package gdsc.smlm.function.gaussian;
/*-----------------------------------------------------------------------------
* GDSC SMLM Software
*
* Copyright (C) 2017 Alex Herbert
* Genome Damage and Stability Centre
* University of Sussex, UK
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*---------------------------------------------------------------------------*/
/**
* Implements a astigmatism model of a 2D Gaussian function, where z-depth determines the x and y width.
*/
public interface AstimatismZModel extends Cloneable
{
/**
* Gets the standard deviation in dimension x for the given z-depth.
*
* @param z
* the z
* @return
* the standard deviation in dimension x
*/
public double getSx(double z);
/**
* Gets the standard deviation and partial derivatives in dimension x for the given z-depth.
*
* @param z
* the z
* @param ds_dz
* the first derivative of s given z
* @return
* the standard deviation in dimension x
*/
public double getSx(double z, double[] ds_dz);
/**
* Gets the standard deviation and partial derivatives in dimension x for the given z-depth.
*
* @param z
* the z
* @param ds_dz
* the first and second derivative of s given z
* @return
* the standard deviation in dimension x
*/
public double getSx2(double z, double[] ds_dz);
/**
* Gets the standard deviation in dimension y for the given z-depth.
*
* @param z
* the z
* @return
* the standard deviation in dimension y
*/
public double getSy(double z);
/**
* Gets the standard deviation and partial derivatives in dimension y for the given z-depth.
*
* @param z
* the z
* @param ds_dz
* the first derivative of s given z
* @return
* the standard deviation in dimension y
*/
public double getSy(double z, double[] ds_dz);
/**
* Gets the standard deviation and partial derivatives in dimension y for the given z-depth.
*
* @param z
* the z
* @param ds_dz
* the first and second derivative of s given z
* @return
* the standard deviation in dimension y
*/
public double getSy2(double z, double[] ds_dz);
}