Publications
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Search response: 8160 publications match your query. Listing starts with latest publication first: (411 - 420)
MPP-2023-364 Studies on remoTES-based Cryogenic Calorimeters for the COSINUS Experiment, Kumrie Shera, TU München, München (2023-06), (External full text link).
[COSINUS], [Thesis]
MPP-2023-363 All-order celestial OPE from on-shell recursion, Lecheng Ren, Anders Schreiber, Atul Sharma, Diandian Wang, JHEP 10 (2023) 080, arxiv:2305.11851 (abs), (pdf), (ps), (External full text link), inSPIRE entry.
[Field Theory], [Article]
MPP-2023-362 Slow Pion Identification using the Pixel Detector of Belle II, Mariangela Varela, LMU, München (2023-09-07), (External full text link).
[Belle II], [Thesis]
MPP-2023-361 Developing a Displaced Vertex Trigger for Dark Matter Searches at the Belle II Experiment, Elia Schmidt, LMU, München (2023-03), (External full text link).
[Belle II], [Thesis]
MPP-2023-360 A universal approach for particle identification at Belle II using neural networks, Xavier Simó, TU München, München (2023-11-30), (External full text link).
[Belle II], [Thesis]
MPP-2023-359 Direct detection of the self-modulation instability of a long relativistic proton bunch in the AWAKE Experiment, Karl Rieger, TUM München, München (2023-11-08), (External full text link).
[AWAKE], [PhD-Thesis]
MPP-2023-358 Recent time-dependent measurements of 𝑪𝑷 violation at Belle II, Oskar P. Tittel, (Full text), PoS 449, EPS-HEP 2023 (2023) 345, (External full text link).
[Belle II], [Conference-Paper]
MPP-2023-357 Precision LHC phenomenology via NNLO predictions matched to parton showers, Silvia Zanoli, (Full text), TU München, München (2023-09-20), (External full text link), inSPIRE entry.
[Phenomenology of High Energy Physics], [PhD-Thesis]
MPP-2023-355 A goodness-of-fit test based on a recursive product of spacings, Philipp Eller, Lolian Shtembari, J.Inst. 18 (2023) P03048, (External full text link).
[Statistical Methods], [Article]
MPP-2023-354 On non-parametric tests for discovery and limit setting in one and multiple dimensions, Lolian Shtembari, TUM, München (2023-07-28), (External full text link).
[Statistical Methods], [PhD-Thesis]