Software and Datasets
Below are the open-source software and dataset repositories that have been developed as part of the SYMPHONY project.
Software:
- LEMONS: point-spread fitting of TESS images to extract light curves
Github repository: https://github.com/pieterjanv314/Lemons - TEA-Phot: adapTive Elliptical Aperture PHOTometry
Bitbucket repository: https://bitbucket.org/DominicBowman/tea-phot/src/master/
Flexible and user-interactive pipeline to extract (differential) light curves for ground-based photometry, such as MAIA@Mercator
Datasets:
- Zenodo repository of supporting data for peer-reviewed publication: "Asteroseismology of SPB stars: a comparison of forward asteroseismic modelling results from Kepler and TESS" (Scott & Bowman, 2026, MNRAS, Volume 545, Issue 3, id.staf2174, 25 pp.), DOI: 10.5281/zenodo.17963813
- Zenodo repository of supporting data for peer-reviewed publication: "Large-scale variability in macroturbulence driven by pulsations in the rapidly rotating massive star ζ Oph from high-cadence ESPRESSO spectroscopy and TESS photometry" (Kalita et al. 2025, A&A, Volume 703, A2), DOI: 10.5281/zenodo.17233369
- ESPRESSO/VLT ESO raw and pipeline-reduced telescope data for peer-reviewed publication: "Large-scale variability in macroturbulence driven by pulsations in the rapidly rotating massive star ζ Oph from high-cadence ESPRESSO spectroscopy and TESS photometry" (Kalita et al. 2025, A&A, Volume 703, A2), ESO archive: https://telbib.eso.org/index.php?programid=113.26B9
- Zenodo repository of supporting data for peer-reviewed publication: "Characterization of B-type stars in four young Galactic open clusters – I. Stellar content and binary properties" (Nardini et al. 2025, MNRAS, Volume 540, Issue 3, pp. 2009-2030), DOI: 10.5281/zenodo.14999883
- Zenodo repository of supporting data for peer-reviewed publication: 'Photometric detection of internal gravity waves in upper main-sequence stars. IV. Comparable stochastic low-frequency variability in SMC, LMC, and Galactic massive stars' (Bowman et al. 2024, A&A, Volume 692, A49), DOI: 10.5281/zenodo.14018448



