Installation¶

From PyPI¶

pip install sed-model

The PyPI release is a source distribution: pip builds the Fortran extension on your machine during installation, so you need a Fortran compiler available (see Requirements).

From source¶

git clone https://github.com/nialljmiller/SED_Model.git
cd SED_Model
python -m pip install -e .

Building the Fortran extension¶

Performance-critical paths (SED interpolation, flux dilution, integration, filter convolution, zero-points) live in two Fortran files:

fortran/cc_kernels.f90
fortran/cc_api.f90

These are compiled into the sed_model.cc_api extension module. For an editable install, build in place with either:

python setup.py build_ext --inplace

or:

make

Both routes drive f2py; with NumPy ≥ 1.26 the f2py backend uses Meson and Ninja under the hood.

The Fortran extension is required at run time, not import time

import sed_model succeeds without the compiled extension — cc_api is loaded lazily on the first run_forward call. If the extension is missing you will get an ImportError at that point with instructions to run make.

Requirements¶

Requirement	Purpose
Python ≥ 3.10
`numpy` ≥ 1.22	arrays, `f2py`
`pandas` ≥ 1.5	lookup-table validation
`emcee` ≥ 3.1	inverse-model MCMC sampling
`gfortran`	compiling the Fortran kernels
`meson`, `ninja`	`f2py` build backend
`matplotlib`	optional — plotting in the demo scripts only

The optional extras defined in pyproject.toml:

pip install "sed-model[dev]"    # adds pytest
pip install "sed-model[demo]"   # adds matplotlib

Data products¶

SED_Model consumes data prepared by SED_Tools:

an atmosphere grid directory containing flux_cube.bin (and a lookup_table.csv for optional validation), and
filter transmission files (two-column .dat: wavelength in Å, transmission 0–1), optionally organised into instrument directories with an index file.

A Vega reference SED (CSV: wavelength Å, flux erg/s/cm²/Å) is required only if you want Vega-system zero-points. See Grids and Filters for the formats in detail.