Computational Radiation Physics

Computational Radiation Physics

The group models, simulates and visualizes the dynamics of particles and radiation phenomena that are of interest when investigating the physics of laser particle acceleration. The aim is to create models for innovative and compact sources of radiation that make the best use of the ultra-strong electromagnetic fields being created by the interaction of light and matter at relativistic intensities.

The CASUS team works closely together with the experimental group from the laser particle acceleration department of the Institute of Radiation Physics at Helmholtz-Zentrum Dresden-Rossendorf, developing realistic models and simulations to foster planing and analysis of experiments performed at the high-power laser systems DRACO and PEnELOPE. Working in close collaboration with the local experimental groups is one of the team’s big strengths.

Dr. Michael Bussmann

Dr. Michael Bussmann

CASUS Research Team Leader (acting)

Contact

+49 3581 375 23 11

Center for Advanced Systems Understanding

Conrad-Schiedt-Straße 20

D-02826 Görlitz

Advanced radiation sources

Our main research topic is the theory of laser-driven radiation sources. We study these sources by building analytic models and complex simulations to better understand and control the properties of these sources.

In order to increase our understanding of these sources, we have to be able to gain insight into the dynamical behaviour of large many-particle systems. High-intensity lasers can ionise matter, forming a new state of matter called a plasma. This means that they can rip matter apart, separating the positively charged atomic nuclei, so called ions, from their negatively charged electrons. This charge separation can create strong electric fields which in turn can be used to accelerate charged particles.

Physical Models of such a plasma need to take into account a variety of physical processes that can occur during the evolution of the plasma. Important processes include the ionisation of atoms by the laser pulse or by collisions with other particles but also radiation emitted by charged particles and collisions between particles.

These processes can happen on various time and length scales. This challenges both simulation techniques and theoretical models of these processes. One of our projects is PIConGPU, an implementation of the Particle-in-Cell algorithm for GPU clusters.

Our current research interests are:

Laser-driven acceleration of ion beams

The research in laser-driven ion acceleration focuses on the interaction of a laser pulse with new targets. By changing the material, form and structure of the target as well as the way they interact with the laser pulse it is possible to control the properties of the resulting ion beam such as its maximum energy and its spectrum. Good control over these properties is important for future applications such as tumor therapy with laser-driven ion beams.

Currently it is not possible to accelerate ions directly by the field of the laser pulse. Instead one must accelerate the electrons in the target in such a way that the resulting charge separation between electrons and ions creates fields strong enough to accelerate the ions.


Laser-driven acceleration of electron beams

Beams of high-energy electrons can be created by focusing a high-intensity laser pulse into a gas. Inside the gas, electrons are accelerated collectively, creating local changes in the density of electrons in the gas, thereby forming electron density waves.

Under the right conditions these density waves which often have a wavelength of only a few microns can travel distances of centimeters through the gas without being perturbed. If one injects electrons into these waves, one can accelerate them to very high energies. One of the research topics is to understand how this mechanism can be used to repeatedly accelerate electrons.


Laser-driven X-ray sources

Powerful sources of X-ray radiation with small bandwidth are an important tool to study the atomistic structure of matter. At HZDR experiments on Thomson scattering of high-intensity laser pulses on relativistic electron beams are pursued.

The Computational Radiation Physics group tries to answer the question, how this scattering process can be optimized and if it is possible to create laser-like pulses of X-ray radiation with it. For this, analytic models are developed and various simulation techniques used.

Complex, large-scale simulations

Realistic simulations of the interaction of high-power laser pulses with matter require to compute the trajectories of several million to a few billion charged particles in electromagnetic fields that strongly vary in space and time. It is therefore important, to use high performance computers with several hundred to thousands of processors. For this, the team is developing new parallel computing schemes to reduce the simulation time and thus the time the scientists have to wait for results.

Besides the physics research program we thus deal with information technology topics such as massively-parallel simulations on new compute hardware such as GPUs. Here, it is the goal to enhance the quality and extend the applicability of the physical models our simulations are based on. Furthermore, the team wants to make optimum use of the most innovative computation hardware when running the simulations.

For this, new programming techniques such as Domain Specific Embedded Languages and Metaprogramming as well as high performance computers and new accelerator hardware such as GPUs are used. For more details please visit the project website of PIConGPU, a powerful implementation of the Particle-in-Cell algorithm on GPUs.

To understand the simulation results, the group experiments using new data analysis techniques using data warehouses or gesture control of visual data analysis.

Combining accelerator physics and laser physics

Besides working on new acceleration schemes using lasers, we are interested in making use of standard accelerator techniques in combination with these new sources. For many applications, transport or focusing of laser-driven particle beams is essential.

The group’s work currently focuses on the following topics in accelerator physics:

Laser cooling of relativistic ion beams

At future accelerator facilities such as FAIR in Darmstadt cooling of highly-relativistic ion beams will be necessary to conduct precision experiments. A promising new cooling method is laser cooling. Laser cooling is normally used in ion traps, for example when studying quantum computing. The aim here at the Computational Radiation Physics team is to use laser cooling to create ultra-cold ion beams in storage rings and study their properties.


Compact beam transport systems (permanent magnet quadrupoles, pulsed magnets)

Laser-driven radiation sources are usually more compact than standard accelerators. In order to make good use of them, they have to be coupled to some sort of beam transport system.

We try to find new ways to shrink these beam transport systems in size while making them more powerful and versatile. This allows building very compact combinations of laser-driven sources and transport beam optics. The current interest lies in permanent magnet quadrupole lenses and pulsed magnet beam optics.

Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Richard Pausch, Norbert Podhorszki, Franz Poschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, Rene Widera, Anna Willmann, Sunita Chandrasekaran - arXiv 15 Jan 2025

Increasing HPC cluster sizes and large-scale simulations that produce petabytes of data per run, create massive IO and storage challenges for analysis. Deep learning-based techniques, in particular, make use of these amounts of domain data to extract patterns that help build scientific understanding. Here, we demonstrate a streaming workflow in which simulation data is streamed directly to a machine-learning (ML) framework, circumventing the file system bottleneck. Data is transformed in transit, asynchronously to the simulation and the training of the model. With the presented workflow, data operations can be performed in common and easy-to-use programming languages, freeing the application user from adapting the application output routines…

Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran - arXiv preprint arXiv:2410.00178 (2024)

The “IO Wall” problem, in which the gap between computation rate and data access rate grows continuously, poses significant problems to scientific workflows which have traditionally relied upon using the filesystem for intermediate storage between workflow stages. One way to avoid this problem in scientific workflows is to stream data directly from producers to consumers and avoiding storage entirely. However, the manner in which this is accomplished is key to both performance and usability. This paper presents the Sustainable Staging Transport, an approach which allows direct streaming between traditional file writers and readers with few application changes. SST is an ADIOS “engine”, accessible via standard ADIOS APIs, and because ADIOS allows engines to be chosen at run-time, many existing file-oriented ADIOS workflows can utilize SST for direct application-to-application communication without any source code changes. This paper describes the design of SST and presents performance results from various applications that use SST, for feeding model training with simulation data with substantially higher bandwidth than the theoretical limits of Frontier’s file system, for strong coupling of separately developed applications for multiphysics multiscale simulation, or for in situ analysis and visualization of data to complete all data processing shortly after the simulation finishes.

Jeremy J Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis - 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops (2024/9/24)

Large-scale HPC simulations of plasma dynamics in fusion devices require efficient parallel I/O to avoid slowing down the simulation and to enable the post-processing of critical information. Such complex simulations lacking parallel I/O capabilities may encounter performance bottlenecks, hindering their effectiveness in data-intensive computing tasks. In this work, we focus on introducing and enhancing the efficiency of parallel I/O operations in Particle-in-Cell Monte Carlo simu-lations. We first evaluate the scalability of BIT1, a massively-parallel electrostatic PIC MC code, determining its initial write throughput capabilities and performance bottlenecks using an HPC I/O performance monitoring tool, Darshan. We design and develop an adaptor to the openPMD I/O interface that allows us to stream PIC particle and field information to I/O using the BP4 backend, aggressively optimized for I/O efficiency, including the…

Paweł Ordyna, Carsten Bähtz, Erik Brambrink, Michael Bussmann, Alejandro Laso Garcia, Marco Garten, Lennart Gaus, Sebastian Göde, Jörg Grenzer, Christian Gutt, Hauke Höppner, Lingen Huang, Uwe Hübner, Oliver Humphries, Brian Edward Marré, Josefine Metzkes-Ng, Thomas Miethlinger, Motoaki Nakatsutsumi, Özgül Öztürk, Xiayun Pan, Franziska Paschke-Brühl, Alexander Pelka, Irene Prencipe, Thomas R Preston, Lisa Randolph, Hans-Peter Schlenvoigt, Jan-Patrick Schwinkendorf, Michal Šmíd, Sebastian Starke, Radka Štefaníková, Erik Thiessenhusen, Toma Toncian, Karl Zeil, Ulrich Schramm, Thomas E Cowan, Thomas Kluge - Communications Physics (2024/9/3)

Ultra-intense lasers that ionize atoms and accelerate electrons in solids to near the speed of light can lead to kinetic instabilities that alter the laser absorption and subsequent electron transport, isochoric heating, and ion acceleration. These instabilities can be difficult to characterize, but X-ray scattering at keV photon energies allows for their visualization with femtosecond temporal resolution on the few nanometer mesoscale. Here, we perform such experiment on laser-driven flat silicon membranes that shows the development of structure with a dominant scale of 60 nm in the plane of the laser axis and laser polarization, and 95 nm in the vertical direction with a growth rate faster than 0.1 fs−1. Combining the XFEL experiments with simulations provides a complete picture of the structural evolution of ultra-fast laser-induced plasma density development, indicating the excitation of plasmons and a filamentation…

Team members

Dr. Masoud Afshari

Postdoctoral Researcher

Ankush Checkervarty

Postdoctoral Researcher

Simeon Ehrig

Professional Supportt

Julian Lenz

Research Software Engineer/Developer

Filip Optołowicz

Student Assistant

Tapish Narwal

Research Software Engineer/Developer

Dr. Klaus Steiniger

Professional Support

Mehmet Yusufoglu

Software Scientist