LSST Applications  21.0.0-147-g0e635eb1+1acddb5be5,22.0.0+052faf71bd,22.0.0+1ea9a8b2b2,22.0.0+6312710a6c,22.0.0+729191ecac,22.0.0+7589c3a021,22.0.0+9f079a9461,22.0.1-1-g7d6de66+b8044ec9de,22.0.1-1-g87000a6+536b1ee016,22.0.1-1-g8e32f31+6312710a6c,22.0.1-10-gd060f87+016f7cdc03,22.0.1-12-g9c3108e+df145f6f68,22.0.1-16-g314fa6d+c825727ab8,22.0.1-19-g93a5c75+d23f2fb6d8,22.0.1-19-gb93eaa13+aab3ef7709,22.0.1-2-g8ef0a89+b8044ec9de,22.0.1-2-g92698f7+9f079a9461,22.0.1-2-ga9b0f51+052faf71bd,22.0.1-2-gac51dbf+052faf71bd,22.0.1-2-gb66926d+6312710a6c,22.0.1-2-gcb770ba+09e3807989,22.0.1-20-g32debb5+b8044ec9de,22.0.1-23-gc2439a9a+fb0756638e,22.0.1-3-g496fd5d+09117f784f,22.0.1-3-g59f966b+1e6ba2c031,22.0.1-3-g849a1b8+f8b568069f,22.0.1-3-gaaec9c0+c5c846a8b1,22.0.1-32-g5ddfab5d3+60ce4897b0,22.0.1-4-g037fbe1+64e601228d,22.0.1-4-g8623105+b8044ec9de,22.0.1-5-g096abc9+d18c45d440,22.0.1-5-g15c806e+57f5c03693,22.0.1-7-gba73697+57f5c03693,master-g6e05de7fdc+c1283a92b8,master-g72cdda8301+729191ecac,w.2021.39
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)