/// <summary>
/// method to tally given two consecutive photon data points
/// </summary>
/// <param name="previousDP">previous data point</param>
/// <param name="dp">current data point</param>
/// <param name="currentRegionIndex">index of region photon current is in</param>
public void TallySingle(PhotonDataPoint previousDP, PhotonDataPoint dp, int currentRegionIndex)
{
var totalTime = dp.TotalTime;
var ix = DetectorBinning.WhichBin(dp.Position.X, X.Count - 1, X.Delta, X.Start);
var iy = DetectorBinning.WhichBin(dp.Position.Y, Y.Count - 1, Y.Delta, Y.Start);
var iz = DetectorBinning.WhichBin(dp.Position.Z, Z.Count - 1, Z.Delta, Z.Start);
var weight = _absorptionWeightingMethod(previousDP, dp, currentRegionIndex);
var regionIndex = currentRegionIndex;
if (weight != 0.0)
{
for (int iw = 0; iw < Omega.Count; iw++)
{
double freq = Omega.AsEnumerable().ToArray()[iw];
Mean[ix, iy, iz, iw] += (weight / _ops[regionIndex].Mua) *
(Math.Cos(-2 * Math.PI * freq * totalTime) +
Complex.ImaginaryOne * Math.Sin(-2 * Math.PI * freq * totalTime));
if (TallySecondMoment)
{
_tallyForOnePhoton[ix, iy, iz, iw] += (weight / _ops[regionIndex].Mua) *
(Math.Cos(-2 * Math.PI * freq * totalTime) +
Complex.ImaginaryOne * Math.Sin(-2 * Math.PI * freq * totalTime));
}
TallyCount++;
}
}
}
/// <summary>
/// method to tally to detector
/// </summary>
/// <param name="photon">photon data needed to tally</param>
public void Tally(Photon photon)
{
if (!IsWithinDetectorAperture(photon))
{
return;
}
var ir = DetectorBinning.WhichBin(DetectorBinning.GetRho(photon.DP.Position.X, photon.DP.Position.Y), Rho.Count - 1, Rho.Delta, Rho.Start);
var totalTime = photon.DP.TotalTime;
for (int iw = 0; iw < Omega.Count; iw++)
{
double freq = Omega.AsEnumerable().ToArray()[iw];
Mean[ir, iw] += photon.DP.Weight * (Math.Cos(-2 * Math.PI * freq * totalTime) +
Complex.ImaginaryOne * Math.Sin(-2 * Math.PI * freq * totalTime));
if (TallySecondMoment) // 2nd moment is E[xx*]=E[xreal^2]+E[ximag^2]
{
SecondMoment[ir, iw] +=
photon.DP.Weight * (Math.Cos(-2 * Math.PI * freq * totalTime)) *
photon.DP.Weight * (Math.Cos(-2 * Math.PI * freq * totalTime)) +
photon.DP.Weight * (Math.Sin(-2 * Math.PI * freq * totalTime)) *
photon.DP.Weight * (Math.Sin(-2 * Math.PI * freq * totalTime));
}
}
TallyCount++;
}
/// <summary>
/// method to tally given two consecutive photon data points
/// </summary>
/// <param name="previousDP">previous data point</param>
/// <param name="dp">current data point</param>
/// <param name="currentRegionIndex">index of region photon current is in</param>
public void TallySingle(PhotonDataPoint previousDP, PhotonDataPoint dp, int currentRegionIndex)
{
var totalTime = dp.TotalTime;
var ir = DetectorBinning.WhichBin(DetectorBinning.GetRho(dp.Position.X, dp.Position.Y), Rho.Count - 1, Rho.Delta, Rho.Start);
var iz = DetectorBinning.WhichBin(dp.Position.Z, Z.Count - 1, Z.Delta, Z.Start);
var weight = _absorptionWeightingMethod(previousDP, dp, currentRegionIndex);
// Note: GetVolumeAbsorptionWeightingMethod in Initialize method determines the *absorbed* weight
// so for fluence this weight is divided by Mua
var regionIndex = currentRegionIndex;
if (weight != 0.0)
{
for (int iw = 0; iw < Omega.Count; iw++)
{
double freq = Omega.AsEnumerable().ToArray()[iw];
Mean[ir, iz, iw] += (weight / _ops[regionIndex].Mua) *
(Math.Cos(-2 * Math.PI * freq * totalTime) +
Complex.ImaginaryOne * Math.Sin(-2 * Math.PI * freq * totalTime));
if (TallySecondMoment)
{
_tallyForOnePhoton[ir, iz, iw] += (weight / _ops[regionIndex].Mua) *
(Math.Cos(-2 * Math.PI * freq * totalTime) +
Complex.ImaginaryOne * Math.Sin(-2 * Math.PI * freq * totalTime));
}
}
TallyCount++;
}
}
public override void Pack(BinaryWriter writer)
{
writer.Write(ObjectID);
Velocity.Pack(writer);
Omega.Pack(writer);
writer.Write(ObjectInstanceSequence);
writer.Write(ObjectVectorSequence);
}
public override void Unpack(BinaryReader reader)
{
base.Unpack(reader);
ObjectID = reader.ReadUInt32();
Velocity.Unpack(reader);
Omega.Unpack(reader);
ObjectInstanceSequence = reader.ReadUInt16();
ObjectVectorSequence = reader.ReadUInt16();
}
public MaterialObjectNewtow() : base()
{
AddChild(Omega);
AddChild(Eps);
Omega.AddDiffVect(Eps, false);
AddDiffPropToParam(pQw, pdQWdt);
AddDiffPropToParam(pQx, pdQXdt);
AddDiffPropToParam(pQy, pdQYdt);
AddDiffPropToParam(pQz, pdQZdt);
}
public MaterialObjectNewton(object x, object y, object z, string name = DEFNAME) : base(x, y, z, name)
{
AddChild(Omega);
AddChild(Eps);
Omega.AddDiffVect(Eps, false);
AddDiffPropToParam(pQw, pdQWdt);
AddDiffPropToParam(pQx, pdQXdt);
AddDiffPropToParam(pQy, pdQYdt);
AddDiffPropToParam(pQz, pdQZdt);
}
public static void omega_test()
//****************************************************************************80
//
// Purpose:
//
// OMEGA_TEST tests OMEGA.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 02 June 2007
//
// Author:
//
// John Burkardt
//
{
int c = 0;
int n = 0;
Console.WriteLine("");
Console.WriteLine("OMEGA_TEST");
Console.WriteLine(" OMEGA computes the OMEGA function.");
Console.WriteLine("");
Console.WriteLine(" N Exact OMEGA(N)");
Console.WriteLine("");
int n_data = 0;
for (;;)
{
Burkardt.Values.Omega.omega_values(ref n_data, ref n, ref c);
if (n_data == 0)
{
break;
}
Console.WriteLine(" "
+ n.ToString().PadLeft(12) + " "
+ c.ToString().PadLeft(10) + " "
+ Omega.omega(n).ToString().PadLeft(10) + "");
}
}
public static void omega_values_test()
//****************************************************************************80
//
// Purpose:
//
// OMEGA_VALUES_TEST tests OMEGA_VALUES.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 09 February 2007
//
// Author:
//
// John Burkardt
//
{
int fn = 0;
int n = 0;
Console.WriteLine("");
Console.WriteLine("OMEGA_VALUES_TEST:");
Console.WriteLine(" OMEGA_VALUES returns values of");
Console.WriteLine(" the Omega function.");
Console.WriteLine("");
Console.WriteLine(" N OMEGA(N)");
Console.WriteLine("");
int n_data = 0;
for (;;)
{
Omega.omega_values(ref n_data, ref n, ref fn);
if (n_data == 0)
{
break;
}
Console.WriteLine(" "
+ n.ToString().PadLeft(12) + n + " "
+ fn.ToString().PadLeft(10) + fn + "");
}
}
public override int GetHashCode()
{
int hash = 1;
if (X != 0F)
{
hash ^= X.GetHashCode();
}
if (Y != 0F)
{
hash ^= Y.GetHashCode();
}
if (Vx != 0F)
{
hash ^= Vx.GetHashCode();
}
if (Vy != 0F)
{
hash ^= Vy.GetHashCode();
}
if (Rotation != 0F)
{
hash ^= Rotation.GetHashCode();
}
if (Omega != 0F)
{
hash ^= Omega.GetHashCode();
}
if (InitLife != 0F)
{
hash ^= InitLife.GetHashCode();
}
if (Life != 0F)
{
hash ^= Life.GetHashCode();
}
if (Scale != 0F)
{
hash ^= Scale.GetHashCode();
}
if (Alpha != 0F)
{
hash ^= Alpha.GetHashCode();
}
if (Mass != 0F)
{
hash ^= Mass.GetHashCode();
}
if (IsDead != false)
{
hash ^= IsDead.GetHashCode();
}
if (ColorR != 0F)
{
hash ^= ColorR.GetHashCode();
}
if (ColorG != 0F)
{
hash ^= ColorG.GetHashCode();
}
if (ColorB != 0F)
{
hash ^= ColorB.GetHashCode();
}
if (CurrentAnimationFrame != 0)
{
hash ^= CurrentAnimationFrame.GetHashCode();
}
return(hash);
}
public void Update <TMeasurements>(Vector <double> motion, TMeasurements measurements, double motionNoise, double measurementNoise) where TMeasurements : IEnumerable <LandmarkMeasurement>
{
// expand information matrix to accomodate new landmarks, if necessary
var maxIndex = measurements.Max(m => (int?)m.Index);
if (maxIndex != null)
{
var m = 2 * (1 + maxIndex.Value);
if (m >= Omega.RowCount)
{
var indices = Enumerable.Range(0, Omega.RowCount).ToArray();
Omega = Omega.Expand(m + 2, m + 2, indices);
Xi = Xi.Expand(m + 2, 1, indices, new[] { 0 });
}
}
var expandedSize = Omega.RowCount + 2;
var expandedIndices = new int[Omega.RowCount];
var reducedIndices = new int[Omega.RowCount];
for (int i = 0; i < expandedIndices.Length; i++)
{
if (i < 2)
{
expandedIndices[i] = i;
}
else
{
expandedIndices[i] = i + 2;
}
reducedIndices[i] = i + 2;
}
// expand omega and xi for motion
Omega = Omega.Expand(expandedSize, expandedSize, expandedIndices);
Xi = Xi.Expand(expandedSize, 1, expandedIndices, new[] { 0 });
// integrate the measurements
foreach (var measurement in measurements)
{
// m is the corrected index of the landmark
var m = 2 * (2 + measurement.Index);
// update information matrix based on the measurement
for (int i = 0; i < 2; i++)
{
Omega[i, i] += 1.0 / measurementNoise;
Omega[m + i, m + i] += 1.0 / measurementNoise;
Omega[i, m + i] += -1.0 / measurementNoise;
Omega[m + i, i] += -1.0 / measurementNoise;
Xi[i, 0] += -measurement.Measurement[i] / measurementNoise;
Xi[m + i, 0] += measurement.Measurement[i] / measurementNoise;
}
}
// update information matrix based on motion
for (int i = 0; i < 4; i++)
{
Omega[i, i] += 1.0 / motionNoise;
if (i < 2)
{
Omega[i, i + 2] += -1.0 / motionNoise;
Omega[i + 2, i] += -1.0 / motionNoise;
Xi[i, 0] += -motion[i] / motionNoise;
Xi[i + 2, 0] += motion[i] / motionNoise;
}
}
// reduce omega and xi
var omegaPrime = Omega.Take(reducedIndices);
var xiPrime = Xi.Take(reducedIndices, new[] { 0 });
var A = Omega.Take(new[] { 0, 2 }, reducedIndices);
var B = Omega.Take(new[] { 0, 2 });
var C = Xi.Take(new[] { 0, 2 }, new[] { 0 });
var AtBinv = A.TransposeThisAndMultiply(B.Inverse());
omegaPrime = omegaPrime - (AtBinv * A);
xiPrime = xiPrime - (AtBinv * C);
Omega = omegaPrime;
Xi = xiPrime;
}
public override string ToString()
{
return($"Omega/Phi/Psi: {Omega.In(Unit.Degree):F1}/{Phi.In(Unit.Degree):F1}/{Psi.In(Unit.Degree):F1}");
}