Lumière (Latest Upgraded Methodologies for the Investigation of X-Ray Emitting sources)

Liste des Contributions

6. Challenges of extended sources analysis with XRISM

François MERNIER (IRAP)

12/01/2026 10:30

With its 5 eV resolution (a factor >20 compared to CCD spectrometers), the Resolve instrument onboard XRISM marks the beginning of the high-resolution X-ray spectroscopy era. This achievement is particularly transformative for extended sources, where the non-dispersive characteristics of Resolve (and future micro-calorimeters such as NewAthena/X-IFU) allow for the first time to probe the...

13. XRISM analysis of supernova remnant Cassiopeia A: Bayesian study with UltraSPEX

Manan Agarwal (University of Amsterdam)

12/01/2026 12:15

Cassiopeia A (Cas A) is the youngest known galactic core-collapse supernova remnant (SNR) and is perhaps the best-studied SNR in X-rays. Cas A was observed at two different locations by XRISM, the X-Ray Imaging and Spectroscopy Mission, for more than a total of 350 ks. This rich dataset has revealed unprecedented details in elemental abundances, their dynamics, and plasma properties. In this...

12. First look at Vela X-1 with XRISM

Camille Diez (ESA/ESAC)

13/01/2026 10:00

The spectral and timing behaviour of neutron star high-mass X-ray binaries (HMXBs) offers a unique opportunity to investigate accretion onto compact objects and the wind structures of massive stars. In particular, understanding the X-ray emission from neutron stars is a critical topic of research for current and future astrophysical studies, as highlighted by its prominence in the science...

8. Synthetic X-ray Spectra from 3D MHD Simulations: The Case of SN 1987A

Vincenzo Sapienza (INAF - Osservatorio Astronomico di Palermo)

13/01/2026 10:15

We present an in-house developed tool for synthesizing high-resolution thermal X-ray spectra from three-dimensional magneto-hydrodynamic (MHD) simulations of supernova remnants (SNR). Our approach translates directly the physical quantities predicted by MHD models, such as temperature, density, ionization timescale, and velocity fields, into observable spectra for current and future...

5. Quantifying the Spectacular - Applying Power-Spectral Analysis to X-ray Images of Supernova Remnants

Martin Mayer (Dr. Remeis-Observatory Bamberg (ECAP/FAU))

13/01/2026 11:30

Since the advent of high-resolution X-ray imaging with modern CCD detectors, multi-band images of bright supernova remnants (SNRs) have stunned us with their beauty. While the spectral properties of such SNRs have been studied in detail with complex models, the spatial morphologies are frequently described qualitatively, but not quantified.

In this talk, I will discuss the potential of...

14. Dendrogram clustering and quantum extreme learning for the study of supernova remnants images and optically-thin X-ray spectra

Marco Miceli (Department of Physics and Chemistry E. Segrè, University of Palermo)

13/01/2026 11:45

I report on preliminary results from a collaborative project between the Supernova Remnants and Cosmic Ray Group, the Observatory of Complex Systems Group, and the Quantum Theory Group at the University of Palermo.
By adopting different dendrogram-based techniques, we developed a tool to quantitatively measure the similarities among different narrow-band images of a supernova remnant and of...

3. Lessons learnt on background modeling and MCMC spectral fitting in the CHEX-MATE project

Dr Mariachiara Rossetti (INAF - IASF Milano)

13/01/2026 12:00

The Cluster HEritage project with XMM-Newton - Mass Assembly and Thermodynamics at the Endpoint of structure formation (CHEX-MATE) is a multi-year Heritage program focused on studying 118 galaxy clusters, identified as the ultimate products of structure formation. This extensive analysis, encompassing over 6 Msec of XMM-Newton data, recently concluded with the application of a...

11. A Variational Auto-Encoder to classify & explore the XMM-Newton archive

Erwan Quintin (European Space Agency)

13/01/2026 12:15

Ever since X-ray observatories have started to probe the Universe, one of the objectives has been to classify the observed sources. Indeed, the X-ray sky is extremely diverse, with emission coming from stellar atmospheres, to super-massive black holes, up to galaxy clusters. It remains challenging to conduct extensive studies of all the detected sources due to the considerable volume of data...

18. Investigating Deviations from Self-Similarity in a Sample of Massive Galaxy Clusters

M. Edoardo Baraldi (CEA-Paris Saclay)

13/01/2026 12:30

In a simple cold dark matter scenario, galaxy clusters are formed by hierarchical gravitational collapse of the dominant dark matter component. To the first order, this process is self-similar and scale-free. However, it is known that the thermodynamic properties of the hot gas deviate from those predicted by simple self-similar models, presumably due to the influence of non-gravitational...

10. A Simulation Framework for Synthetic X-ray Observations with NewAthena

Iacopo Bartalucci (INAF-IASF Milano)

14/01/2026 11:00

We present a simulation framework developed to evaluate the capability of the NewAthena mission, but easily adaptable to other missions as well, to detect and characterize diffuse X-ray emission, focusing on reproducing realistic instrument performance and consolidated X-ray analysis tools.

Synthetic observations were generated starting from map simulations, which were converted into mock...

7. Pinpointing pure-metal ejecta X-ray emission in supernova remnants with NewAthena

Emanuele Greco (INAF - Osservatorio Astronomico di Palermo)

14/01/2026 11:15

Spectral analysis of X-ray emission from ejecta in supernova remnants (SNRs) is hampered by the low spectral resolution of CCD detectors, which typically creates a degeneracy between the best-fit values of chemical abundances and the plasma emission measure. The combined contribution of shocked ambient medium and ejecta to the emerging X-ray emission further complicates the determination of...

9. Using Simulation Based Inference for inferring turbulence in galaxy clusters

Alexeï MOLIN (IRAP)

14/01/2026 11:30

The X-IFU on board NewAthena will allow precise mapping of turbulent velocity fields inside the intra-cluster medium. The inference of the properties of the underlying turbulence field needs to take into account sample variance, the fact that each field is a unique finite sized realization. Simulation Based Inference is well suited to tackle this problem. In this talk, I will present how I...

2. Simulation-based inference for X-ray spectral fitting

Didier BARRET (IRAP)

14/01/2026 11:45

In this paper, I will introduce simulation-based inference for X-ray spectral fitting, emphasizing on its application to the challenging newAthena mock X-IFU high-resolution X-ray spectra. Training a neural density estimator on dimension reduced spectra, computed either through a compact and light encoder or an embedding network enables to quickly derive posterior approximates. I will then...

16. Statistical Aspects of X-ray Spectral Analysis and BXA tutorial

Johannes Buchner (MPE), Peter Boorman (MPE)

15/01/2026 09:30

Fitting models to X-ray spectra is a fundamental technique to infer information about the hot and energetic universe. Finding credible parameter ranges for a given spectral model and dataset(s) however is not a simple task. In this workshop, we will first present the recommended practices for fitting models to X-ray spectra, including an overview of the instrumentation response, the linear...

17. A simulation-based likelihood for X-ray surveys

Johannes Buchner (MPE)

16/01/2026 11:30

How black holes accrete to super-massive monsters in centres of nuclear galaxies and in this luminous process impact galaxies is a key open question in galaxy evolution. The puzzle has remained in many pieces: Selection effects confuse, and most studies focus on two or three parameters. Yet, these indicate a multi-variate, probabilistic link between AGN accretion, obscuration, and the host...

15. SUSHI science

David Bogensberger (CEA Saclay)

16/01/2026 12:00

SUSHI is a new algorithm for fitting the spatial distribution of spectral parameters within extended X-ray emitting structures. In this talk, I will present two examples of the implementation of SUSHI to pulsar wind nebulae and AGN jets. Not only does SUSHI identify trends that were previously hidden, it also defines regions of particular interest. In this way, it allows us to investigate the...

21. Summary and conclusions

Dr Fabio ACERO (AIM, CEA, CNRS, Universite Paris-Saclay, Universite Paris)

16/01/2026 15:00

19. Registration and welcome coffee