Advanced Photon Source Upgrade Project Final Design Report

Abstract

60439. For information about Argonne and its pioneering science and technology programs, see www.anl.gov. Cover illustration:A simulation of a speckled scattering pattern produced by particles undergoing fast Brownian motion. The detail in the speckle pattern demonstrates the over two-order of magnitude increase in x-ray coherence that will be produced by the APS-U and XPCS Feature Beamline.

Magnets for Low-Emittance Storage Rings an Overview

“…Magnet data are available at [24]. The project APS-U is currently under construction with many magnets already built; its magnet parameters were extracted from [10]. Measurement data were not available to the authors.…”

“…Successful commissioning of the MAX IV accelerator [1] pushes other projects to pursue the concept of a small periodic structure in the accelerator: ESRF-EBS [8], SIRIUS [9], APS-U [10], HEPS [11], SKIF [12], ALS-U [13], Elettra 2 [14], PETRA IV [15], SLS-2 [16] and Diamond II [17]. Furthermore upgrades are planned for other accelerators e.g.…”

ROI-Finder: machine learning to guide region-of-interest scanning for X-ray fluorescence microscopy

“…The Bionanoprobe (BNP) at beamline 9-ID of the Advanced Photon Source (APS) at Argonne National Laboratory focuses on advancing synchrotron-based X-ray fluorescence (XRF) imaging and elemental mapping techniques for a broad range of biological studies including the imaging of mouse fibroblast cells (Chen et al, 2015), the effect of nanomedicine on rabbit liver tissues via sulfur maps (Deng et al, 2022), a simultaneous qualitative investigation of structural features and quantitative elemental maps of ex vivo tissues (Genoud et al, 2020), and specifying discrete zinc-enriched vesicles in oocyte growth and egg fertilization via single-cell level zinc mapping (Que et al, 2015). Facilitation of further scientific discovery at the 9-ID beamline as well as other beamlines at the APS and their consequent scientific impact is expected to accelerate with the upcoming APS upgrade (APS-U) providing higher-energy X-rays for faster measurement and higher resolution (Fornek, 2019). The orders-of-magnitude increase in acquired XRF images necessitates integration of machine-learning methods for data analysis, smart experi-mentation, and autonomous decision-making for interpretation and exploration of high-dimensional parameter spaces.…”

XRF-ROI-Finder: Machine learning to guide region-of-interest scanning for X-ray fluorescence microscopy

“…The Bionanoprobe (BNP) at beamline 9-ID of the Advanced Photon Source (APS) at Argonne National Laboratory focuses on advancing synchrotron-based X-ray fluorescence (XRF) imaging and elemental mapping techniques for a broad range of biological studies including the imaging of mouse fibroblast cells (Chen et al, 2015), the effect of nanomedicine on rabbit liver tissues via sulfur maps (Deng et al, 2022), a simultaneous qualitative investigation of structural features and quantitative elemental maps of ex vivo tissues (Genoud et al, 2020), specifying discrete zinc-enriched vesicles in oocyte growth and egg fertilization via single-cell level zinc mapping (Que et al, 2015). Facilitation of further scientific discovery at 9-ID beamline as well as other beamlines at APS and their consequent scientific impact is expected to accelerate with the upcoming Advanced Photon Source Upgrade (APS-U) providing higher energy X-rays for faster measurement and higher resolution (Fornek, 2019). The orders-of-magnitude increase in acquired XRF images necessitates integration of machine learning meth-2022/08/02 ods for data analysis, smart experimentation and for autonomous decision-making for interpretation and exploration of high-dimensional parameter spaces.…”