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HIDSS-0002
DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter
| Coordinator | Rohringer, Nina ; Rarey, Matthias ; Le Borne, Sabine |
| Grant period | 2019 - 2025 |
| Funding body | Helmholtz Gemeinschaft Deutscher Forschungszentren |
| HGF | |
| Further information: | Description |
| Identifier | G:(DE-HGF)2019_IVF-HIDSS-0002 |
⇧ Impuls- und Vernetzungsfonds ⇧
Note: ‘Data Science’ is the science of extracting knowledge from typically large amounts of data. The increasing level of automatization and the increasing number and resolution of sensors in scientific experiments result in large, heterogeneous and highly complex data collections. Therefore, Data Science is seen as a key technology in modern and future natural sciences. Data intensive research in experimental and theoretical science at the Forschungscampus Hamburg-Bahrenfeld requires beyond off-the-shelf software solutions for data management, processing and analysis. Tailored or even completely new computational data science methods are indispensable. At the same time, the challenges ahead will foster new innovative ideas in computer science and applied mathematics. To develop these methods, scientists have to be highly skilled in the corresponding physics domain and computer science alike. The Data Science in Hamburg – Helmholtz Graduate School for the Structure of Matter (DASHH) will be established to address this highly interdisciplinary need. DASHH bundles competences of scientists with high international reputation in basic research for the structure of matter, computer science and applied mathematics in Hamburg in a new and unique fashion. The graduate school covers data challenges from application fields such as structural biology, particle physics, material science and ultrafast X-ray science. These data challenges have in common that they cannot be addressed with standard computational methods, but require modern data science techniques instead. Several areas from computer science and mathematics play important roles, especially data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimization and simulation, software engineering and automation and control systems.All known publications ...
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Preprint
A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems
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Journal Article
Search for high-mass resonances in a final state comprising a gluon and two hadronically decaying W bosons in proton-proton collisions at $ \sqrt{s} $ = 13 TeV
Journal of high energy physics 02(2), 199 (2025) [10.1007/JHEP02(2025)199]
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Measurement of light-by-light scattering and the Breit-Wheeler process, and search for axion-like particles in ultraperipheral PbPb collisions at $\sqrt{{s}_{\text{NN}}}$ = 5.02 TeV
Journal of high energy physics 08(8), 006 (2025) [10.1007/JHEP08(2025)006]
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Search for jet quenching with dijets from high-multiplicity pPb collisions at $\sqrt{{s}_{\text{NN}}}$ = 8.16 TeV
Journal of high energy physics 07(7), 118 (2025) [10.1007/JHEP07(2025)118]
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Observation of WZ$\gamma$ production and constraints on new physics scenarios in proton-proton collisions at $\sqrt{s}$ = 13 TeV
Physical review / D 112(1), 012009 (2025) [10.1103/cm24-665b]
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Search for medium effects using jet axis decorrelation in inclusive jets from PbPb collisions at $\sqrt{{s}_{\text{NN}}}$ = 5.02 TeV
Journal of high energy physics 06(6), 120 (2025) [10.1007/JHEP06(2025)120]
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Journal Article
Search for bosons of an extended Higgs sector in b quark final states in proton-proton collisions at $ \sqrt{\textrm{s}} $ = 13 TeV
Journal of high energy physics 06(6), 144 (2025) [10.1007/JHEP06(2025)144]
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Journal Article
Measurements of the Higgs boson production cross section in the four-lepton final state in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
Journal of high energy physics 05(5), 079 (2025) [10.1007/JHEP05(2025)079]
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Preprint
Search for dark matter produced in association with one or two top quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV
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Journal Article
Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at sqrt(s) = 13.6 TeV
Journal of Instrumentation 20(04), P04021 - (2025) [10.1088/1748-0221/20/04/P04021]
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All known publications ...
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