A Beautyful 3D-Model – Design of a Belle II Detector Model for 3D Printing

• Thomas Kuhr (LMU)
• Johanna Häusler (LMU)

We propose to design two models of the Belle II detector at scales 1:15 and 1:150 that can be used for 3D printing. The models should be made publicly available so that Belle II institutes in Munich and around the world can print their own 3D models for visualization, teaching, and outreach. A prototype of each model should be printed to demonstrate the feasibility and contribute to the educational and outreach activities of ORIGINS.

FPGA-based muon veto trigger with requalified ATLAS MDT chambers for low background experiments

• Sandra Kortner (MPP)
• Michele Mancuso (MPP)
• Federica Petricca (MPP)
• Davide Cieri (CERN)
• Alexander Langenkämper (MPP)

Low background experiments (LBE) require a muon veto system to tag and reject muon-induced particles. As of today, veto systems are realized with plastic scintillators, which are very compact but with limited efficiency or, big water tanks instrumented with PMTs, with high efficiency but large and expensive infrastructure. The proposed project foresees the implementation of a proof-of-principle setup of dismissed ATLAS muon trackers to realize a muon veto system for LBE. The test-setup will be implemented on one of the above-ground cryogenic facilities of the CRESST experiment at the MPP in Munich. The setup will also serve as a proof-of-concept of a standalone drift-tube FPGA-based hardware muon track finder for future collider experiments, where the usage of fast gaseous detectors might not be guaranteed. The implementation of the muon tracker into the test-setup consists of a modification of the chambers and the mounting infrastructure and, an electronics and software development.

“One for all” – How an extension to the ODSL computing will support the entire ORIGINS cluster

• Rasmus Ørsøe (TUM)
• Philipp Eller (TUM, ODSL Fellow)
• Oliver Schulz (MPP, ODSL Fellow)
• Martin Ha Minh (TUM, ODSL)
• Lukas Heinrich (TUM, ODSL Coordinator)

Since its installation, the ODSL compute server has enabled numerous contributions from ORIGINS to the scientific community. It serves as an informal but instrumental testbed complementary with clusters like C2PAP for new methods in statistics and artificial intelligence. To be able to compete within machine learning research in modern physics, we propose an additional server for the next generation of scientific challenges where nothing short of bleeding-edge hardware is sufficient. An example is the research of the authors of this proposal: We intend to develop the next generation of neutrino event reconstruction algorithms. We have shown that our methods using state-of-the-art Graph Neural Networks can massively outpace algorithms based on traditional methods. Upgraded hardware will allow us to explore new techniques that will shape the future of physics. Such novel methods can help find evidence of neutrino emission where there now is none and turn current evidence into discoveries.

Full Retrieval of Exoplanetary Spectra in Native Resolution

• Karan Molaverdikhani (LMU)
• Barbara Ercolano (LMU)

One of the long-lasting questions in the exoplanetary science is if and how atmospheric properties can be linked to planet formation (Turrini+ 2014). Measuring the deuterium-to-hydrogen ratio in water (HDO/H2O) in the atmosphere of planets is believed to be a critical step toward addressing this question (Altwegg+ 2014). In this proposal we report the first detection of HDO in JWST’s recent observations, which awaits confirmation by a suit of full retrievals of exoplanetary spectra in JWST’s native resolution. Performing such an extensive and thorough analysis demands a dedicated computational server, which is the focus of this proposal.

SDD-in-HPGe - Towards a background-free X-ray detector

• Susanne Mertens (TUM)
• Christoph Wiesinger (TUM)

A discovery of solar axions with IAXO requires a level of background that is unprecedented at shallow depth. We propose a novel all-semiconductor active-shield detector that has the potential to tackle this challenge and bring deep-underground background performance to surface experiments. It consists of a single-pixel SDD operated inside a well-type HPGe detector. We apply for seed funding to procure a custom well-type HPGe detector, in order to prove this innovative detector concept.