Package gov.llnl.gnem.apps.coda.calibration.service.impl.processing

Class CalibrationCurveFitter

java.lang.Object

gov.llnl.gnem.apps.coda.calibration.service.impl.processing.CalibrationCurveFitter

public class CalibrationCurveFitter
extends Object

Calculate the coda decay parameters (Mayeda, 2003)

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	CalibrationCurveFitter.GridFitter

Constructor Summary

Constructors

Constructor	Description
CalibrationCurveFitter()

Method Summary

Modifier and Type	Method	Description
Map<FrequencyBand,SharedFrequencyBandParameters>	fitAllBeta(Map<FrequencyBand,List<ShapeMeasurement>> betaDistancePairsFreqMap, Map<FrequencyBand,SharedFrequencyBandParameters> freqBandMap, ShapeFitterConstraints constraints)	Attempts to perform a non-linear optimization over a set of [Beta,Distance] values derived from betaDistancePairsFreqMap.
Map<FrequencyBand,SharedFrequencyBandParameters>	fitAllGamma(Map<FrequencyBand,List<ShapeMeasurement>> gammaDistancePairsFreqMap, Map<FrequencyBand,SharedFrequencyBandParameters> freqBandMap, ShapeFitterConstraints constraints)	Attempts to perform a non-linear optimization over a set of [Gamma,Distance] values derived from gammaDistancePairsFreqMap.
Map<FrequencyBand,SharedFrequencyBandParameters>	fitAllVelocity(Map<FrequencyBand,List<PeakVelocityMeasurement>> velocityDistancePairsFreqMap, Map<FrequencyBand,SharedFrequencyBandParameters> freqBandMap, ShapeFitterConstraints constraints)	Attempts to perform a non-linear optimization over a set of [Velocity,Distance] values derived from velocityDistancePairsFreqMap.
EnvelopeFit	fitCodaCMAES(float[] segment, double sampleRate, ShapeFitterConstraints constraints, double startTime)
EnvelopeFit	fitCodaCMAES(float[] segment, double sampleRate, ShapeFitterConstraints constraints, double startTime, boolean autoPickingEnabled)
EnvelopeFit	fitCurveLengthByDivergenceFromSynthetic(ShapeMeasurement measurement, SyntheticCoda synthetic, double endPickTime, ShapeFitterConstraints constraints, double minLengthTime)
double[]	gridSearchCodaB(List<Map.Entry<Double,Double>> betaDistancePairs, ShapeFitterConstraints constraints)
double[]	gridSearchCodaBApacheCMAES(List<Map.Entry<Double,Double>> betaDistancePairs, ShapeFitterConstraints constraints)
double[]	gridSearchCodaG(List<Map.Entry<Double,Double>> gammaDistancePairs, ShapeFitterConstraints constraints)
double[]	gridSearchCodaGApacheCMAES(List<Map.Entry<Double,Double>> gammaDistancePairs, ShapeFitterConstraints constraints)
double[]	gridSearchCodaV(List<Map.Entry<Double,Double>> velocityDistancePairs, ShapeFitterConstraints constraints)
double[]	gridSearchCodaVApacheCMAES(List<Map.Entry<Double,Double>> velocityDistancePairs, ShapeFitterConstraints constraints)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

CalibrationCurveFitter

public CalibrationCurveFitter()

Method Details

fitCurveLengthByDivergenceFromSynthetic

public EnvelopeFit fitCurveLengthByDivergenceFromSynthetic(ShapeMeasurement measurement,
 SyntheticCoda synthetic,
 double endPickTime,
 ShapeFitterConstraints constraints,
 double minLengthTime)

fitCodaCMAES

public EnvelopeFit fitCodaCMAES(float[] segment,
 double sampleRate,
 ShapeFitterConstraints constraints,
 double startTime)

fitCodaCMAES

public EnvelopeFit fitCodaCMAES(float[] segment,
 double sampleRate,
 ShapeFitterConstraints constraints,
 double startTime,
 boolean autoPickingEnabled)

gridSearchCodaVApacheCMAES

public double[] gridSearchCodaVApacheCMAES(List<Map.Entry<Double,Double>> velocityDistancePairs,
 ShapeFitterConstraints constraints)

gridSearchCodaBApacheCMAES

public double[] gridSearchCodaBApacheCMAES(List<Map.Entry<Double,Double>> betaDistancePairs,
 ShapeFitterConstraints constraints)

gridSearchCodaGApacheCMAES

public double[] gridSearchCodaGApacheCMAES(List<Map.Entry<Double,Double>> gammaDistancePairs,
 ShapeFitterConstraints constraints)

gridSearchCodaV

public double[] gridSearchCodaV(List<Map.Entry<Double,Double>> velocityDistancePairs,
 ShapeFitterConstraints constraints)

gridSearchCodaB

public double[] gridSearchCodaB(List<Map.Entry<Double,Double>> betaDistancePairs,
 ShapeFitterConstraints constraints)

gridSearchCodaG

public double[] gridSearchCodaG(List<Map.Entry<Double,Double>> gammaDistancePairs,
 ShapeFitterConstraints constraints)

fitAllVelocity

public Map<FrequencyBand,SharedFrequencyBandParameters> fitAllVelocity(Map<FrequencyBand,List<PeakVelocityMeasurement>> velocityDistancePairsFreqMap,
 Map<FrequencyBand,SharedFrequencyBandParameters> freqBandMap,
 ShapeFitterConstraints constraints)

Attempts to perform a non-linear optimization over a set of [Velocity,Distance] values derived from velocityDistancePairsFreqMap. This method will skip over input Frequency Bands that have no matching entry in freqBandMap as the output Velocity0-2 values are updated in place on the SharedFrequencyBandParameters object.

Parameters:

velocityDistancePairsFreqMap -

freqBandMap -

Returns:

Map<FrequencyBand, SharedFrequencyBandParameters> with updated Velocity 0-2 values given the best available model fit for the input velocityDistancePairsFreqMap

fitAllBeta

public Map<FrequencyBand,SharedFrequencyBandParameters> fitAllBeta(Map<FrequencyBand,List<ShapeMeasurement>> betaDistancePairsFreqMap,
 Map<FrequencyBand,SharedFrequencyBandParameters> freqBandMap,
 ShapeFitterConstraints constraints)

Attempts to perform a non-linear optimization over a set of [Beta,Distance] values derived from betaDistancePairsFreqMap. This method will skip over input Frequency Bands that have no matching entry in freqBandMap as the output Beta0-2 values are updated in place on the SharedFrequencyBandParameters object.

Parameters:

betaDistancePairsFreqMap -

freqBandMap -

Returns:

Map<FrequencyBand, SharedFrequencyBandParameters> with updated Beta 0-2 values given the best available model fit for the input betaDistancePairsFreqMap

fitAllGamma

public Map<FrequencyBand,SharedFrequencyBandParameters> fitAllGamma(Map<FrequencyBand,List<ShapeMeasurement>> gammaDistancePairsFreqMap,
 Map<FrequencyBand,SharedFrequencyBandParameters> freqBandMap,
 ShapeFitterConstraints constraints)

Attempts to perform a non-linear optimization over a set of [Gamma,Distance] values derived from gammaDistancePairsFreqMap. This method will skip over input Frequency Bands that have no matching entry in freqBandMap as the output Gamma0-2 values are updated in place on the SharedFrequencyBandParameters object.

Parameters:

gammaDistancePairsFreqMap -

freqBandMap -

Returns:

Map<FrequencyBand, SharedFrequencyBandParameters> with updated Gamma 0-2 values given the best available model fit for the input gammaDistancePairsFreqMap