make_2d_trace_image

specreduce.utils.synth_data.make_2d_trace_image(nx: int = 3000, ny: int = 1000, background: int | float = 5, trace_center: int | float | None = None, trace_order: int = 3, trace_coeffs: dict[str, int | float] = {'c0': 0, 'c1': 50, 'c2': 100}, profile: ~astropy.modeling.core.Model = <Moffat1D(amplitude=10., x_0=0., gamma=1., alpha=0.1)>, add_noise: bool = True) → CCDData

Create synthetic 2D spectroscopic image with a single source. The spatial (y-axis) position of the source along the dispersion (x-axis) direction is modeled using a Chebyshev polynomial. The flux units are counts and the noise is modeled as Poisson.

Parameters:

nxSize of image in X axis which is assumed to be the dispersion axis

nySize of image in Y axis which is assumed to be the spatial axis

backgroundLevel of constant background in counts

trace_centerZeropoint of the trace. If None, then use center of Y (spatial) axis.

trace_orderOrder of the Chebyshev polynomial used to model the source’s trace

trace_coeffsDict containing the Chebyshev polynomial coefficients to use in the trace model

profileModel to use for the source’s spatial profile

add_noiseIf True, add Poisson noise to the image

Returns:

ccd_imCCDData instance containing synthetic 2D spectroscopic image