lsst.ip.isr g02d44f648f+a1c05fc280
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
32namespace lsst { namespace ip { namespace isr {
33
34template <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
52template<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
100std::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
106 std::string result;
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
117template
120 afw::image::MaskedImage<float> const& overscan,
121 double ssize,
122 int sigma);
123
124template
127 afw::image::MaskedImage<double> const& overscan,
128 double ssize,
129 int sigma);
130
131template class CountMaskedPixels<float>;
132template class CountMaskedPixels<double>;
133
134// Function to mask nans in a masked image
139
140}}} // namespace lsst::ip::isr
AmpInfoBoxKey bbox
int end
afw::table::Key< double > sigma
int y
table::Key< int > b
T begin(T... args)
x_iterator row_end(int y) const
x_iterator row_begin(int y) const
double getValue(Property const prop=NOTHING) const
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)
Statistics makeStatistics(lsst::afw::image::Image< Pixel > const &img, lsst::afw::image::Mask< image::MaskPixel > const &msk, int const flags, StatisticsControl const &sctrl=StatisticsControl())
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
Remove all non-astronomical counts from the Chunk Exposure's pixels.
std::vector< double > parameterList