MISTBolometricCorrectionGrid#

class cogsworth.obs.mist.MISTBolometricCorrectionGrid(bands: tuple[str] = ('G', 'BP', 'RP'), cache_dir: Path = PosixPath('/home/docs/.MIST_bc_grids'), rebuild: bool = False)[source]#

Bases: object

Download, cache, and ingest MIST bolometric correction grids.

Parameters:
bandstuple[str]

tuple of photometric bands to include (e.g. (“LSST_u”, “BP”, “G”, “RP”))

cache_dir

directory where tarballs, extracted files, and HDF5s are stored (default: ~/.MIST_bc_grids)

Attributes Summary

bands

cache_dir

rebuild

Methods Summary

build_hdf5(filter_set)

Build (or rebuild) a single HDF5 file for a filter set.

download_filter_set(filter_set)

Download the MIST BC tarball for a given filter set (e.g.

extract_filter_set(filter_set)

Extract a downloaded tarball into a subdirectory of cache_dir.

interp(teff, logg, feh, av[, bands, ...])

Interpolate BCs at (Teff, logg, feh, Av) in that order.

load_hdf5(filter_set)

Load a previously-built HDF5 BC grid.

read_filter_set(filter_set)

Read all BC files for a filter set and concatenate into one DataFrame.

Attributes Documentation

bands: tuple[str] = ('G', 'BP', 'RP')[source]#
cache_dir: Path = PosixPath('/home/docs/.MIST_bc_grids')[source]#
rebuild: bool = False[source]#

Methods Documentation

build_hdf5(filter_set: str) → Path[source]#

Build (or rebuild) a single HDF5 file for a filter set.

download_filter_set(filter_set: str) → Path[source]#

Download the MIST BC tarball for a given filter set (e.g. ‘LSST’).

extract_filter_set(filter_set: str) → Path[source]#

Extract a downloaded tarball into a subdirectory of cache_dir.

interp(teff: float | ndarray, logg: float | ndarray, feh: float | ndarray, av: float | ndarray, bands: tuple[str, ...] | None = None, silence_bounds_warning: bool = False) → Series | DataFrame[source]#

Interpolate BCs at (Teff, logg, feh, Av) in that order.

Returns:
  • Series if all inputs are scalar
  • DataFrame if any input is array-like (one row per broadcasted point)
load_hdf5(filter_set: str) → DataFrame[source]#

Load a previously-built HDF5 BC grid.

read_filter_set(filter_set: str) → DataFrame[source]#

Read all BC files for a filter set and concatenate into one DataFrame.