Data Analysis tools for the Compact X-ray Light Source and Compact X-ray Free Electron Laser facilities at Arizona State University

TL;DR

This paper discusses the development of data analysis tools for new X-ray facilities at Arizona State University, focusing on applications in biology and physics.

Contribution

The paper introduces novel AI/ML-based tools for real-time and offline analysis of data from compact X-ray sources.

Findings

AI/ML-based crystal hitfinder and image sorter are being developed for online analysis.

Small Angle X-ray Scattering analysis tools and calibration pipelines are under development.

The tools aim to support studies of biological macromolecules and quantum materials.

Abstract

The Compact X-ray Light Source (Figure 1) and Compact X-ray Free Electron Laser [1], [2] that are currently undergoing commissioning and construction, respectively, at Arizona State University will be the first of their kind with applications in structural biology, medical imaging, atomic, molecular and optical physics as well as studying condensed matter and quantum materials.

The unique characteristics of the ultrashort X-ray pulses produced by both sources at kilohertz repetition rates necessitate novel and new data analysis algorithms and tools as well as supportive cyber infrastructure at ASU. Here we will report on the current state of the data analysis support and tools currently under development at CXLS/CXFEL for studying biological macromolecules at these sources for both online (real- time) and offline analysis. These include an AI/ML-based crystal hitfinder, integration of an AI/ML-based image sorter [3], Small Angle X-ray Scattering analysis tools, calibration pipelines etc.