0415 first upload

import numpy as np

class config():

    """

    The configuration of spectral modeling. The default value is used for ETC calculation.

    Parameters

    ----------

    wave_min : float, optional

        Minimum value of wavelength coverage, by default 3500.0A

    wave_max : float, optional

        Minimum value of wavelength coverage, by default 10000.0A

    dlam : float, optional

        Wavelength width of each spaxel, by default 2.0A

    inst_fwhm : float, optional

        Spectral resolution, by default 0.1A

    nx : int, optional

        Number of spaxel in a spatial direction, by default 30

    ny : int, optional

        Number of spaxel in a spatial direction, by default 30

    dpix : float, optional

        Pixel size in the spatial direction, by default 0.2arcsec

    """

    def __init__(self, wave_min = 3500.0, wave_max = 10000.0, 

                 dlam = 2.0, inst_fwhm = 0.1,

                 nx = 30, ny = 30, dpix = 0.2):

        self.dlam = dlam

        self.wave = np.arange(wave_min, wave_max, dlam)

        self.wave_min = wave_min

        self.inst_fwhm = inst_fwhm

        self.nx = nx

        self.ny = ny

        self.dpix = dpix

        self.fov_x = nx * dpix

        self.fov_y = ny * dpix

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import astropy.units as u

import numpy as np

from scipy.interpolate import interp1d

from .spec1d import *

import astropy.wcs

class Cube3D():

    """

    Class of 3-dimentional spectral cube

    """

    def __init__(self, config, stellar_map = None, gas_map = None):

        self.config= config

        self.nx    = config.nx

        self.ny    = config.ny

        self.dpix  = config.dpix

        self.fov_x = config.fov_x

        self.fov_y = config.fov_y

        self.wave  = config.wave

        self.nz    = len(self.wave)

        self.wave0 = np.min(self.wave)

        self.inst_fwhm = config.inst_fwhm

        self.flux  = np.zeros((self.nx,self.ny,self.nz))

        self.stellar_map = stellar_map

        self.gas_map     = gas_map

    def make_cube(self, stellar_tem = None, hii_tem = None):

        for i in range(self.nx):

            for j in range(self.ny):

                if self.stellar_map is not None:

                    ss = StellarContinuum(self.config, stellar_tem, mag = self.stellar_map.mag[i,j], 

                                          age = self.stellar_map.age[i,j], feh = self.stellar_map.feh[i,j], 

                                          vel = self.stellar_map.vel[i,j], vdisp = self.stellar_map.vdisp[i,j], 

                                          ebv = self.stellar_map.ebv[i,j])

                if self.gas_map is not None:

                    gg = HII_Region(self.config, hii_tem, halpha = self.gas_map.halpha[i,j], 

                                    logz = self.gas_map.zh[i,j], vel = self.gas_map.vel[i,j], 

                                    vdisp = self.gas_map.vdisp[i,j], ebv = self.gas_map.ebv[i,j])

                    self.flux[i,j,:] = ss.flux + gg.flux

                else:

                    self.flux[i,j,:] = ss.flux

    def wcs_info(self):

        wcs = fits.Header()

        wcs_dict = {'CTYPE1': 'WAVE    ', 

                    'CUNIT1': 'Angstrom', 

                    'CDELT1': self.config.dlam, 

                    'CRPIX1': 1, 

                    'CRVAL1': np.min(self.wave), 

                    'CTYPE2': 'RA---TAN', 

                    'CUNIT2': 'deg', 

                    'CDELT2': self.dpix / 3600., 

                    'CRPIX2': np.round(self.ny / 2.), 

                    'CRVAL2': 0.5, 

                    'CTYPE3': 'DEC--TAN', 

                    'CUNIT3': 'deg', 

                    'CDELT3': self.dpix / 3600., 

                    'CRPIX3': np.round(self.nx / 2.), 

                    'CRVAL3': 1, 

                    'BUNIT' : '10**(-17)*erg/s/cm**2/Angstrom'}

        input_wcs = astropy.wcs.WCS(wcs_dict)

        self.wcs_header = input_wcs.to_header()

    def insert_spec(self, spec, dx = 0, dy = 0):

        x0 = np.int(np.round(self.config.nx / 2.))

        y0 = np.int(np.round(self.config.ny / 2.))

        self.flux[x0 + dx, y0 + dy, :] = self.flux[x0 + dx, y0 + dy, :] + spec.flux

    def savefits(self, filename, path = './'): 

        hdr = fits.Header()

        hdr['FILETYPE'] = 'SCICUBE'

        hdr['CODE']     = 'CSST-IFS-GEHONG'

        hdr['VERSION']  = '0.0.1'

        hdr['OBJECT']   = 'NGC1234'

        hdr['RA']       = 0.0

        hdr['DEC']      = 0.0

        hdu0 = fits.PrimaryHDU(header = hdr)

        self.wcs_info()

        hdr = self.wcs_header

        hdu1 = fits.ImageHDU(self.flux, header = hdr)

        # Output

        hdulist = fits.HDUList([hdu0, hdu1])

        hdulist.writeto(path + filename, overwrite = True)

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