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Arnulfjsn

PROFILE

Arnulfjsn

Arnulf developed robust instrument automation and calibration workflows for the NQCP/NQCP-Phot-Git-Drivers repository, focusing on spectrometer and camera control, data acquisition, and reliable hardware integration. He engineered Python-based drivers and end-to-end scripts for Andor spectrographs and cameras, enabling repeatable spectral measurements and wavelength calibration. His work included refactoring initialization flows for immediate device readiness, integrating calibration coefficient retrieval, and supporting cross-channel correlation measurements with time tagger drivers in Python and C++. By aligning data acquisition channels with hardware configurations and enhancing documentation, Arnulf improved experimental reliability, data quality, and onboarding for researchers, demonstrating depth in backend and embedded systems development.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

11Total
Bugs
1
Commits
11
Features
6
Lines of code
32,776
Activity Months3

Work History

June 2025

5 Commits • 2 Features

Jun 1, 2025

June 2025 focused on delivering robust instrument capabilities for NQCP-Phot-Git-Drivers, with emphasis on calibration workflows, reliable startup, and cross-channel measurement capabilities. Key features delivered include the Andor_Spectrometer instrument class with calibration coefficient retrieval and wavelength arrays, enabling calibrated measurements and richer instrument configurations; extended Kymera/Newton settings to support calibrated measurements and more flexible instrument configurations. We also enhanced startup reliability by making spectrograph initialization robust on server connect, moving detector parameter initialization into the connect flow for immediate readiness. Additionally, the Magnus Time Tagger driver and Swabian histogram capabilities were added, including cross-language examples (Python/C++/Mathematica) and configurable integration time for cross-channel correlation measurements. These efforts improve reliability, data quality, and experimental throughput, while expanding automation and instrument control capabilities.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025: Focused feature delivery in NQCP/NQCP-Phot-Git-Drivers. Implemented Test Script Channel Configuration Update for Swabian Time Tagger to align data acquisition channels with testing requirements and hardware configurations, improving test reliability and reducing setup time. Commit 8611ea1dc20454029c6be0814bdd3fba3f521ea3 captured for traceability.

March 2025

5 Commits • 3 Features

Mar 1, 2025

March 2025 monthly summary for the NQCP/NQCP-Phot-Git-Drivers workstream. Delivered foundational spectrometer and camera automation capabilities, refined driver robustness, and setup end-to-end workflows with calibration and plotting. Focused on enabling repeatable spectral acquisition, accurate wavelength calibration, and streamlined onboarding for researchers and engineers. Note: connectivity issues persist in the current implementation and require follow-up. Highlights include: - Kymera SDK2 Python integration for Andor devices with a new Kymera328 pyAndorSDK2 library, documentation (README) detailing installation, libraries, common methods, and practical acquisition, cooling, and data-saving examples; added new example scripts to demonstrate functionality. - Enhancements to the Andor Newton spectrograph/camera driver: refactored initialization and data acquisition, integrated a Spectograph_Calibration class for converting pixel data to wavelength, verbose outputs, and utilities to list available cameras and set the active camera. - End-to-end spectrometer and camera control scripts: initialization of Kymera spectrograph and Newton camera, configurable acquisition parameters, image capture, wavelength calibration plotting using a calibration dictionary, and a robust data-friendly shutdown sequence; includes semifunctional and simpleMain variants to demonstrate driver usage.

Activity

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Quality Metrics

Correctness80.0%
Maintainability81.8%
Architecture78.2%
Performance67.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

C#C++LabVIEWMathematicaPDFPython

Technical Skills

Backend DevelopmentCalibrationCamera ControlData AcquisitionData CalibrationData VisualizationDevice ControlDriver DevelopmentEmbedded SystemsHardware ControlHardware IntegrationHardware TestingInstrument ControlLow-Level ProgrammingPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

NQCP/NQCP-Phot-Git-Drivers

Mar 2025 Jun 2025
3 Months active

Languages Used

PDFPythonC#C++LabVIEWMathematica

Technical Skills

CalibrationCamera ControlData AcquisitionData VisualizationDevice ControlDriver Development

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