79 "uncertainty covariance in x and y",
"pixel^2"));
124 mapper.addMapping(
mapper.getInputSchema().find<afw::table::Flag>(
name +
"_flag").key);
127 auto &s =
mapper.editOutputSchema();
136 sigma[0] = s.addField<
ErrElement>(s.join(
name,
"raErr"),
"1-sigma uncertainty on RA",
"rad");
137 sigma[1] = s.addField<
ErrElement>(s.join(
name,
"decErr"),
"1-sigma uncertainty on dec",
"rad");
138 cov[0] = s.addField<
ErrElement>(s.join(
name,
"ra_dec_Cov"),
"Uncertainty covariance in RA and dec",
153 for (; inSrc != inputCatalog.
end() && outSrc != outputCatalog.
end(); ++inSrc, ++outSrc) {
175 double maxDistFromPeak)
176 : _doFootprintCheck(doFootprintCheck), _maxDistFromPeak(maxDistFromPeak) {
177 _resetKey =
schema.addField<afw::table::Flag>(
schema.join(
name,
"flag_resetToPeak"),
178 "set if CentroidChecker reset the centroid");
192 _badErrorKey =
schema.addField<afw::table::Flag>(
schema.join(
name,
"flag_badError"),
193 "Error on x and/or y position is NaN");
204 record.
set(_badErrorKey,
true);
205 record.
set(_failureKey,
true);
209 if (!_doFootprintCheck && _maxDistFromPeak < 0.0) {
218 if (footprint->getPeaks().empty()) {
226 double distsq = (
x - footX) * (
x - footX) + (
y - footY) * (
y - footY);
228 ((_maxDistFromPeak > 0) && (distsq > _maxDistFromPeak * _maxDistFromPeak))) {
229 record.
set(_xKey, footX);
230 record.
set(_yKey, footY);
231 record.
set(_failureKey,
true);
232 record.
set(_resetKey,
true);
table::Key< std::string > name
#define LSST_EXCEPT(type,...)
afw::table::Key< double > sigma
table::Key< table::Array< std::uint8_t > > wcs
Field< T >::Value get(Key< T > const &key) const
void set(Key< T > const &key, U const &value)
static CoordKey addFields(afw::table::Schema &schema, std::string const &name, std::string const &doc)
void set(BaseRecord &record, lsst::geom::SpherePoint const &value) const override
void set(BaseRecord &record, Eigen::Matrix< T, N, N > const &value) const override
bool isValid() const noexcept
bool isValid() const noexcept
static PointKey addFields(Schema &schema, std::string const &name, std::string const &doc, std::string const &unit)
typename Base::const_iterator const_iterator
std::shared_ptr< Footprint > getFootprint() const
CentroidChecker(afw::table::Schema &schema, std::string const &name, bool inside=true, double maxDistFromPeak=-1.0)
Check source record produced by a centroid algorithm called "name".
bool operator()(afw::table::SourceRecord &record) const
Set the centroid to the first footprint if the centroid is either more than _dist pixels from the foo...
A FunctorKey for CentroidResult.
virtual void set(afw::table::BaseRecord &record, CentroidResult const &value) const
Set a CentroidResult in the given record.
afw::table::CovarianceMatrixKey< ErrElement, 2 > getCentroidErr() const
Return a FunctorKey to just the uncertainty matrix.
CentroidResultKey()
Default constructor; instance will not be usuable unless subsequently assigned to.
virtual CentroidResult get(afw::table::BaseRecord const &record) const
Get a CentroidResult from the given record.
static CentroidResultKey addFields(afw::table::Schema &schema, std::string const &name, std::string const &doc, UncertaintyEnum uncertainty)
Add the appropriate fields to a Schema, and return a CentroidResultKey that manages them.
AngleUnit constexpr radians
UncertaintyEnum
An enum used to specify how much uncertainty information measurement algorithms provide.
@ FULL_COVARIANCE
The full covariance matrix is provided.
@ NO_UNCERTAINTY
Algorithm provides no uncertainy information at all.
Eigen::Matrix< ErrElement, 2, 2, Eigen::DontAlign > CentroidCov
geom::Point< CentroidElement, 2 > Centroid
A reusable struct for centroid measurements.
CentroidElement y
y (row) coordinate of the measured position
Centroid const getCentroid() const
Return a Point object containing the measured x and y.
CentroidElement x
x (column) coordinate of the measured position
void setCentroidErr(CentroidCov const &matrix)
Set the struct uncertainty fields from the given matrix, with rows and columns ordered (x,...
CentroidCov const getCentroidErr() const
Return the 2x2 symmetric covariance matrix, with rows and columns ordered (x, y)
void setCentroid(Centroid const ¢roid)
Set the struct fields from the given Point object.
ErrElement yErr
standard deviation of y
CentroidResult()
Constructor; initializes everything to NaN.
ErrElement x_y_Cov
x,y term in the uncertainty convariance matrix
ErrElement xErr
standard deviation of x