EXCEEDS logo
Exceeds
Arnulfjsn

PROFILE

Arnulfjsn

Over three months, contributed to the NQCP/NQCP-Phot-Git-Drivers repository by developing and refining instrument control and data acquisition workflows for spectrometers and time taggers. Built Python-based drivers and calibration routines for Andor devices, enabling automated spectral acquisition, wavelength calibration, and robust startup sequences. Enhanced hardware integration by decoupling instrument classes and improving configuration flexibility, while also addressing initialization reliability and reducing setup latency. Delivered cross-language support with Python, C++, and Mathematica examples for time tagger drivers, expanding automation and measurement capabilities. The work emphasized backend development, embedded systems, and scientific computing to improve data quality, reliability, and experimental throughput.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

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

Your Network

11 people

Shared Repositories

11
Amedeo CarboneMember
Quantum Training Lab NQCPMember
rodadrthomasMember
Magnus Linnet MadsenMember
added powershell backupMember
magn5452Member
MattiMember
math920kMember
math920kMember

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

Loading activity data...

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