Purge obsolete pointsources

1 files changed, 0 insertions, 258 deletions

diff --git a/fg21sim/extragalactic/pointsources/starforming.py b/fg21sim/extragalactic/pointsources/starforming.py
deleted file mode 100644
index d4664bb..0000000
--- a/fg21sim/extragalactic/pointsources/starforming.py
+++ /dev/null
@@ -1,258 +0,0 @@
-# Copyright (c) 2016 Zhixian MA <zxma_sjtu@qq.com>
-# MIT license
-
-import numpy as np
-import healpy as hp
-
-# from .psparams import PixelParams
-from .base import BasePointSource
-from ...utils import grid
-from ...utils import convert
-from .psparams import PixelParams
-
-
-class StarForming(BasePointSource):
-    """
-    Generate star forming point sources, inheritate from PointSource class.
-
-    Reference
-    ---------
-    [1] Fast cirles drawing
-        https://github.com/liweitianux/fg21sim/fg21sim/utils/draw.py
-        https://github.com/liweitianux/fg21sim/fg21sim/utils/grid.py
-    """
-
-    def __init__(self, configs):
-        super().__init__(configs)
-        self.columns.append('radius (rad)')
-        self.nCols = len(self.columns)
-        self._set_configs()
-        # Number density matrix
-        self.rho_mat = self.calc_number_density()
-        # Cumulative distribution of z and lumo
-        self.cdf_z, self.cdf_lumo = self.calc_cdf()
-
-    def _set_configs(self):
-        """ Load the configs and set the corresponding class attributes"""
-        super()._set_configs()
-        pscomp = "extragalactic/pointsources/starforming/"
-        # point sources amount
-        self.num_ps = self.configs.getn(pscomp+"numps")
-        # prefix
-        self.prefix = self.configs.getn(pscomp+"prefix")
-        # redshift bin
-        z_type = self.configs.getn(pscomp+"z_type")
-        if z_type == 'custom':
-            start = self.configs.getn(pscomp+"z_start")
-            stop = self.configs.getn(pscomp+"z_stop")
-            step = self.configs.getn(pscomp+"z_step")
-            self.zbin = np.arange(start, stop + step, step)
-        else:
-            self.zbin = np.arange(0.1, 10, 0.05)
-        # luminosity bin
-        lumo_type = self.configs.getn(pscomp+"lumo_type")
-        if lumo_type == 'custom':
-            start = self.configs.getn(pscomp+"lumo_start")
-            stop = self.configs.getn(pscomp+"lumo_stop")
-            step = self.configs.getn(pscomp+"lumo_step")
-            self.lumobin = np.arange(start, stop + step, step)
-        else:
-            self.lumobin = np.arange(17, 25.5, 0.1)  # [W/Hz/sr]
-
-    def calc_number_density(self):
-        """
-        Calculate number density rho(lumo,z) of FRI
-
-        References
-        ----------
-        [1] Wilman et al.,
-             "A semi-empirical simulation of the extragalactic radio continuum
-             sky for next generation radio telescopes",
-             2008, MNRAS, 388, 1335-1348.
-             http://adsabs.harvard.edu/abs/2008MNRAS.388.1335W
-
-        Returns
-        -------
-        rho_mat: np.ndarray
-            Number density matris (joint-distribution of luminosity and
-            reshift).
-        """
-        # Init
-        rho_mat = np.zeros((len(self.lumobin), len(self.zbin)))
-        # Parameters
-        # Refer to Willman's section 2.4
-        alpha = 0.7  # spectral index
-        lumo_star = 10.0**22  # critical luminosity at 1400MHz
-        rho_l0 = 10.0**(-7)  # normalization constant
-        z1 = 1.5  # cut-off redshift
-        k1 = 3.1  # index of space density revolution
-        # Calculation
-        for i, z in enumerate(self.zbin):
-            if z <= z1:
-                rho_mat[:, i] = (rho_l0 * (10**self.lumobin / lumo_star) **
-                                 (-alpha) * np.exp(-10**self.lumobin /
-                                                   lumo_star) * (1 + z)**k1)
-            else:
-                rho_mat[:, i] = (rho_l0 * (10**self.lumobin / lumo_star) **
-                                 (-alpha) * np.exp(-10**self.lumobin /
-                                                   lumo_star) * (1 + z1)**k1)
-
-        return rho_mat
-
-    def get_radius(self):
-        """
-        Generate the disc diameter of normal starforming galaxies.
-
-        Reference
-        ---------
-        [1] Wilman et al.,  Eq(7-9),
-             "A semi-empirical simulation of the extragalactic radio continuum
-             sky for next generation radio telescopes",
-             2008, MNRAS, 388, 1335-1348.
-             http://adsabs.harvard.edu/abs/2008MNRAS.388.1335W
-        """
-        # Willman Eq. (8)
-        delta = np.random.normal(0, 0.3)
-        log_M_HI = 0.44 * np.log10(self.lumo) + 0.48 + delta
-        # Willman Eq. (7)
-        log_D_HI = ((log_M_HI - (6.52 + np.random.uniform(-0.06, 0.06))) /
-                    1.96 + np.random.uniform(-0.04, 0.04))
-        # Willman Eq. (9)
-        log_D = log_D_HI - 0.23 - np.log10(1 + self.z)
-        self.radius = 10**log_D / 2 * 1e-3  # [Mpc]
-        return self.radius
-
-    def gen_single_ps(self):
-        """
-        Generate single point source, and return its data as a list.
-        """
-        # Redshift and luminosity
-        self.z, self.lumo = self.get_lumo_redshift()
-        # angular diameter distance
-        self.param = PixelParams(self.z)
-        self.dA = self.param.dA
-        # Radius
-        self.radius = self.param.get_angle(self.get_radius())  # [rad]
-        # W/Hz/Sr to Jy
-        dA = self.dA * 3.0856775814671917E+22  # Mpc to meter
-        self.lumo = self.lumo / dA**2 / (10.0**-24)  # [Jy]
-        # Position
-        x = np.random.uniform(0, 1)
-        self.lat = (np.arccos(2 * x - 1) / np.pi * 180 - 90)  # [deg]
-        self.lon = np.random.uniform(0, np.pi * 2) / np.pi * 180  # [deg]
-        # Area
-        self.area = np.pi * self.radius**2  # [sr] ?
-
-        ps_list = [self.z, self.dA, self.lumo, self.lat, self.lon,
-                   self.area, self.radius]
-
-        return ps_list
-
-    def draw_single_ps(self, freq):
-        """
-        Designed to draw the circular  star forming  and star bursting ps.
-
-        Prameters
-        ---------
-        nside: int and dyadic
-            number of sub pixel in a cell of the healpix structure
-        self.ps_catalog: pandas.core.frame.DataFrame
-            Data of the point sources
-        freq: float
-            frequency
-        """
-        # Init
-        npix = hp.nside2npix(self.nside)
-        hpmap = np.zeros((npix,))
-        # Gen Tb list
-        Tb_list = self.calc_Tb(freq)
-        #  Iteratively draw the ps
-        num_ps = self.ps_catalog.shape[0]
-        resolution = self.resolution / 60  # [degree]
-        for i in range(num_ps):
-            # grid
-            ps_radius = self.ps_catalog['radius (rad)'][i]  # [rad]
-            ps_radius = ps_radius * 180 / np.pi  # radius [deg]
-            c_lat = self.ps_catalog['Lat (deg)'][i]  # core_lat [deg]
-            c_lon = self.ps_catalog['Lon (deg)'][i]  # core_lon [deg]
-            # Fill with circle
-            lon, lat, gridmap = grid.make_grid_ellipse(
-                (c_lon, c_lat), (2 * ps_radius, 2 * ps_radius), resolution)
-            indices, values = grid.map_grid_to_healpix(
-                (lon, lat, gridmap), self.nside)
-            hpmap[indices] += Tb_list[i]
-
-        return hpmap
-
-    def draw_ps(self, freq):
-        """
-        Read csv ps list file, and generate the healpix structure vector
-        with the respect frequency.
-        """
-        # Init
-        num_freq = len(freq)
-        npix = hp.nside2npix(self.nside)
-        hpmaps = np.zeros((npix, num_freq))
-
-        # Gen ps_catalog
-        self.gen_catalog()
-        # get hpmaps
-        for i in range(num_freq):
-            hpmaps[:, i] = self.draw_single_ps(freq[i])
-
-        return hpmaps
-
-    def calc_single_Tb(self, area, freq):
-        """
-        Calculate brightness temperatur of a single ps
-
-        Parameters
-        ------------
-        area: float
-            Area of the PS
-            Unit: [arcsec^2]
-        freq: `~astropy.units.Quantity`
-              Frequency, e.g., `1.0*au.MHz`
-
-        Return
-        ------
-        Tb:`~astropy.units.Quantity`
-             Average brightness temperature, e.g., `1.0*au.K`
-        """
-        # Init
-        freq_ref = 1400  # [MHz]
-        freq = freq  # [MHz]
-        # Luminosity at 1400MHz
-        lumo_1400 = self.lumo  # [Jy]
-        # Calc flux
-        flux = (freq / freq_ref)**(-0.7) * lumo_1400
-        # Calc brightness temperature
-        Tb = convert.Fnu_to_Tb(flux, area, freq)
-
-        return Tb
-
-    def calc_Tb(self, freq):
-        """
-        Calculate the surface brightness  temperature of the point sources.
-
-        Parameters
-        ------------
-        freq: `~astropy.units.Quantity`
-             Frequency, e.g., `1.0*au.MHz`
-
-        Return
-        ------
-        Tb_list: list
-             Point sources brightness temperature
-        """
-        # Tb_list
-        num_ps = self.ps_catalog.shape[0]
-        Tb_list = np.zeros((num_ps,))
-        sr_to_arcsec2 = (np.rad2deg(1) * 3600) ** 2  # [sr] -> [arcsec^2]
-        # Iteratively calculate Tb
-        for i in range(num_ps):
-            ps_area = self.ps_catalog['Area (sr)'][i]  # [sr]
-            area = ps_area * sr_to_arcsec2
-            Tb_list[i] = self.calc_single_Tb(area, freq)
-
-        return Tb_list