Zobrazeno 1 - 10
of 492
pro vyhledávání: '"SCHMELLING, MICHAEL"'
Autor:
Schmelling, Michael
Publikováno v:
Nuclear Inst. and Methods in Physics Research, A 1056 (2023) 168566
Regularisation allows one to handle ill-posed inverse problems. Here we focus on discrete unfolding problems. The properties of the results are characterised by the consistency between measurements and unfolding result and by the posterior response m
Externí odkaz:
http://arxiv.org/abs/2203.09579
Autor:
Alameddine, Jean-Marco, Albrecht, Johannes, Alvarez-Muniz, Jaime, Alves Jr, Antonio Augusto, Arrabito, Luisa, Baack, Dominik, Bernlöhr, Konrad, Bleicher, Marcus, Bregeon, Johan, Carrere, Mathieu, Dembinski, Hans, Elfner, Hannah, Elsässer, Dominik, Engel, Ralph, Fan, Hu, Fedynitch, Anatoli, Heck, Dieter, Huege, Tim, Kampert, Karl-Heinz, Karastathis, Nikolaos, Nellen, Lukas, Nöthe, Maximilian, Parello, David, Pierog, Tanguy, Pokrandt, Maria, Poctarev, Anton, Prechelt, Remy, Reininghaus, Maximilian, Rhode, Wolfgang, Riehn, Felix, Sackel, Maximilian, Sandrock, Alexander, Sampathkumar, Pranav, Schmelling, Michael, Schmidt, André, Sigl, Günter, Soedingrekso, Jan, Spaan, Bernhard, Xu, Donglian, Ammerman-Yebra, Juan, Zas, Enrique, Ulrich, Ralf
Compilation of the six contributions to the ICRC conference 2021 by the CORSIKA 8 Collaboration. The status of the project is illustrated. In particular, the secondary hadron as well as the electromagnetic cascades are being validated individually, a
Externí odkaz:
http://arxiv.org/abs/2112.11761
Publikováno v:
NIMA 1040 (2022) 167270
A common problem in data analysis is the separation of signal and background. We revisit and generalise the so-called $sWeights$ method, which allows one to calculate an empirical estimate of the signal density of a control variable using a fit of a
Externí odkaz:
http://arxiv.org/abs/2112.04574
Autor:
Dembinski, Hans, Schmelling, Michael
We compute bias, variance, and approximate confidence intervals for the efficiency of a random selection process under various special conditions that occur in practical data analysis. We consider the following cases: a) the number of trials is not c
Externí odkaz:
http://arxiv.org/abs/2110.00294
In the sub-TeV regime, the most widely used hadronic interaction models disagree significant lying their predictions for post-first interaction and ground-level particle spectra from cosmic ray induced air showers. These differences generate an impor
Externí odkaz:
http://arxiv.org/abs/2104.11034
Autor:
Schmelling, Michael
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A November 2023 1056
Least-squares fits are an important tool in many data analysis applications. In this paper, we review theoretical results, which are relevant for their application to data from counting experiments. Using a simple example, we illustrate the well know
Externí odkaz:
http://arxiv.org/abs/1807.07911
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 1 October 2022 1040
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 1 October 2019 940:135-141
Publikováno v:
DESY-PROC-2012-02
We present the results on the energy flow measured with minimum-bias data collected by the LHCb experiment in pp collisions at sqrt{s}=7 TeV for inclusive minimum-bias interactions, hard scattering processes and events with enhanced or suppressed dif
Externí odkaz:
http://arxiv.org/abs/1205.5389