Sep 23 – 27, 2024
ESRF Auditorium
Europe/Paris timezone

DRACO-HELIPORT integration for metadata enhanced data-acquisition

Sep 26, 2024, 2:25 PM
15m
Hybrid event (ESRF Auditorium)

Hybrid event

ESRF Auditorium

EPN Campus ESRF - ILL 71 Av. des Martyrs, 38000 Grenoble
Talk FAIR data management FAIR data management

Speaker

Mani Lokamani (Helmholtz-Zentrum Dresden-Rossendorf)

Description

The Dresden laser acceleration source (DRACO) is a state-of-the-art high-power ultra-short pulse laser system[1,2], that uses an Amplitude Technologies Pulsar architecture to form main and diagnostics beams at different focal lengths and target density conditions. The setup can deliver from 6J to 45J of pulse energy at a typical pulse duration of 30fs and a typical frequency of 1Hz. During the diagnostic phase, the beam characteristics are recorded in the form of images and several instrument parameters, that shape the beam to desired characteristics.

In this talk, we present our approach of implementing FAIR principles to DRACO operations and monitoring using our in-house guidance system HELIPORT[3], with the goal of making them reusable irrespective of the downstream experiment. We employ FAIR workflows[4] to post-process data collected by DRACO's built-in data acquisition system and enrich it with metadata for subsequent utilization in machine-learning and optimization algorithms for accurate control of the beam characteristics. The integration of DRACO and HELIPORT demonstrates the first step towards establishing a digital twin for the laser source facility at HZDR.

References
[1] First results with the novel Petawatt laser acceleration facility in Dresden, U. Schramm et al, J. Phys. Conf. Ser. 874 012028 (2017)
[2] High dynamic, high resolution and wide range single shot temporal pulse contrast measurement, T. Oksenhendler et. al., Opt. Express 25, 12588-12600 (2017)
[3] HELIPORT: A Portable Platform for FAIR {Workflow | Metadata | Scientific Project Lifecycle} Management and Everything, O. Knodel et. al., P-RECS (2021)
[4] FAIR Computational workflows, C. Goble et. al., Data Intelligence (2020) 2, 108 (2020)

Abstract publication I agree that the abstract will be published on the web site

Primary author

Mani Lokamani (Helmholtz-Zentrum Dresden-Rossendorf)

Co-authors

David Pape (Helmholtz-Zentrum Dresden - Rossendorf (HZDR)) Oliver Knodel (Helmholtz-Zentrum Dresden-Rossendorf) Dr Stefan Bock (Helmholtz-Zentrum Dresden-Rossendorf) Prof. Ulrich Schramm (Helmholtz-Zentrum Dresden-Rossendorf) Jeffrey Kelling (Helmholtz-Zentrum Dresden - Rossendorf (HZDR)) Guido Juckeland (Helmholtz-Zentrum Dresden - Rossendorf (HZDR))

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