public GroupMeasurer(float fwhm, List <TrackedObjectConfig> trackedObjects, MeasurementsHelper measurementsHelper)
{
m_FWHM = fwhm;
m_TrackedObjects = trackedObjects;
GroupObjects();
}
private void ProcessSingleUnitSet(
List <LCMeasurement> units,
bool useLowPass,
bool useLowPassDiff,
MeasurementsHelper measurer)
{
for (int i = 0; i < units.Count; i++)
{
LCMeasurement reading = units[i];
IImagePixel[] groupCenters = new IImagePixel[0];
float[] aperturesInGroup = new float[0];
TrackedObjectConfig objConfig = Footer.TrackedObjects[reading.TargetNo];
List <TrackedObjectConfig> gropedObjects = Footer.TrackedObjects.Where(x => objConfig.GroupId >= 0 && x.GroupId == objConfig.GroupId).ToList();
if (gropedObjects.Count > 1)
{
groupCenters = new IImagePixel[gropedObjects.Count];
aperturesInGroup = new float[gropedObjects.Count];
for (int j = 0; j < gropedObjects.Count; j++)
{
LCMeasurement mea = units[Footer.TrackedObjects.IndexOf(gropedObjects[j])];
groupCenters[j] = new ImagePixel(mea.X0, mea.Y0);
aperturesInGroup[j] = gropedObjects[j].ApertureInPixels;
}
}
units[i] = ProcessSingleUnit(
reading, useLowPass, useLowPassDiff,
Context.ReProcessFitAreas[i], Context.ReProcessApertures[i], Header.FixedApertureFlags[i],
measurer, groupCenters, aperturesInGroup);
}
}
private void RecomputeData()
{
NumericUpDown[] targetApertures = new NumericUpDown[] { nudAperture1, nudAperture2, nudAperture3, nudAperture4 };
NumericUpDown[] targetFitAreas = new NumericUpDown[] { nudFitArea1, nudFitArea2, nudFitArea3, nudFitArea4 };
PictureBox[] psfBoxes = new PictureBox[] { picTarget1PSF, picTarget2PSF, picTarget3PSF, picTarget4PSF };
MeasurementsHelper measurer = new MeasurementsHelper(
m_Context.BitPix,
m_Context.BackgroundMethod,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(m_Context.BitPix, m_Context.MaxPixelValue));
for (int i = 0; i < m_Header.ObjectCount; i++)
{
// Apply the selected filter, compute the PSF and then draw the data
LCMeasurement reading = m_SelectedMeasurements[i];
if (!LCMeasurement.IsEmpty(reading))
{
LCMeasurement updatedReading = reading.Clone();
int x0Int = (int)Math.Round(reading.X0);
int y0Int = (int)Math.Round(reading.Y0);
updatedReading.PsfFit = new PSFFit(x0Int, y0Int);
updatedReading.PsfFit.FittingMethod = PSFFittingMethod.NonLinearFit;
int pixelDataWidth = updatedReading.PixelData.GetLength(0);
int pixelDataHeight = updatedReading.PixelData.GetLength(1);
updatedReading.PsfFit.Fit(
updatedReading.PixelData,
m_Footer.TrackedObjects[updatedReading.TargetNo].PsfFitMatrixSize,
x0Int - updatedReading.PixelDataX0 + (pixelDataWidth / 2) + 1,
y0Int - updatedReading.PixelDataY0 + (pixelDataHeight / 2) + 1,
false);
int fitArea = (int)targetFitAreas[i].Value;
measurer.FindBestFit(
reading.X0, reading.Y0,
GetCurrentFilter(), reading.PixelData, m_Context.BitPix,
ref fitArea, m_Header.FixedApertureFlags[i]);
updatedReading.PsfFit = measurer.FoundBestPSFFit;
updatedReading.PixelData = measurer.PixelData;
m_SelectedMeasurements[i] = updatedReading;
psfBoxes[reading.TargetNo].Visible = true;
PlotSingleGaussian(
psfBoxes[reading.TargetNo],
updatedReading,
m_AllBrushes,
(float)targetApertures[i].Value,
m_Footer.ReductionContext.BitPix);
}
}
}
private void EnsureMeasurer(float positionTolerance)
{
uint saturatedValue = TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(m_VideoController.VideoBitPix, m_VideoController.VideoAav16NormVal);
m_Measurer = new MeasurementsHelper(
m_VideoController.VideoBitPix,
m_BackgroundMethod,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
saturatedValue);
m_Measurer.SetCoreProperties(
TangraConfig.Settings.Photometry.AnnulusInnerRadius,
TangraConfig.Settings.Photometry.AnnulusMinPixels,
TangraConfig.PhotometrySettings.REJECTION_BACKGROUND_PIXELS_STD_DEV,
positionTolerance);
m_Measurer.GetImagePixelsCallback += m_Measurer_GetImagePixelsCallback;
}
public void CheckLayoutColors(string sampleTypesList)
{
MeasurementsHelper helper = new MeasurementsHelper();
var plateValues = helper.GetPlateColors(repo.ProtocolAnalysisDesktop.PlateControlRslts);
Report.Screenshot();
var sampleIdsArray = sampleTypesList.Split(',');
for (int i = 0; i < sampleIdsArray.Length; i++)
{
var sampleId = Convert.ToInt16(sampleIdsArray[i]);
if (sampleId == 1)
{
Validate.AreEqual(plateValues[i].ToArgb(), Color.White.ToArgb(), "Validate sample is white");
}
else if (sampleId == 2)
{
Validate.AreEqual(plateValues[i].ToArgb(), Color.Red.ToArgb(), "Validate sample is red");
}
else if (sampleId == 3)
{
Validate.AreEqual(plateValues[i].ToArgb(), Color.Yellow.ToArgb(), "Validate sample is yellow");
}
else if (sampleId == 4)
{
Validate.AreEqual(plateValues[i].ToArgb(), Color.Aqua.ToArgb(), "Validate sample is aqua");
}
else if (sampleId == 5)
{
Validate.AreEqual(plateValues[i].ToArgb(), Color.Lime.ToArgb(), "Validate sample is lime");
}
else
{
Report.Failure("Wrong sample id parameter");
}
}
for (int i = 0; i < plateValues.Count; i++)
{
var color = plateValues[i].ToArgb();
}
}
public void checkFlaggedAmount(int expectedCount, Adapter adapter)
{
MeasurementsHelper helper = new MeasurementsHelper();
var plateValues = helper.GetFlaggedPlateValues(adapter);
int crossedCount = 0;
foreach (bool item in plateValues)
{
if (item.Equals(true))
{
crossedCount++;
}
Report.Info(String.Format("element: " + item));
}
Report.Info(String.Format("Is crossed: {0}.", crossedCount));
Report.Info(String.Format("Expected crossed count: {0}.", expectedCount));
Validate.AreEqual(crossedCount, expectedCount, "On the plate control, flagged positions are as expected.");
}
private NotMeasuredReasons MeasureObject(
IImagePixel center,
uint[,] data,
uint[,] backgroundPixels,
int bpp,
MeasurementsHelper measurer,
TangraConfig.PreProcessingFilter filter,
TangraConfig.PhotometryReductionMethod reductionMethod,
TangraConfig.PsfQuadrature psfQuadrature,
TangraConfig.PsfFittingMethod psfFittngMethod,
float aperture,
double refinedFWHM,
float refinedAverageFWHM,
IMeasurableObject measurableObject,
IImagePixel[] groupCenters,
float[] aperturesInGroup,
bool fullDisappearance
)
{
return(measurer.MeasureObject(
center, data, backgroundPixels, bpp, filter, reductionMethod, psfQuadrature, psfFittngMethod,
aperture, refinedFWHM, refinedAverageFWHM, measurableObject, groupCenters, aperturesInGroup, fullDisappearance));
}
private LCMeasurement ProcessSingleUnit(
LCMeasurement reading,
bool useLowPass,
bool useLowPassDiff,
int newFitMatrixSize,
float newSignalAperture,
bool fixedAperture,
MeasurementsHelper measurer,
IImagePixel[] groupCenters,
float[] aperturesInGroup)
{
reading.ReProcessingPsfFitMatrixSize = newFitMatrixSize;
TrackedObjectConfig objConfig = Footer.TrackedObjects[reading.TargetNo];
ImagePixel center = new ImagePixel(reading.X0, reading.Y0);
int areaSize = groupCenters != null && groupCenters.Length > 1 ? 35 : 17;
if (Context.Filter != LightCurveContext.FilterType.NoFilter)
{
areaSize += 2;
}
uint[,] data = BitmapFilter.CutArrayEdges(reading.PixelData, (35 - areaSize) / 2);
var filter = TangraConfig.PreProcessingFilter.NoFilter;
if (useLowPassDiff)
{
filter = TangraConfig.PreProcessingFilter.LowPassDifferenceFilter;
}
else if (useLowPass)
{
filter = TangraConfig.PreProcessingFilter.LowPassFilter;
}
NotMeasuredReasons rv = ReduceLightCurveOperation.MeasureObject(
center,
data,
reading.PixelData,
Context.BitPix,
measurer,
filter,
Context.SignalMethod,
Context.PsfQuadratureMethod,
Context.PsfFittingMethod,
newSignalAperture,
objConfig.RefinedFWHM,
Footer.RefinedAverageFWHM,
reading,
groupCenters,
aperturesInGroup,
Footer.ReductionContext.FullDisappearance);
reading.SetIsMeasured(rv);
reading.TotalReading = (uint)measurer.TotalReading;
reading.TotalBackground = (uint)measurer.TotalBackground;
reading.ApertureX = measurer.XCenter;
reading.ApertureY = measurer.YCenter;
reading.ApertureSize = measurer.Aperture;
return(reading);
}
private void Worker(object state)
{
bool useLowPassDiff = Context.Filter == LightCurveContext.FilterType.LowPassDifference;
bool useLowPass = Context.Filter == LightCurveContext.FilterType.LowPass;
LightCurveController.ReloadAllReadingsFromLcFile();
MeasurementsHelper measurer = new MeasurementsHelper(
Context.BitPix,
Context.BackgroundMethod,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(Context.BitPix, Context.MaxPixelValue));
measurer.SetCoreProperties(
TangraConfig.Settings.Photometry.AnnulusInnerRadius,
TangraConfig.Settings.Photometry.AnnulusMinPixels,
TangraConfig.PhotometrySettings.REJECTION_BACKGROUND_PIXELS_STD_DEV,
Header.PositionTolerance);
m_EllapsedTime.Start();
//measurer.GetImagePixelsCallback += new MeasurementsHelper.GetImagePixelsDelegate(measurer_GetImagePixelsCallback);
int refreshCount = m_RefreshProgressEveryHowManyItems;
List <LCMeasurement> readings0 = Context.AllReadings[0];
List <LCMeasurement> readings1 = Header.ObjectCount > 1 ? Context.AllReadings[1] : null;
List <LCMeasurement> readings2 = Header.ObjectCount > 2 ? Context.AllReadings[2] : null;
List <LCMeasurement> readings3 = Header.ObjectCount > 3 ? Context.AllReadings[3] : null;
int processedCount = 0;
for (int i = 0; i < readings0.Count; i++)
{
List <LCMeasurement> units = new List <LCMeasurement>();
units.Add(readings0[i]);
if (Header.ObjectCount > 1)
{
units.Add(readings1[i]);
}
if (Header.ObjectCount > 2)
{
units.Add(readings2[i]);
}
if (Header.ObjectCount > 3)
{
units.Add(readings3[i]);
}
if (m_CancelExecution)
{
Invoke(new MethodInvoker(Cancelled));
return;
}
ProcessSingleUnitSet(units, useLowPass, useLowPassDiff, measurer);
readings0[i] = units[0];
if (Header.ObjectCount > 1)
{
readings1[i] = units[1];
}
if (Header.ObjectCount > 2)
{
readings2[i] = units[2];
}
if (Header.ObjectCount > 3)
{
readings3[i] = units[3];
}
processedCount++;
if (processedCount % refreshCount == 0)
{
Invoke(new ProgressDelegate(OnProgress), 0, processedCount);
if (Header.ObjectCount > 1)
{
Invoke(new ProgressDelegate(OnProgress), 1, processedCount);
}
if (Header.ObjectCount > 2)
{
Invoke(new ProgressDelegate(OnProgress), 2, processedCount);
}
if (Header.ObjectCount > 3)
{
Invoke(new ProgressDelegate(OnProgress), 3, processedCount);
}
}
}
Invoke(new MethodInvoker(Done));
}
private bool GetFitInMatrix(ITrackedObjectPsfFit gaussian, ref int matirxSize, float preselectedAperture)
{
rbGuidingStar.Text = "Guiding/Comparison Star";
m_IsBrightEnoughForAutoGuidingStar = false;
if (m_Aperture == null)
{
if (gaussian != null && !double.IsNaN(gaussian.FWHM) && TangraConfig.Settings.Photometry.SignalApertureUnitDefault == TangraConfig.SignalApertureUnit.FWHM)
{
m_Aperture = (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
else
{
m_Aperture = (float)(TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
}
else if (
gaussian != null && !double.IsNaN(gaussian.FWHM) && TangraConfig.Settings.Photometry.SignalApertureUnitDefault == TangraConfig.SignalApertureUnit.FWHM &&
m_Aperture < (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture))
{
m_Aperture = (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
nudFitMatrixSize.ValueChanged -= nudFitMatrixSize_ValueChanged;
try
{
uint[,] autoStarsPixels = m_AstroImage.GetMeasurableAreaPixels(m_Center.X, m_Center.Y, 35);
m_AutoStarsInLargerArea = StarFinder.GetStarsInArea(
ref autoStarsPixels,
m_AstroImage.Pixelmap.BitPixCamera,
m_AstroImage.Pixelmap.MaxSignalValue,
m_AstroImage.MedianNoise,
LightCurveReductionContext.Instance.DigitalFilter);
m_ProcessingPixels = ImageFilters.CutArrayEdges(autoStarsPixels, 9);
m_DisplayPixels = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(m_Center.X, m_Center.Y, 17);
m_AutoStarsInArea = new List <PSFFit>();
foreach (PSFFit autoStar in m_AutoStarsInLargerArea)
{
if (autoStar.XCenter > 9 && autoStar.XCenter < 9 + 17 &&
autoStar.YCenter > 9 && autoStar.YCenter < 9 + 17)
{
// Don't change original star so use a clone
PSFFit clone = autoStar.Clone();
clone.SetNewFieldCenterFrom35PixMatrix(8, 8);
m_AutoStarsInArea.Add(clone);
}
}
int oldMatirxSize = matirxSize;
if (m_AutoStarsInArea.Count == 0)
{
rbGuidingStar.Text = "Guiding/Comparison Star";
// There are no stars that are bright enough. Simply let the user do what they want, but still try to default to a sensible aperture size
MeasurementsHelper measurement = ReduceLightCurveOperation.DoConfiguredMeasurement(m_ProcessingPixels, m_Aperture.Value, m_AstroImage.Pixelmap.BitPixCamera, m_AstroImage.Pixelmap.MaxSignalValue, 3.0, ref matirxSize);
if (measurement.FoundBestPSFFit != null &&
measurement.FoundBestPSFFit.IsSolved &&
measurement.FoundBestPSFFit.Certainty > 0.1)
{
m_X0 = measurement.XCenter;
m_Y0 = measurement.YCenter;
m_FWHM = (float)measurement.FoundBestPSFFit.FWHM;
}
else
{
m_X0 = 8;
m_Y0 = 8;
m_FWHM = 6;
}
m_Gaussian = null;
nudFitMatrixSize.SetNUDValue(11);
}
else if (m_AutoStarsInArea.Count == 1)
{
// There is exactly one good star found. Go and do a fit in a wider area
double bestFindTolerance = 3.0;
for (int i = 0; i < 2; i++)
{
MeasurementsHelper measurement = ReduceLightCurveOperation.DoConfiguredMeasurement(m_ProcessingPixels, m_Aperture.Value, m_AstroImage.Pixelmap.BitPixCamera, m_AstroImage.Pixelmap.MaxSignalValue, bestFindTolerance, ref matirxSize);
if (measurement != null && matirxSize != -1)
{
if (matirxSize < 5)
{
// Do a centroid in the full area, and get another matix centered at the centroid
ImagePixel centroid = new ImagePixel(m_Center.X, m_Center.Y);
m_ProcessingPixels = m_AstroImage.GetMeasurableAreaPixels(centroid);
m_DisplayPixels = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(centroid);
m_X0 = centroid.X;
m_Y0 = centroid.Y;
m_FWHM = 6;
m_Gaussian = null;
nudFitMatrixSize.SetNUDValue(11);
}
else
{
m_X0 = measurement.XCenter;
m_Y0 = measurement.YCenter;
if (measurement.FoundBestPSFFit != null)
{
m_FWHM = (float)measurement.FoundBestPSFFit.FWHM;
m_Gaussian = measurement.FoundBestPSFFit;
}
else
{
m_FWHM = 6;
m_Gaussian = null;
}
m_ProcessingPixels = measurement.PixelData;
nudFitMatrixSize.SetNUDValue(matirxSize);
}
}
else
{
matirxSize = oldMatirxSize;
return(false);
}
if (m_Gaussian != null)
{
if (IsBrightEnoughtForGuidingStar())
{
rbGuidingStar.Text = "Guiding/Comparison Star";
m_IsBrightEnoughForAutoGuidingStar = true;
}
break;
}
}
}
else if (m_AutoStarsInArea.Count > 1)
{
rbGuidingStar.Text = "Guiding/Comparison Star";
// There are more stars found.
double xBest = m_Gaussian != null
? m_Gaussian.XCenter
: m_IsEdit ? ObjectToAdd.ApertureMatrixX0
: 8.5;
double yBest = m_Gaussian != null
? m_Gaussian.YCenter
: m_IsEdit ? ObjectToAdd.ApertureMatrixY0
: 8.5;
// by default use the one closest to the original location
PSFFit closestFit = m_AutoStarsInArea[0];
double closestDist = double.MaxValue;
foreach (PSFFit star in m_AutoStarsInArea)
{
double dist =
Math.Sqrt((star.XCenter - xBest) * (star.XCenter - xBest) +
(star.YCenter - yBest) * (star.YCenter - yBest));
if (closestDist > dist)
{
closestDist = dist;
closestFit = star;
}
}
m_X0 = (float)closestFit.XCenter;
m_Y0 = (float)closestFit.YCenter;
m_FWHM = (float)closestFit.FWHM;
m_Gaussian = closestFit;
nudFitMatrixSize.SetNUDValue(m_IsEdit ? ObjectToAdd.PsfFitMatrixSize : closestFit.MatrixSize);
}
//if (m_Gaussian == null && gaussian.Certainty > 0.1 && ImagePixel.ComputeDistance(gaussian.X0_Matrix, 8, gaussian.Y0_Matrix, 8) < 3)
//{
// // Id we failed to locate a bright enough autostar, but the default Gaussian is still certain enough and close enought to the center, we present it as a starting point
// m_X0 = (float)gaussian.X0_Matrix;
// m_Y0 = (float)gaussian.Y0_Matrix;
// m_FWHM = (float)gaussian.FWHM;
// m_Gaussian = gaussian;
//}
decimal appVal;
if (float.IsNaN(preselectedAperture))
{
if (float.IsNaN(m_Aperture.Value))
{
appVal = Convert.ToDecimal(TangraConfig.Settings.Photometry.DefaultSignalAperture);
}
else
{
appVal = Convert.ToDecimal(m_Aperture.Value);
if (nudAperture1.Maximum < appVal)
{
nudAperture1.Maximum = appVal + 1;
}
}
}
else
{
appVal = (decimal)preselectedAperture;
}
if ((float)appVal > m_Aperture)
{
m_Aperture = (float)appVal;
}
nudAperture1.SetNUDValue(Math.Round(appVal, 2));
PlotSingleTargetPixels();
PlotGaussian();
return(true);
}
finally
{
nudFitMatrixSize.ValueChanged += nudFitMatrixSize_ValueChanged;
}
}
private void InitStarAmplitudeModelling(ModelConfig modelConfig, float accuracy, int bitPix, uint maxSignalValue)
{
if (m_MagnitudeToPeakDict != null)
{
return;
}
m_MagnitudeToPeakDict = new Dictionary <double, int>();
m_MagnitudeToPeakMags = new List <double>();
m_MagnitudeToPeakPeaks = new List <int>();
var mea = new MeasurementsHelper(
bitPix,
TangraConfig.BackgroundMethod.BackgroundMedian,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(bitPix, maxSignalValue));
float apertureSize = APERTURE;
float annulusInnerRadius = (GAP + APERTURE) / APERTURE;
int annulusMinPixels = (int)(Math.PI * (Math.Pow(ANNULUS + GAP + APERTURE, 2) - Math.Pow(GAP + APERTURE, 2)));
mea.SetCoreProperties(annulusInnerRadius, annulusMinPixels, CorePhotometrySettings.Default.RejectionBackgroundPixelsStdDev, 2 /* TODO: This must be configurable */);
int peak = (int)(maxSignalValue - (modelConfig.NoiseMean + modelConfig.DarkFrameMean) * modelConfig.Integration);
int TOTAL_STEPS = 100;
double step = Math.Log10(peak) / TOTAL_STEPS;
double zeroMag = double.NaN;
for (int ii = 0; ii < TOTAL_STEPS; ii++)
{
int amplitude = (int)Math.Round(Math.Pow(10, Math.Log10(peak) - ii * step));
Pixelmap pixmap = new Pixelmap(64, 64, bitPix, new uint[64 * 64], null, null);
VideoModelUtils.GenerateStar(pixmap, 32, 32, (float)modelConfig.FWHM, amplitude, 0 /* Gaussian */);
PSFFit fit = new PSFFit(32, 32);
AstroImage img = new AstroImage(pixmap);
uint[,] data = img.GetMeasurableAreaPixels(32, 32, 17);
uint[,] backgroundPixels = img.GetMeasurableAreaPixels(32, 32, 35);
fit.Fit(data);
var result = mea.MeasureObject(new ImagePixel(32, 32), data, backgroundPixels, pixmap.BitPixCamera,
TangraConfig.PreProcessingFilter.NoFilter,
TangraConfig.PhotometryReductionMethod.AperturePhotometry, TangraConfig.PsfQuadrature.NumericalInAperture,
TangraConfig.PsfFittingMethod.DirectNonLinearFit,
apertureSize, modelConfig.FWHM, (float)modelConfig.FWHM,
new FakeIMeasuredObject(fit),
null, null,
false);
if (result == NotMeasuredReasons.TrackedSuccessfully && !mea.HasSaturatedPixels)
{
// Add value for fitting
double measurement = mea.TotalReading - mea.TotalBackground;
if (double.IsNaN(zeroMag))
{
zeroMag = modelConfig.BrighestUnsaturatedStarMag + 2.5 * Math.Log10(measurement);
}
double magnitude = -2.5 * Math.Log10(measurement) + zeroMag;
m_MagnitudeToPeakDict[magnitude] = amplitude;
m_MagnitudeToPeakMags.Add(magnitude);
m_MagnitudeToPeakPeaks.Add(amplitude);
}
}
}
private void GenerateFrame(Pixelmap pixmap, List <IStar> stars, ModelConfig modelConfig)
{
var mea = new MeasurementsHelper(
pixmap.BitPixCamera,
TangraConfig.BackgroundMethod.BackgroundMedian,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(pixmap.BitPixCamera, pixmap.MaxSignalValue));
float apertureSize = APERTURE;
float annulusInnerRadius = (GAP + APERTURE) / APERTURE;
int annulusMinPixels = (int)(Math.PI * (Math.Pow(ANNULUS + GAP + APERTURE, 2) - Math.Pow(GAP + APERTURE, 2)));
mea.SetCoreProperties(annulusInnerRadius, annulusMinPixels, CorePhotometrySettings.Default.RejectionBackgroundPixelsStdDev, 2 /* TODO: This must be configurable */);
var measurements = new Dictionary <IStar, double>();
foreach (IStar star in stars)
{
double x, y;
GetOnPlateCoordinates(star.RADeg, star.DEDeg, modelConfig, out x, out y);
if (x < 0 || x > modelConfig.FrameWidth || y < 0 || y > modelConfig.FrameHeight)
{
continue;
}
float starMag = GetStarMag(star, modelConfig.PhotometricFilter);
float iMax = ModelStarAmplitude(star, starMag, modelConfig, pixmap.BitPixCamera, pixmap.MaxSignalValue);
if (!float.IsNaN(iMax))
{
VideoModelUtils.GenerateStar(pixmap, (float)x, (float)y, (float)modelConfig.FWHM, iMax, 0 /*Use Gaussian */);
if (modelConfig.CheckMagnitudes)
{
var image = new AstroImage(pixmap);
uint[,] data = image.GetMeasurableAreaPixels((int)x, (int)y, 17);
uint[,] backgroundPixels = image.GetMeasurableAreaPixels((int)x, (int)y, 35);
PSFFit fit = new PSFFit((int)x, (int)y);
fit.Fit(data);
var result = mea.MeasureObject(new ImagePixel(x, y), data, backgroundPixels, pixmap.BitPixCamera,
TangraConfig.PreProcessingFilter.NoFilter,
TangraConfig.PhotometryReductionMethod.AperturePhotometry, TangraConfig.PsfQuadrature.NumericalInAperture,
TangraConfig.PsfFittingMethod.DirectNonLinearFit,
apertureSize, modelConfig.FWHM, (float)modelConfig.FWHM,
new FakeIMeasuredObject(fit),
null, null,
false);
if (result == NotMeasuredReasons.TrackedSuccessfully && !mea.HasSaturatedPixels)
{
// Add value for fitting
measurements.Add(star, mea.TotalReading - mea.TotalBackground);
}
}
}
}
if (modelConfig.CheckMagnitudes)
{
CalculateGagnitudeFit(measurements, modelConfig.BVSlope);
}
}
public StarMagnitudeFit(
AstroImage astroImage,
int bitPix,
List <double> intencities,
List <double> magnitudes,
List <double> colours,
List <IStar> starNumbers,
List <PSFFit> psfGaussians,
List <double> profileFittedAmplitudes,
List <bool> saturatedFlags,
double a, double b, double c, float encodingGamma, TangraConfig.KnownCameraResponse reverseCameraResponse, int excludedStars,
TangraConfig.PreProcessingFilter filter, double empericalFWHM,
TangraConfig.PhotometryReductionMethod photometryReductionMethod,
TangraConfig.BackgroundMethod photometryBackgroundMethod,
TangraConfig.PsfQuadrature psfQuadrature,
TangraConfig.PsfFittingMethod psfFittingMethod,
MeasurementsHelper measurer,
float?aperture)
{
m_CurrentAstroImage = astroImage;
m_BitPix = bitPix;
m_Intencities = intencities;
m_Magnitudes = magnitudes;
m_Colours = colours;
m_Residuals = new List <double>();
m_StarNumbers = starNumbers;
m_PSFGaussians = psfGaussians;
m_EncodingGamma = encodingGamma;
m_ReverseCameraResponse = reverseCameraResponse;
m_ExcludedStars = excludedStars;
m_SaturatedFlags = saturatedFlags;
m_ProfileFittedAmplitudes = profileFittedAmplitudes;
m_Sigma = 0;
for (int i = 0; i < intencities.Count; i++)
{
double computed = a * -2.5 * Math.Log10(intencities[i]) + b * colours[i] + c;
double diff = Math.Abs(computed - magnitudes[i]);
m_Residuals.Add(diff);
m_Sigma += diff * diff;
}
m_Sigma = Math.Sqrt(m_Sigma / (m_Residuals.Count - 1));
m_Filter = filter;
m_EmpericalFWHM = empericalFWHM;
m_PhotometryReductionMethod = photometryReductionMethod;
m_PhotometryBackgroundMethod = photometryBackgroundMethod;
m_PsfQuadrature = psfQuadrature;
m_PsfFittingMethod = psfFittingMethod;
m_A = a;
m_B = b;
m_C = c;
m_Measurer = measurer.Clone();
m_MeasurementAperture = aperture;
m_Sigma = 0;
m_MinRes = double.MaxValue;
m_MaxRes = double.MinValue;
m_MinMag = double.MaxValue;
m_MaxMag = double.MinValue;
for (int i = 0; i < m_Residuals.Count; i++)
{
double res = m_Residuals[i];
m_Sigma += res * res;
if (m_MinRes > res)
{
m_MinRes = res;
}
if (m_MaxRes < res)
{
m_MaxRes = res;
}
double mag = m_Magnitudes[i];
if (m_MinMag > mag)
{
m_MinMag = mag;
}
if (m_MaxMag < mag)
{
m_MaxMag = mag;
}
}
m_Sigma = Math.Sqrt(m_Sigma / m_Residuals.Count);
}
public static StarMagnitudeFit PerformFit(
IAstrometryController astrometryController,
IVideoController videoController,
int bitPix,
uint maxSignalValue,
FitInfo astrometricFit,
TangraConfig.PhotometryReductionMethod photometryReductionMethod,
TangraConfig.PsfQuadrature psfQuadrature,
TangraConfig.PsfFittingMethod psfFittingMethod,
TangraConfig.BackgroundMethod photometryBackgroundMethod,
TangraConfig.PreProcessingFilter filter,
List <IStar> catalogueStars,
Guid magnitudeBandId,
float encodingGamma,
TangraConfig.KnownCameraResponse reverseCameraResponse,
float?aperture,
float?annulusInnerRadius,
int?annulusMinPixels,
ref float empericalPSFR0)
{
uint saturatedValue = TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(bitPix, maxSignalValue);
MeasurementsHelper measurer = new MeasurementsHelper(
bitPix,
photometryBackgroundMethod,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
saturatedValue);
measurer.SetCoreProperties(
annulusInnerRadius ?? TangraConfig.Settings.Photometry.AnnulusInnerRadius,
annulusMinPixels ?? TangraConfig.Settings.Photometry.AnnulusMinPixels,
CorePhotometrySettings.Default.RejectionBackgroundPixelsStdDev,
2 /* TODO: This must be configurable */);
var bgProvider = new BackgroundProvider(videoController);
measurer.GetImagePixelsCallback += new MeasurementsHelper.GetImagePixelsDelegate(bgProvider.measurer_GetImagePixelsCallback);
List <double> intencities = new List <double>();
List <double> magnitudes = new List <double>();
List <double> colours = new List <double>();
List <double> residuals = new List <double>();
List <bool> saturatedFlags = new List <bool>();
List <IStar> stars = new List <IStar>();
List <PSFFit> gaussians = new List <PSFFit>();
List <MagFitRecord> fitRecords = new List <MagFitRecord>();
AstroImage currentAstroImage = videoController.GetCurrentAstroImage(false);
Rectangle osdRectToExclude = astrometryController.OSDRectToExclude;
Rectangle rectToInclude = astrometryController.RectToInclude;
bool limitByInclusion = astrometryController.LimitByInclusion;
int matSize = CorePhotometrySettings.Default.MatrixSizeForCalibratedPhotometry;
double a = double.NaN;
double b = double.NaN;
double c = double.NaN;
int excludedStars = 0;
double empericalFWHM = double.NaN;
try
{
foreach (PlateConstStarPair pair in astrometricFit.AllStarPairs)
{
if (limitByInclusion && !rectToInclude.Contains((int)pair.x, (int)pair.y))
{
continue;
}
if (!limitByInclusion && osdRectToExclude.Contains((int)pair.x, (int)pair.y))
{
continue;
}
IStar star = catalogueStars.Find(s => s.StarNo == pair.StarNo);
if (star == null || double.IsNaN(star.Mag) || star.Mag == 0)
{
continue;
}
uint[,] data = currentAstroImage.GetMeasurableAreaPixels((int)pair.x, (int)pair.y, matSize);
PSFFit fit = new PSFFit((int)pair.x, (int)pair.y);
fit.Fit(data, PSF_FIT_AREA_SIZE);
if (!fit.IsSolved)
{
continue;
}
MagFitRecord record = new MagFitRecord();
record.Star = star;
record.Pair = pair;
record.PsfFit = fit;
record.Saturation = IsSaturated(data, matSize, saturatedValue);
if (!EXCLUDE_SATURATED_STARS || !record.Saturation)
{
fitRecords.Add(record);
}
}
// We need the average R0 if it hasn't been determined yet
if (float.IsNaN(empericalPSFR0))
{
empericalPSFR0 = 0;
foreach (MagFitRecord rec in fitRecords)
{
empericalPSFR0 += (float)rec.PsfFit.R0;
}
empericalPSFR0 /= fitRecords.Count;
}
empericalFWHM = 2 * Math.Sqrt(Math.Log(2)) * empericalPSFR0;
foreach (MagFitRecord record in fitRecords)
{
ImagePixel center = new ImagePixel(255, record.Pair.x, record.Pair.y);
int areaSize = filter == TangraConfig.PreProcessingFilter.NoFilter ? 17 : 19;
int centerX = (int)Math.Round(center.XDouble);
int centerY = (int)Math.Round(center.YDouble);
uint[,] data = currentAstroImage.GetMeasurableAreaPixels(centerX, centerY, areaSize);
uint[,] backgroundPixels = currentAstroImage.GetMeasurableAreaPixels(centerX, centerY, 35);
measurer.MeasureObject(
center,
data,
backgroundPixels,
currentAstroImage.Pixelmap.BitPixCamera,
filter,
photometryReductionMethod,
psfQuadrature,
psfFittingMethod,
aperture != null ? aperture.Value : (float)Aperture(record.PsfFit.FWHM),
record.PsfFit.FWHM,
(float)empericalFWHM,
new FakeIMeasuredObject(record.PsfFit),
null,
null,
false);
double intensity = measurer.TotalReading - measurer.TotalBackground;
if (intensity > 0)
{
var mag = record.Star.GetMagnitudeForBand(magnitudeBandId);
var clr = record.Star.MagJ - record.Star.MagK;
if (!double.IsNaN(mag) && !double.IsNaN(clr) && !double.IsInfinity(mag) && !double.IsInfinity(clr))
{
intencities.Add(intensity);
magnitudes.Add(record.Star.GetMagnitudeForBand(magnitudeBandId));
colours.Add(record.Star.MagJ - record.Star.MagK);
gaussians.Add(record.PsfFit);
stars.Add(record.Star);
saturatedFlags.Add(measurer.HasSaturatedPixels || record.PsfFit.IMax >= measurer.SaturationValue);
}
}
}
// Remove stars with unusual PSF fit radii (once only)
double sum = 0;
for (int i = 0; i < gaussians.Count; i++)
{
sum += gaussians[i].R0;
}
double averageR = sum / gaussians.Count;
residuals.Clear();
sum = 0;
for (int i = 0; i < gaussians.Count; i++)
{
residuals.Add(averageR - gaussians[i].R0);
sum += (averageR - gaussians[i].R0) * (averageR - gaussians[i].R0);
}
double stdDev = Math.Sqrt(sum) / gaussians.Count;
if (EXCLUDE_BAD_RESIDUALS)
{
for (int i = residuals.Count - 1; i >= 0; i--)
{
if (Math.Abs(residuals[i]) > 6 * stdDev)
{
intencities.RemoveAt(i);
magnitudes.RemoveAt(i);
colours.RemoveAt(i);
stars.RemoveAt(i);
gaussians.RemoveAt(i);
saturatedFlags.RemoveAt(i);
}
}
}
double maxResidual = Math.Max(0.1, TangraConfig.Settings.Photometry.MaxResidualStellarMags);
for (int itter = 1; itter <= MAX_ITERR; itter++)
{
residuals.Clear();
SafeMatrix A = new SafeMatrix(intencities.Count, 3);
SafeMatrix X = new SafeMatrix(intencities.Count, 1);
int idx = 0;
for (int i = 0; i < intencities.Count; i++)
{
A[idx, 0] = magnitudes[i];
A[idx, 1] = colours[i];
A[idx, 2] = 1;
X[idx, 0] = -2.5 * Math.Log10(intencities[i]);
idx++;
}
SafeMatrix a_T = A.Transpose();
SafeMatrix aa = a_T * A;
SafeMatrix aa_inv = aa.Inverse();
SafeMatrix bx = (aa_inv * a_T) * X;
double Ka = bx[0, 0];
double Kb = bx[1, 0];
double Kc = bx[2, 0];
// -2.5 * a * Log(Median-Intensity) = A * Mv + B * Mjk + C - b
// -2.5 * Log(Median-Intensity) = Ka * Mv + Kb * Mjk + Kc
// Mv = -2.5 * a * Log(Median-Intensity) - b * Mjk - c
a = 1 / Ka;
b = -Kb / Ka;
c = -Kc / Ka;
int starsExcludedThisTime = 0;
if (EXCLUDE_BAD_RESIDUALS)
{
List <int> indexesToRemove = new List <int>();
for (int i = 0; i < intencities.Count; i++)
{
double computed = a * -2.5 * Math.Log10(intencities[i]) + b * colours[i] + c;
double diff = Math.Abs(computed - magnitudes[i]);
if (itter < MAX_ITERR)
{
if (Math.Abs(diff) > maxResidual)
{
indexesToRemove.Add(i);
}
}
else
{
residuals.Add(diff);
}
}
for (int i = indexesToRemove.Count - 1; i >= 0; i--)
{
int idxToRemove = indexesToRemove[i];
intencities.RemoveAt(idxToRemove);
magnitudes.RemoveAt(idxToRemove);
colours.RemoveAt(idxToRemove);
stars.RemoveAt(idxToRemove);
gaussians.RemoveAt(idxToRemove);
saturatedFlags.RemoveAt(idxToRemove);
excludedStars++;
starsExcludedThisTime++;
}
}
if (starsExcludedThisTime == 0)
{
break;
}
}
}
catch (Exception ex)
{
Trace.WriteLine(ex.ToString());
}
return(new StarMagnitudeFit(
currentAstroImage,
bitPix,
intencities, magnitudes, colours, stars, gaussians, new List <double>(),
saturatedFlags, a, b, c, encodingGamma, reverseCameraResponse, excludedStars, filter, empericalFWHM,
photometryReductionMethod, photometryBackgroundMethod, psfQuadrature, psfFittingMethod, measurer, aperture));
}
