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Andreas Döpp (LMU Munich)24.01.22, 16:00
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Chris O'Grady (SLAC National Accelerator Laboratory/LCLS)24.01.22, 16:15
Scientists use the LCLS X-Ray free electron laser to take crisp pictures of atomic motions, watch chemical reactions unfold, probe the properties of materials and explore fundamental processes in living things. In the fall of 2022 the LCLS-II superconducting linac will be commissioned and the X-Ray shot rate will increase from 120Hz to 1MHz. Correspondingly, the raw data volume will increase...
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Kevin Cassou (CNRS/IJClab)24.01.22, 16:45
The PALLAS project aims to develop an laser-plasma injector (LPI) prototype delivering 150-200 MeV, 10-50 pC, 1 mm.mrad, at 10 Hz with reliability and control performance at the level of conventional RF accelerator. The LPI is driven by the 40 TW laser of the Université Paris-Saclay [LaseriX...
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Ross Gray (University of Strathclyde)24.01.22, 17:20
The control, management and analysis of data arising from laser-plasma experiments are key issues that, when well addressed, enable rapid insights into underlying physics and time-critical decision making for a given investigation. This issue now demands more attention if we are to take full advantage of developments in high-repetition rate, high-power laser technology.
Over the past...
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Stephen Dann (Central Laser Facility (UKRI))24.01.22, 17:40
Gemini, at the Central Laser Facility, provides access for academic and industrial users to perform a variety of cutting-edge experiments. As well as two beams, each with 12 J in 40 fs, we provide mechanical and electrical services to support experiments. These now include systems to support data acquisition, analysis, and storage, as well as experiment control. This has allowed us to conduct...
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Anthony Gonsalves (LBNL)24.01.22, 18:00
In this talk I will describe development of the BELLA Center control system, from requirements to implementation on all of our beamlines. The control system, named GEECS (Generalized Equipment and Experiment Control System), monitors, logs, and controls equipment distributed across a network. It was designed to be a complete software package that is straightforward to install, use, and...
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Nicole Wagner24.01.22, 18:30
Experimental scientists have always a need for high flexibility in realizing their setups. That poses a huge challenge for the engineers who try to catch up and have the goal to minimize the variety of devices or to standardize the interfaces between the components. This area of conflict mostly covers motion tasks, machine safety and environmental conditioning.
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This talk touches some of the... -
Dr. Peter V Heuer (Laboratory for Laser Energetics)24.01.22, 18:30
Open and standardized data formats have numerous advantages, including streamlining collaboration, improving software interoperability, and lowering access barriers. However, most data in high energy density physics (HEDP) are currently stored in idiosyncratic instrument or laboratory-specific formats. Analysis software is likewise often written for use by a single author (often duplicating...
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Charlotte Palmer (QUB)24.01.22, 18:35
Laser-driven energetic proton accelerators have the potential to provide compact sources of MeV energy, low emittance, sub-picosecond duration proton beams for a variety of applications. The primary impediment to their wider adoption is the challenge of shot-to-shot reproducibility and tuning of the parameters to optimize desirable proton beam qualities in a multi-dimensional parameter space....
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Davorin Peceli (ELI BL)24.01.22, 18:35
We present a procedure for optimization of a laser pulse duration to the shortest possible value using a feedback control loop between the FC SPIDER from APE and DAZZLER from Fastlite. New SPIDER software was developed in collaboration with APE. It was integrated into the laser control system and it enables real-time measurement running on real-time hardware with pulse reconstruction time of...
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Nils Weiße (CALA), Leonard Doyle (LMU), Faran Irshad (CALA-LMU Munich)24.01.22, 18:40
Tango Controls has been adopted as main system for supervisory control and data acquisition at the Center for Advanced Laser Applications (CALA) in recent years. As an open-source, free and software independent toolkit it is highly customizable and applicable for almost any measurement device. In its current implementation at CALA the main laser system, as well as each experimental cave, has...
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Hayg Guler (IJCLAB)24.01.22, 18:45
We present the ongoing experimental work on the ML for tuning of the RF gun and linac based on the associated diagnostics.
Our machine is based on Tango control system, currently operating at 10Hz, it was designed to control the machine (magnets, laser, RF, diags etc.), and perform dedicated physical measurements. This architecture allows us to easily integrate ML methods and tools to...
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Brendan Loughran (Quen's University Belfast)24.01.22, 18:45
As high-intensity ultra-short PW-class laser systems, operating at high repetition rates, become a reality, laser-driven ion sources will become more suited for a variety of their potential applications. For many applications, shot-to-shot reproducibility and tuning of the beam parameters for a desirable proton source is crucial. The laser-driven ion beam depends on both laser and target...
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Herr Leonard Doyle (LMU)24.01.22, 18:50
The Centre for Advanced Laser Applications (CALA) in Munich is home to the ATLAS-3000 high power laser dedicated to research on laser particle acceleration and applications thereof. The laser and each experimental area are running control systems based on Tango controls. In addition to the hardware control, this is used to record experimental data in an automated fashion with every laser shot....
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Andre Antoine (University of Michigan)24.01.22, 19:00
Laser Wakefield Acceleration (LWFA) is a process by which high gradient plasma waves are excited by a laser leading to the acceleration of electrons. The process is highly nonlinear leading to difficulties in developing 3 dimensional models for a priori, and/or ab initio prediction.
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Recent experiments at the Rutherford Appleton Laboratory’s (RAL) Central Laser Facility (CLF) in the United... -
Oliver Stein (DESY), Herr Jan Kaiser (DESY)24.01.22, 19:05
In recent research, reinforcement learning algorithms have been shown capable of solving complex control tasks, also showing potential for beam control, and in the optimization and automation of tasks in accelerator operation.
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As part of the Helmholtz AI project "Machine Learning Toward Autonomous Accelerators" -- a collaboration between DESY and KIT -- reinforcement learning applications... -
Manuel Kirchen (DESY)25.01.22, 16:15
Laser-plasma acceleration (LPA) promises compact sources of high-brightness electron beams for science and industry. However, transforming LPA into a technology to drive real-world applications remains a challenge. In this talk, we discuss how the design and operational principles of the LUX experiment allow us to adopt data-driven approaches to understanding and improving the performance of...
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Derek Mariscal (Lawrence Livermore National Laboratory)25.01.22, 16:45
Deep learning can be used to replace time-consuming diagnostic analysis. With further development, experimental data from high-rep-rate capable laser facilities can be analyzed accurately and at rates fast enough to enable self-driving experiments. The general process for developing neural networks for analyzing data from a proton beam diagnostic will be discussed.
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Rob Shalloo (DESY)25.01.22, 17:20
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Dr. Jinpu Lin (University of Michigan / currently at: LMU Munich)25.01.22, 17:40
Abstract: While the latest technologies have enabled unprecedented laser intensities, the highest energy laser facilities usually operate in single-shot mode, namely firing a few shots a day. On the other side, the development of laser systems with higher repetition rates but lower peak power is always of fundamental interest, particularly for applications. Applications of the particle beams...
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Matthew Streeter (Queen's University Belfast)25.01.22, 18:00
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Dr. Axel Huebl (LBNL)26.01.22, 16:15
The open standard for particle-mesh data (openPMD) is a community meta-data standard. openPMD adds scientific self-description in a machine-actionable format to data sets, which allows sharing data processing frameworks, chaining data through simulations and designing long analysis pipelines.
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Developed in the open as a FAIR data standard, openPMD is based on portable and scalable file formats... -
Prof. Scott Feister26.01.22, 16:45
The smallest laboratories in our field often have the highest repetition-rate experiments and the opportunity for the fattest data pipelines. One shortcut to achieving high-repetition-rate data analysis and storage, while retaining high-fidelity of datasets for post-analysis, is to implement an automated global shot counter in the lab and stamp it on every bit of scientific data. Data can then...
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Derek Schaeffer (Princeton University)26.01.22, 17:20
Flexible data structures are critical when designing control systems and data storage for high-repetition-rate experiments, and they must take into account the full lifetime of the experiment from facility preparation to data analysis. We present lessons learned from our experience creating software to control high-rep-rate laser experiments at UCLA. We overview the main motivations and key...
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Dr. Archis S. Joglekar (Center for Ultrafast Optical Sciences, University of Michigan - Ann Arbor)26.01.22, 17:40
We show a cloud-based platform for experimental data storage, management, and sharing. The platform has a UI that runs on a containerized Pythonic web application hosted by a container service. It is fronted by a lightweight authentication portal for a username and password. The experimental data is stored on a database service and object storage service. The container server, database, object...
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Hans-Peter Schlenvoigt (HZDR)26.01.22, 18:00
Experiments have per definition an unknown outcome and need adaption and improvement during their runtime. Especially user experiments are frequently changed or even just temporarily set up. On the other hand, policies develop towards open science what is undeniably useful in our field since drive lasers/facilities and experiments are cutting-edge but always have their peculiarities, hence...
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Herr Varun Makdani (Helmholtz-Zentrum Dresden-Rossendorf)26.01.22, 18:30
Numerical simulations of complex systems such as Laser-Plasma acceleration are computationally very expensive and have to be run on large-scale HPC systems. Offline analysis of experimental data is typically carried out by expensive grid scans or optimisation of particle-in-cell code like PIConGPU modelling the corresponding physical processes. Neural Network based surrogate models of this...
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Anna Willmann26.01.22, 18:30
Experimental research of the laser plasma acceleration processes and properties of beams is important and at the same time requires a lot of resources to perform highly complex experiments and analyse the obtained data. A surrogate of an experiment provides novel insights into the experimental study of laser plasma acceleration and promises optimization of the experiments. A reliable surrogate...
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Pablo Jaime Bilbao Santiago (Golp/IPFN, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa Portugal)26.01.22, 18:45
We present a novel method to efficiently implement Machine Learning methods within Particle-in-Cell (PIC) simulation codes. Such codes are vital to fully understand the kinetic processes involved in Laser Wakefield acceleration and constitute a key tool to comprehend experimental setups and their diagnostics data. However, their computational cost prevents large parameter scans in 3D...
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Herr Friedrich Bethke (Helmholtz-Zentrum Dresden-Rossendorf (HZDR))26.01.22, 18:50
Laser wakefield acceleration (LWFA) has demonstrated to be a small-scale alternative for accelerating electrons. With the discovery and experimental realization of the so-called blowout regime, quasi-monoenergetic electron bunches could be produced. Progress in LWFA beam quality and stability has always been tied to improvements in machine control and experimental diagnostics. One such...
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Prof. Arkady Gonoskov (University of Gothenburg)26.01.22, 18:50
A key problem in experimental diagnostics of laser-plasma interactions is identifying the interaction scenario using only limited measurement data. Using numerical simulations for training ML models to recognize interactions via measurements has the potential to become a powerful paradigm for complex experimental arrangements. This is because such ML-based diagnostics does not require either...
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Peter Steinbach (Helmholtz-Zentrum Dresden-Rossendorf)26.01.22, 19:00
In this talk, I'd like to present modern machine learning tools for estimating the posterior of the inverse problem exposed in a beam control setting. That is, given an experimental beam profile, I'd like to demonstrate tools that help to estimate which simulation parameters might have produced a similar beam profile with high likelihood.
We summarize preliminary findings bound to optimize...
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Kelli Humbird (LLNL)27.01.22, 16:15
Standard computer simulations for indirect drive inertial confinement fusion, without platform-specific corrections, often show discrepancy with experiments. In this talk, we present a machine learning based method for training models that correct for this discrepancy.
We combine simulation and experimental data via a technique called “transfer learning” to produce a model that is...
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Nico Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)27.01.22, 16:45
We will be reviewing recent machine learning techniques from the perspective of compact Laser-particle accelerators (electron and ions). High-fidelity simulations of the involved physical phenomena are carried out by computationally-expensive particle-in-cell simulations which are used for planning of experiments as well as subsequent analysis. We will be discussing methods for surrogate...
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Tudor Pascu (ELI-NP)27.01.22, 17:20
The High Power Laser System (HPLS) at ELI-NP / IFIN-HH operation produces a large quantity of data. The laser beam profile images collected from the diagnostics bench help characterize the quality of the system’s operation. The present work focuses on the problem of image classification in order to augment the beam profile qualitative analysis. This leads to the application of machine...
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Eva Los (Imperial College London)27.01.22, 17:40
Radiation reaction, the recoil of a charge upon emitting radiation, is the subject of ongoing theoretical and experimental research, particularly in highly intense electromagnetic fields in which quantum effects become significant. In such environments, a QED treatment of radiation reaction is required. Various suitable theories have been proposed but have yet to be validated...
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Faran Irshad (CALA-LMU Munich)27.01.22, 18:00
Bayesian optimization has proven to be an efficient method to optimize expensive-to-evaluate systems such as a Laser Wakefield Accelerator (LWFA). However, depending on the cost of single observations, multi-dimensional optimizations of one or more objectives (Pareto optimization) may still be prohibitively expensive. Multi-fidelity optimization remedies this issue by including multiple,...
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