private void ExecuteWithRealData()
{
ILightCurveDataProvider dataProvider = m_TangraHost.GetLightCurveDataProvider();
if (dataProvider != null)
{
if (dataProvider.NumberOfMeasuredComparisonObjects == 0)
{
ShowErrorMessage("At least one comparison object is required to determine the target eclipsing binary minimum.");
return;
}
ISingleMeasurement[] measurements = dataProvider.GetTargetMeasurements();
bool hasReliableTimeBase = dataProvider.HasReliableTimeBase;
double[] frameIds = measurements.Select(x => (double)x.CurrFrameNo).ToArray();
double[] dataWithBg;
double[] dataBg;
var frm = new frmConfigureRun();
frm.DataProvider = dataProvider;
frm.NumStars = dataProvider.NumberOfMeasuredComparisonObjects + 1;
frm.FromFrameNo = dataProvider.MinFrameNumber;
frm.ToFrameNo = dataProvider.MaxFrameNumber;
frm.TargetData = dataProvider.GetTargetMeasurements();
if (frm.ShowDialog(m_TangraHost.ParentWindow) == DialogResult.Cancel)
return;
bool useCurveFitting = frm.RunCurveFitting;
bool useFineGrainedBins = frm.UseFineGrainedBins;
if (frm.VariableStarIndex == 0)
{
dataWithBg = measurements.Select(x => x.IsSuccessful ? (double)(x.Measurement + x.Background) : double.NaN).ToArray();
dataBg = measurements.Select(x => x.IsSuccessful ? (double)x.Background : double.NaN).ToArray();
}
else
{
ISingleMeasurement[] altMeasurements = dataProvider.GetComparisonObjectMeasurements(frm.VariableStarIndex - 1);
dataWithBg = altMeasurements.Select(x => x.IsSuccessful ? (double)(x.Measurement + x.Background) : double.NaN).ToArray();
dataBg = altMeasurements.Select(x => x.IsSuccessful ? (double)x.Background : double.NaN).ToArray();
}
List<DateTime> timestamps = measurements.Select(x => x.Timestamp).ToList();
hasReliableTimeBase = hasReliableTimeBase &&
timestamps[0].Date != DateTime.MinValue &&
timestamps[measurements.Length - 1].Date != DateTime.MinValue &&
timestamps[0].Date.Ticks < timestamps[measurements.Length - 1].Ticks;
int numAvailableTimestamps = timestamps.Count(x => x != DateTime.MinValue && x != DateTime.MaxValue);
if (numAvailableTimestamps < 2)
{
MessageBox.Show(
m_TangraHost.ParentWindow,
"This light curve does not seem to have timestamps saved and cannot be processed.",
"Eclipsing Binaries Addin for Tangra",
MessageBoxButtons.OK,
MessageBoxIcon.Error);
return;
}
if (!hasReliableTimeBase)
{
if (MessageBox.Show(
m_TangraHost.ParentWindow,
"This light curve may not have a reliable time base. Do you want to continue?",
"Eclipsing Binaries Addin for Tangra",
MessageBoxButtons.YesNo,
MessageBoxIcon.Warning) == DialogResult.No)
{
return;
}
}
// Fill in missing timestamps when times are entered manually
if (!dataProvider.HasEmbeddedTimeStamps)
{
int idx = 0;
for (; idx < timestamps.Count / 2 && timestamps[idx] == DateTime.MinValue; idx++);
int firstTimeStampIndex = idx;
DateTime firstTimeStamp = timestamps[idx];
idx = timestamps.Count - 1;
for (; idx > timestamps.Count / 2 && timestamps[idx] == DateTime.MinValue; idx--) ;
int lastTimeStampIndex = idx;
DateTime lastTimeStamp = timestamps[idx];
long ticksPerFrame = (lastTimeStamp.Ticks - firstTimeStamp.Ticks) / (lastTimeStampIndex - firstTimeStampIndex);
for (int i = 0; i < timestamps.Count; i++)
timestamps[i] = firstTimeStamp.AddTicks(ticksPerFrame * (i - firstTimeStampIndex));
}
double[] secondsFromUTMidnight = new double[timestamps.Count];
long startFrameStartDayTicks = timestamps[0].Date.Ticks;
for (int i = 0; i < timestamps.Count; i++)
{
if (timestamps[i] != DateTime.MinValue)
secondsFromUTMidnight[i] = Math.Truncate(new TimeSpan(timestamps[i].Ticks - startFrameStartDayTicks).TotalSeconds * 10000) / 10000.0;
else
secondsFromUTMidnight[i] = 0;
}
// Now go and get the comparison star data
if (dataProvider.NumberOfMeasuredComparisonObjects > 0)
{
ISingleMeasurement[] compMeasurements = frm.ComparisonStarIndex == 0 ? dataProvider.GetTargetMeasurements() : dataProvider.GetComparisonObjectMeasurements(frm.ComparisonStarIndex - 1);
if (compMeasurements != null)
{
double[] compDataWithBg;
double[] compBg;
if (frm.UseNormalisation)
{
compDataWithBg = compMeasurements.Select(x => x.IsSuccessful ? (double)(x.Measurement + x.Background) : double.NaN).ToArray();
compBg = compMeasurements.Select(x => x.IsSuccessful ? (double)x.Background : double.NaN).ToArray();
}
else
{
double compDataWithBgAverage = compMeasurements.Average(x => x.IsSuccessful ? x.Measurement + x.Background : double.NaN);
double compBgAverage = compMeasurements.Average(x => x.IsSuccessful ? x.Background : double.NaN);
compDataWithBg = compMeasurements.Select(x => compDataWithBgAverage).ToArray();
compBg = compMeasurements.Select(x => compBgAverage).ToArray();
}
double jdAtUtcMidnight = DateUtcToJulian(new DateTime(startFrameStartDayTicks));
KweeVanWoerdenResult result;
PolynomialFitResult polyResult;
var times = new List<double>();
var dataWithBgLst = new List<double>();
var dataBgLst = new List<double>();
var compDataWithBgLst = new List<double>();
var compBgLst = new List<double>();
if (frm.IncludeDataFrom > 0 || frm.IncludeDataTo < dataWithBg.Length - 1)
{
double[] timesAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] dataWithBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] dataBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] compDataWithBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] compBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
for (int i = frm.IncludeDataFrom; i < frm.IncludeDataTo; i++)
{
timesAlt[i - frm.IncludeDataFrom] = secondsFromUTMidnight[i];
dataWithBgAlt[i - frm.IncludeDataFrom] = dataWithBg[i];
dataBgAlt[i - frm.IncludeDataFrom] = dataBg[i];
compDataWithBgAlt[i - frm.IncludeDataFrom] = compDataWithBg[i];
compBgAlt[i - frm.IncludeDataFrom] = compBg[i];
}
times.AddRange(timesAlt);
dataWithBgLst.AddRange(dataWithBgAlt);
dataBgLst.AddRange(dataBgAlt);
compDataWithBgLst.AddRange(compDataWithBgAlt);
compBgLst.AddRange(compBgAlt);
RemoveInvalidMeasurements(times, dataWithBgLst, dataBgLst, compDataWithBgLst, compBgLst);
}
else
{
times.AddRange(secondsFromUTMidnight);
dataWithBgLst.AddRange(dataWithBg);
dataBgLst.AddRange(dataBg);
compDataWithBgLst.AddRange(compDataWithBg);
compBgLst.AddRange(compBg);
RemoveInvalidMeasurements(times, dataWithBgLst, dataBgLst, compDataWithBgLst, compBgLst);
}
result = Kwee_van_Woerden(times.Count, jdAtUtcMidnight, times.ToArray(), dataWithBgLst.ToArray(), dataBgLst.ToArray(), compDataWithBgLst.ToArray(), compBgLst.ToArray(), useFineGrainedBins);
polyResult = useCurveFitting
? PolynomialFit(times.Count, jdAtUtcMidnight, times.ToArray(), dataWithBgLst.ToArray(), dataBgLst.ToArray(), compDataWithBgLst.ToArray(), compBgLst.ToArray(), (int)result.Start_Light_Curve_Obs_Index, (int)result.Stop_Light_Curve_Obs_Index, result.Time_Of_Minimum)
: null;
PresentResults(frm.VariableStarIndex, result, polyResult);
}
}
}
}
private void ExecuteWithRealData()
{
ILightCurveDataProvider dataProvider = m_TangraHost.GetLightCurveDataProvider();
if (dataProvider != null)
{
if (dataProvider.NumberOfMeasuredComparisonObjects == 0)
{
ShowErrorMessage("At least one comparison object is required to determine the target eclipsing binary minimum.");
return;
}
ISingleMeasurement[] measurements = dataProvider.GetTargetMeasurements();
bool hasReliableTimeBase = dataProvider.HasReliableTimeBase;
double[] frameIds = measurements.Select(x => (double)x.CurrFrameNo).ToArray();
double[] dataWithBg;
double[] dataBg;
var frm = new frmConfigureRun();
frm.DataProvider = dataProvider;
frm.NumStars = dataProvider.NumberOfMeasuredComparisonObjects + 1;
frm.FromFrameNo = dataProvider.MinFrameNumber;
frm.ToFrameNo = dataProvider.MaxFrameNumber;
frm.TargetData = dataProvider.GetTargetMeasurements();
if (frm.ShowDialog(m_TangraHost.ParentWindow) == DialogResult.Cancel)
{
return;
}
bool useCurveFitting = frm.RunCurveFitting;
bool useFineGrainedBins = frm.UseFineGrainedBins;
if (frm.VariableStarIndex == 0)
{
dataWithBg = measurements.Select(x => x.IsSuccessful ? (double)(x.Measurement + x.Background) : double.NaN).ToArray();
dataBg = measurements.Select(x => x.IsSuccessful ? (double)x.Background : double.NaN).ToArray();
}
else
{
ISingleMeasurement[] altMeasurements = dataProvider.GetComparisonObjectMeasurements(frm.VariableStarIndex - 1);
dataWithBg = altMeasurements.Select(x => x.IsSuccessful ? (double)(x.Measurement + x.Background) : double.NaN).ToArray();
dataBg = altMeasurements.Select(x => x.IsSuccessful ? (double)x.Background : double.NaN).ToArray();
}
List <DateTime> timestamps = measurements.Select(x => x.Timestamp).ToList();
hasReliableTimeBase = hasReliableTimeBase &&
timestamps[0].Date != DateTime.MinValue &&
timestamps[measurements.Length - 1].Date != DateTime.MinValue &&
timestamps[0].Date.Ticks < timestamps[measurements.Length - 1].Ticks;
int numAvailableTimestamps = timestamps.Count(x => x != DateTime.MinValue && x != DateTime.MaxValue);
if (numAvailableTimestamps < 2)
{
MessageBox.Show(
m_TangraHost.ParentWindow,
"This light curve does not seem to have timestamps saved and cannot be processed.",
"Eclipsing Binaries Addin for Tangra",
MessageBoxButtons.OK,
MessageBoxIcon.Error);
return;
}
if (!hasReliableTimeBase)
{
if (MessageBox.Show(
m_TangraHost.ParentWindow,
"This light curve may not have a reliable time base. Do you want to continue?",
"Eclipsing Binaries Addin for Tangra",
MessageBoxButtons.YesNo,
MessageBoxIcon.Warning) == DialogResult.No)
{
return;
}
}
// Fill in missing timestamps when times are entered manually
if (!dataProvider.HasEmbeddedTimeStamps)
{
int idx = 0;
for (; idx < timestamps.Count / 2 && timestamps[idx] == DateTime.MinValue; idx++)
{
;
}
int firstTimeStampIndex = idx;
DateTime firstTimeStamp = timestamps[idx];
idx = timestamps.Count - 1;
for (; idx > timestamps.Count / 2 && timestamps[idx] == DateTime.MinValue; idx--)
{
;
}
int lastTimeStampIndex = idx;
DateTime lastTimeStamp = timestamps[idx];
long ticksPerFrame = (lastTimeStamp.Ticks - firstTimeStamp.Ticks) / (lastTimeStampIndex - firstTimeStampIndex);
for (int i = 0; i < timestamps.Count; i++)
{
timestamps[i] = firstTimeStamp.AddTicks(ticksPerFrame * (i - firstTimeStampIndex));
}
}
double[] secondsFromUTMidnight = new double[timestamps.Count];
long startFrameStartDayTicks = timestamps[0].Date.Ticks;
for (int i = 0; i < timestamps.Count; i++)
{
if (timestamps[i] != DateTime.MinValue)
{
secondsFromUTMidnight[i] = Math.Truncate(new TimeSpan(timestamps[i].Ticks - startFrameStartDayTicks).TotalSeconds * 10000) / 10000.0;
}
else
{
secondsFromUTMidnight[i] = 0;
}
}
// Now go and get the comparison star data
if (dataProvider.NumberOfMeasuredComparisonObjects > 0)
{
ISingleMeasurement[] compMeasurements = frm.ComparisonStarIndex == 0 ? dataProvider.GetTargetMeasurements() : dataProvider.GetComparisonObjectMeasurements(frm.ComparisonStarIndex - 1);
if (compMeasurements != null)
{
double[] compDataWithBg;
double[] compBg;
if (frm.UseNormalisation)
{
compDataWithBg = compMeasurements.Select(x => x.IsSuccessful ? (double)(x.Measurement + x.Background) : double.NaN).ToArray();
compBg = compMeasurements.Select(x => x.IsSuccessful ? (double)x.Background : double.NaN).ToArray();
}
else
{
double compDataWithBgAverage = compMeasurements.Average(x => x.IsSuccessful ? x.Measurement + x.Background : double.NaN);
double compBgAverage = compMeasurements.Average(x => x.IsSuccessful ? x.Background : double.NaN);
compDataWithBg = compMeasurements.Select(x => compDataWithBgAverage).ToArray();
compBg = compMeasurements.Select(x => compBgAverage).ToArray();
}
double jdAtUtcMidnight = DateUtcToJulian(new DateTime(startFrameStartDayTicks));
KweeVanWoerdenResult result;
PolynomialFitResult polyResult;
var times = new List <double>();
var dataWithBgLst = new List <double>();
var dataBgLst = new List <double>();
var compDataWithBgLst = new List <double>();
var compBgLst = new List <double>();
if (frm.IncludeDataFrom > 0 || frm.IncludeDataTo < dataWithBg.Length - 1)
{
double[] timesAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] dataWithBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] dataBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] compDataWithBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
double[] compBgAlt = new double[frm.IncludeDataTo - frm.IncludeDataFrom];
for (int i = frm.IncludeDataFrom; i < frm.IncludeDataTo; i++)
{
timesAlt[i - frm.IncludeDataFrom] = secondsFromUTMidnight[i];
dataWithBgAlt[i - frm.IncludeDataFrom] = dataWithBg[i];
dataBgAlt[i - frm.IncludeDataFrom] = dataBg[i];
compDataWithBgAlt[i - frm.IncludeDataFrom] = compDataWithBg[i];
compBgAlt[i - frm.IncludeDataFrom] = compBg[i];
}
times.AddRange(timesAlt);
dataWithBgLst.AddRange(dataWithBgAlt);
dataBgLst.AddRange(dataBgAlt);
compDataWithBgLst.AddRange(compDataWithBgAlt);
compBgLst.AddRange(compBgAlt);
RemoveInvalidMeasurements(times, dataWithBgLst, dataBgLst, compDataWithBgLst, compBgLst);
}
else
{
times.AddRange(secondsFromUTMidnight);
dataWithBgLst.AddRange(dataWithBg);
dataBgLst.AddRange(dataBg);
compDataWithBgLst.AddRange(compDataWithBg);
compBgLst.AddRange(compBg);
RemoveInvalidMeasurements(times, dataWithBgLst, dataBgLst, compDataWithBgLst, compBgLst);
}
result = Kwee_van_Woerden(times.Count, jdAtUtcMidnight, times.ToArray(), dataWithBgLst.ToArray(), dataBgLst.ToArray(), compDataWithBgLst.ToArray(), compBgLst.ToArray(), useFineGrainedBins);
polyResult = useCurveFitting
? PolynomialFit(times.Count, jdAtUtcMidnight, times.ToArray(), dataWithBgLst.ToArray(), dataBgLst.ToArray(), compDataWithBgLst.ToArray(), compBgLst.ToArray(), (int)result.Start_Light_Curve_Obs_Index, (int)result.Stop_Light_Curve_Obs_Index, result.Time_Of_Minimum)
: null;
PresentResults(frm.VariableStarIndex, result, polyResult);
}
}
}
}
