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1. Visualization and selection of Dynamic Mode Decomposition components for unsteady flow

Author

T. Krake, S. Reinhardt, M. Hlawatsch, B. Eberhardt, and D. Weiskopf

Subjects
Dynamic Mode Decomposition, Spectral decomposition, Information technology, T58.5-58.64
Abstract

Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimentally acquired data. Conceptually, DMD performs a low-dimensional spectral decomposition of the data into the following components: the modes, called DMD modes, encode the spatial contribution of the decomposition, whereas the DMD amplitudes specify their impact. Each associated eigenvalue, referred to as DMD eigenvalue, characterizes the frequency and growth rate of the DMD mode. In this paper, we demonstrate how the components of DMD can be utilized to obtain temporal and spatial information from time-dependent flow fields. We begin with the theoretical background of DMD and its application to unsteady flow. Next, we examine the conventional process with DMD mathematically and put it in relationship to the discrete Fourier transform. Our analysis shows that the current use of DMD components has several drawbacks. To resolve these problems we adjust the components and provide new and meaningful insights into the decomposition: we show that our improved components capture the spatio-temporal patterns of the flow better. Moreover, we remove redundancies in the decomposition and clarify the interplay between components, allowing users to understand the impact of components. These new representations, which respect the spatio-temporal character of DMD, enable two clustering methods that segment the flow into physically relevant sections and can therefore be used for the selection of DMD components. With a number of typical examples, we demonstrate that the combination of these techniques allows new insights with DMD for unsteady flow.

Published
2021
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2. The IceProd framework: distributed data processing for the IceCube neutrino observatory

Author

Joshua Pepper, E. Middell, Elisa Bernardini, Jenni Adams, P. B. Price, S. Hickford, R. G. Stokstad, P. Berghaus, J. Kläs, K. Rawlins, J. Feintzeig, K. Frantzen, M. Stamatikos, S. Euler, E. Jacobi, J. A. Goodman, J. Kunnen, T. O. B. Schmidt, A. Christov, F. Clevermann, M. Day, A. Bernhard, James Madsen, T. R. Wood, Oscar Macias, M. N. Tobin, J. C. Gallagher, M. Leuermann, J. P. Yanez, Kurt Woschnagg, Paul Evenson, R. Ström, M. Krasberg, A. O'Murchadha, Teresa Montaruli, Damian Pieloth, A. M. Brown, A. Tepe, H.-P. Bretz, Frank McNally, Donglian Xu, S. De Ridder, M. Labare, Allan Hallgren, Javier Gonzalez, S. Hussain, D. T. Grandmont, Giorgio Maggi, O. Schulz, T. Fuchs, D. J. Koskinen, Sandro Kopper, M. Casier, G. W. Sullivan, D. Z. Besson, A. Goldschmidt, P. Gretskov, J. P. Rodrigues, K. Krings, C. De Clercq, L. Köpke, Dmitry Chirkin, Alexander Kappes, Anatoli Fedynitch, A. Van Overloop, N. A. Stanisha, Carsten Rott, D. Heereman, J. Lünemann, E. A. Strahler, L. Schulte, B. Eichmann, Y. Sestayo, M. Schmitz, K. Jero, Matthias Wolf, S. Böser, Nathan Whitehorn, T. Stezelberger, S. M. Saba, R. Hellauer, B. Ruzybayev, R. C. Bay, M. Ribordy, S. Coenders, A. Haj Ismail, Benedikt Riedel, David A. Williams, Markus Ackermann, S. W. Barwick, A. Stasik, Maria Tselengidou, S. Schöneberg, M. Lesiak-Bzdak, P. Redl, T. Waldenmaier, Timo Karg, J. van Santen, Rezo Shanidze, Juan Carlos Diaz-Velez, K.-H. Becker, Matt Dunkman, T. Fischer-Wasels, S. Schoenen, Thorsten Glusenkamp, Carlos Arguelles, K. D. de Vries, K. Clark, L. Rädel, M. Kowalski, K. Schatto, G. Kohnen, A. Schukraft, Hermann Kolanoski, M. Bissok, Dennis Soldin, R. Nahnhauer, Todor Stanev, C. Wendt, C. Kopper, G. Golup, T. Feusels, M. Usner, S. Yoshida, H. Taavola, M. Danninger, L. Mohrmann, K. Hoshina, Kirill Filimonov, J. E. Jacobsen, Subir Sarkar, M. Quinnan, Marcos Santander, E. Blaufuss, C. Pfendner, N. Milke, George Japaridze, Dirk Ryckbosch, R. Bruijn, G. Merino, W. Huelsnitz, A. Tamburro, Glenn Spiczak, D. J. Boersma, J. C. Davis, Segev BenZvi, K. Jagielski, R. Hoffmann, L. Gerhardt, I. Rae, J. C. Groh, David Schultz, Gary Binder, Spencer Klein, Matthias Vraeghe, Xianwu Xu, C. Walck, Axel Groß, R. Eagan, U. Naumann, Mohamed Rameez, M. Vehring, D. F. Cowen, P. O. Hulth, J. Eisch, H. Landsman, Kael Hanson, C. Ha, Kara Hoffman, A. H. Cruz Silva, A. Kriesten, Surujhdeo Seunarine, J. Miller, C. Bohm, Thomas K. Gaisser, G. B. Yodh, Elisa Resconi, K. Helbing, Thomas Meures, Ch. Weaver, O. Jlelati, J. Kiryluk, Juanan Aguilar, D. R. Nygren, Takao Kuwabara, Wolfgang Rhode, S. Tilav, J. Blumenthal, J. J. Beatty, J.-H. Köhne, Chad Finley, J. Ziemann, Xinhua Bai, B. Christy, J. Becker Tjus, M. Merck, H. Wissing, A. Homeier, L. Classen, Hans Niederhausen, Paolo Desiati, A. Ishihara, J. Posselt, J. Auffenberg, Naoko Kurahashi, N. van Eijndhoven, Christopher Wiebusch, Tim Ruhe, Daniel Bindig, J. L. Kelley, Markus Ahlers, Olga Botner, A. Stößl, A. Obertacke, B. Kaminsky, S. Odrowski, J. Daughhetee, M. W. E. Smith, Reina H. Maruyama, K. Mase, V. Baum, M. J. Larson, G. Kroll, A. R. Fazely, Mike Richman, M. Wallraff, M. Voge, A. Franckowiak, A. Olivas, Samvel Ter-Antonyan, L. Brayeur, Rasha Abbasi, F. Huang, M. G. Aartsen, J. Leute, D. Berley, G. C. Hill, Gerald Przybylski, René Reimann, E. Pinat, M. Zoll, Michael J. Baker, J. Casey, Larissa Paul, F. Scheriau, L. Gladstone, S. Cohen, Dirk Heinen, D. Seckel, S. Miarecki, I. Taboada, Dustin Hebecker, Tyce DeYoung, P. A. Toale, S. Flis, Simona Toscano, Albrecht Karle, C. Pérez de los Heros, A. Schönwald, E. Unger, D. Altmann, K. Meagher, K. Wiebe, S. Zierke, A. Omairat, P. Hallen, K. Hultqvist, Darren Grant, Sarah Nowicki, M. Kauer, D. Bose, B. Eberhardt, H. S. Matis, Francis Halzen, P. Zarzhitsky, O. Fadiran, Christian Spiering, C. Sheremata, S. Westerhoff, G. Tešić, R. Morse, Sofia Vallecorsa, N. L. Strotjohann, H. G. Sander, M. Wellons, Dariusz Gora, Physics, Elementary Particle Physics, and Vriendenkring VUB

Subjects
FOS: Computer and information sciences, Monitoring, Computer science, Computer Networks and Communications, Distributed computing, Data management, Real-time computing, Distributed management, computer.software_genre, 01 natural sciences, IceCube Neutrino Observatory, Theoretical Computer Science, IceCube, Artificial Intelligence, 0103 physical sciences, 010306 general physics, Data processing, Grid computing, 010308 nuclear & particles physics, business.industry, Computer Science - Distributed, Parallel, and Cluster Computing, Hardware and Architecture, Middleware (distributed applications), Middleware, Particle, Distributed, Parallel, and Cluster Computing (cs.DC), Neutrino, ddc:004, business, computer, Software
Abstract

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, HTCondor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework. (C) 2014 Elsevier Inc. All rights reserved.

Published
2016
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3. Characterization of the atmospheric muon flux in IceCube

Author

C. Pérez de los Heros, M. Day, Julian Kemp, N. A. Stanisha, J. Feintzeig, Joshua Pepper, T. Anderson, K.-H. Becker, M. Schimp, Javier Gonzalez, P. Gretskov, Yiqian Xu, Matt Dunkman, Giorgio Maggi, T. Fischer-Wasels, M. Lesiak-Bzdak, P. Redl, A. Schukraft, C. De Clercq, E. Cheung, E. Middell, Elisa Bernardini, Dirk Ryckbosch, Sander Vanheule, Markus Ackermann, S. W. Barwick, L. Schulte, D. Heereman, Larissa Paul, F. Scheriau, Karim Ghorbani, M. J. Larson, Albrecht Karle, A. Schönwald, D. Altmann, G. Golup, R. Gaior, P. B. Price, N. Kurahashi, Todor Stanev, Dawn Williams, C. Wendt, G. Merino, N. Wandkowsky, L. Sabbatini, G. de Wasseige, Jenni Adams, Carlos Arguelles, K. Wiebe, T. O. B. Schmidt, S. Hickford, K. Schatto, G. Kohnen, Surujhdeo Seunarine, J. Miller, J. Leuner, R. G. Stokstad, Kirill Filimonov, R. Hoffmann, R. Nahnhauer, S. Tilav, C. Walck, R. Eagan, S. Schoenen, Delia Tosi, M. G. Aartsen, Juanan Aguilar, T. R. Wood, Kurt Woschnagg, Thorsten Glusenkamp, L. Classen, L. Mohrmann, S. Yoshida, Segev BenZvi, Thomas K. Gaisser, G. B. Yodh, M. Stamatikos, J. Pütz, E. A. Strahler, M. Relich, B. Christy, M. W. E. Smith, Paul Evenson, K. Rawlins, W. Huelsnitz, A. Ishihara, Spencer Klein, J. Becker Tjus, Anatoli Fedynitch, M. Kroll, A. Goldschmidt, Hermann Kolanoski, L. Brayeur, K. Helbing, James Madsen, N. van Eijndhoven, C. Haack, Dmitry Chirkin, B. Kaminsky, I. Taboada, J. Veenkamp, D. Z. Besson, K. D. de Vries, Alexander Kappes, S. Flis, Kara Hoffman, A. H. Cruz Silva, A. O'Murchadha, M. N. Tobin, B. Hansmann, A. Koob, Timo Karg, Gerald Przybylski, E. Beiser, A. Omairat, M. Zoll, M. Jurkovic, H.-P. Bretz, Killian Holzapfel, A. Christov, D. J. Koskinen, Carsten Rott, Teresa Montaruli, D. R. Nygren, M. Quinnan, Frank McNally, Hershal Pandya, K. Meagher, A. Stasik, Nathan Whitehorn, M. Bissok, Wolfgang Rhode, A. Meli, Kendall Mahn, M. Kauer, R. Konietz, E. Middlemas, G. Kroll, M. Glagla, P. Berghaus, Xianwu Xu, Marek Kowalski, J. Blumenthal, K. Hultqvist, B. Riedel, Joshua Hignight, J. Kläs, M. E. Huber, T. Menne, C. Bohm, Maria Tselengidou, S. Schöneberg, L. Rädel, L. Gerhardt, Darren Grant, Olga Botner, J. Kunnen, Ch. Weaver, M. Vehring, K. Hoshina, S. Böser, J. Auffenberg, C. Ha, Carl Pfendner, V. Baum, Chad Finley, A. Obertacke, Glenn Spiczak, Sarah Nowicki, Damian Pieloth, K. Mase, Ali Kheirandish, D. F. Cowen, J. P. A. M. de André, A. M. Brown, S. Euler, U. Naumann, Mohamed Rameez, E. Unger, M. Wallraff, T. Fuchs, L. Köpke, T. Stezelberger, M. Voge, S. M. Saba, A. Bernhard, D. Hellwig, Christian Spiering, Justin Vandenbroucke, Mike Richman, Kael Hanson, A. Olivas, M. Stahlberg, A. Haj Ismail, N. Buzinsky, A. Terliuk, S. Westerhoff, F. Huang, M. Usner, Justin Lanfranchi, M. Börner, J. Kiryluk, Martin Rongen, J. Casey, Matthias Vraeghe, L. Wille, P. O. Hulth, Hans Niederhausen, René Reimann, Björn Eichmann, H. Wissing, R. Hellauer, Paolo Desiati, Daniel Bindig, T. C. Arlen, R. Ström, X. Bai, Sally Robertson, Alexander Sandrock, B. J. Whelan, K. Clark, J. Felde, J. L. Kelley, Markus Ahlers, Samvel Ter-Antonyan, K. Krings, Ramesh Koirala, Dennis Soldin, H. Taavola, E. Blaufuss, D. J. Boersma, J. C. Davis, S. De Ridder, M. Labare, Maryon Ahrens, M. Medici, S. Coenders, Thomas Meures, N. L. Strotjohann, A. R. Fazely, E. Pinat, Donglian Xu, Subir Sarkar, R. Maunu, T. Kuwabara, J. C. Groh, C. Kopper, E. Jacobi, Joakim Sandroos, Azadeh Keivani, A. Homeier, M. Casier, Christopher Wiebusch, J. Daughhetee, J. P. Yanez, J. Lünemann, R. C. Bay, G. W. Sullivan, D. Berley, G. C. Hill, James E. Braun, Rezo Shanidze, Juan Carlos Diaz-Velez, M. Archinger, L. Gladstone, J. J. Beatty, D. Seckel, S. Fahey, S. Miarecki, J. C. Gallagher, Tyce DeYoung, P. A. Toale, M. Leuermann, J. Posselt, F. Bos, A. Stößl, Tim Ruhe, Allan Hallgren, Sandro Kopper, Reina H. Maruyama, M. Schmitz, K. Jero, Sofia Vallecorsa, D. Hebecker, Matthias Wolf, Thomas Ehrhardt, Andrea Turcati, J. van Santen, H. G. Sander, Gary Binder, Axel Groß, George Japaridze, Seongjin In, Elisa Resconi, M. S. Sutherland, G. Tešić, S. Richter, D. Gier, D. Bose, J. P. Dumm, T. Palczewski, C. Wichary, B. Eberhardt, H. S. Matis, K. Abraham, Francis Halzen, P. Zarzhitsky, O. Fadiran, R. Morse, H. Dembinski, Dariusz Gora, Physics, Elementary Particle Physics, Faculty of Sciences and Bioengineering Sciences, and Vriendenkring VUB

Subjects
Prompt leptons, lepton, Atmospheric muons, Cosmic rays, Astronomy and Astrophysics, Physics::Instrumentation and Detectors, Hadron, primary [cosmic radiation], PROTON, 01 natural sciences, IceCube, surface [detector], atmosphere [muon], NEUTRINO TELESCOPE, production [muon], Physics, High Energy Astrophysical Phenomena (astro-ph.HE), ELEMENTAL GROUPS, Detector, model [interaction], Astrophysics::Instrumentation and Methods for Astrophysics, COSMIC-RAY MUONS, ENERGY-SPECTRUM, vector meson, statistics, INTRINSIC CHARM, ddc:540, Physique des particules élémentaires, high [energy], Astrophysics - High Energy Astrophysical Phenomena, atmosphere [showers], Atmosperic muons, exceptional, air, flux [muon], Astrophysics::High Energy Astrophysical Phenomena, spectrum [multiplicity], energy spectrum, FOS: Physical sciences, Cosmic ray, atmosphere [cosmic radiation], Nuclear physics, cosmic rays, 0103 physical sciences, ARRIVAL DIRECTIONS, Vector meson, 010306 general physics, Zenith, ANISOTROPY, Muon, 010308 nuclear & particles physics, Spectral component, tracks, MODEL, Physics and Astronomy, 13. Climate action, TEV, spectral, High Energy Physics::Experiment, hadron, Lepton
Abstract

Muons produced in atmospheric cosmic ray showers account for the by far dominant part of the event yield in large-volume underground particle detectors. The IceCube detector, with an instrumented volume of about a cubic kilometer, has the potential to conduct unique investigations on atmospheric muons by exploiting the large collection area and the possibility to track particles over a long distance. Through detailed reconstruction of energy deposition along the tracks, the characteristics of muon bundles can be quantified, and individual particles of exceptionally high energy identified. The data can then be used to constrain the cosmic ray primary flux and the contribution to atmospheric lepton fluxes from prompt decays of short-lived hadrons. In this paper, techniques for the extraction of physical measurements from atmospheric muon events are described and first results are presented. The multiplicity spectrum of TeV muons in cosmic ray air showers for primaries in the energy range from the knee to the ankle is derived and found to be consistent with recent results from surface detectors. The single muon energy spectrum is determined up to PeV energies and shows a clear indication for the emergence of a distinct spectral component from prompt decays of short-lived hadrons. The magnitude of the prompt flux, which should include a substantial contribution from light vector meson di-muon decays, is consistent with current theoretical predictions. The variety of measurements and high event statistics can also be exploited for the evaluation of systematic effects. In the course of this study, internal inconsistencies in the zenith angle distribution of events were found which indicate the presence of an unexplained effect outside the currently applied range of detector systematics. The underlying cause could be related to the hadronic interaction models used to describe muon production in air showers., 0, SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2016
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