X-Ray Microscopy at Sirius, the New Brazilian Synchrotron Light Source

Westfahl, Harry; Tolentino, H.; Meneau, Florian; Archilha, Nathaly L.; Neto, Narcizo Marques de Souza; Liu, Lin; Sanfelici, Lucas; Meyer, Bernd; Polli, Jean Marie; Miqueles, Eduardo X.

doi:10.1017/s1431927618013235

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…However, when a mixed state of misalignment takes place, the coefficients may be summed in a way that makes the identification of the misaligned DOF puzzling, if not impossible. For example, figure 4 shows that both Rx 1 and z 1 affect the same Zernike coefficients, j = (3,4,6), which creates an ambiguity. This is in accordance with the discussion in the previous section about the correction of misalignment of the longitudinal positioning with adjustments in the mirror's incidence angle.…”

Section: Zernike Polynomialsmentioning

confidence: 99%

“…Because they are in general achromatic * and allow relatively large acceptance of the beam and working distance, they are the choice for nanofocusing optics at Sirius. 3,4 It is well known that the alignment and stability of these optical systems are critical for high-resolution experiments. The proper alignment of these optics can only be achieved if diagnostics of the X-ray beam aberrations are available with sufficient sensitivity.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostics of KB mirrors misalignments using Zernike rectangular polynomials and neural networks

Luiz

Bueno²,

Silva³

et al. 2022

Advances in X-Ray/Euv Optics and Components XVII

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The fine alignment of X-ray nano-focusing optics, such as Kirkpatrick-Baez (KB) mirrors, depends strongly on the ability to diagnose the X-ray beam at the focus position. Despite conventional diagnostics techniques (e.g. knife-edge) allowing the measurement of the beam profile with sub-micrometer resolution, they may yield poor accuracy for beams with sizes under 100 nm. With nanometer-resolution phase-recovering techniques like ptychography, information about optical aberrations can be obtained experimentally in the complex-valued wavefront. In this work, we use wave-propagation simulations with Synchrotron Radiation Workshop (SRW) to model the CARNAÚBA beamline at Sirius. The beam phase at the KB mirrors exit pupil is decomposed in terms of Zernike rectangular polynomials. The relevant degrees of freedom (DOF) of the mirrors are scanned, allowing the correlation of the Zernike coefficients with the beam profile at focus. Therefore, the aberrations are classified and quantified for each mirror’s DOF, and alignment tolerances are obtained. We find that each DOF can be described by a unique combination of only three Zernike terms. Additionally, a database with the first 15 Zernike coefficients is created by simulating random alignment states and used to train a simple fully-connected neural network. The neural network was able to determine the alignment states of unknown samples with errors below 3%. The combination of Zernike polynomials and neural networks could potentially lead to single-iteration alignment of KB mirrors using wavefront sensing techniques as a diagnostic tool.

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Section: Zernike Polynomialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnostics of KB mirrors misalignments using Zernike rectangular polynomials and neural networks

Luiz

Bueno²,

Silva³

et al. 2022

Advances in X-Ray/Euv Optics and Components XVII

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“…It will also extend photon correlation techniques into the regime of nanoseconds (Khubbutdinov et al, 2019). The gain in coherent flux brought by the fourth-generation light sources allows experimental data to be obtained within a few seconds (Westfahl et al, 2018). Along with the development of the light source, high-frame-rate detectors are also widely used in synchrotron radiation experiments on beamlines.…”

Section: Introductionmentioning

confidence: 99%

A distributed data processing scheme based on Hadoop for synchrotron radiation experiments

Zhang,

Dai,

Sun

et al. 2024

J Synchrotron Radiat

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With the development of synchrotron radiation sources and high-frame-rate detectors, the amount of experimental data collected at synchrotron radiation beamlines has increased exponentially. As a result, data processing for synchrotron radiation experiments has entered the era of big data. It is becoming increasingly important for beamlines to have the capability to process large-scale data in parallel to keep up with the rapid growth of data. Currently, there is no set of data processing solutions based on the big data technology framework for beamlines. Apache Hadoop is a widely used distributed system architecture for solving the problem of massive data storage and computation. This paper presents a set of distributed data processing schemes for beamlines with experimental data using Hadoop. The Hadoop Distributed File System is utilized as the distributed file storage system, and Hadoop YARN serves as the resource scheduler for the distributed computing cluster. A distributed data processing pipeline that can carry out massively parallel computation is designed and developed using Hadoop Spark. The entire data processing platform adopts a distributed microservice architecture, which makes the system easy to expand, reduces module coupling and improves reliability.

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“…Ptychography (Rodenburg et al, 2007;Thibault et al, 2008;Pfeiffer, 2018) has become the most versatile and promising coherent diffractive imaging (CDI) technique (Chapman et al, 2006), being a high-resolution scanning-type microscopy capable of imaging conceptually unbounded samples at diffraction-limited resolutions. Because of that, it has seen interest at several synchrotron facilities around the globe, including on the Carnau ´ba beamline (Tolentino et al, 2017(Tolentino et al, , 2019 currently under construction at the new fourthgeneration synchrotron source, Sirius, in Brazil (Rodrigues et al, 2019;Westfahl et al, 2018). This new source is currently under commissioning by the Brazilian Synchrotron Light Laboratory (LNLS), operated by the Brazilian Center for Research in Energy and Materials.…”

Section: Introductionmentioning

confidence: 99%

Fast reconstruction tools for ptychography at Sirius, the fourth-generation Brazilian synchrotron

et al. 2020

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Described here are image reconstruction optimizations for ptychographic coherent X-ray scattering data and X-ray fluorescence, which have been developed for the new fourth-generation synchrotron light source, Sirius, at the Brazilian Synchrotron Light Laboratory. The optimization strategy has been applied to the standard experimental strategy for ptychographic and fluorescence experiments on the Carnaúba beamline which involves the use of high-speed continuous scans (fly scans) for a fast acquisition time over large areas through the use of a newly proposed trajectory named the alternating linear trajectory. The scientific computing developments presented here target an efficient use of graphical processing units (GPUs) to the point where large fly-scan acquisitions can be processed in real time on a local high-performance computer. Some optimizations involving a custom fast Fourier transform implementation and use of mixed precision can be applied to other algorithms and phase-retrieval techniques, and therefore this work provides a general optimization scheme. Finally, the optimization strategy presented here has improved performance by a factor of ∼2.5 times faster when compared with non-optimized GPU implementations.

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X-Ray Microscopy at Sirius, the New Brazilian Synchrotron Light Source

Cited by 4 publications

References 4 publications

Diagnostics of KB mirrors misalignments using Zernike rectangular polynomials and neural networks

Diagnostics of KB mirrors misalignments using Zernike rectangular polynomials and neural networks

A distributed data processing scheme based on Hadoop for synchrotron radiation experiments

Fast reconstruction tools for ptychography at Sirius, the fourth-generation Brazilian synchrotron

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