ces observations provenant de l'Univers primordial. Le projet se concentrera en particulier sur l’optimisation des techniques dites de séparation de composantes, qui distinguent le CMB des contaminations galactiques.

Creating Probabilistic Catalogues from Deblended Galaxies

Dans le cadre de la préparation des données du télescope LSST de l’observatoire Vera C. Rubin qui fear sa première lumière en 2025, l’un des défis majeurs est le deblending des galaxies, c’est-à-dire la séparation des contributions lumineuses de galaxies superposées dans les images astronomiques.

Estimating galaxy cluster masses by combining multi-instruments data

According to the standard cosmological model, about 95% of the Universe's energy content is in two unknown forms: dark energy, responsible for accelerating cosmic expansion, and dark matter, the predominant form of matter. Understanding these components is one of the key challenges in modern physics and cosmology.

At the crossroad of large galaxy surveys : developing cosmic shear analysis with Bayesian neural networks for Dark Energy studies with the Vera Rubin Observatory LSST

During the last decade, cosmology has entered a precision era, leading to the prevalence of the standard cosmological model, ΛCDM. Nevertheless, the main ingredient of this model, the so-called dark energy, remains mysterious while dominating the energy budget of the Universe. Its comprehension is therefore one of the main goals in this domain.

NOVEL TECHNIQUES FOR DESIGN AND OPTIMIZATION OF NEXT GENERATION, FOREGROUND-ROBUST, SPACE-BASED CMB MISSIONS AND THEIR DATA ANALYSIS

Observations of the Cosmic Microwave Background fluctuations provide a unique view onto the early Universe and the fundamental laws of physics at the most extreme energies (typically twelve orders of magnitude above what could be achieved at the Large Hadron Collider). The successful European-led space mission Planck provided the ultimate characterization of the CMB fluctuations in total intensity and a robust detection of some of the polarization signal.

Introduction à l'analyse des données du fond diffus cosmologique

Ce stage offre une initiation aux techniques d'analyse des données astrophysiques liées au fond diffus cosmologique (CMB). Ce stage permet à l’étudiant.e de se familiariser avec les méthodes utilisées pour explorer et interpréter les informations contenues dans ces données, qui proviennent de l'Univers primordial. Il couvre des aspects tels que le traitement des données, les outils statistiques et informatiques, ainsi que l'utilisation de logiciels spécialisés pour analyser les observations du CMB.

Participation in the data analysis of the first observations from the Simons Observatory Small Aperture Telescopes.

The student will participate in the exploitation of the parametric map-based pipeline developed during the first internship, applied to the Simons Observatory data sets, with the goal of constraining the CMB E-modes on the largest angular scales. The student will work and collaborate closely with the rest of the SciPol team at APC. He/She will base his/her implementations using the JAX-powered framework that is being developed, opening the student to High Performance Computing and the use of GPUs. 
Cosmologie