Publications
Prof. Dr. Martin Erdmann: publications and citations (inspire)
Author | Title | |
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2023 | ||
The Pierre Auger Collaboration | Constraining models for the origin of ultra-high-energy cosmic rays with a novel combined analysis of arrival directions, spectrum, and composition data measured at the Pierre Auger Observatory | https://arxiv.org/abs/2305.16693 |
CMS Collaboration | Search for HH production in the bbWW decay mode | CMS-PAS-HIG-21-005 |
2022 | ||
M. Erdmann, G. Flügge | Experimentalphysik 1, Mechanik und Wärme | Pearson Studium, ISBN 978-3-86894-416-7 |
N. Eich, M. Erdmann, P. Fackeldey, B. Fischer, D. Noll, Y. Rath | Fast Columnar Physics Analyses of Terabyte-Scale LHC Data on a Cache-Aware Dask Cluster | Computing and Software for Big Science 10.1007/s41781-023-00095-9, arXiv:2207.08598 |
2021 | ||
T. Bister, M. Erdmann, U. Köthe, J. Schulte | Inference of cosmic-ray source properties by conditional invertible neural networks | The European Physical Journal C volume 82 (2022) 171 arXiv:2110.09493 |
M. Erdmann, J. Glombitza, G. Kasieczka, U. Klemradt | Deep Learning for Physics Research www.deeplearningphysics.org | World Scientific, ISBN: 978-981-123-745-4 |
M. Erdmann, G. Flügge, M. Risse | Experimentalphysik 2, Felder und Wellen | Pearson Studium, ISBN 978-3-8689-4418-1 |
L. Benato, E. Buhmann, M. Erdmann, P. Fackeldey, J. Glombitza, et al | Shared Data and Algorithms for Deep Learning in Fundamental Physics | Comput Softw Big Sci 6 (2022) 9 , arXiv:2107.00656 |
The Pierre Auger Collaboration | Deep-Learning based Reconstruction of the Shower Maximum Xmax using the Water-Cherenkov Detectors of the Pierre Auger Observatory | 2021 JINST 16 P07019 , arXiv:2101.02946 |
M. Wirtz, T. Bister, M. Erdmann | Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions |
Eur. Phys. J. C 81 (2021) 794, arXiv:2101.02890 |
2020 | ||
The Pierre Auger Collaboration | Search for magnetically-induced signatures in the arrival directions of ultra-high-energy cosmic rays measured at the Pierre Auger Observatory |
JCAP 06 (2020) 017, arXiv:2004.10591 |
T. Bister, M. Erdmann, J. Glombitza, N. Langner, J. Schulte, M. Wirtz | Identification of Patterns in Cosmic-Ray Arrival Directions using Dynamic Graph Convolutional Neural Networks | Astropart. Phys. 126 (2021) 102527, arXiv:2003.13038 |
M. Erdmann |
Erkenntnisgewinn durch moderne datengetriebene Methoden: Deep Learning |
Physik Journal April 2020 (in German) |
2019 | ||
M. Erdmann, T. Hebbeker, A. Schmidt |
Statistische Methoden in der Experimentalphysik |
Pearson Studium, ISBN 978-3-8689-4391-7 |
G. Kasiezka, T. Plehn, Y. Rath, M. Rieger et al. | The Machine Learning Landscape of Top Taggers |
SciPost Phys. 7 (2019) 014, arXiv:1902.09914 |
M. Erdmann, F. Schlueter, R. Smida | Classification and Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning |
JINST 14 (2019) P04005, arXiv:1901.04079 |
2018 | ||
M. Erdmann, E. Geiser, Y. Rath, M. Rieger | Lorentz Boost Networks: Autonomous Physics-Inspired Feature Engineering |
JINST 14 (2019) P06006, arXiv:1812.09722 |
M. Erdmann, L. Geiger, D. Schmidt, M. Urban, M. Wirtz | Origins of Extragalactic Cosmic Ray Nuclei by Contracting Alignment Patterns induced in the Galactic Magnetic Field | |
M. Erdmann, J. Glombitza, T. Quast | Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network |
T. Comput Softw Big Sci (2019) 3: 4, arXiv:1807.01954 |
C. Glaser, S. de Jong, M. Erdmann, J. Hörandel | An analytic description of the radio emission of air showers based on its emission mechanisms | Astroparticle Physics 08 (2018) 004, arXiv:1806.03620 |
CMS Collaboration | Observation of ttH production |
Phys. Rev. Lett. 120 (2018) 231801, arXiv:1804.02610 |
CMS Collaboration |
Search for ttH production in the H-to-bb decay channel with leptonic tt decays in proton-proton collisions at sqrt(s) = 13 TeV with the CMS detector |
JHEP 03 (2019) 026, arXiv:1804.03682 |
M. Erdmann, L. Geiger, J. Glombitza, D. Schmidt |
Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks |
Comput Softw Big Sci (2018) 2: 4. https://doi.org/10.1007/s41781-018-0008-x, arXiv:1802.03325 |
2017 | ||
C. Heiter, D. Kuempel, D. Walz, M. Erdmann | Production and propagation of ultra-high energy photons using CRPropa 3 | Astroparticle Physics 102 (2018) 39, arxiv:1710.11406 |
M. Erdmann, J. Glombitza, D. Walz | A Deep Learning-based Reconstruction of Cosmic Ray-induced Air Showers | Astropart. Phys. 97 (2017) 46, arXiv:1708.00647 |
M. Erdmann, B. Fischer, M. Rieger | Jet-Parton Assignment in ttH Events using Deep Learning | JINST 12 (2017) P08020, arXiv:1706.01117 |
M. Erdmann, C. Glaser, T. Quast | Acceleration by Strong Interactions | arXiv:1706.07850 |
The Pierre Auger Collaboration | Calibration of the Logarithmic-Periodic Dipole Antenna (LPDA) Radio Stations at the Pierre Auger Observatory using an Octocopter |
JINST 12 (2017) T10005, arXiv:1702.01392 |
2016 | ||
The Pierre Auger Collaboration | Combined fit of spectrum and composition data as measured by the Pierre Auger Observatory | JCAP04 (2017) 038, arxiv:1612.07155 |
The Pierre Auger Collaboration | A targeted search for point sources of EeV photons with the Pierre Auger Observatory | Astrophys. J. Lett., 837 (2017) L25, arXiv:1612.04155 |
M. Erdmann, G. Müller, M. Urban, M. Wirtz | The Nuclear Window to the Extragalactic Universe | Astroparticle Physics 85 (2016) 54, arXiv:1607.01645 |
C. Glaser et al. | Simulation of Radiation Energy Release in Air Showers | JCAP 09 (2016) 024, arXiv:1606.01641 |
R.A. Batista et al. | CRPropa 3 - a Public Astrophysical Simulation Framework for Propagating Extraterrestrial Ultra-High Energy Particles | JCAP05 (2016) 038, arXiv:1603.07142 |
Pierre Auger Collaboration |
Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy | Phys. Rev. Lett. 116 (2016) 241101, arXiv:1605.02564 |
2015 | ||
Gero Müller | Static Multiresolution Grids with Inline Hierarchy Information for Cosmic Ray Propagation | JCAP 08 (2016) 025, arXiv:1512.03172 |
Pierre Auger Collaboration |
Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory |
Phys. Rev. D 93 (2016) 122005, arXiv:1508.04267 |
R. Alves Batista, D. Boncioli, A. di Matteo, A. van Vliet, D. Walz | Effects of uncertainties in simulations of extragalactic UHECR propagation, using CRPropa and SimProp | JCAP 10 (2015) 063, arxiv:1508.01824 |
2014 | ||
Pierre Auger Collaboration |
Search for patterns by combining cosmic-ray energy and arrival directions at the Pierre Auger Observatory | Eur. Phys. J. C 75 (2015) 269, arXiv:1410.0515 |
M. Erdmann et al. |
A field study of data analysis exercises in a bachelor physics course using the internet platform VISPA | Eur. J. Phys. 35 (2014) 035018, arXiv:1402.2836 |
2013 | ||
H.-P. Bretz et al. | PARSEC: A Parametrized Simulation Engine for UltraHigh Energy Cosmic Ray Protons | Astropart. Phys. 54C (2014) 110, arxiv:1302.3761 |
2012 | ||
CMS-Collaboration | Measurement of the single-top-quark t-channel cross section in pp collisions at sqrt(s) = 7 TeV | JHEP 12 (2012) 035, arXiv:1209.4533 |
CMS-Collaboration |
Search for resonant t t-bar production in lepton+jets events in pp collisions at sqrt(s)=7 TeV | JHEP 12 (2012) 015, arXiv:1209.4397 |
Pierre-Auger-Collaboration |
Antennas for the Detection of Radio Emission Pulses from Cosmic-Ray induced Air Showers at the Pierre Auger Observatory | 2012 JINST 7 P10011, arXiv:1209.3840 |
H.-P. Bretz et al. | A Development Environment for Visual Physics Analysis | 2012 JINST 7 T08005, arXiv:1205.4912 |
CMS-Collaboration |
Search for quark compositeness in dijet angular distributions from pp collisions at sqrt(s) = 7 TeV | J. High Energ. Phys. (2012) 55, arXiv:1202.5535 |
Martin Erdmann, Günter Flügge |
Experimentalphysik 6: Elektrizität, Magnetismus | Springer Verlag Heidelberg, ISBN 978-3-642-17295-3
|
Martin Erdmann, Thomas Hebbeker |
Experimentalphysik 5: Moderne Methoden der Datenanalyse | Springer Verlag Heidelberg, ISBN 978-3-642-17293-9 |
2011 | ||
CMS-Collaboration | Measurement of the single-top t-channel cross section in pp collisions at sqrt(s) = 7 TeV | Phys. Rev. Lett. 107 (2011) 091802, arXiv:1106.3052 |
CMS-Collaboration |
Measurement of Dijet Angular Distributions and Search for Quark Compositeness in pp Collisions at sqrt(s) = 7 TeV |
Phys.Rev.Lett.106 (2011) 201804, arXiv:1102.2020 |
Martin Erdmann | Experimentalphysik 4: Hydromechanik, Wärme | Springer Verlag Heidelberg, ISBN 978-3-642-13997-0 |
2010 | ||
Martin Erdmann | Experimentalphysik 3: Schwingungen, Wellen Körperdrehung |
Springer Verlag Heidelberg, ISBN 978-3-642-14311-3
|
Martin Erdmann | Experimentalphysik 2: Kollision, Gravitation, Bezugssysteme | Springer Verlag Heidelberg, ISBN 978-3-642-13736-5 |
Martin Erdmann | Experimentalphysik 1: Kraft, Energie, Bewegung | Springer Verlag Heidelberg, ISBN 978-3-642-13080-9 |
2009 | ||
Martin Erdmann, Peter Schiffer |
A Method of Measuring Cosmic Magnetic Fields with Ultra High Energy Cosmic Ray Data | Astropart. Phys. 33 (2010) 201, arxiv:0904.4888 |