Publications

 

Prof. Dr. Martin Erdmann: publications and citations (inspire)

Publications and books with major contributions of the team
Author Title
2023
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

Astropart. Phys. 108 (2019) 74, arXiv:1807.08734

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