Paper | Title | Page |
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TUOA02 | Conceptual Design of the Cavity Mechanical System for Cavity-Based X-Ray Free Electron Laser | 103 |
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Funding: Work supported by the U.S. Department of Energy, Office of Science, under Contract DE-AC02-06CH1 1357 (ANL) and DE-AC02-76SF00515 (SLAC). The concept behind the cavity-based X-ray FELs (CBXFELs) such as the X-ray free-electron laser oscillator (XFELO)* and the X-ray regenerative amplifier free-electron laser (XRAFEL)** is to form an X-ray cavity with a set of narrow bandwidth diamond Bragg crystals. Storing and recirculating the output of an amplifier in an X- ray cavity so that the X-ray pulse can interact with following fresh electron bunches over many passes enables the development of full temporal coherence. One of the key challenges to forming the X-ray cavity is the precision of the cavity mechanical system design and construction. In this paper, we present conceptual design of the cavity mechanical system that is currently under development for use in a proof-of-principle cavity-based X-ray free electron laser experiment at the LCLS-II at SLAC. *Kwang-Je Kim et al., TUPRB096, Proceedings of IPAC2019 **Gabe Marcus et al., TUD04, Proceedings of IPAC2019 |
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DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-MEDSI2020-TUOA02 | |
About • | paper received ※ 02 August 2021 paper accepted ※ 05 October 2021 issue date ※ 30 October 2021 | |
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TUPC08 | Design and Development of AI Augmented Robot for Surveillance of High Radiation Facilities | 192 |
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Scientific instruments and utility equipment during the operation of high radiation facilities such as the Advanced Photon Source at the Argonne National laboratory express a challenge to monitor. To solve this, we are developing a self-guided artificially intelligent robot that can allow us to take images to create a thermal and spatial 3D map of its surroundings while being self-driven or controlled remotely. The overall dimension of the robotic vehicle is 20 in length, 7 in width, and 10 in height, which carries a depth perception camera to guide the path, an IR camera for thermography, as well as a cluster of sensors to assist in navigation and measure temperature, radiation, and humidity of the surrounding space. This inexpensive robot is operated by an Nvidia Jetson NanoTM. All controlling and image acquisition programs and routines are written in python for ease of integration with institution-specific operating systems such as EPICS. | ||
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-MEDSI2020-TUPC08 | |
About • | paper received ※ 26 July 2021 paper accepted ※ 02 November 2021 issue date ※ 05 November 2021 | |
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