Plot equivalent width for UV indices

Example for generating the equivalent width for a set of UV indices from a parametric galaxy - build a parametric galaxy (see make_sfzh) - calculate equivalent width (see sed.py)

F1370, F1400, F1425, F1460, UV_1501, F1533, F1550, UV_1719, F1853
Mean Equivalent width [ 1370 ]: 0.607643512287435
Mean Equivalent width [ 1400 ]: 2.134679202978237
Mean Equivalent width [ 1425 ]: 1.2349309992381248
Mean Equivalent width [ 1460 ]: 0.469943204388748
Mean Equivalent width [ 1501 ]: 0.31599287292975664
Mean Equivalent width [ 1533 ]: 0.8295097780460812
Mean Equivalent width [ 1550 ]: 4.799113835055814
Mean Equivalent width [ 1719 ]: 1.302956438721113
Mean Equivalent width [ 1853 ]: 0.6108360274855138

import matplotlib.pyplot as plt
import numpy as np
from unyt import Msun, Myr, angstrom

from synthesizer.emission_models import IncidentEmission, ReprocessedEmission
from synthesizer.grid import Grid
from synthesizer.parametric import SFH, Stars, ZDist
from synthesizer.parametric.galaxy import Galaxy


def set_index():
    """
    A function to define a dictionary of uv indices.

    Each index has a defined absorption window.
    A pseudo-continuum is defined, made up of a blue and red shifted window.

    Returns:
        tuple: A tuple containing the following list:
            - index (int): List of UV indices.
            - index_window (int): List of absorption window bounds.
            - blue_window (int): List of blue shifted window bounds.
            - red_window (int): List of red shifted window bounds.
    """

    index = [1370, 1400, 1425, 1460, 1501, 1533, 1550, 1719, 1853]
    index_window = [
        [1360, 1380],
        [1385, 1410],
        [1413, 1435],
        [1450, 1470],
        [1496, 1506],
        [1530, 1537],
        [1530, 1560],
        [1705, 1729],
        [1838, 1858],
    ]
    blue_window = [
        [1345, 1354],
        [1345, 1354],
        [1345, 1354],
        [1436, 1447],
        [1482, 1491],
        [1482, 1491],
        [1482, 1491],
        [1675, 1684],
        [1797, 1807],
    ]
    red_window = [
        [1436, 1447],
        [1436, 1447],
        [1436, 1447],
        [1482, 1491],
        [1583, 1593],
        [1583, 1593],
        [1583, 1593],
        [1751, 1761],
        [1871, 1883],
    ]

    return index, index_window, blue_window, red_window


def equivalent_width(grids, uv_index, index_window, blue_window, red_window):
    """
    Calculate equivalent widths for specified UV indices.

    Args:
        grids (str): Grid name.
        uv_index (list): List of UV indices to calculate equivalent widths for.
        index_window (list): List of index window bounds.
        blue_window (list): List of blue shifted window bounds.
        red_window (list): List of red shifted window bounds.

    Returns:
        None
    """

    # Define the parameters of the star formation and metal
    # enrichment histories.
    grid = Grid(grids, grid_dir=grid_dir)
    Z = grid.metallicity
    stellar_mass = 1e8 * Msun

    # -- Calculate the equivalent width for each defined index
    for i, index in enumerate(uv_index):
        eqw = []

        # Compute each index for each metallicity in the grid.
        feature, blue, red = (
            index_window[i] * angstrom,
            blue_window[i] * angstrom,
            red_window[i] * angstrom,
        )

        for k in range(0, len(Z)):
            eqw.append(
                measure_equivalent_width(
                    index, feature, blue, red, Z[k], stellar_mass, grid, eqw, 0
                )
            )

        print("Mean Equivalent width [", index, "]:", np.mean(eqw))

        # Configure plot figure
        plt.rcParams["figure.dpi"] = 200
        plt.subplot(3, 3, i + 1)
        plt.grid(True)

        if i == 0 or i == 3 or i == 6:
            plt.ylabel("EW (\u212b)", fontsize=8)
        if i > 5:
            plt.xlabel("metallicity", fontsize=8)

        if index == 1501 or index == 1719:
            label = "UV_" + str(index)
        else:
            label = "F" + str(index)

        _, y_max = plt.ylim()

        plt.title(label, fontsize=8, transform=plt.gca().transAxes, y=0.8)

        if len(np.array(eqw).shape) != 1:
            grid.metallicity = [[x, x] for x in grid.metallicity]

        plt.scatter(
            grid.metallicity,
            eqw,
            color="white",
            edgecolors="grey",
            alpha=1.0,
            zorder=10,
            linewidth=0.5,
            s=10,
        )
        plt.semilogx(grid.metallicity, eqw, linewidth=0.75, color="grey")
        eqw.clear()
        grid.metallicity = Z

        plt.tight_layout()

        if i == len(uv_index) - 1:
            plt.show()


def measure_equivalent_width(
    index, feature, blue, red, Z, smass, grid, eqw, mode
):
    """
    Calculate equivalent width for a specified UV index.

    Args:
        index (int): The UV index for which the equivalent width is calculated.
        Z (float): Metallicity.
        smass (float): Stellar mass.
        grid (Grid): The grid object.
        eqw (float): Initial equivalent width.
        mode (str): Calculation mode.

    Returns:
        float: The calculated equivalent width.

    Raises:
        ValueError: If mode is invalid.
    """
    # Get the emission model
    incident_model = IncidentEmission(grid)
    model = ReprocessedEmission(grid, related_models=[incident_model])

    stellar_mass = smass

    Z_p = {"metallicity": Z}
    metal_dist = ZDist.DeltaConstant(**Z_p)  # constant metallicity
    sfh_p = {"max_age": 100 * Myr}
    sfh = SFH.Constant(**sfh_p)  # constant star formation

    # --- get 2D star formation and metal enrichment history for the
    # given SPS grid. This is (age, Z).
    sfzh = Stars(
        grid.log10age,
        grid.metallicity,
        sf_hist=sfh,
        metal_dist=metal_dist,
        initial_mass=stellar_mass,
    )

    # --- create a galaxy object
    galaxy = Galaxy(sfzh)

    galaxy.stars.get_spectra(model)

    # --- generate spectra
    if mode == 0:
        sed = galaxy.stars.spectra["incident"]
    else:
        sed = galaxy.stars.spectra["reprocessed"]

    return sed.measure_index(
        feature,
        blue,
        red,
    )


if __name__ == "__main__":
    grid_name = "test_grid"
    grid_dir = "../../tests/test_grid/"

    (
        index,
        index_window,
        blue_window,
        red_window,
    ) = set_index()  # Retrieve UV indices

    equivalent_width(grid_name, index, index_window, blue_window, red_window)

Total running time of the script: (0 minutes 2.495 seconds)

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