Publications

The most important peer-reviewed publications

  1. H. Foidl, M. Felderer, R. Ramler, ‘Data smells: categories, causes and consequences, and detection of suspicious data in AI-based systems’, in Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI (2022), pp. 229-239.
  2. A. Nicola, D. Alonso, et int., E. L. Wagoner, ‘Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release’, JCAP 2020, 044, 044 (2020).
  3. GRAVITY Collaboration, K. Perraut, et int., L. Labadie, et int., S. Yazici, ‘The GRAVITY Young Stellar Object survey. I. Probing the disks of Herbig Ae/Be stars in terrestrial orbits’, A&A 632, A53, A53 (2019).
  4. A. D’Isanto, K. L. Polsterer, ‘Photometric redshift estimation via deep learning. Generalized and pre-classification-less, image based, fully probabilistic redshifts’, A&A 609, A111, A111 (2018).
  5. G. Gassner, A. R. Winters and D. A. Kopriva, ‘Split form nodal discontinuous Galerkin schemes with summation-by-parts property for the compressible Euler equations’, Journal of Computational Physics 327, 39 (2016).
  6. C. P. Endres, S. Schlemmer, et int., P. Schilke, et int., H. S. P. Müller, ‘The Cologne Database for Molecular Spectroscopy, CDMS, in the Virtual Atomic and Molecular Data Centre, VAMDC’, Journal of Molecular Spectroscopy 327, 95 (2016).
  7. T. Abbott, F. B. Abdalla, et int., A. Nicola, et int., J. Zuntz, ‘Cosmology from cosmic shear with Dark Energy Survey Science Verification data’, Phys. Rev. D 94, 022001, 022001 (2016).
  8. S. Walch, P. Girichidis, et int., C. Baczynski, ‘The SILCC (SImulating the LifeCycle of molecular Clouds) project – I. Chemical evolution of the supernova-driven ISM’, MNRAS 454, 238 (2015).
  9. S. Brünken, O. Sipilä, et int., S. Schlemmer, ‘H2D+ observations give an age of at least one million years for a cloud core forming Sun-like stars’, Nature 516, 219 (2014).
  10. A. Lintermann, S. Schlimpert, et int., W. Schröder, ‘Massively parallel grid generation on HPC systems’, Computer Methods in Applied Mechanics and Engineering 277, 131 (2014).
  11. D. Thornton, B. Stappers, et int., M. Kramer, et int., W. van Straten, ‘A Population of Fast Radio Bursts at Cosmological Distances’, Science 341, 53 (2013).
  12. N. Peretto, G. A. Fuller, et int., S. Molinari, ‘Global collapse of molecular clouds as a formation mechanism for the most massive stars’, A&A 555, A112, A112 (2013).
  13. G. Gassner, ‘A skew-symmetric discontinuous Galerkin spectral element discretization and its relation to SBP-SAT finite difference methods’, SIAM Journal on Scientific Computing 35, A1233 (2013).
  14. D. A. Riechers, C. M. Bradford, et int., J. Zmuidzinas, ‘A dust-obscured massive maximum- starburst galaxy at a redshift of 6.34’, Nature 496, 329 (2013).
  15. L. Amendola, S. Appleby, et int., C. Porciani, et int., The Euclid Theory Working Group, ‘Cosmology and Fundamental Physics with the Euclid Satellite’, Living Reviews in Relativity 16, 6, 6 (2013).
  16. S. Walch, A. P. Whitworth, et int., D. Hubber, ‘Dispersal of molecular clouds by ionizing radia- tion’, MNRAS 427, 625 (2012).
  17. F. Bigiel, A. K. Leroy, et int., H. W. Wiesemeyer, ‘A Constant Molecular Gas Depletion Time in Nearby Disk Galaxies’, ApJ Letters 730, L13, L13 (2011).
  18. S. Molinari, B. Swinyard, et int., G. A. Fuller, P. Schilke, et int., Q. Zhang, ‘Clouds, filaments, and protostars: The Herschel Hi-GAL Milky Way’, A&A 518, L100, L100 (2010).
  19. S. Pfalzner, ‘Universality of young cluster sequences’, A&A 498, L37 (2009).
  20. F. Bigiel, A. Leroy, et int., M. D. Thornley, ‘The Star Formation Law in Nearby Galaxies on Sub-Kpc Scales’, AJ 136, 2846 (2008).
  21. O. Hahn, C. Porciani, et int., A. Dekel, ‘Properties of dark matter haloes in clusters, filaments,sheets and voids’, MNRAS 375, 489 (2007).
  22. M. Kramer, I. H. Stairs, et int., F. Camilo, ‘Tests of General Relativity from Timing the DoublePulsar’, Science 314, 97 (2006).
  23. T. H. Reiprich, H. Böhringer, ‘The Mass Function of an X-Ray Flux-limited Sample of Galaxy Clusters’, ApJ 567, 716 (2002).
  24. A. Ferrer, F. Hernandez, et int., S. Wesner, et int., C. Sheridan, ‘OPTIMIS: A holistic approach to cloud service provisioning’, Future Generation Computer Systems 28, 66 (2012).
  25. H. Beuther, P. Schilke, et int., F. Wyrowski, ‘Massive molecular outflows’, A&A 383, 892 (2002).

The most important non-peer-reviewed publications

  1. E. Inanc, R. Sarma, et int., A. Lintermann, ‘AI4HPC’, 10.5281/zenodo.7705421 (2023)
  2. M. Borzyszkowski, M. Elkhashab, C. Porciani, D. Bertacca, ‘LIght cones using GEneral Relativity’, https://astro.uni-bonn.de/ porciani/LIGER/ and https://gitlab.com/cosmology-aifa/ligerv2
  3. D. R. Lorimer, M. Kramer, ‘Pulsar Data Acquisition Systems’, in: The WSPC Handbook of Astronomical Instrumentation, Volume 1: Radio Astronomical Instrumentation, World Scientific Publ., 181 (2021).
  4. M. Schlottke-Lakemper, G. J. Gassner et int., J. Chan, Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs in Julia’, 10.5281/zenodo.6622223 (2021). Code Available: github.com/trixi-framework/Trixi.jl
  5. M. Rüttgers, M. Waldmann, et int., A. Lintermann, ‘Machine-Learning-Based Control of Per- turbed and Heated Channel Flows’, High Performance Computing, Proceedings of the 36th International Conference, ISC High Performance, 7 (2021)
  6. C. Debus, A. Rüttgers, et int., M. Siggel, ’High-performance data analytics of hybrid rocket fuel combustion data using different machine learning approaches’, AIAA Scitech 2020 Forum (2020).
  7. M. Felderer, G. H. Travassos, ‘Contemporary empirical methods in software engineering’, Springer (2020), ISBN: 978-3-030-32488-9.
  8.  S. D. Clarke, G. M. Williams, et int., S. Walch, ‘FragMent: Fragmentation techniques for studying filaments’, MNRAS 484, 4024 (2019).
  9. S.Schlemmer ‘Molecular Spectroscopy of Astrophysical Molecules’, in: Gas-PhaseChemistry in Space, IOP Publishing Ltd (2019), ISBN: 978-0-7503-1426-8.
  10. J. C. Ibanez-Mejıa, S. Walch, et int., P. R. Joshi, ‘DustCharge: Charge distribution for a dust grain’, MNRAS 485, 1220 (2019).
  11. G. A. Fuller, A. Avison, et int., J. Wagg, ‘The Science Case for ALMA Band 2 and Band 2+3 (Output from ESO funded design study)’, arXiv:1602.02414 (2016).
  12. S. Schlemmer, T. Giesen, H. Mutschke, ‘Laboratory Astrochemistry – From Molecules through Nanoparticles to Grains’, Wiley-VCH, (2015), ISBN: 978-3-527-40889-4.
  13. K. L. Polsterer, F. Gieseke, B. Doser, ‘PINK: Parallelized rotation and flipping INvariant Koho- nen maps’, ADASS XXIV, 495, 81 (2014).
  14. K. Nandra, D. Barret, et int., T. H. Reiprich, et int., I. Zhuravleva, ‘The Hot and Energetic Universe: A White Paper presenting the science theme motivating the Athena+ mission’, arXiv:1306.2307 (2013).
  15. E. Pointecouteau, T. H. Reiprich, et int., A. von der Linden, ‘The Hot and Energetic Universe: The evolution of galaxy groups and clusters’, arXiv:1306.2319 (2013).
  16. A. Merloni, P. Predehl, et int., T. H. Reiprich, et int., the German eROSITA Consortium, ‘eROSITA Science Book: Mapping the Structure of the Energetic Universe’, arXiv:1209.3114 (2012).
  17. S. Schlemmer, T. Giesen, et int., G. Winnewisser, ‘Chapter 8 – High-Resolution Laboratory Terahertz-Spectroscopy and Applications to Astrophysics’, in: Frontiers of Molecular Spectroscopy, Elsevier (2009), ISBN: 978-0-444-53175-9.
  18. S. Pfalzner, ‘An Introduction to Inertial Confinement Fusion’, Taylor & Francis Publ. (2006), ISBN: 978-0-429-14815-6.
  19. H. Lesch, F. Berkemeler, et int., S. Walch, ‘Quantenmechanik für die Westentasche’, Piper Verlag (2006), ISBN: 978-3-492-04542-1.
  20. H. Lesch, F. Berkemeler, et int., S. Walch, ‘Physik für die Westentasche’, Piper Verlag (2003), ISBN 978-3-492-96975-8.
  21. S. Pfalzner, P. Gibbon, ‘Many-body tree methods in Physics’, Cambridge University Press (1996), ISBN: 978-0-511-52936-8.