cmd

class hoki.cmd.CMD(file, col_lim=[-3, 7], mag_lim=[-14, 10], res_el=0.1)

Colour Magnitude Diagram Object

Parameters

  • file (str) – Location of the file containing the model inputs

  • col_lim (list of 2 integers (positive or negative), optional) – Limits on the colour range of the CMD grid, Default is [-3,7].

  • mag_lim (list of 2 integers (positive or negative), optional) – Limits on the magnitude range of the CMD grid. Default is [-14,10].

  • res_el (float or int, optional) – Resolution element of the CMD grid. The resolution element is the same for colour and magnitude. Default is 0.1.

self.bpass_input

Input file given by the file parameter

Type

str

self.col_range

Colour range spanned by the grid (with res_el-sized intervals)

Type

numpy.ndarray (1D)

self.mag_range

Magnitude range spanned by the grid (with res_el-sized intervals)

Type

numpy.ndarray (1D)

self.grid

Colour-Magnitude grid.

Type

numpy.ndarray (2D)

self.path

The absolute path to the stellar models. It is set to hoki.cconstants.MODELS_PATH which you can set to the right path by using hoki.load.set_models.path().

Type

str

self.t

Class attribute - The time bins in BPASS - note they are in LOG SPACE

Type

np.ndarray 1D

self.dt

Class attribute - Time intervals between bins NOT in log space

Type

np.ndarray 1D

make(filter1, filter2)

Make the CMD - a.k.a fill the grid

Notes

  • This may take a few seconds to a minute to run.

  • The colour will be filter1 - filter2

  • If you later call CMD.plot() you will obtain a contour plot of filter1 against filter1-filter2

Parameters

  • filter1 (str) – First filter

  • filter2 (str) – Seconds filter

Returns

Return type

None

plot(log_age=6.8, loc=111, cmap='Greys', **kwargs)

Plots the CMD grid at a particular age

Parameters

  • log_age (float) – Must be a valid BPASS time bin

  • loc (3 integers, optional) – Location of the subplot. Default is 111.

  • cmap (str, optional) – Colour map for the contours. Default is ‘Greys’ **kwargs : matplotlib keyword arguments, optional

Returns

The plot created is returned, so you can add stuff to it, like text or extra data.

Return type

matplotlib.axes._subplots.AxesSubplot