Pipeline of Radiative Intensity
Synthesis for SPAMMS (PRISMAS)
High-resolution spectral synthesis for SPAMMS
PRISMAS is a powerful Python script designed to bridge the gap between standard stellar atmosphere models and the SPAMMS framework. By utilizing the synple library, it synthesizes specific intensities and calibrated fluxes with high-resolution angular interpolation, offering full flexibility for custom-made spectral libraries.
Key Applications
Atmospheric Modeling
Bridging LTE and non-LTE regimes to provide consistent spectral coverage across the entire Hertzsprung-Russell diagram.
Library Expansion
Generating comprehensive, custom-made spectral libraries for O- to K-type stars to fill gaps in existing atmospheric grids.
Precise Limb Darkening Modelling
Using the customizable μ grid to derive precise limb-darkening coefficients, critical for precise stellar modelling.
HPC Batch Processing
Efficiently computing large-scale grids across high-performance clusters for population synthesis studies.
Scientific Context & Results: Galán-Diéguez et al. (2026)
PRISMAS has been fundamental in expanding the parameter space required for realistic spectral synthesis of O- to K-type stars. This tool was successfully used in Galán-Diéguez et al. (2026) to compute an extensive library of stellar atmosphere grids (both LTE and non-LTE). This expansion allows the SPAMMS framework to account for surface distortions due to rotation or multiplicity with unprecedented precision across a much broader range of spectral types.
While the complete modeling methodology and grid distributions are documented in Galán-Diéguez et al. (2026), we have provided a summary of the library's technical specifications below for quick reference:
- Spectral Coverage: Complete range from 1000 to 9000 Å (ultraviolet to optical).
- High-Resolution Sampling: Wavelength step of Δλ = 0.01 Å.
- Microturbulence: Discrete values of 1, 3, 5, and 10 km/s.
- Angular Resolution: 101 discrete emergent angles (μ=cos(θ) values).
- Storage Optimization: Models saved as optimized .npy files within .tar.gz folders.
- Important Note: The complete grids described in the Galán-Diéguez et al. (2026) have already been computed and are available for direct use. Due to their large file size, they are not publicly hosted; however, researchers may obtain these model atmospheres by contacting the authors directly.
