ArticleJournal of synchrotron radiation2021
Contrast - a lightweight Python framework for beamline orchestration and data acquisition.
Article in Journal of synchrotron radiation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Flexible design in the stomatopod dactyl club.IUCrJ · 2023Article
- Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA.Journal of synchrotron radiation · 2022Article
- Dose-efficient multimodal microscopy of human tissue at a hard X-ray nanoprobe beamline.Journal of synchrotron radiation · 2022Article
- Design and performance of a dedicated coherent X-ray scanning diffraction instrument at beamline NanoMAX of MAX IV.Journal of synchrotron radiation · 2022Article
- NanoMAX: the hard X-ray nanoprobe beamline at the MAX IV Laboratory.Journal of synchrotron radiation · 2021Article
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Authors and funding
8 authors.
Funding
Abstract
The emergence of fourth-generation synchrotrons is prompting the development of new systems for experimental control and data acquisition. However, as general control systems are designed to cover a wide set of instruments and techniques, they tend to become large and complicated, at the cost of experimental flexibility. Here we present Contrast, a simple Python framework for interacting with beamline components, orchestrating experiments and managing data acquisition. The system is presented and demonstrated via its application at the NanoMAX beamline of the MAX IV Laboratory.
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Registered trials
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