LSST Applications  21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
_chebyshevBoundedField.py
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1 # This file is part of afw.
2 #
3 # Developed for the LSST Data Management System.
4 # This product includes software developed by the LSST Project
5 # (https://www.lsst.org).
6 # See the COPYRIGHT file at the top-level directory of this distribution
7 # for details of code ownership.
8 #
9 # This program is free software: you can redistribute it and/or modify
10 # it under the terms of the GNU General Public License as published by
11 # the Free Software Foundation, either version 3 of the License, or
12 # (at your option) any later version.
13 #
14 # This program is distributed in the hope that it will be useful,
15 # but WITHOUT ANY WARRANTY; without even the implied warranty of
16 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17 # GNU General Public License for more details.
18 #
19 # You should have received a copy of the GNU General Public License
20 # along with this program. If not, see <https://www.gnu.org/licenses/>.
21 
22 import numpy as np
23 
24 from lsst.utils import continueClass
25 from ._math import ChebyshevBoundedField, ChebyshevBoundedFieldControl
26 
27 __all__ = [] # import this module only for its side effects
28 
29 
30 @continueClass # noqa: F811 (FIXME: remove for py 3.8+)
31 class ChebyshevBoundedField: # noqa: F811
32  @classmethod
33  def approximate(cls, boundedField,
34  orderX=3, orderY=3,
35  nStepX=100, nStepY=100):
36  """
37  Approximate a bounded field as a ChebyshevBoundedField.
38 
39  Parameters
40  ----------
41  boundedField : `lsst.afw.math.BoundedField`
42  A bounded field to approximate
43  orderX : `int`, optional
44  Order of the Chebyshev polynomial in the x direction.
45  Default is 3.
46  orderY : `int`, optional
47  Order of the Chebyshev polynomial in the y direction.
48  Default is 3.
49  nStepX : `int`, optional
50  Number of x steps to approximate boundedField.
51  Default is 100.
52  nStepY : `int`, optional
53  Number of y steps to approximate boundedField.
54  Default is 100.
55 
56  Returns
57  -------
58  chebyshevBoundedField : `lsst.afw.math.ChebyshevBoundedField`
59  """
60 
61  ctrl = ChebyshevBoundedFieldControl()
62  ctrl.orderX = orderX
63  ctrl.orderY = orderY
64  ctrl.triangular = False
65 
66  bbox = boundedField.getBBox()
67 
68  xSteps = np.linspace(bbox.getMinX(), bbox.getMaxX(), nStepX)
69  ySteps = np.linspace(bbox.getMinY(), bbox.getMaxY(), nStepY)
70 
71  x = np.tile(xSteps, nStepY)
72  y = np.repeat(ySteps, nStepX)
73 
74  return cls.fit(bbox, x, y, boundedField.evaluate(x, y), ctrl)
def approximate(cls, boundedField, orderX=3, orderY=3, nStepX=100, nStepY=100)