LSST Applications  21.0.0+04719a4bac,21.0.0-1-ga51b5d4+f5e6047307,21.0.0-11-g2b59f77+a9c1acf22d,21.0.0-11-ga42c5b2+86977b0b17,21.0.0-12-gf4ce030+76814010d2,21.0.0-13-g1721dae+760e7a6536,21.0.0-13-g3a573fe+768d78a30a,21.0.0-15-g5a7caf0+f21cbc5713,21.0.0-16-g0fb55c1+b60e2d390c,21.0.0-19-g4cded4ca+71a93a33c0,21.0.0-2-g103fe59+bb20972958,21.0.0-2-g45278ab+04719a4bac,21.0.0-2-g5242d73+3ad5d60fb1,21.0.0-2-g7f82c8f+8babb168e8,21.0.0-2-g8f08a60+06509c8b61,21.0.0-2-g8faa9b5+616205b9df,21.0.0-2-ga326454+8babb168e8,21.0.0-2-gde069b7+5e4aea9c2f,21.0.0-2-gecfae73+1d3a86e577,21.0.0-2-gfc62afb+3ad5d60fb1,21.0.0-25-g1d57be3cd+e73869a214,21.0.0-3-g357aad2+ed88757d29,21.0.0-3-g4a4ce7f+3ad5d60fb1,21.0.0-3-g4be5c26+3ad5d60fb1,21.0.0-3-g65f322c+e0b24896a3,21.0.0-3-g7d9da8d+616205b9df,21.0.0-3-ge02ed75+a9c1acf22d,21.0.0-4-g591bb35+a9c1acf22d,21.0.0-4-g65b4814+b60e2d390c,21.0.0-4-gccdca77+0de219a2bc,21.0.0-4-ge8a399c+6c55c39e83,21.0.0-5-gd00fb1e+05fce91b99,21.0.0-6-gc675373+3ad5d60fb1,21.0.0-64-g1122c245+4fb2b8f86e,21.0.0-7-g04766d7+cd19d05db2,21.0.0-7-gdf92d54+04719a4bac,21.0.0-8-g5674e7b+d1bd76f71f,master-gac4afde19b+a9c1acf22d,w.2021.13
LSST Data Management Base Package
Isr.cc
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1 // -*- lsst-c++ -*-
2 
3 /*
4  * LSST Data Management System
5  * Copyright 2008, 2009, 2010 LSST Corporation.
6  *
7  * This product includes software developed by the
8  * LSST Project (http://www.lsst.org/).
9  *
10  * This program is free software: you can redistribute it and/or modify
11  * it under the terms of the GNU General Public License as published by
12  * the Free Software Foundation, either version 3 of the License, or
13  * (at your option) any later version.
14  *
15  * This program is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18  * GNU General Public License for more details.
19  *
20  * You should have received a copy of the LSST License Statement and
21  * the GNU General Public License along with this program. If not,
22  * see <http://www.lsstcorp.org/LegalNotices/>.
23  */
24 
25 #include <cmath>
26 
27 #include "lsst/geom.h"
28 #include "lsst/afw/math.h"
30 #include "lsst/ip/isr/isr.h"
31 
32 namespace lsst { namespace ip { namespace isr {
33 
34 template <typename PixelT>
37 {
38  typedef typename afw::image::MaskedImage<PixelT>::x_iterator x_iterator;
39  size_t nPix = 0;
40  for (int y = 0; y != mi.getHeight(); ++y) {
41  for (x_iterator ptr = mi.row_begin(y), end = mi.row_end(y); ptr != end; ++ptr) {
42  if (!(ptr.mask() & allow) && (!std::isfinite(ptr.image()) ||
43  !std::isfinite(ptr.variance()))) {
44  nPix += 1;
45  ptr.mask() |= maskVal;
46  }
47  }
48  }
49  return nPix;
50 }
51 
52 template<typename ImagePixelT, typename FunctionT>
56  double ssize,
57  int sigma
58 ) {
59  typedef afw::image::MaskedImage<ImagePixelT> MaskedImage;
60 
61 
62  const int height = overscan.getHeight();
63  const int width = overscan.getWidth();
64  std::vector<double> values(height);
65  std::vector<double> errors(height);
66  std::vector<double> positions(height);
67 
68  std::vector<double> parameters(overscanFunction->getNParameters(), 0.);
69  std::vector<double> stepsize(overscanFunction->getNParameters(), ssize);
70 
71  for (int y = 0; y < height; ++y) {
79  MaskedImage mi = MaskedImage(overscan, bbox);
81 
82  values[y] = stats.getValue(afw::math::MEAN);
83  errors[y] = stats.getValue(afw::math::STDEV);
84  positions[y] = y;
85 
86  }
88  *overscanFunction,
89  parameters,
90  stepsize,
91  values,
92  errors,
93  positions,
94  sigma
95  );
96 
97  overscanFunction->setParameters(fitResults.parameterList);
98 }
99 
100 std::string between(std::string &s, char ldelim, char rdelim) {
101  std::string::iterator b(s.begin());
102  std::string::iterator e(s.end());
103  std::string::iterator lp;
104  std::string::iterator rp;
105 
107 
108  if((lp = std::find(b, e, ldelim)) != e)
109  if((rp = std::find(++lp, e, rdelim)) != e)
110  result = std::string(lp, rp);
111 
112  return result;
113 }
114 
115 // Explicit instantiations
116 
117 template
119  std::shared_ptr<afw::math::Function1<double> > &overscanFunction,
120  afw::image::MaskedImage<float> const& overscan,
121  double ssize,
122  int sigma);
123 
124 template
126  std::shared_ptr<afw::math::Function1<double> > &overscanFunction,
127  afw::image::MaskedImage<double> const& overscan,
128  double ssize,
129  int sigma);
130 
131 template class CountMaskedPixels<float>;
132 template class CountMaskedPixels<double>;
133 
134 // Function to mask nans in a masked image
139 
140 }}} // namespace lsst::ip::isr
py::object result
Definition: _schema.cc:430
AmpInfoBoxKey bbox
Definition: Amplifier.cc:117
int end
afw::table::Key< double > sigma
Definition: GaussianPsf.cc:50
uint64_t * ptr
Definition: RangeSet.cc:88
int y
Definition: SpanSet.cc:49
table::Key< int > b
T begin(T... args)
A class to manipulate images, masks, and variance as a single object.
Definition: MaskedImage.h:73
int getHeight() const
Return the number of rows in the image.
Definition: MaskedImage.h:1084
int getWidth() const
Return the number of columns in the image.
Definition: MaskedImage.h:1082
x_iterator row_end(int y) const
Return an x_iterator to the end of the image.
Definition: MaskedImage.cc:636
x_iterator row_begin(int y) const
Return an x_iterator to the start of the image.
Definition: MaskedImage.cc:626
A Function taking one argument.
Definition: Function.h:202
A class to evaluate image statistics.
Definition: Statistics.h:215
double getValue(Property const prop=NOTHING) const
Return the value of the desired property (if specified in the constructor)
Definition: Statistics.cc:1056
An integer coordinate rectangle.
Definition: Box.h:55
T end(T... args)
T find(T... args)
T isfinite(T... args)
Implementation of the templated Instrument Signature Removal stage of the nightly LSST Image Processi...
FitResults minimize(lsst::afw::math::Function1< ReturnT > const &function, std::vector< double > const &initialParameterList, std::vector< double > const &stepSizeList, std::vector< double > const &measurementList, std::vector< double > const &varianceList, std::vector< double > const &xPositionList, double errorDef)
Find the minimum of a function(x)
Definition: minimize.cc:175
Statistics makeStatistics(lsst::afw::image::Image< Pixel > const &img, lsst::afw::image::Mask< image::MaskPixel > const &msk, int const flags, StatisticsControl const &sctrl=StatisticsControl())
Handle a watered-down front-end to the constructor (no variance)
Definition: Statistics.h:354
@ STDEV
estimate sample standard deviation
Definition: Statistics.h:68
@ MEAN
estimate sample mean
Definition: Statistics.h:67
size_t maskNans(afw::image::MaskedImage< PixelT > const &mi, afw::image::MaskPixel maskVal, afw::image::MaskPixel allow=0)
Mask NANs in an image.
Definition: Isr.cc:35
void fitOverscanImage(std::shared_ptr< lsst::afw::math::Function1< FunctionT > > &overscanFunction, lsst::afw::image::MaskedImage< ImagePixelT > const &overscan, double ssize=1., int sigma=1)
Definition: Isr.cc:53
template size_t maskNans< float >(afw::image::MaskedImage< float > const &, afw::image::MaskPixel, afw::image::MaskPixel)
template size_t maskNans< double >(afw::image::MaskedImage< double > const &, afw::image::MaskPixel, afw::image::MaskPixel)
std::string between(std::string &s, char ldelim, char rdelim)
Definition: Isr.cc:100
A base class for image defects.
Results from minimizing a function.
Definition: minimize.h:44
std::vector< double > parameterList
fit parameters
Definition: minimize.h:48