# Steve Goldman, Space Telescope Science Institute, sgoldman@stsci.edu
import numpy as np
[docs]
class fitting_parameters(object):
"""Initializes fitting paramters."""
def __init__(
self,
file_names: list,
source: str,
distance: float,
grid: str,
n: int,
model_wavelength_grid: np.ndarray,
full_model_grid,
full_outputs,
min_wavelength: float,
max_wavelength: float,
save_model_spectrum: bool,
testing: bool,
):
"""Initializes fitting paramters.
Parameters
----------
file_names : array of strings
Array of the locations of target files.
e.g.) array(['desk/put_target_data_here/MSX_LMC_807.csv'])
source : str
input source string.
e.g.) 'desk/put_target_data_here/'
distance : float
Distance to source in kpc.
grid : str
Name of model grid to be used.
n : int
Number of times to scale model grid between config.fitting.lum_min
and config.fitting.lum_min. A value to alter the density of the grid.
model_wavelength_grid : array
A 1-D np.array of the wavelengths of the model grid.
full_model_grid : astropy table
1-Column astropy table with arrays of model grid fluxes (wm-2) as rows.
full_outputs : astropy table
Model outputs as 2D astropy table.
min_wavelength : float
Minimum wavelength to fit (um).
max_wavelength : float
Maximum wavelength to fit (um).
save_model_spectrum : bool
Whether to use save_model function on fit results.
testing : bool
Flag for testing, used to limit size of model grid.
Returns
-------
class variable
Class with all fitting parameters.
"""
# Initialize user-inputted data
self.file_names = file_names
self.source = source
self.distance = distance
self.grid = grid
self.n = n
self.model_wavelength_grid = model_wavelength_grid
self.full_model_grid = full_model_grid
self.full_outputs = full_outputs
self.min_wavelength = min_wavelength
self.max_wavelength = max_wavelength
self.save_model_spectrum = save_model_spectrum
self.testing = testing