public static void StartLMCReconstruction()
{
var folder = Path.Combine(P9_DATA_FOLDER, "large/fits/meerkat_tiny/");
var data = MeasurementData.LoadLMC(folder);
int gridSize = 3072;
int subgridsize = 32;
int kernelSize = 16;
int max_nr_timesteps = 1024;
double cellSize = 1.5 / 3600.0 * Math.PI / 180.0;
int wLayerCount = 24;
var maxW = 0.0;
for (int i = 0; i < data.UVW.GetLength(0); i++)
{
for (int j = 0; j < data.UVW.GetLength(1); j++)
{
maxW = Math.Max(maxW, Math.Abs(data.UVW[i, j, 2]));
}
}
maxW = Partitioner.MetersToLambda(maxW, data.Frequencies[data.Frequencies.Length - 1]);
double wStep = maxW / (wLayerCount);
var griddingConstants = new GriddingConstants(data.VisibilitiesCount, gridSize, subgridsize, kernelSize, max_nr_timesteps, (float)cellSize, wLayerCount, wStep);
var obsName = "LMC";
var lambda = 1.0f;
var alpha = 0.01f;
var epsilon = 1e-5f;
var maxMajorCycles = 5;
MajorCycle.ReconstructSerialCD(obsName, data, griddingConstants, true, 16, maxMajorCycles, lambda, alpha, 30000, epsilon);
MajorCycle.ReconstructPCDM(obsName, data, griddingConstants, 32, maxMajorCycles, 3, lambda, alpha, 30, epsilon);
}
public static void StartSimulatedReconstruction()
{
var folder = Path.Combine(P9_DATA_FOLDER, "small/fits/simulation_point/");
var data = MeasurementData.LoadSimulatedPoints(folder);
int gridSize = 256;
int subgridsize = 8;
int kernelSize = 4;
int max_nr_timesteps = 1024;
double cellSize = 1.0 / 3600.0 * Math.PI / 180.0;
var griddingConstants = new GriddingConstants(data.VisibilitiesCount, gridSize, subgridsize, kernelSize, max_nr_timesteps, (float)cellSize, 1, 0.0f);
var obsName = "simulated";
var lambda = 0.5f;
var alpha = 0.2f;
var epsilon = 1e-5f;
var maxMajorCycles = 5;
MajorCycle.ReconstructSerialCD(obsName, data, griddingConstants, true, 1, maxMajorCycles, lambda, alpha, 5000, epsilon);
MajorCycle.ReconstructPCDM(obsName, data, griddingConstants, 1, maxMajorCycles, 1, lambda, alpha, 30, epsilon);
}
