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    Search response: 7995 publications match your query. Listing starts with latest publication first: (281 - 290)

    MPP-2023-323 Production and Testing of Prototype Resistive Plate Chambers, Timur Turkovic, (Full text), TUM, München (2023-09-18).
    [ATLAS], [Thesis]
    MPP-2023-322 Search For Charged Higgs Bosons In H± → W ±H → l±νbb Decays At The Large Hadron Collider, Elias Hanser, (Full text), TUM, München (2023).
    [ATLAS], [Bachelor-Thesis]
    MPP-2023-321 Study of the Higgs boson reconstruction in the 4-lepton decay channel for early Run 3 ATLAS data taking, Sarah Mavie Metz, (Full text), TUM, München (2023).
    [ATLAS], [Bachelor-Thesis]
    MPP-2023-320 Optimization of the Search for Charged Higgs Bosons with the ATLAS detector at the LHC, Joseph Rakich, (Full text), TUM, München (2023).
    [ATLAS], [Bachelor-Thesis]
    MPP-2023-319 Study of the Influence of Signal Pile-up on the Spatial Resolution of Muon Drift-Tube Chambers, Dilan Pocuc, (Full text), TUM, München (2023).
    [ATLAS], [Bachelor-Thesis]
    MPP-2023-318 iDMEu: An initiative for Dark Matter in Europe and beyond, Marco Cirelli, Caterina Doglioni, Federica Petricca, arxiv:2312.14192 (abs), (pdf), (ps), inSPIRE entry.
    [Astroparticle Physics], [Conference-Paper]
    MPP-2023-317 Optimal operation of cryogenic calorimeters through deep reinforcement learning, G. Angloher, S. Banik, G. Benato, A. Bento, et al., arxiv:2311.15147 (abs), (pdf), (ps), inSPIRE entry.
    [CRESST], [Article]
    MPP-2023-316 Detector development for the CRESST experiment, G. Angloher, S. Banik, G. Benato, A. Bento, et al., arxiv:2311.07318 (abs), (pdf), (ps), inSPIRE entry.
    [CRESST], [Conference-Paper]
    MPP-2023-314 Precision measurement of 65Zn electron-capture decays with the KDK coincidence setup, L. Hariasz, P.C.F. Di Stefano, M. Stukel, B.C. Rasco, et al., Nuclear Data Sheets 189 (2023) 224-234, arxiv:2308.03965 (abs), (pdf), (ps), inSPIRE entry.
    [Experimental Physics], [Article]
    MPP-2023-313 High-Dimensional Bayesian Likelihood Normalisation for CRESST's Background Model, G. Angloher, S. Banik, G. Benato, A. Bento, et al., arxiv:2307.12991 (abs), (pdf), (ps), inSPIRE entry.
    [CRESST], [Article]

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