phot.center.find_center_2dg
phot.center.find_center_2dg(
ccd,
position_xy,
cbox_size=5.0,
csigma=3.0,
msky=None,
ssky=0,
sky_annulus=None,
sky_kw=None,
maxiters=5,
error=None,
atol_shift=0.0001,
max_shift=1,
max_shift_step=None,
full=True,
full_history=False,
)Find the center of the image by 2D Gaussian fitting.
Parameters
ccd :~astropy.nddata.CCDDataor ndarray-
The whole image which the
position_xyis calculated. position_xy : array - like-
The position of the initial guess in image XY coordinate.
cbox_size : float or int = 5.0-
The size of the box to find the centroid. Recommended to use 2.5 to 4.0 times the seeing FWHM. Minimally about 5 pixel is recommended. If extended source (e.g., comet), recommend larger cbox. See: https://iraf.readthedocs.io/en/latest/tasks/noao/digiphot/apphot/centerpars.html Default is
5.0. csigma : float or int = 3.0-
The parameter to use in sigma-clipping. Using pixels only above 3-simga level for centroiding is recommended. See Ma+2009, Optics Express, 17,
ssky : float = 0-
The sample standard deviation of the sky or background. It will be used instead of
sky_annulusifsky_annulusisNone. The pixels above the local minima (of the array of sizecbox_size) pluscsigma*sskywill be used for centroid, following the default of IRAF’snoao.digiphot.apphot: https://iraf.readthedocs.io/en/latest/tasks/noao/digiphot/apphot/centerpars.html Default is0. sky_annulus : CircAn, EllipAn, RectAn, PillAn, or None = None-
Annulus template for estimating the sky. Each iteration constructs a new annulus at the current centroid, retaining the template’s dimensions, orientations, and plotting resolution. The input object is unchanged; its initial position is ignored. If
None(default), usessky. sky_kw : dict = None-
The keyword arguments of
.backgroud.sky_fit. Default isNone. atol_shift : float = 0.0001-
Stop when the fitted shift in pixels is below this absolute tolerance. Default is
1.0e-4. max_shift : = 1-
The maximum acceptable shift. If shift is larger than this, raises warning.
max_shift_step : float,None= None-
The maximum acceptable shift for each iteration. If the shift (call it
shift_raw) is larger than this, the actual shift will bemax_shift_steptowards the direction identical toshift_raw. IfNone(default), no such truncation is done. error :~astropy.nddata.CCDDataor ndarray = None-
The 1-sigma uncertainty map used for fitting. Default is
None. full : bool = True-
Whether to return the original and final cutout images. Default is
True. full_history : bool = False-
Whether to return all the history of memory-heavy objects, including cutout ccd, cutout of the error frame, evaluated array of the fitted models. Most likely this is turned on only to check whether the centroiding process works correctly (i.e., kind of debugging purpose). Default is
False.
Returns
newpos : tuple-
The iteratively found centroid position.
shift : float-
Total shift from the initial position.
fulldict : dict-
The
dictwhen returned iffull=True:* ``positions``: `Nx2` numpy.arrayThe history of
xandypositions. The 0-th element is the initial position and the last element is the final fitted position.