A5036820529- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- Particle Detector Development and Performance
- Medical Imaging Techniques and Applications
- Dark Matter and Cosmic Phenomena
- Astronomy and Astrophysical Research
- X-ray Spectroscopy and Fluorescence Analysis
- Radiomics and Machine Learning in Medical Imaging
- Nuclear Physics and Applications
- Advanced X-ray and CT Imaging
- Calibration and Measurement Techniques
- Atmospheric and Environmental Gas Dynamics
- Astronomical Observations and Instrumentation
- Metabolomics and Mass Spectrometry Studies
- Gaussian Processes and Bayesian Inference
- Astrophysics and Cosmic Phenomena
- Advanced X-ray Imaging Techniques
- Astrophysical Phenomena and Observations
- Climate variability and models
- Meteorological Phenomena and Simulations
- Superconducting and THz Device Technology
- Pulsars and Gravitational Waves Research
Institut de Recherche en Astrophysique et Planétologie
2021-2025
Université de Toulouse
2022-2024
Centre National de la Recherche Scientifique
2022-2024
Université Toulouse III - Paul Sabatier
2022-2023
Turbulent processes at work in the intracluster medium perturb this environment, displacing gas, and creating local density fluctuations that can be quantified via X-ray surface brightness fluctuation analyses. Improved knowledge of these phenomena would allow for a better determination mass galaxy clusters, as well understanding their dynamic assembly. In work, we aim to set constraints on structure turbulence using fluctuations. We seek consider stochastic nature observable constrain...
Context. Neural networks are being extensively used for modeling data, especially in the case where no likelihood can be formulated. Aims. Although of X-ray spectral fitting is known, we aim to investigate ability neural recover model parameters and their associated uncertainties compare performances with standard fitting, whether following a frequentist or Bayesian approach. Methods. We applied simulation-based inference posterior estimation (SBI-NPE) spectra. trained network simulated...
The intra-cluster medium is prone to turbulent motion that will contribute the non-thermal heating of gas, complicating use galaxy clusters as cosmological probes. Indirect approaches can estimate intensity and structure motions by studying associated fluctuations in gas density X-ray surface brightness. In this work, we aim constrain occurring CHEX-MATE sample obtain a detailed view their properties large population clusters. To do so, simulation-based approach parameters power spectrum...
Turbulent gas motions are expected to dominate the non-thermal energy budget of intracluster medium (ICM). The measurement pressure fluctuations from high angular resolution Sunyaev-Zel'dovich imaging opens a new avenue study ICM turbulence, complementary X-ray density fluctuation measures. We develop methodological framework designed optimally extract information on power spectrum statistics, and publicly release associated software named PITSZI. apply this tool NIKA data merging cluster...
It is generally taken for granted that our Universe free of antimatter objects and domains. This certitude has recently been challenged by the possible detection antihelium nuclei AMS-02. Should observation be confirmed, existence nearby antistars would make a plausible hypothesis to explain origin antinuclei. In this paper, we use 10-year Fermi Large Area Telescope (LAT) gamma-ray source catalog set constraints on abundance around Sun. We identify in 14 antistar candidates not associated...
Context. Inferring spectral parameters from X-ray data is one of the cornerstones high-energy astrophysics, and achieved using software stacks that have been developed over last 20 years more. However, as models get more complex spectra are obtained with higher resolutions, these established solutions become feature-heavy, difficult to maintain less efficient. Aims. We present jaxspec , a Python package for performing this task quickly robustly in fully Bayesian framework. Based on JAX...
Neural networks are being extensively used for modelling data, especially in the case where no likelihood can be formulated. Although of X-ray spectral fitting, is known, we aim to investigate neural ability recover model parameters but also their associated uncertainties, and compare its performance with standard whether following a frequentist or Bayesian approach. We apply Simulation-Based Inference Posterior Estimation (SBI-NPE) spectra. train network simulated spectra, then it learns...
Context. Inferring spectral parameters from X-ray data is one of the cornerstones high-energy astrophysics, and achieved using software stacks that have been developed over last twenty years more. However, as models get more complex spectra reach higher resolutions, these established solutions become feature-heavy, difficult to maintain less efficient. Aims. We present jaxspec, a Python package for performing this task quickly robustly in fully Bayesian framework. Based on JAX ecosystem,...
The most massive halos of matter in the Universe grow via accretion and merger events throughout cosmic times. These violent processes generate shocks at many scales induce large-scale bulk turbulent motions. inject kinetic energy large scales, which is transported to viscous dissipation contributing overall heating virialisation halo, acting as a source non-thermal pressure intra-cluster medium. Characterizing physical properties these gas motions will help us better understand assembly...
It is generally taken for granted that our Universe free of antimatter objects and domains. This certitude has recently been challenged by the possible detection anti-helium nuclei AMS-02. Should observation be confirmed, existence nearby antistars would make a plausible hypothesis to explain origin antinuclei. In this paper we use 10-years Fermi Large Area Telescope (LAT) gamma-ray source catalog set constraints on abundance around Sun. We identify in 14 antistar candidates not associated...
Turbulent processes at work in the intracluster medium perturb this environment, displacing gas, and creating local density fluctuations that can be quantified via X-ray surface brightness fluctuation analyses. Improved knowledge of these phenomena would allow for a better determination mass galaxy clusters, as well understanding their dynamic assembly. In work, we aim to set constraints on structure turbulence using fluctuations. We seek consider stochastic nature observable constrain...