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arxiv.org arXiv
arxiv.org › abs › 1804.08586v1
(Translation from the original French:) We characterize the rings $A$ and groups $G$ for which the group rings $A [G]$ are local, semi-local, or left perfect. The recent work of M. P. Malliavin and J....
arxiv.org arXiv
arxiv.org › abs › 2202.12428v2
Recently, four remarkably straight very brief flashes of light were captured on video in Perth, Australia within 0.5s of one another. Straight lightning was recently identified as a prediction of macr...
arxiv.org arXiv
arxiv.org › abs › astro-ph › 0703546v2
The most common way to simplify extensive Monte-Carlo simulations of air showers is to use the thinning approximation. We study its effect on the physical parameters reconstructed from simulated showe...
arxiv.org arXiv
arxiv.org › abs › 1502.00925v3
We present an MC@NLO-like matching of next-to-leading order QCD calculations with the Nagy-Soper parton shower. An implementation of the algorithm within the HELAC-DIPOLES Monte Carlo generator is use...
arxiv.org arXiv
arxiv.org › abs › 2104.10043v1
Guy Boistel questions the Sun / variable stars analogy at the heart of the work of Dutch astronomer Albert Brester. The problem of interdisciplinarity appears in the objectification of the Sun at the ...
arxiv.org arXiv
arxiv.org › abs › 0809.2751v1
AIMS: We wish to study the spectral dependence of the radio emission from cosmic-ray air showers around 100 PeV (1017 eV). METHODS: We observe short radio pulses in a broad frequency band with the dip...
arxiv.org arXiv
arxiv.org › abs › 2506.04418v2
Multi-hunk bugs, where fixes span disjoint regions of code, are common in practice, yet remain underrepresented in automated repair. Existing techniques and benchmarks pre-dominantly target single-hun...
arxiv.org arXiv
arxiv.org › abs › astro-ph › 0205251v1
The KASKADE and CORSIKA air shower generators are compared to the data collected by MASS2 balloon experiment in 1991. The test of longitudinal profile for proton, helium and muon flux production provi...
arxiv.org arXiv
arxiv.org › abs › 2008.06856v4
Deep neural networks (DNNs) perform well at classifying inputs associated with the classes they have been trained on, which are known as in distribution inputs. However, out-of-distribution (OOD) inpu...
arxiv.org arXiv
arxiv.org › abs › 2307.00089v1
Soft, growing inflated beam robots, also known as everting vine robots, have previously been shown to navigate confined spaces with ease. Less is known about their ability to navigate three-dimensiona...