Source

Source(
   input_par, exp_time, static_dist = False, stat_amp = 1.0, tt_amp = 1.0,
   use_cov = False
)

The source object allows access to the parameters of each source (star) required to compute the MAVISIM image.

Args

input_par : imported input parameter python file, e.g., input_parameters.py.
exp_time (float) : exposure time in seconds to simulate.
static_dist (bool, optional) : if True, add static distortion defined in input_par.
stat_amp (float, optional) : scaling factor to apply to distortions.
tt_amp (float, optional) : scaling factor to apply to tip-tilt blurring kernel width.

Attributes

exp_time (float) : exposure time in seconds to simulate.
star (np.ndarray of int) : unique ID of each star.
flux (np.ndarray of float) : flux of each star.
ra (np.ndarray of float) : RA of each star.
dec (np.ndarray of float) : Dec of each star.
x_pos (np.ndarray of float) : X position of each star (in arcsec).
x_pm (np.ndarray of float) : X proper motion of each star (in pixels).
x_dist (np.ndarray of float) : sub-pixel X position shift of each star (in pixels).
y_pos (np.ndarray of float) : Y position of each star (in arcsec).
y_pm (np.ndarray of float) : Y proper motion of each star (in mas/year).
y_dist (np.ndarray of float) : sub-pixel Y position shift of each star (in pixels).
gauss_pos (np.ndarray of float) : X/Y-position of each star (in arcsec).
gauss_cov (np.ndarray of float) : covariance of Gaussian kernel to simulate tip-tilt blurring (in arcsec^2).
static_dist (np.ndarray of float) : static distortion to apply to each source.

Methods:

.build_source()

From the data stored in the object, compute the source data as required

.decimate(
   nstar
)

Decimate the list of objects in the object (e.g., for faster simualtions).

Args

nstar (int) : number of stars to reduce list down to. The resulting object will only contain the first nstar stars.