LSSTApplications
17.0+11,17.0+34,17.0+56,17.0+57,17.0+59,17.0+7,17.0-1-g377950a+33,17.0.1-1-g114240f+2,17.0.1-1-g4d4fbc4+28,17.0.1-1-g55520dc+49,17.0.1-1-g5f4ed7e+52,17.0.1-1-g6dd7d69+17,17.0.1-1-g8de6c91+11,17.0.1-1-gb9095d2+7,17.0.1-1-ge9fec5e+5,17.0.1-1-gf4e0155+55,17.0.1-1-gfc65f5f+50,17.0.1-1-gfc6fb1f+20,17.0.1-10-g87f9f3f+1,17.0.1-11-ge9de802+16,17.0.1-16-ga14f7d5c+4,17.0.1-17-gc79d625+1,17.0.1-17-gdae4c4a+8,17.0.1-2-g26618f5+29,17.0.1-2-g54f2ebc+9,17.0.1-2-gf403422+1,17.0.1-20-g2ca2f74+6,17.0.1-23-gf3eadeb7+1,17.0.1-3-g7e86b59+39,17.0.1-3-gb5ca14a,17.0.1-3-gd08d533+40,17.0.1-30-g596af8797,17.0.1-4-g59d126d+4,17.0.1-4-gc69c472+5,17.0.1-6-g5afd9b9+4,17.0.1-7-g35889ee+1,17.0.1-7-gc7c8782+18,17.0.1-9-gc4bbfb2+3,w.2019.22
LSSTDataManagementBasePackage
|
Functions | |
def | clean (srcMatch, wcs, order=3, nsigma=3) |
def | indicesOfGoodPoints (x, y, s, order=1, nsigma=3, maxiter=100) |
def | chooseRx (x, idx, order) |
def | chooseRy (y, idx, order) |
def lsst.meas.extensions.astrometryNet.cleanBadPoints.chooseRx | ( | x, | |
idx, | |||
order | |||
) |
Create order+1 values of the ordinate based on the median of groups of elements of x
Definition at line 111 of file cleanBadPoints.py.
def lsst.meas.extensions.astrometryNet.cleanBadPoints.chooseRy | ( | y, | |
idx, | |||
order | |||
) |
Create order+1 values of the ordinate based on the median of groups of elements of y
Definition at line 122 of file cleanBadPoints.py.
def lsst.meas.extensions.astrometryNet.cleanBadPoints.clean | ( | srcMatch, | |
wcs, | |||
order = 3 , |
|||
nsigma = 3 |
|||
) |
Remove bad points from srcMatch Input: srcMatch : list of det::SourceMatch order: Order of polynomial to use in robust fitting nsigma: Sources more than this far away from the robust best fit polynomial are removed Return: list of det::SourceMatch of the good data points
Definition at line 31 of file cleanBadPoints.py.
def lsst.meas.extensions.astrometryNet.cleanBadPoints.indicesOfGoodPoints | ( | x, | |
y, | |||
s, | |||
order = 1 , |
|||
nsigma = 3 , |
|||
maxiter = 100 |
|||
) |
Return a list of indices in the range [0, len(x)] of points that lie less than nsigma away from the robust best fit polynomial
Definition at line 66 of file cleanBadPoints.py.