public void Test12BitData()
{
string DATA_SER =
"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";
uint[,] data = DATA_SER.FromBase64String();
int width = data.GetLength(0);
int height = data.GetLength(1);
int MAX = 255;
uint[,] data_8bit = new uint[width,height];
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
data_8bit[x, y] = (uint)Math.Max(0, Math.Min(MAX, Math.Round(data[x, y] * MAX * 1.0f / 4095)));
}
}
PSFFit.DataRange = PSFFittingDataRange.DataRange12Bit;
var psfFit8bit = new PSFFit(100, 100);
psfFit8bit.Fit(data_8bit);
Console.WriteLine(string.Format("8Bit: ({0}, {1})", psfFit8bit.XCenter, psfFit8bit.YCenter));
PSFFit.DataRange = PSFFittingDataRange.DataRange12Bit;
var psfFit = new PSFFit(100, 100);
psfFit.Fit(data);
Console.WriteLine(string.Format("12Bit: ({0}, {1})", psfFit.XCenter, psfFit.YCenter));
Assert.AreEqual(psfFit8bit.XCenter, psfFit.XCenter, 0.01);
Assert.AreEqual(psfFit8bit.YCenter, psfFit.YCenter, 0.01);
}
public frmTargetPSFViewerForm(VideoController videoController)
{
InitializeComponent();
m_VideoController = videoController;
m_PSFFit = null;
cbMeaMethod.SelectedIndex = 0;
}
public ObjectClickEventArgs(ImagePixel pixel, PSFFit gausian, Point location, bool shiftHeld, bool ctrlHeld, MouseEventArgs mouseEventArgs)
{
ClickLocation = location;
Pixel = pixel;
Gausian = gausian;
Shift = shiftHeld;
Control = ctrlHeld;
MouseEventArgs = mouseEventArgs;
}
public void SetTrackedObjectMatch(PSFFit psfFitMatched)
{
PSFFit = psfFitMatched;
Center = new ImagePixel((int)psfFitMatched.IMax, psfFitMatched.XCenter, psfFitMatched.YCenter);
IsLocated = true;
NotMeasuredReasons = NotMeasuredReasons.TrackedSuccessfully;
if (PSFFit != null && PSFFit.IsSolved)
{
LastKnownGoodPosition = new ImagePixel(Center.Brightness, Center.XDouble, Center.YDouble);
LastKnownGoodPsfCertainty = PSFFit.Certainty;
}
}
private void TrackSingleStar(int frameNo, IAstroImage astroImage)
{
TrackedStar.NewFrame();
float expectedX;
float expectedY;
GetExpectedXY(out expectedX, out expectedY);
uint[,] pixels = astroImage.GetPixelsArea((int)expectedX, (int)expectedY, FIT_AREA);
// There is only one object in the area, just do a wide fit followed by a fit with the selected matrix size
PSFFit gaussian = new PSFFit((int)expectedX, (int)expectedY);
gaussian.Fit(pixels, FIT_AREA);
IImagePixel firstCenter = new ImagePixel((int)gaussian.XCenter, (int)gaussian.YCenter);
pixels = astroImage.GetPixelsArea(firstCenter.X, firstCenter.Y, FIT_AREA);
gaussian = new PSFFit(firstCenter.X, firstCenter.Y);
gaussian.Fit(pixels, TrackedStar.PsfFitMatrixSize);
if (gaussian.IsSolved)
{
TrackedStar.PSFFit = gaussian;
TrackedStar.ThisFrameX = (float)gaussian.XCenter;
TrackedStar.ThisFrameY = (float)gaussian.YCenter;
TrackedStar.ThisSignalLevel = (float)(gaussian.IMax - gaussian.I0);
TrackedStar.ThisFrameCertainty = (float)gaussian.Certainty;
TrackedStar.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfully);
}
else
{
TrackedStar.ThisFrameX = expectedX;
TrackedStar.ThisFrameY = expectedY;
TrackedStar.ThisFrameCertainty = (float)gaussian.Certainty;
Trace.WriteLine(string.Format("Frame {0}: Cannot confirm target {1} [SingleStar]. Cannot solve second PSF", m_FrameNo, TrackedStar.TargetNo));
TrackedStar.SetIsLocated(false, NotMeasuredReasons.PSFFittingFailed);
}
}
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);
}
private void PlotAperturePreview()
{
if (m_MeasurementContext.ObjectToMeasure != null)
{
float x0 = m_MeasurementContext.ObjectToMeasure.X0;
float y0 = m_MeasurementContext.ObjectToMeasure.Y0;
// x0 and y0 were measured on the first frame but we may have moved to a different frame due to positioning to the first frame of integration period
// so we determine the position of the object on the current frame in order to draw the aperture nicely centered
var fit = new PSFFit((int)x0, (int)y0);
fit.Fit(m_VideoController.GetCurrentAstroImage(false).GetMeasurableAreaPixels((int)x0, (int)y0));
if (fit.IsSolved)
{
x0 = (float)fit.XCenter;
y0 = (float)fit.YCenter;
}
byte[,] bmpPixels = m_VideoController.GetCurrentAstroImage(false).GetMeasurableAreaDisplayBitmapPixels((int) x0, (int) y0, 85);
Bitmap bmp = Pixelmap.ConstructBitmapFromBitmapPixels(bmpPixels, 85, 85);
using (Graphics g = Graphics.FromImage(pboxAperturePreview.Image))
{
g.DrawImage(bmp, 0, 0);
float xCenter = (x0 - (int)x0) + 42;
float yCenter = (y0 - (int)y0) + 42;
float radius = (float) nudAperture.Value;
g.DrawEllipse(Pens.YellowGreen, xCenter - radius, yCenter - radius, 2 * radius, 2 * radius);
radius = (float)(nudAperture.Value + nudGap.Value);
g.DrawEllipse(Pens.YellowGreen, xCenter - radius, yCenter - radius, 2 * radius, 2 * radius);
radius = (float)(nudAperture.Value + nudGap.Value + nudAnnulus.Value);
g.DrawEllipse(Pens.YellowGreen, xCenter - radius, yCenter - radius, 2 * radius, 2 * radius);
g.Save();
}
pboxAperturePreview.Invalidate();
}
}
public static void PSFPhotometry(FitInfo astrometricFit, List<IStar> catalogueStars, AstroImage currentAstroImage, Rectangle osdRectToExclude, Rectangle rectToInclude, bool limitByInclusion)
{
StringBuilder output = new StringBuilder();
foreach (PlateConstStarPair pair in astrometricFit.AllStarPairs)
{
uint[,] data = currentAstroImage.GetMeasurableAreaPixels(
(int)Math.Round(pair.x), (int)Math.Round(pair.y), 9);
if (limitByInclusion && !rectToInclude.Contains((int)pair.x, (int)pair.y)) continue;
if (!limitByInclusion && osdRectToExclude.Contains((int)pair.x, (int)pair.y)) continue;
PSFFit gaussian = new PSFFit((int)Math.Round(pair.x), (int)Math.Round(pair.y));
gaussian.Fit(data);
if (gaussian.IsSolved)
{
IStar star = catalogueStars.Find(s => s.StarNo == pair.StarNo);
if (star != null &&
!double.IsNaN(star.MagR))
{
output.AppendLine(string.Format("{0}, {1}, {2}, {3}, {4}", pair.StarNo, star.MagR, gaussian.R0, gaussian.IMax, gaussian.I0));
}
}
}
File.WriteAllText(@"C:\PSF_Photo.csv", output.ToString());
}
internal void SetRefinedSignalLevel(PSFFit gaussian)
{
RefinedSignalLevel = (float)(gaussian.IMax - gaussian.I0);
}
public static double DistanceTo(this PSFFit psf1, PSFFit psf2)
{
return Math.Sqrt(Math.Pow(psf1.XCenter - psf2.XCenter, 2) + Math.Pow(psf1.YCenter - psf2.YCenter, 2));
}
private void LocateFullDisappearingObject(IAstroImage astroImage, TrackedObject trackedObject, IImagePixel newStaringPos)
{
if (m_Refining)
// Full disapearance is not expected during refining
LocateNonGuidingObject(astroImage, trackedObject, newStaringPos);
else
{
double averageX, averageY;
GetAverageObjectPositionsFromGuidingStars(trackedObject, newStaringPos, out averageX, out averageY);
trackedObject.ThisFrameX = (float)averageX + 0.5f;
trackedObject.ThisFrameY = (float)averageY + 0.5f;
trackedObject.PSFFit = null;
trackedObject.ThisSignalLevel = float.NaN;
trackedObject.ThisFrameCertainty = 1;
int x0 = (int) Math.Round(averageX);
int y0 = (int) Math.Round(averageY);
trackedObject.SetIsLocated(false, NotMeasuredReasons.UnknownReason);
PSFFit gaussian = null;
int smallestMatrixSize = (int)Math.Round(trackedObject.OriginalObject.ApertureInPixels * 2);
if (smallestMatrixSize % 2 == 0) smallestMatrixSize++;
// If this is not an aperture photometry we still derive a PSF
uint[,] pixels = astroImage.GetPixelsArea(x0, y0, 17);
for (int i = trackedObject.PsfFitMatrixSize; i >= smallestMatrixSize; i -= 2)
{
int borderZeroes = (trackedObject.PsfFitMatrixSize - i) / 2;
for (int x = 0; x < pixels.GetLength(0); x++)
{
for (int y = 0; y < borderZeroes; y++)
{
pixels[x, y] = 0;
pixels[x, pixels.GetLength(1) - y - 1] = 0;
}
}
for (int y = 0; y < pixels.GetLength(1); y++)
{
for (int x = 0; x < borderZeroes; x++)
{
pixels[x, y] = 0;
pixels[pixels.GetLength(0) - x - 1, y] = 0;
}
}
gaussian = new PSFFit(x0, y0);
gaussian.Fit(pixels, trackedObject.PsfFitMatrixSize);
if (gaussian.IsSolved)
{
double dist = ImagePixel.ComputeDistance((float)gaussian.XCenter, (float)averageX, (float)gaussian.YCenter, (float)averageY);
if (dist <= PositionTolerance)
{
trackedObject.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfully);
break;
}
else
trackedObject.SetIsLocated(false, NotMeasuredReasons.FoundObjectNotWithInExpectedPositionTolerance);
}
else
trackedObject.SetIsLocated(false, NotMeasuredReasons.PSFFittingFailed);
}
if (gaussian != null)
{
if (!trackedObject.IsLocated)
trackedObject.SetIsLocated(true, NotMeasuredReasons.FullyDisappearingStarMarkedTrackedWithoutBeingFound);
trackedObject.PSFFit = gaussian;
trackedObject.ThisSignalLevel = (float)(gaussian.IMax - gaussian.I0);
trackedObject.ThisFrameX = (float)gaussian.XCenter;
trackedObject.ThisFrameY = (float)gaussian.YCenter;
trackedObject.ThisFrameCertainty = (float)gaussian.Certainty;
}
}
}
public override void MouseClick(ObjectClickEventArgs e)
{
if (m_OperationState == SpectroscopyState.ChoosingStar && e.Gausian != null && e.Gausian.IsSolved && e.Gausian.Certainty > 0.2)
{
float bestAngle = m_SpectroscopyController.LocateSpectraAngle(e.Gausian);
if (float.IsNaN(bestAngle))
{
SelectedStar = new ImagePixel(e.Gausian.XCenter, e.Gausian.YCenter);
SelectedStarFWHM = e.Gausian.FWHM;
m_SelectedStarGaussian = e.Gausian;
MeasurementAreaWing = (int)(2 * Math.Ceiling(SelectedStarFWHM));
BackgroundAreaWing = MeasurementAreaWing;
BackgroundAreaGap = 5;
SelectedAnglePoint = Point.Empty;
m_ControlPanel.ClearSpectra();
m_OperationState = SpectroscopyState.ChoosingAngleManually;
}
else
{
SelectedStar = new ImagePixel(e.Gausian.XCenter, e.Gausian.YCenter);
SelectedStarFWHM = e.Gausian.FWHM;
m_SelectedStarGaussian = e.Gausian;
MeasurementAreaWing = (int)(2 * Math.Ceiling(SelectedStarFWHM));
BackgroundAreaWing = MeasurementAreaWing;
BackgroundAreaGap = 5;
SetBestAngle(bestAngle);
}
m_VideoController.RedrawCurrentFrame(false, true);
}
else if (m_OperationState == SpectroscopyState.ChoosingAngleManually && SelectedStar != null)
{
double atanAgnle = 180 * Math.Atan((SelectedStar.YDouble - e.Pixel.YDouble)/(e.Pixel.XDouble - SelectedStar.XDouble)) / Math.PI;
if (atanAgnle < 0) atanAgnle = 360 + atanAgnle;
int roughAngle = (int) atanAgnle;
float bestAngle = m_SpectroscopyController.LocateSpectraAngle(e.Gausian, roughAngle);
if (!float.IsNaN(bestAngle))
{
SetBestAngle(bestAngle);
m_VideoController.RedrawCurrentFrame(false, true);
}
}
}
public void NextFrame(int frameNo, IAstroImage astroImage)
{
m_IsTrackedSuccessfully = false;
StarMap starMap = new StarMap();
starMap.FindBestMap(
m_StarMapConfig,
(AstroImage)astroImage,
Rectangle.Empty,
new Rectangle(0, 0, astroImage.Width, astroImage.Height),
AstrometryContext.Current.LimitByInclusion);
if (starMap.Features.Count >= 5)
{
starMap.Features.Sort((x, y) => y.PixelCount.CompareTo(x.PixelCount));
int featuresToConsider = Math.Min(10, starMap.Features.Count);
var featureDistances = new List<List<double>>();
for (int i = 0; i < featuresToConsider; i++)
{
var dist = new List<double>();
for (int j = 0; j < featuresToConsider; j++) dist.Add(double.NaN);
featureDistances.Add(dist);
}
var pivotDistances = new List<List<double>>();
for (int i = 0; i < featuresToConsider; i++) pivotDistances.Add(new List<double>(UNINITIALIZED_DISTANCES));
for (int i = 0; i < featuresToConsider; i++)
{
var feature_i = starMap.Features[i];
for (int j = i + 1; j < featuresToConsider; j++)
{
var feature_j = starMap.Features[j];
double distance = feature_j.GetCenter().DistanceTo(feature_i.GetCenter());
pivotDistances[i][j] = distance;
pivotDistances[j][i] = distance;
}
}
Dictionary<int, int> pivotMap = IdentifyPivots(pivotDistances);
int identifiedObjects = 0;
for (int i = 0; i < m_TrackedObjects.Count; i++)
{
((TrackedObject)m_TrackedObjects[i]).NewFrame();
var xVals = new List<double>();
var yVals = new List<double>();
foreach (int key in pivotMap.Keys)
{
int mapsToSourceFeatureId = pivotMap[key];
xVals.Add(starMap.Features[key].GetCenter().XDouble + m_TrackedObjectsPivotDistancesX[i][mapsToSourceFeatureId]);
yVals.Add(starMap.Features[key].GetCenter().YDouble + m_TrackedObjectsPivotDistancesY[i][mapsToSourceFeatureId]);
}
double x0 = xVals.Median();
double y0 = yVals.Median();
double sigmaX = Math.Sqrt(xVals.Select(x => (x - x0)*(x - x0)).Sum()) / (xVals.Count - 1);
double sigmaY = Math.Sqrt(yVals.Select(y => (y - y0)*(y - y0)).Sum()) / (yVals.Count - 1);
if (!double.IsNaN(x0) && !double.IsNaN(y0) && xVals.Count > 1 &&
(sigmaX > m_FWHMAverage || sigmaY > m_FWHMAverage))
{
// Some of the pivots may have been misidentified. Remove all entries with too large residuals and try again
xVals.RemoveAll(x => Math.Abs(x - x0) > sigmaX);
yVals.RemoveAll(y => Math.Abs(y - y0) > sigmaY);
if (xVals.Count > 1)
{
x0 = xVals.Median();
y0 = yVals.Median();
sigmaX = Math.Sqrt(xVals.Select(x => (x - x0) * (x - x0)).Sum()) / (xVals.Count - 1);
sigmaY = Math.Sqrt(yVals.Select(y => (y - y0) * (y - y0)).Sum()) / (yVals.Count - 1);
}
}
if (!double.IsNaN(x0) && !double.IsNaN(y0) && xVals.Count > 1 &&
(sigmaX > m_FWHMAverage || sigmaY > m_FWHMAverage))
{
// There is something really wrong about this. Reject the position and fail the frame
m_TrackedObjects[i].SetIsTracked(false, NotMeasuredReasons.FoundObjectNotWithInExpectedPositionTolerance, null, null);
}
else
{
PSFFit fit = new PSFFit((int)x0, (int)y0);
uint[,] data = ((AstroImage)astroImage).GetMeasurableAreaPixels((int)x0, (int)y0);
fit.Fit(data);
if (fit.IsSolved)
{
m_TrackedObjects[i].SetIsTracked(true, NotMeasuredReasons.TrackedSuccessfully, new ImagePixel(fit.XCenter, fit.YCenter), fit.Certainty);
((TrackedObject)m_TrackedObjects[i]).ThisFrameX = (float)fit.XCenter;
((TrackedObject)m_TrackedObjects[i]).ThisFrameY = (float)fit.YCenter;
((TrackedObjectBase)m_TrackedObjects[i]).PSFFit = fit;
identifiedObjects++;
}
else
{
m_TrackedObjects[i].SetIsTracked(false, NotMeasuredReasons.PSFFittingFailed, null, null);
}
}
}
m_IsTrackedSuccessfully = identifiedObjects == m_TrackedObjects.Count;
if (m_IsTrackedSuccessfully)
UpdatePivotDistances(starMap, pivotMap);
}
}
public bool InitializeNewTracking(IAstroImage astroImage)
{
m_StarMapConfig = new StarMapInternalConfig(StarMapInternalConfig.Default);
m_StarMapConfig.CustomMaxSignalValue = astroImage.GetPixelmapPixels().Max();
m_StarMapConfig.CustomOptimumStarsValue = 25;
m_StarMapConfig.IsFITSFile = true;
StarMap starMap = new StarMap();
starMap.FindBestMap(
m_StarMapConfig,
(AstroImage)astroImage,
Rectangle.Empty,
new Rectangle(0, 0, astroImage.Width, astroImage.Height),
AstrometryContext.Current.LimitByInclusion);
if (starMap.Features.Count < 10)
{
MessageBox.Show("Cannot initialize object tracking as less than 10 stars can be identified in the field");
return false;
}
// Build a signature of the largest 10 features (pivots)
m_PivotDistances.Clear();
for (int i = 0; i < 10; i++) m_PivotDistances.Add(new List<double>(UNINITIALIZED_DISTANCES));
double fwhmSum = 0;
int fwhmCount = 0;
starMap.Features.Sort((x, y) => y.PixelCount.CompareTo(x.PixelCount));
for (int i = 0; i < 10; i++)
{
var feature_i = starMap.Features[i];
for (int j = i + 1; j < 10; j++)
{
var feature_j = starMap.Features[j];
double distance = feature_j.GetCenter().DistanceTo(feature_i.GetCenter());
m_PivotDistances[i][j] = distance;
m_PivotDistances[j][i] = distance;
}
int x0 = feature_i.GetCenter().X;
int y0 = feature_i.GetCenter().Y;
PSFFit fit = new PSFFit((int) x0, (int) y0);
uint[,] data = ((AstroImage) astroImage).GetMeasurableAreaPixels((int) x0, (int) y0);
fit.Fit(data);
if (fit.IsSolved)
{
fwhmSum += fit.FWHM;
fwhmCount++;
}
}
m_FWHMAverage = (float)(fwhmSum / fwhmCount);
for (int i = 0; i < m_TrackedObjects.Count; i++)
{
m_TrackedObjectsPivotDistancesX[i] = new List<double>();
m_TrackedObjectsPivotDistancesY[i] = new List<double>();
for (int j = 0; j < 10; j++)
{
m_TrackedObjectsPivotDistancesX[i].Add(m_TrackedObjects[i].Center.XDouble - starMap.Features[j].GetCenter().XDouble);
m_TrackedObjectsPivotDistancesY[i].Add(m_TrackedObjects[i].Center.YDouble - starMap.Features[j].GetCenter().YDouble);
}
int x0 = m_TrackedObjects[i].Center.X;
int y0 = m_TrackedObjects[i].Center.Y;
PSFFit fit = new PSFFit((int)x0, (int)y0);
uint[,] data = ((AstroImage)astroImage).GetMeasurableAreaPixels((int)x0, (int)y0);
fit.Fit(data);
if (fit.IsSolved)
{
SetTargetFWHM(i, (float)fit.FWHM);
}
}
m_TargetPivotDistancesListX.Clear();
m_TargetPivotDistancesListY.Clear();
return true;
}
internal void SelectStar(PlateConstStarPair selectedPair, PSFFit psfFit)
{
if (selectedPair != null)
{
lblStarNo.Text = selectedPair.StarNo.ToString();
lblRA.Text = AstroConvert.ToStringValue(selectedPair.RADeg / 15.0, "HH MM SS.TT");
lblDE.Text = AstroConvert.ToStringValue(selectedPair.DEDeg, "+DD MM SS.T");
lblX.Text = selectedPair.x.ToString("0.00");
lblY.Text = selectedPair.y.ToString("0.00");
lblResRA.Text = string.Format("{0}\"", selectedPair.FitInfo.ResidualRAArcSec.ToString("0.00"));
lblResDE.Text = string.Format("{0}\"", selectedPair.FitInfo.ResidualDEArcSec.ToString("0.00"));
m_SelectedPSF = psfFit;
}
else
{
m_SelectedPSF = null;
}
pnlSelectedStar.Visible = selectedPair != null;
}
protected PSFFit GetBestFitGaussian(AstroImage astroImage, TrackedObject guidingStar)
{
// Try all fits from 5 to 15. Find the one with the highest peak, then do a fit around this area with the configured psf matrix size
uint[,] pixels = astroImage.GetMeasurableAreaPixels((int)guidingStar.LastFrameX, (int)guidingStar.LastFrameY);
PSFFit bestGaussian = null;
if (!guidingStar.OriginalObject.IsCloseToOtherStars)
{
// There is only one object in the area, just do a whide fit followed by a fit with the selected matrix size
PSFFit gaussian = new PSFFit((int) guidingStar.LastFrameX, (int) guidingStar.LastFrameY);
gaussian.Fit(pixels, pixels.GetLength(0));
if (gaussian.IsSolved)
{
bestGaussian = gaussian;
}
}
else
{
// There is more than one object in the area. We need a smarter way to find the one we need.
if (guidingStar.IsOccultedStar)
{
for (int matSize = 5; matSize < 15; matSize += 2)
{
PSFFit gaussian = new PSFFit((int) guidingStar.LastFrameX, (int) guidingStar.LastFrameY);
gaussian.Fit(pixels, matSize);
if (gaussian.IsSolved)
{
if (bestGaussian == null ||
bestGaussian.IMax < gaussian.IMax)
{
bestGaussian = gaussian;
}
}
}
}
else
{
PSFFit gaussian = new PSFFit((int) guidingStar.LastFrameX, (int) guidingStar.LastFrameY);
gaussian.Fit(pixels, guidingStar.PsfFitMatrixSize);
}
}
if (bestGaussian != null)
{
pixels = astroImage.GetMeasurableAreaPixels((int)bestGaussian.XCenter, (int)bestGaussian.YCenter);
bestGaussian = new PSFFit((int)bestGaussian.XCenter, (int)bestGaussian.YCenter);
bestGaussian.Fit(pixels, guidingStar.PsfFitMatrixSize);
}
return bestGaussian;
}
private void CheckAndCorrectGuidingStarPositions(IAstroImage astroImage, bool retryWithLPFilterIfSuspectObjects)
{
List<int> goodObjects = new List<int>();
List<int> suspectObjects = new List<int>();
for (int k = 0; k < 2; k++)
{
goodObjects.Clear();
suspectObjects.Clear();
if (LocateFirstObjects.Count == 1)
{
if (!LocateFirstObjects[0].IsLocated ||
float.IsNaN(LocateFirstObjects[0].ThisFrameX) ||
float.IsNaN(LocateFirstObjects[0].ThisFrameY))
{
suspectObjects.Add(LocateFirstObjects[0].TargetNo);
}
}
else
{
// See how many of the distances are okay
for (int i = 0; i < LocateFirstObjects.Count; i++)
{
TrackedObject obj1 = LocateFirstObjects[i];
for (int j = 0; j < LocateFirstObjects.Count; j++)
{
if (i == j) continue;
TrackedObject obj2 = LocateFirstObjects[j];
long pairId = (((long) obj1.TargetNo) << 32) + (long) obj2.TargetNo;
double expectedDistance = m_RefinedDistances[pairId];
double actualDistance =
ImagePixel.ComputeDistance(obj1.ThisFrameX, obj2.ThisFrameX, obj1.ThisFrameY,
obj2.ThisFrameY);
if (Math.Abs(expectedDistance - actualDistance) <= PositionTolerance)
{
goodObjects.Add(obj1.TargetNo);
goodObjects.Add(obj2.TargetNo);
}
else
{
suspectObjects.Add(obj1.TargetNo);
suspectObjects.Add(obj2.TargetNo);
}
}
}
}
if (k == 0 &&
suspectObjects.Count > 0 &&
retryWithLPFilterIfSuspectObjects)
{
// There are some suspect objects. Try to locate the guiding stars with a low pass filter
foreach (TrackedObject trackedObject in LocateFirstObjects)
LocateObjectAsGuidingStar(astroImage, trackedObject, true);
}
else
break;
}
if (suspectObjects.Count > 0)
{
if (goodObjects.Distinct().Count() == LocateFirstObjectsTargetIds.Count)
{
// There is at least one good distance involving each of the locate first objects
// This means the suspect distance it not too bad so we ignore and continue
}
else
{
if (goodObjects.Count == 0)
{
List<TrackedObject> okayObjects = LocateFirstObjects.FindAll(o => !o.IsOccultedStar && o.IsLocated);
if (okayObjects.Count == 0)
{
// If one of the objects is the occulted star (found) and non of the other guiding stars are found
// then make all objects not found and use the latest expected positions
foreach(TrackedObject obj in LocateFirstObjects)
{
obj.PSFFit = null;
obj.ThisFrameX = obj.LastFrameX;
obj.ThisFrameY = obj.LastFrameY;
obj.ThisFrameCertainty = (float)obj.LastKnownGoodPsfCertainty;
obj.SetIsLocated(false, NotMeasuredReasons.FitSuspectAsNoGuidingStarsAreLocated);
}
m_AllGuidingStarsFailed = true;
return;
}
// If no distances are okay consider the brightest located first object as the correctly identified one
// and then find the positions of the other ones based on the expected distances (and do another PSF fit in a smaller area)
okayObjects = LocateFirstObjects.FindAll(o => o.IsLocated);
okayObjects.Sort((o1, o2) => o1.LastSignalLevel.CompareTo(o2.LastSignalLevel));
TrackedObject brightestObject = okayObjects[0];
foreach (TrackedObject obj in LocateFirstObjects)
{
if (obj.TargetNo == brightestObject.TargetNo) continue;
LocationVector vec = brightestObject.OtherGuidingStarsLocationVectors[obj.TargetNo];
double expectedX = brightestObject.ThisFrameX + vec.DeltaXToAdd;
double expectedY = brightestObject.ThisFrameY + vec.DeltaYToAdd;
if (expectedX < RefinedAverageFWHM || expectedX > astroImage.Width - RefinedAverageFWHM ||
expectedY < RefinedAverageFWHM || expectedY > astroImage.Height - RefinedAverageFWHM)
{
// The expected position in Off Screen.
obj.PSFFit = null;
obj.ThisFrameX = float.NaN;
obj.ThisFrameY = float.NaN;
obj.ThisFrameCertainty = float.NaN;
obj.SetIsLocated(false, NotMeasuredReasons.ObjectExpectedPositionIsOffScreen);
continue;
}
uint[,] pixels = astroImage.GetPixelsArea((int)Math.Round(expectedX), (int)Math.Round(expectedY), 19);
pixels = EnhanceByteAreaForSearch(pixels);
PSFFit gaussian = new PSFFit((int)Math.Round(expectedX), (int)Math.Round(expectedY));
gaussian.Fit(pixels, obj.PsfFitMatrixSize);
if (gaussian.IsSolved)
{
double distance = ImagePixel.ComputeDistance(gaussian.XCenter, expectedX, gaussian.YCenter, expectedY);
if (distance <= 2 * PositionTolerance)
{
// Object successfully located
obj.PSFFit = gaussian;
obj.ThisFrameX = (float)gaussian.XCenter;
obj.ThisFrameY = (float)gaussian.YCenter;
obj.ThisFrameCertainty = (float)gaussian.Certainty;
obj.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfullyAfterDistanceCheck);
Trace.WriteLine(string.Format("Frame {0}: Successfully located object #{1} after a close look up {2}px from the expected position.", m_FrameNo, obj.TargetNo, distance.ToString("0.00")));
}
else
{
obj.PSFFit = null;
obj.ThisFrameX = (float)expectedX;
obj.ThisFrameY = (float)expectedY;
obj.ThisFrameCertainty = 0;
obj.SetIsLocated(false, NotMeasuredReasons.FailedToLocateAfterDistanceCheck);
Trace.WriteLine(string.Format("Frame {0}: Cannot locate object #{1}. A close look up found it {2}px from the expected position.", m_FrameNo, obj.TargetNo, distance.ToString("0.00")));
}
}
}
}
else
{
// Some objects are okay and some are not okay.
List<int> badObjectIds = suspectObjects.FindAll(o => goodObjects.IndexOf(o) == -1).Distinct().ToList();
List<int> goodObjectIds = goodObjects.Distinct().ToList();
foreach(int badObjectId in badObjectIds)
{
double expectedX = 0;
double expectedY = 0;
TrackedObject badObject = TrackedObjectsByTargetId[badObjectId];
foreach (int goodObjectId in goodObjectIds)
{
TrackedObject goodObject = TrackedObjectsByTargetId[goodObjectId];
LocationVector vec = goodObject.OtherGuidingStarsLocationVectors[badObjectId];
expectedX += (goodObject.ThisFrameX + vec.DeltaXToAdd);
expectedY += (goodObject.ThisFrameY + vec.DeltaYToAdd);
}
expectedX /= goodObjectIds.Count;
expectedY /= goodObjectIds.Count;
uint[,] pixels = astroImage.GetPixelsArea((int)Math.Round(expectedX), (int)Math.Round(expectedY), 19);
pixels = EnhanceByteAreaForSearch(pixels);
PSFFit gaussian = new PSFFit((int)Math.Round(expectedX), (int)Math.Round(expectedY));
gaussian.Fit(pixels, badObject.PsfFitMatrixSize);
if (gaussian.IsSolved)
{
double distance = ImagePixel.ComputeDistance(gaussian.XCenter, expectedX, gaussian.YCenter, expectedY);
if (distance <= 2 * PositionTolerance)
{
// Object successfully located
badObject.PSFFit = gaussian;
badObject.ThisFrameX = (float)gaussian.XCenter;
badObject.ThisFrameY = (float)gaussian.YCenter;
badObject.ThisFrameCertainty = (float)gaussian.Certainty;
badObject.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfullyAfterDistanceCheck);
Trace.WriteLine(string.Format("Frame {0}: Successfully located object #{1} after a close look up {2}px from the expected position.", m_FrameNo, badObjectId, distance.ToString("0.00")));
}
else
{
badObject.PSFFit = null;
badObject.ThisFrameX = (float)expectedX;
badObject.ThisFrameY = (float)expectedY;
badObject.ThisFrameCertainty = 0;
badObject.SetIsLocated(false, NotMeasuredReasons.FailedToLocateAfterDistanceCheck);
Trace.WriteLine(string.Format("Frame {0}: Cannot locate object #{1}. A close look up found it {2}px from the expected position.", m_FrameNo, badObjectId, distance.ToString("0.00")));
}
}
}
}
}
}
else if (
goodObjects.Count == 0 &&
LocateFirstObjects.Count == 1 &&
float.IsNaN(LocateFirstObjects[0].ThisFrameX))
{
// Single 'lost' guiding star or single object (occulted star only)
TrackedObject obj1 = LocateFirstObjects[0];
float bestFluctDiff = float.MaxValue;
int coeff = LightCurveReductionContext.Instance.WindOrShaking ? 3 : 1;
for (int i = 0; i < coeff * obj1.PsfFitMatrixSize; i++)
{
int searchRadius = obj1.PsfFitMatrixSize + i;
IImagePixel centroid = astroImage.GetCentroid(
(int) Math.Round(obj1.LastFrameX), (int) Math.Round(obj1.LastFrameY),
searchRadius, m_MedianValue);
if (centroid != null)
{
uint[,] pixels = astroImage.GetPixelsArea(centroid.X, centroid.Y, 19);
PSFFit gaussian = new PSFFit(centroid.X, centroid.Y);
gaussian.Fit(pixels, obj1.PsfFitMatrixSize);
if (gaussian.IsSolved)
{
double brightnessFluctoation = (obj1.RefinedOrLastSignalLevel - gaussian.IMax + gaussian.I0) / obj1.RefinedOrLastSignalLevel;
double fluckDiff = Math.Abs(brightnessFluctoation) / m_AllowedSignalFluctoation;
if (fluckDiff < 1 || LightCurveReductionContext.Instance.HighFlickeringOrLargeStars)
{
obj1.PSFFit = gaussian;
obj1.ThisFrameX = (float) gaussian.XCenter;
obj1.ThisFrameY = (float) gaussian.YCenter;
obj1.ThisSignalLevel = (float) (gaussian.IMax - gaussian.I0);
obj1.ThisFrameCertainty = (float)gaussian.Certainty;
obj1.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfullyAfterWiderAreaSearch);
Trace.WriteLine(
string.Format(
"Frame {0}: Successfully located object #{1} after a wider search in {2}px region.",
m_FrameNo, obj1.TargetNo, searchRadius));
break;
}
else
{
if (bestFluctDiff > fluckDiff)
bestFluctDiff = (float)fluckDiff;
}
}
}
}
if (!obj1.IsLocated)
{
obj1.PSFFit = null;
obj1.ThisFrameX = obj1.LastFrameX;
obj1.ThisFrameY = obj1.LastFrameY;
obj1.ThisSignalLevel = obj1.LastSignalLevel;
obj1.ThisFrameCertainty = (float) obj1.LastKnownGoodPsfCertainty;
obj1.SetIsLocated(false, NotMeasuredReasons.TrackedSuccessfullyAfterWiderAreaSearch);
Trace.WriteLine(string.Format("Frame {0}: Cannot locate object #{1} after a wider search in {2}px region. Best fluct diff: {3}",
m_FrameNo, obj1.TargetNo, obj1.PsfFitMatrixSize * 2, bestFluctDiff.ToString("0.00")));
}
}
}
private void frmRunMultiFrameSpectroscopy_Load(object sender, EventArgs e)
{
IImagePixel starCenter = m_VideoOperation.SelectedStar;
m_SpectraReader = new SpectraReader(m_AstroImage, m_VideoOperation.SelectedStarBestAngle, 1);
m_Spectra = m_SpectraReader.ReadSpectra((float)starCenter.XDouble, (float)starCenter.YDouble, (int)nudAreaWing.Value, (int)nudBackgroundWing.Value, (int)nudBackgroundGap.Value, PixelCombineMethod.Average);
m_Mapper = new RotationMapper(m_AstroImage.Width, m_AstroImage.Height, m_VideoOperation.SelectedStarBestAngle);
uint[,] pixels = m_AstroImage.GetMeasurableAreaPixels(starCenter.X, starCenter.Y, 35);
m_ZeroOrderPsf = new PSFFit(starCenter.X, starCenter.Y);
m_ZeroOrderPsf.Fit(pixels);
m_Spectra.ZeroOrderFWHM = (float)m_ZeroOrderPsf.FWHM;
PlotMeasurementAreas();
PlotAlignTarget();
nudDivisor.SetNUDValue((decimal)m_AstroImage.Pixelmap.MaxSignalValue);
nudMultiplier.Value = 1024;
}
private void LocateObjectAsGuidingStar(IAstroImage astroImage, TrackedObject trackedObject, bool useLowPassFilter)
{
trackedObject.SetIsLocated(false, NotMeasuredReasons.UnknownReason);
int bestMaxFixAreaSize = !float.IsNaN(trackedObject.OriginalObject.RefinedFWHM) ? (int)(6 * trackedObject.OriginalObject.RefinedFWHM) : 17;
if (bestMaxFixAreaSize > 17) bestMaxFixAreaSize = 35; // We only support FSP Fitting of 17 or 35 square matrixes
if (bestMaxFixAreaSize < 17) bestMaxFixAreaSize = 17;
// Try all fits from 5 to 15. Find the one with the highest peak, then do a fit around this area with the configured psf matrix size
uint[,] pixels;
if (useLowPassFilter)
{
pixels = astroImage.GetPixelsArea((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY, bestMaxFixAreaSize + 2);
pixels = EnhanceByteAreaForSearch(pixels);
}
else
{
pixels = astroImage.GetPixelsArea((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY, bestMaxFixAreaSize);
}
// There is only one object in the area, just do a wide fit followed by a fit with the selected matrix size
PSFFit gaussian = new PSFFit((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY);
gaussian.Fit(pixels, bestMaxFixAreaSize);
if (gaussian.Certainty < TangraConfig.Settings.Special.MinGuidingStarCertainty &&
(trackedObject.LastKnownGoodPsfCertainty > TangraConfig.Settings.Special.GoodGuidingStarCertainty || LightCurveReductionContext.Instance.HighFlickeringOrLargeStars))
{
// We have a problem. Try to find the star in the area using other means
IImagePixel centroid = astroImage.GetCentroid((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY, bestMaxFixAreaSize, m_MedianValue);
if (centroid != null)
{
double maxAllowedDistance = !float.IsNaN(trackedObject.OriginalObject.RefinedFWHM)
? 2 * trackedObject.OriginalObject.RefinedFWHM
: 3 * TangraConfig.Settings.Special.LostTrackingMinDistance;
if (LightCurveReductionContext.Instance.WindOrShaking) maxAllowedDistance *= 1.5;
if (centroid.DistanceTo(new ImagePixel((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY)) < maxAllowedDistance)
{
pixels = astroImage.GetPixelsArea(centroid.X, centroid.Y, bestMaxFixAreaSize);
gaussian = new PSFFit(centroid.X, centroid.Y);
gaussian.Fit(pixels, bestMaxFixAreaSize);
}
}
}
IImagePixel firstCenter =
gaussian.IsSolved
? new ImagePixel(gaussian.Brightness, (int)gaussian.XCenter, (int)gaussian.YCenter)
: astroImage.GetCentroid((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY, bestMaxFixAreaSize, m_MedianValue);
if (!gaussian.IsSolved || gaussian.Certainty < TangraConfig.Settings.Special.MinGuidingStarCertainty)
firstCenter = null;
if (firstCenter != null)
{
// Do a second fit
pixels = astroImage.GetPixelsArea(firstCenter.X, firstCenter.Y, bestMaxFixAreaSize);
int secondFitAreaSize = Math.Max(trackedObject.PsfFitMatrixSize, (int)Math.Round(gaussian.FWHM * 2.5));
if (secondFitAreaSize % 2 == 0) secondFitAreaSize++;
secondFitAreaSize = Math.Min(17, secondFitAreaSize);
gaussian = new PSFFit(firstCenter.X, firstCenter.Y);
gaussian.Fit(pixels, secondFitAreaSize);
if (gaussian.IsSolved)
{
double signal = gaussian.IMax - gaussian.I0; if (signal < 0) signal = 0;
double brightnessFluctoation = signal > trackedObject.RefinedOrLastSignalLevel
? signal / trackedObject.RefinedOrLastSignalLevel
: trackedObject.RefinedOrLastSignalLevel / signal;
//double brightnessFluctoation = (trackedObject.RefinedOrLastSignalLevel - gaussian.IMax + gaussian.I0) / trackedObject.RefinedOrLastSignalLevel;
double fluckDiff = Math.Abs(brightnessFluctoation)/m_AllowedSignalFluctoation;
//if (trackedObject.LastSignalLevel != 0 &&
// fluckDiff > 1 &&
// LightCurveReductionContext.Instance.WindOrShaking)
//{
// // If the located object is not similar brightness as expected, then search for our object in a wider area
// try
// {
// IImagePixel centroid = astroImage.GetCentroid((int)trackedObject.LastFrameX, (int)trackedObject.LastFrameY, 14, m_MedianValueStart);
// pixels = astroImage.GetPixelsArea(centroid.X, centroid.Y, 17);
// gaussian = new PSFFit(centroid.X, centroid.Y);
// gaussian.Fit(pixels, trackedObject.PsfFitMatrixSize);
// if (gaussian.IsSolved)
// {
// signal = gaussian.IMax - gaussian.I0; if (signal < 0) signal = 0;
// brightnessFluctoation = signal > trackedObject.RefinedOrLastSignalLevel
// ? signal / trackedObject.RefinedOrLastSignalLevel
// : trackedObject.RefinedOrLastSignalLevel / signal;
// //brightnessFluctoation = (trackedObject.RefinedOrLastSignalLevel - gaussian.IMax + gaussian.I0) / trackedObject.RefinedOrLastSignalLevel;
// fluckDiff = Math.Abs(brightnessFluctoation) / m_AllowedSignalFluctoation;
// }
// else
// {
// Trace.WriteLine(string.Format("Frame {0}: Cannot confirm target {1} [Guiding.WindOrShaking]. Cannot solve third PSF", m_FrameNo, trackedObject.TargetNo));
// }
// }
// catch { }
//}
if (!trackedObject.HasRefinedPositions || fluckDiff < 1 || LightCurveReductionContext.Instance.HighFlickeringOrLargeStars)
{
trackedObject.PSFFit = gaussian;
trackedObject.ThisFrameX = (float)gaussian.XCenter;
trackedObject.ThisFrameY = (float)gaussian.YCenter;
trackedObject.ThisSignalLevel = (float)(gaussian.IMax - gaussian.I0);
trackedObject.ThisFrameCertainty = (float) gaussian.Certainty;
trackedObject.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfully);
if (m_Refining)
{
trackedObject.RegisterRefinedPosition(trackedObject.Center, trackedObject.ThisSignalLevel, gaussian.FWHM);
}
}
else
{
if (useLowPassFilter)
{
// Only show the warning the second time around
Trace.WriteLine(
string.Format(
"Frame {0}: Guiding target #{1} is suspect because the brightness fluctuation is too big: {2}",
m_FrameNo, trackedObject.TargetNo, fluckDiff.ToString("0.00")));
trackedObject.SetIsLocated(false, NotMeasuredReasons.GuidingStarBrightnessFluctoationTooHigh);
}
}
}
else
{
Trace.WriteLine(string.Format("Frame {0}: Cannot confirm target {1} [Guiding]. Cannot solve second PSF", m_FrameNo, trackedObject.TargetNo));
trackedObject.SetIsLocated(false, NotMeasuredReasons.PSFFittingFailed);
}
}
else
{
Trace.WriteLine(string.Format("Frame {0}: Cannot confirm target {1} [Guiding]. Cannot solve first PSF", m_FrameNo, trackedObject.TargetNo));
trackedObject.SetIsLocated(false, NotMeasuredReasons.PSFFittingFailed);
}
if (!trackedObject.IsLocated)
{
// Could not locate the object this time
trackedObject.ThisSignalLevel = trackedObject.LastSignalLevel;
if (m_Refining)
{
// Use the last known coordinates for refining frames
trackedObject.ThisFrameX = trackedObject.LastFrameX;
trackedObject.ThisFrameY = trackedObject.LastFrameY;
trackedObject.ThisSignalLevel = trackedObject.LastSignalLevel;
trackedObject.ThisFrameCertainty = (float)trackedObject.LastKnownGoodPsfCertainty;
trackedObject.RegisterRefinedPosition(ImagePixel.Unspecified, float.NaN, double.NaN);
}
else
{
// Make the position invalid, which will cause the distance check for this object to fail
// which will trigger another fitting later on. Eventually the previous position may be still used
trackedObject.ThisFrameX = float.NaN;
trackedObject.ThisFrameY = float.NaN;
trackedObject.ThisFrameCertainty = float.NaN;
}
}
}
internal frmAddOrEditSingleTarget(int objectId, ImagePixel center, PSFFit gaussian, LCStateMachine state, VideoController videoController)
{
InitializeComponent();
m_VideoController = videoController;
m_AutocenteredApertureAvailable = true;
Text = "Add Object";
btnAdd.Text = "Add";
btnDontAdd.Text = "Don't Add";
btnDelete.Visible = false;
m_IsEdit = false;
nudFitMatrixSize.Value = 11;
nudFitMatrixSize.Maximum = 15;
m_ObjectId = objectId;
m_State = state;
m_AstroImage = m_State.VideoOperation.m_StackedAstroImage;
ObjectToAdd = new TrackedObjectConfig();
m_Center = new ImagePixel(center);
Initialize();
if (rbOccultedStar.Enabled)
SelectedObjectType = TrackingType.OccultedStar;
else
SelectedObjectType = TrackingType.GuidingStar;
// Apply filtering to the processing pixels according to the configured default filter value
int matirxSize = (int)nudFitMatrixSize.Value;
GetFitInMatrix(gaussian, ref matirxSize);
nudFitMatrixSize.Maximum = matirxSize;
if (SelectedObjectType != TrackingType.OccultedStar)
SetHeightAndType();
}
public static PSFFit GetPSFFitForPeakPixel(
uint[,] data,
PotentialStarStruct starToTest,
float aboveNoiseLevelRequired,
double minFWHM,
double maxFWHM)
{
int STAR_MATRIX_FIT = TangraConfig.Settings.Special.StarFinderFitArea;
double MIN_DISTANCE_OF_PEAK_PIXEL_FROM_CENTER = TangraConfig.Settings.Special.StarFinderMinDistanceOfPeakPixelFromCenter;
PSFFit fit = new PSFFit(starToTest.X, starToTest.Y);
int fitMatrix = (int)Math.Min(data.GetLength(0), STAR_MATRIX_FIT + 2);
// Get a matrix with 1 pixel larger each way and set the border pixels to zero
fit.Fit(data, fitMatrix, starToTest.X, starToTest.Y, true);
if (fit.IsSolved)
{
double distanceFromCenter = ImagePixel.ComputeDistance(fit.X0_Matrix, fitMatrix / 2, fit.Y0_Matrix, fitMatrix / 2);
if (fit.Certainty > 0 &&
fit.FWHM >= minFWHM &&
fit.FWHM <= maxFWHM &&
distanceFromCenter < MIN_DISTANCE_OF_PEAK_PIXEL_FROM_CENTER &&
fit.IMax > aboveNoiseLevelRequired)
{
//not good for lost tracking allow higher FWHM
// This object passes all tests to be furhter considered as a star
return fit;
}
}
return null;
}
private bool GetFitInMatrix(ITrackedObjectPsfFit gaussian, ref int matirxSize, float preselectedAperture)
{
rbGuidingStar.Text = "Guiding 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 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 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;
}
}
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);
}
internal frmAddOrEditSingleTarget(int objectId, TrackedObjectConfig selectedObject, LCStateMachine state, VideoController videoController)
{
InitializeComponent();
m_VideoController = videoController;
m_AutocenteredApertureAvailable = true;
Text = "Edit Object";
btnAdd.Text = "Save";
btnDontAdd.Text = "Cancel";
btnDelete.Visible = true;
m_IsEdit = true;
m_ObjectId = objectId;
m_State = state;
m_AstroImage = m_State.VideoOperation.m_StackedAstroImage;
ObjectToAdd = selectedObject;
if (selectedObject.TrackingType != TrackingType.ComparisonStar)
nudFitMatrixSize.SetNUDValue(selectedObject.PsfFitMatrixSize);
m_Center = new ImagePixel(
selectedObject.OriginalFieldCenterX,
selectedObject.OriginalFieldCenterY);
if (ObjectToAdd.PositionTolerance > 0)
nudPositionTolerance.SetNUDValue((decimal)ObjectToAdd.PositionTolerance);
Initialize();
if (!selectedObject.IsWeakSignalObject && !selectedObject.IsFixedAperture)
{
int matrixSize = selectedObject.PsfFitMatrixSize;
GetFitInMatrix(selectedObject.Gaussian, ref matrixSize, selectedObject.ApertureInPixels);
selectedObject.PsfFitMatrixSize = matrixSize;
}
else
{
m_ProcessingPixels = m_AstroImage.GetMeasurableAreaPixels(m_Center);
m_DisplayPixels = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(m_Center);
m_FWHM = 6;
m_Gaussian = null;
m_X0 = selectedObject.ApertureMatrixX0;
m_Y0 = selectedObject.ApertureMatrixY0;
dx = selectedObject.ApertureDX;
dy = selectedObject.ApertureDY;
PlotSingleTargetPixels();
nudAperture1.SetNUDValue((decimal) Math.Round(ObjectToAdd.ApertureInPixels, 2));
}
SetHeightAndType();
if (selectedObject.TrackingType == TrackingType.GuidingStar)
SelectedObjectType = TrackingType.GuidingStar;
else if (selectedObject.TrackingType == TrackingType.OccultedStar)
SelectedObjectType = TrackingType.OccultedStar;
}
public double GetIntencity(ImagePixel center, out bool isSaturated)
{
isSaturated = false;
uint[,] data = m_CurrentAstroImage.GetMeasurableAreaPixels(center.X, center.Y, 17);
PSFFit fit = new PSFFit(center.X, center.Y);
fit.Fit(data, PSF_FIT_AREA_SIZE);
if (!fit.IsSolved)
return double.NaN;
int areaSize = m_Filter == TangraConfig.PreProcessingFilter.NoFilter ? 17 : 19;
int centerX = (int)Math.Round(center.XDouble);
int centerY = (int)Math.Round(center.YDouble);
data = m_CurrentAstroImage.GetMeasurableAreaPixels(centerX, centerY, areaSize);
uint[,] backgroundPixels = m_CurrentAstroImage.GetMeasurableAreaPixels(centerX, centerY, 35);
m_Measurer.MeasureObject(
center,
data,
backgroundPixels,
m_CurrentAstroImage.Pixelmap.BitPixCamera,
m_Filter,
m_PhotometryReductionMethod,
m_PsfQuadrature,
m_PsfFittingMethod,
m_MeasurementAperture ?? (float)Aperture(fit.FWHM),
fit.FWHM,
(float)m_EmpericalFWHM,
new FakeIMeasuredObject(fit),
null, null,
false);
isSaturated = m_Measurer.HasSaturatedPixels;
return m_Measurer.TotalReading - m_Measurer.TotalBackground;
}
private void picTarget1Pixels_Click(object sender, EventArgs e)
{
if (newStar != null)
{
m_Gaussian = newStar;
m_X0 = (float)newStar.XCenter;
m_Y0 = (float)newStar.YCenter;
m_FWHM = (float)newStar.FWHM;
nudFitMatrixSize.ValueChanged -= nudFitMatrixSize_ValueChanged;
try
{
nudFitMatrixSize.SetNUDValue(newStar.MatrixSize);
}
finally
{
nudFitMatrixSize.ValueChanged += nudFitMatrixSize_ValueChanged;
}
PlotSingleTargetPixels();
PlotGaussian();
}
}
protected virtual void TrackSingleStar(int frameNo, IAstroImage astroImage)
{
OccultedStar.NewFrame();
m_NotCertain = false;
float expectedX;
float expectedY;
GetExpectedXY(out expectedX, out expectedY);
uint[,] pixels = astroImage.GetPixelsArea((int)expectedX, (int)expectedY, 17);
// There is only one object in the area, just do a wide fit followed by a fit with the selected matrix size
PSFFit gaussian = new PSFFit((int)expectedX, (int)expectedY);
gaussian.Fit(pixels, 17);
IImagePixel firstCenter =
gaussian.IsSolved
? new ImagePixel((int)gaussian.XCenter, (int)gaussian.YCenter)
: astroImage.GetCentroid((int)expectedX, (int)expectedY, 17, m_MedianValue);
if (firstCenter != null)
{
// Do a second fit
pixels = astroImage.GetPixelsArea(firstCenter.X, firstCenter.Y, 17);
gaussian = new PSFFit(firstCenter.X, firstCenter.Y);
gaussian.Fit(pixels, OccultedStar.PsfFitMatrixSize);
if (gaussian.IsSolved)
{
double signal = gaussian.IMax - gaussian.I0; if (signal < 0) signal = 0;
double brightnessFluctoation = signal > OccultedStar.RefinedOrLastSignalLevel
? signal / OccultedStar.RefinedOrLastSignalLevel
: OccultedStar.RefinedOrLastSignalLevel / signal;
//double brightnessFluctoation = (trackedObject.RefinedOrLastSignalLevel - gaussian.IMax + gaussian.I0) / trackedObject.RefinedOrLastSignalLevel;
double fluckDiff = Math.Abs(brightnessFluctoation) / m_AllowedSignalFluctoation;
if (fluckDiff < 1 || LightCurveReductionContext.Instance.HighFlickeringOrLargeStars)
{
OccultedStar.PSFFit = gaussian;
OccultedStar.ThisFrameX = (float)gaussian.XCenter;
OccultedStar.ThisFrameY = (float)gaussian.YCenter;
OccultedStar.ThisSignalLevel = (float)(gaussian.IMax - gaussian.I0);
OccultedStar.ThisFrameCertainty = (float)gaussian.Certainty;
OccultedStar.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfully);
}
else
{
m_NotCertain = true;
// This is the Occulted Star, so no brightness fluctoations can be used as excuses!
FitObjectInLimitedArea(OccultedStar, astroImage, expectedX, expectedY);
OccultedStar.SetIsLocated(
LightCurveReductionContext.Instance.FullDisappearance || OccultedStar.PSFFit != null,
LightCurveReductionContext.Instance.FullDisappearance || OccultedStar.PSFFit != null
? NotMeasuredReasons.TrackedSuccessfully
: NotMeasuredReasons.DistanceToleranceTooHighForNonFullDisappearingOccultedStar);
m_NotCertain = !OccultedStar.IsLocated;
}
}
else
{
OccultedStar.ThisFrameX = expectedX;
OccultedStar.ThisFrameY = expectedY;
OccultedStar.ThisFrameCertainty = (float)gaussian.Certainty;
Trace.WriteLine(string.Format("Frame {0}: Cannot confirm target {1} [SingleStar]. Cannot solve second PSF", m_FrameNo, OccultedStar.TargetNo));
OccultedStar.SetIsLocated(false, NotMeasuredReasons.PSFFittingFailed);
}
}
else
{
OccultedStar.ThisFrameX = expectedX;
OccultedStar.ThisFrameY = expectedY;
OccultedStar.ThisFrameCertainty = (float)gaussian.Certainty;
Trace.WriteLine(string.Format("Frame {0}: Cannot confirm target {1} [SingleStar]. Cannot solve first PSF", m_FrameNo, OccultedStar.TargetNo));
OccultedStar.SetIsLocated(false, NotMeasuredReasons.PSFFittingFailed);
}
}
private void picTarget1Pixels_MouseMove(object sender, MouseEventArgs e)
{
if (m_AutoStarsInArea != null &&
m_AutoStarsInArea.Count > 1)
{
float x = e.X / 7.0f;
float y = e.Y / 7.0f;
PSFFit star = m_AutoStarsInArea.Find(
s =>
{
return Math.Abs(s.XCenter - x + 0.5f) < 2.0f && Math.Abs(s.YCenter - y + 0.5) < 2.0f;
}
);
if (star != null &&
m_Gaussian.UniqueId != star.UniqueId)
{
newStar = star;
Cursor = Cursors.Hand;
}
else
Cursor = Cursors.Default;
}
}
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);
}
}
}
protected void FitObjectInLimitedArea(TrackedObject trackedObject, IAstroImage astroImage, float startingX, float startingY)
{
int smallestMatrixSize = (int)Math.Round(trackedObject.OriginalObject.ApertureInPixels * 2);
if (smallestMatrixSize % 2 == 0) smallestMatrixSize++;
// If this is not an aperture photometry we still derive a PSF
uint[,] pixels = astroImage.GetPixelsArea((int)Math.Round(startingX), (int)Math.Round(startingY), 17);
bool isFSPSolved = false;
bool isTooFar = true;
for (int i = Math.Max(trackedObject.PsfFitMatrixSize, smallestMatrixSize); i >= smallestMatrixSize; i -= 2)
{
int borderZeroes = (trackedObject.PsfFitMatrixSize - i) / 2;
for (int x = 0; x < pixels.GetLength(0); x++)
{
for (int y = 0; y < borderZeroes; y++)
{
pixels[x, y] = 0;
pixels[x, pixels.GetLength(1) - y - 1] = 0;
}
}
for (int y = 0; y < pixels.GetLength(1); y++)
{
for (int x = 0; x < borderZeroes; x++)
{
pixels[x, y] = 0;
pixels[pixels.GetLength(0) - x - 1, y] = 0;
}
}
PSFFit gaussian = new PSFFit((int)Math.Round(startingX), (int)Math.Round(startingY));
gaussian.Fit(pixels, trackedObject.PsfFitMatrixSize);
isFSPSolved = gaussian.IsSolved;
isTooFar = true;
if (gaussian.IsSolved)
{
trackedObject.ThisFrameCertainty = (float)gaussian.Certainty;
double dist = ImagePixel.ComputeDistance((float)gaussian.XCenter, (float)startingX, (float)gaussian.YCenter, (float)startingY);
if (dist <= PositionTolerance)
{
isTooFar = false;
trackedObject.PSFFit = gaussian;
trackedObject.ThisFrameX = (float)gaussian.XCenter;
trackedObject.ThisFrameY = (float)gaussian.YCenter;
trackedObject.ThisSignalLevel = (float)(gaussian.IMax - gaussian.I0);
trackedObject.ThisFrameCertainty = (float)gaussian.Certainty;
trackedObject.SetIsLocated(true, NotMeasuredReasons.TrackedSuccessfully);
return;
}
}
}
trackedObject.PSFFit = null;
trackedObject.ThisFrameX = startingX;
trackedObject.ThisFrameY = startingY;
trackedObject.SetIsLocated(false,
!isFSPSolved
? NotMeasuredReasons.PSFFittingFailed
: isTooFar
? NotMeasuredReasons.FoundObjectNotWithInExpectedPositionTolerance
: NotMeasuredReasons.UnknownReason);
}