Using the high-intensity radiation of the European X-ray Free-Electron Laser, we recently succeeded to excite the sharpest atomic transition in the hard X-ray range, the 12.4 keV nuclear resonance of the stable isotope Scandium-45 [1]. With its extremely narrow natural linewidth of 1.4 femto-eV, it opens not only new possibilities for the development of a nuclear clock, but also for research linked to the foundations of physics, such as time variations of the fundamental constants, the search for dark matter as well as probing the foundations of relativity theory. Furthermore, our experiment demonstrates the great potential of self-seeding X-ray lasers with high pulse rates as a promising platform for the spectroscopy of extremely narrow-band nuclear resonances. The next steps towards a nuclear clock based on Scandium-45 require a further increase of the spectral photon flux using improved X-ray laser sources at 12.4 keV and the development of frequency combs reaching up to this energy. [1] Yuri Shvyd’ko et al., Nature 622, 471 (2023)

This Friday, the 26th, from 12 to 2 pm, Kilian Leutner and Thomas Winkler will give a test run of the "Intermag 2024 Hands-on session: AI in magnetism." We will give an introductory talk (~30 minutes) about AI in magnetism and more concrete information about our recent project: "AI-accelerated detection of spin structures in Kerr-microscopy data." Afterward, we will ask you to open your laptops and participate actively in the AI revolution. We will guide you through our repository. The goal is that participants can infer data and even train models on their own at the end of the session. If you are interested, feel free to have a look at our paper and official repository: Paper: Labrie-Boulay et al., Phys. Rev. Appl. 21, 014014 (2024): https://doi.org/10.1103/PhysRevApplied.21.014014 Repository (v2.0): Winkler et al., Zenodo repository: https://doi.org/10.5281/zenodo.10997175 If you would like to join, please send an email to Kilian Leutner ( kileutne@students.uni-mainz.de ) by Thursday. Kilian Leutner will eventually send around links for a smaller data repository, install instructions this week for the session. You can participate in this session at the Physics building in Mainz in the “Medienraum” (03-431), or you can access the session via Teams using the following link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_MTRhNjI4ZWYtNDkyMC00YzQ1LWIyNzgtMzkxNjAzYjNjYjY2%40thread.v2/0?context=%7b%22Tid%22%3a%2251aa2b30-c9fa-40db-b91a-3a53a8a08d85%22%2c%22Oid%22%3a%22e50b859d-212d-4ce0-b8ca-82e26bd02e43%22%7d . (As this is a test talk, we are also happy about some feedback)

This Friday, the 26th, from 12 to 2 pm, Kilian Leutner and Thomas Winkler will give a test run of the "Intermag 2024 Hands-on session: AI in magnetism." We will give an introductory talk (~30 minutes) about AI in magnetism and more concrete information about our recent project: "AI-accelerated detection of spin structures in Kerr-microscopy data." Afterward, we will ask you to open your laptops and participate actively in the AI revolution. We will guide you through our repository. The goal is that participants can infer data and even train models on their own at the end of the session. If you are interested, feel free to have a look at our paper and official repository: Paper: Labrie-Boulay et al., Phys. Rev. Appl. 21, 014014 (2024): https://doi.org/10.1103/PhysRevApplied.21.014014 Repository (v2.0): Winkler et al., Zenodo repository: https://doi.org/10.5281/zenodo.10997175 If you would like to join, please send an email to Kilian Leutner ( kileutne@students.uni-mainz.de ) by Thursday. Kilian Leutner will eventually send around links for a smaller data repository, install instructions this week for the session. You can participate in this session at the Physics building in Mainz in the “Medienraum” (03-431), or you can access the session via Teams using the following link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_MTRhNjI4ZWYtNDkyMC00YzQ1LWIyNzgtMzkxNjAzYjNjYjY2%40thread.v2/0?context=%7b%22Tid%22%3a%2251aa2b30-c9fa-40db-b91a-3a53a8a08d85%22%2c%22Oid%22%3a%22e50b859d-212d-4ce0-b8ca-82e26bd02e43%22%7d . (As this is a test talk, we are also happy about some feedback)