Fixed typo in setup.py

AstroAtmosphere/dispersionModels.py

@@ -14,6 +14,7 @@ from .ciddorModel import Observatory
 				The actual refraction is calculated by any of the following models:
 				- Plane parallel atmosphere
 				- Cassini spherical homogeneous atmosphere
+				- Mathar's Barometric exponential model
 				- Other methods described in Corbard et al., 2019.
 '''
 
@@ -38,39 +39,45 @@ class dispersion(Observatory):
 
 		Methods
 		-------
-		setReducedHeight(p, rho)
-			Sets the reduced atmospheric height.
-		planeParallel(n1, n2, zenith)
-			Returns the atmospheric dispersion assuming a plane parallel
-			atmosphere
 		cassini(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric dispersion asusming Cassini's homegeneous
+			Returns the atmospheric dispersion assuming Cassini's homegeneous
-			atmosphere model
+			atmosphere model.
-		tan5(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric dispersion following Oriani's theorem,
-			including a fifth order term in the expansion.
-		oriani(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric dispersion following the classic version
-			of Oriani's theorem.
-		corbard(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric dispersion following the method described 
-			in Corbard et al., 2019.
-		refractionIntegral(n1, n2, z0, R0=None, useStandardAtmosphere=True, heightData=None, rhoData=None)
-			Returns the atmospheric dispersion following the refraction integral.
-		psi(x)
-			Submethod for corbard()
-		set_rc()
-			Sets the local radius of curvature of the Earth at the observer.
-		set_H(p, rho)
-			Sets the reduced height for the conditions at the observer, assuming
-			an adiabatic atmosphere.
-		H_isotherm(T)
-			Sets the reduced height for the conditions at the observer, assuming
-			an isothermal atmosphere.
 		cassiniError(z, l1, l2, T, p, RH, xc, dl1=0, dl2=0, dT=0.2, dP=20, 
 					dRH=0.02, dCO2=20, dz=0, lat=None, h=None)
 			Returns the uncertainty in the atmospheric dispersion, assuming 
 			Cassini's homegeneous atmosphere model and the given parameters.
+		corbard(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric dispersion following the method described 
+			in Corbard et al., 2019.
+		gammaCoefficients(n1, reduced_height=None)
+			Helper function for matharExponential(), that calculates the gamma
+			coefficients.
+		H_isotherm(T)
+			Sets the reduced height for the conditions at the observer, assuming
+			an isothermal atmosphere.
+		matharExponential(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric dispersion assuming	Mathar's barometric 
+			exponential model.	
+		oriani(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric dispersion following the classic version
+			of Oriani's theorem.
+		planeParallel(n1, n2, zenith)
+			Returns the atmospheric dispersion assuming a plane parallel
+			atmosphere.	
+		psi(x)
+			Submethod for corbard().
+		refractionIntegral(n1, n2, zenith, R0=None, useStandardAtmosphere=True, heightData=None, rhoData=None)
+			Returns the atmospheric dispersion following the refraction integral.	
+		setReducedHeight(p, rho)
+			Sets the reduced atmospheric height.
+		set_H(p, rho)
+			Sets the reduced height for the conditions at the observer, assuming
+			an adiabatic atmosphere.
+		set_rc()
+			Sets the local radius of curvature of the Earth at the observer.
+		tan5(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric dispersion following Oriani's theorem,
+			including a fifth order term in the expansion.		
 		Other Observatory() methods
 	'''
 	def __init__(self, lat, h):
@@ -79,44 +86,6 @@ class dispersion(Observatory):
 		self.lat 	= lat						# Latitude of the observer in degrees
 		self.rc 	= self.set_rc() * 1000		# Radius of curvature of the earth at the observer
 
-	def setReducedHeight(self, p, rho):
-		'''
-			Sets the reduced atmospheric height.
-
-			Parameters
-			----------
-			p 	: float
-				Atmospheric pressure in Pascal
-			rho : float
-				Density of the atmospheric air at the observer
-		'''
-		self.H  	= self.set_H(p, rho) 		# Reduced height of the atmosphere assuming ideal gas law
-
-
-	def planeParallel(self, n1, n2, zenith):
-		'''
-			Refraction based on a flat atmosphere, easily derived from Snell's law.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the shortest wavelength of interest
-			n2 : float
-				Refractive index at the longest wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-
-			Returns
-			-------
-			dR : float
-				Atmospheric dispersion in degrees
-		'''
-		_R1 = np.arcsin(n1 * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
-		_R2 = np.arcsin(n2 * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
-		return np.degrees(_R1) - np.degrees(_R2)
-
-
 
 	def cassini(self, n1, n2, zenith, reduced_height=None):
 		'''
@@ -150,297 +119,7 @@ class dispersion(Observatory):
 		return np.degrees(_R1) - np.degrees(_R2)
 
 
-
+	def cassiniError(self, zenith, l1, l2, T, p, RH, xc, dl1=0, dl2=0, dT=0.2, dP=20,
-	def tan5(self, n1, n2, zenith, reduced_height=None):
-		'''
-			Same as oriani's theorem, but including a higher order term.
-			Found in Corbard et al., 2019.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the shortest wavelength of interest
-			n2 : float
-				Refractive index at the longest wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			reduced_height : float (optional)
-				Reduced height of the atmosphere. Default value is calculated
-				from the object attributes.
-
-			Returns
-			-------
-			dR : float
-				Atmospheric dispersion in degrees
-		'''
-		if reduced_height:
-			H = reduced_height
-		else:
-			H = self.H
-		
-		_rList = []
-		for _n in [n1, n2]:
-			_a = _n - 1
-			_b = H / self.rc
-			_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) )  - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3 + 3 * _a * (_b - _a/2)**2 * np.tan( np.deg2rad(zenith) )**5
-			_rList.append(np.degrees(_R))
-		return _rList[0] - _rList[1]
-
-
-
-	def oriani(self, n1, n2, zenith, reduced_height=None):
-		'''
-			Classic refraction formula with two tan(z) terms. 
-			This does not assume any information about the structure
-			of the atmosphere. Found with Oriani's theorem.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the shortest wavelength of interest
-			n2 : float
-				Refractive index at the longest wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			reduced_height : float (optional)
-				Reduced height of the atmosphere. Default value is calculated
-				from the object attributes.
-
-			Returns
-			-------
-			dR : float
-				Atmospheric dispersion in degrees
-		'''
-		if reduced_height:
-			H = reduced_height
-		else:
-			H = self.H
-
-		_rList = []
-		for _n in [n1, n2]:
-			_a = _n - 1
-			_b = H / self.rc
-			_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) ) - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3
-			_rList.append(np.degrees(_R))
-		return _rList[0] - _rList[1]
-
-
-
-	def corbard(self, n1, n2, zenith, reduced_height=None):
-		'''
-			Corbard et al., 2019, mention an additional formula based on
-			the error function. Oriani's theorem can be derived from this
-			equation by 'keeping only the three first terms of its 
-			asymptotic expansion'.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the shortest wavelength of interest
-			n2 : float
-				Refractive index at the longest wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			reduced_height : float (optional)
-				Reduced height of the atmosphere. Default value is calculated
-				from the object attributes.
-
-			Returns
-			-------
-			dR : float
-				Atmospheric dispersion in degrees
-		'''
-		if reduced_height:
-			H = reduced_height
-		else:
-			H = self.H
-
-		_rList = []
-		for _n in [n1, n2]:
-			_a = _n - 1
-			_b = H / self.rc
-			_R = _a * ( (2 - _a) / (np.sqrt( 2*_b - _a )) ) * np.sin( np.deg2rad(zenith) ) * self.psi( (np.cos(np.deg2rad(zenith))) / np.sqrt(2*_b - _a) )
-			_rList.append(np.degrees(_R))
-		return _rList[0] - _rList[1]
-
-
-
-	def refractionIntegral(self, n1, n2, z0, R0=None, useStandardAtmosphere=True, 
-				heightData=None, rhoData=None):
-		'''
-			Using data that gives temperature, pressure and density as a 
-			function of height, the gladstone-dale relation is invoked to
-			calculate the path of a light ray along the atmosphere. 
-			This is allows us to also include atmospheric activity in 
-			different atmosphere layers.
-			Recommended use with the US Standard Atmosphere from 1976.
-			USSA1976 data generated from code supplied by http://www.pdas.com/atmos.html
-			The method described in eq. 3 in Auer & Standish (2000) is used for the 
-			calculation.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the shortest wavelength of interest
-			n2 : float
-				Refractive index at the longest wavelength of interest
-			z0 : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			R0 : float (optional)
-				Local radius of curvature of the Earth in km.
-			useStandardAtmosphere : bool
-				Flag to use the included USSA1976 data
-			heightData : 1D Array
-				If "useStandardAtmosphere" is False, the function will ask
-				for alternative atmospheric data to integrate over. This
-				gives the altitudinal points
-			rhoData : 1D Array
-				If useStandardAtmosphere is False, the function will ask
-				for alternative atmospheric data to integrate over. This
-				gives the atmospheric density at the points defined by 
-				"heightData".
-
-			Returns
-			-------
-			dR : float
-				Atmospheric dispersion in degrees
-		'''
-		if not R0:
-			R0 = self.rc
-		if useStandardAtmosphere:
-			_datafileLocation = os.path.join(os.path.dirname(__file__), 'data/1976USSA.txt')
-			_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt(_datafileLocation, unpack=True, skip_header=6)
-		else:
-			_Dens = rhoData
-			_h 	  = heightData 
-
-		
-		_rList 					= []
-		z0 						= np.deg2rad(z0)
-		
-		# Integration of the refraction integral over the atmosphere layers.
-		for _n in [n1, n2]:
-			_Dens 	= np.asarray(_Dens)
-			_h 	 	= np.asarray(_h) 
-			_R 		= R0 + _h * 1000
-			
-			# Gladstone-Dale relation between refractive index and density
-			_n_h = 1 + (_n - 1) / _Dens[0] * _Dens 
-
-			# Calculation of the zenith angle for given height and refractive index, from the refractive invariant
-			_z 		= np.arcsin( (_n * R0) / (_n_h * _R) * np.sin(z0) )
-			
-			# Calculation of log space derivative of n and r
-			_lnn = np.log(_n_h)
-			_lnr = np.log(_R)
-			_dlnn = np.asarray([_lnn[i+1] - _lnn[i] for i in range(len(_lnn)-1)])
-			_dlnr = np.asarray([_lnr[i+1] - _lnr[i] for i in range(len(_lnr)-1)])
-			_dz   = np.asarray([(_z[i] - _z[i+1]) for i in range(len(_z)-1)])
-
-			# Calculation of the integrand in eq. 3 in Auer & Standish
-			_Integrand = -1*(_dlnn/_dlnr) / (1 + _dlnn/_dlnr) * _dz
-			_rList.append(np.degrees(np.sum(_Integrand)))
-		return _rList[0] - _rList[1]
-
-
-
-	def psi(self, x):
-		'''
-			Submethod for corbard(). Described explicitly in Corbard et al.,2019.
-
-			Parameters
-			----------
-			x 	: 	float
-				Input of the function
-
-			Returns
-			-------
-			y 	: 	float
-				Output of the function
-		'''
-		_f   = lambda a: np.exp(-a**2)
-		_int = integrate.quad(_f, x, np.inf)
-		return np.exp(x**2) * _int[0]
-
-
-	def set_rc(self):
-		'''
-			Returns the radius of the curvature at the observer in km,
-			taking into account the latitude of the observer and the corresponding
-			ellipsoidality of the earth.
-
-			Returns
-			-------
-			rc 	: float
-				Local radius of curvature of the Earth in kilometers.
-		'''
-		_A   = 6378.137 # km
-		_B   = 6356.752 # km
-		_phi = np.deg2rad(self.lat)
-		
-		_rc0 = (_A*_B)**2 / (_A**2 * np.cos(_phi)**2 + _B**2 * np.sin(_phi)**2)**(3/2)
-		return _rc0 + self.h/1000
-
-
-	def set_H(self, p, rho):
-		'''
-			Calculates the reduced height of the atmosphere, assuming ideal gas law.
-
-			Parameters
-			----------
-			p 	: float
-				Atmospheric pressure in Pascal
-			rho : float
-				Density of the atmospheric air at the observer
-
-			Returns
-			-------
-			H 	: float
-				Reduced height of the atmosphere in meters
-		'''
-		_phi = np.deg2rad(self.lat)
-		_c1 = 5.2790414e-3
-		_c2 = 2.32718e-5
-		_c3 = 1.262e-7
-		_c4 = 7e-10
-		_g0 = 9.780327 # m/s^2
-		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
-		_g = _g0_local - (3.0877e-6 - 4.3e-9 * np.sin(_phi)**2) * self.h + 7.2e-13 * self.h**2
-		return p / (rho * _g)
-
-	def H_isotherm(self, T):
-		'''
-			Calculates the reduced height of the atmosphere, 
-			assuming an isotherm distribution.
-
-			Parameters
-			----------
-			T 	: float
-				Atmospheric temperature in Kelvin
-
-			Returns
-			-------
-			H 	: float
-				Reduced height of the atmosphere in meters
-		'''
-		_kb = 1.38064852e-23 # kg m2 s-2 K-1
-		_m  = 4.809651698e-26 # kg (weight per molecule of air, assuming dry air)
-
-		_phi = np.deg2rad(self.lat)
-		_c1 = 5.2790414e-3
-		_c2 = 2.32718e-5
-		_c3 = 1.262e-7
-		_c4 = 7e-10
-		_g0 = 9.780327 # m/s^2
-		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
-
-		return (_kb*T) / (_m * _g0_local)
-
-	def cassiniError(self, z, l1, l2, T, p, RH, xc, dl1=0, dl2=0, dT=0.2, dP=20,
 						dRH=0.02, dCO2=20, dz=0, lat=None, h=None):
 		'''
 			Calculates the uncertainty in the atmospheric dispersion, 
@@ -455,7 +134,7 @@ class dispersion(Observatory):
 
 			Parameters
 			----------
-			z 	: float
+			zenith : float
 				Angle of observation in degrees.
 				zenith = 0 means the observation is directly overhead.
 			l1 	: float
@@ -549,7 +228,7 @@ class dispersion(Observatory):
 		_rho_obs = self.rho(p, T, RH, xc)
 		self.rc  = self.set_rc() * 1000
 		self.H   = self.set_H(p, _rho_obs) 
-		_alpha   = self.rc * np.sin(np.deg2rad(z)) / (self.rc + self.H)
+		_alpha   = self.rc * np.sin(np.deg2rad(zenith)) / (self.rc + self.H)
 		_p_a 	 = p - RH*self.svp(T) 
 		_p_w     = RH*self.svp(T)
 		_x_w_a	 = self.xw(_p_a, T, _RH_a)
@@ -696,7 +375,7 @@ class dispersion(Observatory):
 
 
 		# Partial derivatives for derivation to z
-		_zenith = np.deg2rad(z)
+		_zenith = np.deg2rad(zenith)
 		_dz   	= np.deg2rad(dz)
 		_R 		= self.rc
 		_H 		= self.H
@@ -706,3 +385,457 @@ class dispersion(Observatory):
 		_dispersionError = np.sqrt( (_dddl1 * dl1)**2 + (_dddl2 * dl2)**2 + (_dddT * dT)**2  + (_dddP * dP)**2 + (_dddRH * dRH)**2 + (_dddCO2 * dCO2)**2  + (_dddz * _dz)**2)
 
 		return np.degrees(_dispersionError)
+
+
+	def corbard(self, n1, n2, zenith, reduced_height=None):
+		'''
+			Corbard et al., 2019, mention an additional formula based on
+			the error function. Oriani's theorem can be derived from this
+			equation by 'keeping only the three first terms of its 
+			asymptotic expansion'.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the shortest wavelength of interest
+			n2 : float
+				Refractive index at the longest wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			dR : float
+				Atmospheric dispersion in degrees
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+
+		_rList = []
+		for _n in [n1, n2]:
+			_a = _n - 1
+			_b = H / self.rc
+			_R = _a * ( (2 - _a) / (np.sqrt( 2*_b - _a )) ) * np.sin( np.deg2rad(zenith) ) * self.psi( (np.cos(np.deg2rad(zenith))) / np.sqrt(2*_b - _a) )
+			_rList.append(np.degrees(_R))
+		return _rList[0] - _rList[1]
+
+
+	def gammaCoefficients(self, n1, reduced_height=None):
+		'''
+			Submethod for matharExponential(). Calculates the gamma
+			coefficients.
+
+			Parameters
+			----------
+			n1 	: 	float
+				Refractive index at the wavelength of interest at the observer
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			g 	: 	array
+				List of values, corresponding to the gamma coefficients.
+				g[0] corresponds to g_1, g[1] to g_3, g[2] to g_5, and so on.
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+
+		_chi0   = n1**2 - 1
+		_Khat 	= H / self.rc
+
+		_g1 = (1 - 5/24 * _Khat * _chi0**2 - 3/4 * _chi0 - 3/8 * _Khat**2 * _chi0 \
+			- _Khat - 6 * _Khat**3 + 5/8 * _chi0**2 + 63/128 * _chi0**4 + 3/8 \
+			* _Khat * _chi0 + 35/256 * _Khat * _chi0**3 + 2 * _Khat**2 + 5/36 \
+			* _Khat**2 * _chi0**2 - 35/64 * _chi0**3 + 9/16 * _Khat**3 * _chi0 \
+			- 120 * _Khat**5 + 24 * _Khat**4 - 231 / 512 * _chi0**5 - 63 / 640 \
+			* _Khat * _chi0**4 - 35 / 512 * _Khat**2 * _chi0**3 - 5 / 36 * _Khat**3\
+			* _chi0**2 - 9 / 8 * _Khat**4 * _chi0 )
+		
+		_g3 = (35/96 * _chi0**3 - 5/12 * _chi0**2 + 333 * _Khat**4 * _chi0 - 2400 \
+			* _Khat**5 + 3605/4608 * _Khat**2 * _chi0**3 + 63/256 * _Khat * _chi0**4\
+			 - 819/16 * _Khat**3 * _chi0 - 35/18 * _Khat**2 * _chi0**2 - 35/96 \
+			 * _Khat * _chi0**3 + 69/8 * _Khat**2 * _chi0 + 5/8 * _Khat * _chi0**2 \
+			 - 3/2 * _Khat * _chi0 + 1355/216 * _Khat**3 * _chi0**2 + 10 * _Khat**2 \
+			 + 336 * _Khat**4 - 2 * _Khat + _chi0/2 - 21/64 * _chi0**4 - 54 * _Khat**3 \
+			 + 77/256 * _chi0**5 ) * 1/2
+		
+		_g5 = (-96 * _Khat**3 + 8 * _Khat**2 - 7/24 * _chi0**3 + 65/4 * _Khat**2 \
+			* _chi0**2 + 35/48 * _Khat * _chi0**3 + 30 * _Khat**2 * _chi0 - 5/3 \
+			* _Khat * _chi0**2 - 3 * _Khat * _chi0 + 20091/8 * _Khat**4 * _chi0 \
+			- 32605/216 * _Khat**3 * _chi0**2 - 35/9 * _Khat**2 * _chi0**3 + 984 \
+			* _Khat**4 + _chi0**2/3 - 10200 * _Khat**5 - 77/320 * _chi0**5 + 21/80 \
+			* _chi0**4 - 1089/4 * _Khat**3 * _chi0 - 7/16 * _Khat * _chi0**4 ) * 3/8
+		
+		_g7 = (-17520 * _Khat**5 - 9/40 * _chi0**4 - 8755/12 * _Khat**3 * _chi0**2 \
+			+ 1056 * _Khat**4 + _chi0**3/4 + 23517/4 * _Khat**4 * _chi0 - 11/3 \
+			* _Khat * _chi0**2 + 21 * _Khat**2 * _chi0 - 7/4 * _Khat * _chi0**3 \
+			+ 505/9 * _Khat**2 * _chi0**2 - 801/2 * _Khat**3 * _chi0 + 33/160 \
+			* _chi0**5 - 48 * _Khat**3 + 63/80 * _Khat * _chi0**4 + 2345/96 \
+			* _Khat**2 * _chi0**3) * 5/16
+		
+		_g9 = (_chi0**4 / 5 + 384 * _Khat**4 - 13440 * _Khat**5 + 5562 * _Khat**4 \
+			* _chi0 + 3125/36 * _Khat**2 * _chi0**3 - 11/60 * _chi0**5 - 25/6 \
+			* _Khat * _chi0**3 - 26950/27 * _Khat**3 * _chi0**2 + 340/9 * _Khat**2 \
+			* _chi0**2 - 180 * _Khat**3 * _chi0 - 9/5 * _Khat * _chi0**4) * 35/128
+
+		g = np.array([_g1, _g3, _g5, _g7, _g9])
+		g*= n1*_chi0/2
+
+		return g
+
+
+	def H_isotherm(self, T):
+		'''
+			Calculates the reduced height of the atmosphere, 
+			assuming an isotherm distribution.
+
+			Parameters
+			----------
+			T 	: float
+				Atmospheric temperature in Kelvin
+
+			Returns
+			-------
+			H 	: float
+				Reduced height of the atmosphere in meters
+		'''
+		_kb = 1.38064852e-23 # kg m2 s-2 K-1
+		_m  = 4.809651698e-26 # kg (weight per molecule of air, assuming dry air)
+
+		_phi = np.deg2rad(self.lat)
+		_c1 = 5.2790414e-3
+		_c2 = 2.32718e-5
+		_c3 = 1.262e-7
+		_c4 = 7e-10
+		_g0 = 9.780327 # m/s^2
+		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
+
+		return (_kb*T) / (_m * _g0_local)
+
+
+	def matharExponential(self, n1, n2, zenith, reduced_height=None):
+		'''
+			Model on atmospheric refraction described by Richard Mathar in 
+			"A Barometric Exponential Model of the Atmosphere’s Refractive Index:  ZenithAngles and Second Order Aberration in the Entrance Pupil" (2020)
+			ArXiv id: 2004.11808 (https://arxiv.org/abs/2004.11808)
+			
+			The code in this function is adapted from eqs 3, 16, 17 and 18 in this
+			work. It is an adaptation of the RefrExpo.cxx C++ file written by Mathar.
+
+			This model assumes the refractive index, n, is related to the susceptibility, 
+			chi, following: n(r) = sqrt(1+chi(r)) (eq. 9).
+
+			R. Mathar then assumes that the susceptibility is proportional to the
+			air density and reduced height, following eq. 10:
+			chi(r) = chi0 * exp(-(r-rho)/K).
+
+			The refraction is described using a Taylor expansion; R in terms of
+			the odd powers of the tangent of the observed zenith angle (eq. 3), not
+			unlike Oriani's theorem. This requires coefficients g_i.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest at the observer
+			n2 : float
+				Refractive index at the longest wavelength of interest at the
+				observer
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			dR : float
+				Atmospheric refraction in degrees
+		'''
+		if reduced_height:
+			_H = reduced_height
+		else:
+			_H = self.H
+
+		_zenith	= np.deg2rad(zenith)
+		_rc 	= self.rc # rho
+
+		# Atmospheric refraction for the first wavelength
+		_gamma1 = self.gammaCoefficients(n1, reduced_height=_H)
+		_R1 = sum([_gamma1[i]*np.tan(_zenith)**(2*i+1) for i in range(len(_gamma1))])
+
+		# Atmospheric refraction for the second wavelength
+		_gamma2 = self.gammaCoefficients(n2, reduced_height=_H)
+		_R2 = sum([_gamma2[i]*np.tan(_zenith)**(2*i+1) for i in range(len(_gamma2))])
+
+		# The atmospheric dispersion in radians
+		_dR = _R1 - _R2
+
+		return np.degrees(_dR)
+
+
+	def oriani(self, n1, n2, zenith, reduced_height=None):
+		'''
+			Classic refraction formula with two tan(z) terms. 
+			This does not assume any information about the structure
+			of the atmosphere. Found with Oriani's theorem.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the shortest wavelength of interest
+			n2 : float
+				Refractive index at the longest wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			dR : float
+				Atmospheric dispersion in degrees
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+
+		_rList = []
+		for _n in [n1, n2]:
+			_a = _n - 1
+			_b = H / self.rc
+			_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) ) - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3
+			_rList.append(np.degrees(_R))
+		return _rList[0] - _rList[1]
+
+
+	def planeParallel(self, n1, n2, zenith):
+		'''
+			Refraction based on a flat atmosphere, easily derived from Snell's law.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the shortest wavelength of interest
+			n2 : float
+				Refractive index at the longest wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+
+			Returns
+			-------
+			dR : float
+				Atmospheric dispersion in degrees
+		'''
+		_R1 = np.arcsin(n1 * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
+		_R2 = np.arcsin(n2 * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
+		return np.degrees(_R1) - np.degrees(_R2)
+
+
+	def psi(self, x):
+		'''
+			Submethod for corbard(). Described explicitly in Corbard et al.,2019.
+
+			Parameters
+			----------
+			x 	: 	float
+				Input of the function
+
+			Returns
+			-------
+			y 	: 	float
+				Output of the function
+		'''
+		_f   = lambda a: np.exp(-a**2)
+		_int = integrate.quad(_f, x, np.inf)
+		return np.exp(x**2) * _int[0]
+
+
+	def refractionIntegral(self, n1, n2, zenith, R0=None, useStandardAtmosphere=True, 
+				heightData=None, rhoData=None):
+		'''
+			Using data that gives temperature, pressure and density as a 
+			function of height, the gladstone-dale relation is invoked to
+			calculate the path of a light ray along the atmosphere. 
+			This is allows us to also include atmospheric activity in 
+			different atmosphere layers.
+			Recommended use with the US Standard Atmosphere from 1976.
+			USSA1976 data generated from code supplied by http://www.pdas.com/atmos.html
+			The method described in eq. 3 in Auer & Standish (2000) is used for the 
+			calculation.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the shortest wavelength of interest
+			n2 : float
+				Refractive index at the longest wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			R0 : float (optional)
+				Local radius of curvature of the Earth in km.
+			useStandardAtmosphere : bool
+				Flag to use the included USSA1976 data
+			heightData : 1D Array
+				If "useStandardAtmosphere" is False, the function will ask
+				for alternative atmospheric data to integrate over. This
+				gives the altitudinal points
+			rhoData : 1D Array
+				If useStandardAtmosphere is False, the function will ask
+				for alternative atmospheric data to integrate over. This
+				gives the atmospheric density at the points defined by 
+				"heightData".
+
+			Returns
+			-------
+			dR : float
+				Atmospheric dispersion in degrees
+		'''
+		if not R0:
+			R0 = self.rc
+		if useStandardAtmosphere:
+			_datafileLocation = os.path.join(os.path.dirname(__file__), 'data/1976USSA.txt')
+			_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt(_datafileLocation, unpack=True, skip_header=6)
+		else:
+			_Dens = rhoData
+			_h 	  = heightData 
+
+		
+		_rList 					= []
+		zenith 						= np.deg2rad(zenith)
+		
+		# Integration of the refraction integral over the atmosphere layers.
+		for _n in [n1, n2]:
+			_Dens 	= np.asarray(_Dens)
+			_h 	 	= np.asarray(_h) 
+			_R 		= R0 + _h * 1000
+			
+			# Gladstone-Dale relation between refractive index and density
+			_n_h = 1 + (_n - 1) / _Dens[0] * _Dens 
+
+			# Calculation of the zenith angle for given height and refractive index, from the refractive invariant
+			_z 		= np.arcsin( (_n * R0) / (_n_h * _R) * np.sin(zenith) )
+			
+			# Calculation of log space derivative of n and r
+			_lnn = np.log(_n_h)
+			_lnr = np.log(_R)
+			_dlnn = np.asarray([_lnn[i+1] - _lnn[i] for i in range(len(_lnn)-1)])
+			_dlnr = np.asarray([_lnr[i+1] - _lnr[i] for i in range(len(_lnr)-1)])
+			_dz   = np.asarray([(_z[i] - _z[i+1]) for i in range(len(_z)-1)])
+
+			# Calculation of the integrand in eq. 3 in Auer & Standish
+			_Integrand = -1*(_dlnn/_dlnr) / (1 + _dlnn/_dlnr) * _dz
+			_rList.append(np.degrees(np.sum(_Integrand)))
+		return _rList[0] - _rList[1]
+
+
+	def setReducedHeight(self, p, rho):
+		'''
+			Sets the reduced atmospheric height.
+
+			Parameters
+			----------
+			p 	: float
+				Atmospheric pressure in Pascal
+			rho : float
+				Density of the atmospheric air at the observer
+		'''
+		self.H  	= self.set_H(p, rho) 		# Reduced height of the atmosphere assuming ideal gas law
+
+
+	def set_H(self, p, rho):
+		'''
+			Calculates the reduced height of the atmosphere, assuming ideal gas law.
+
+			Parameters
+			----------
+			p 	: float
+				Atmospheric pressure in Pascal
+			rho : float
+				Density of the atmospheric air at the observer
+
+			Returns
+			-------
+			H 	: float
+				Reduced height of the atmosphere in meters
+		'''
+		_phi = np.deg2rad(self.lat)
+		_c1 = 5.2790414e-3
+		_c2 = 2.32718e-5
+		_c3 = 1.262e-7
+		_c4 = 7e-10
+		_g0 = 9.780327 # m/s^2
+		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
+		_g = _g0_local - (3.0877e-6 - 4.3e-9 * np.sin(_phi)**2) * self.h + 7.2e-13 * self.h**2
+		return p / (rho * _g)
+
+
+	def set_rc(self):
+		'''
+			Returns the radius of the curvature at the observer in km,
+			taking into account the latitude of the observer and the corresponding
+			ellipsoidality of the earth.
+
+			Returns
+			-------
+			rc 	: float
+				Local radius of curvature of the Earth in kilometers.
+		'''
+		_A   = 6378.137 # km
+		_B   = 6356.752 # km
+		_phi = np.deg2rad(self.lat)
+		
+		_rc0 = (_A*_B)**2 / (_A**2 * np.cos(_phi)**2 + _B**2 * np.sin(_phi)**2)**(3/2)
+		return _rc0 + self.h/1000
+
+
+	def tan5(self, n1, n2, zenith, reduced_height=None):
+		'''
+			Same as oriani's theorem, but including a higher order term.
+			Found in Corbard et al., 2019.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the shortest wavelength of interest
+			n2 : float
+				Refractive index at the longest wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			dR : float
+				Atmospheric dispersion in degrees
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+		
+		_rList = []
+		for _n in [n1, n2]:
+			_a = _n - 1
+			_b = H / self.rc
+			_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) )  - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3 + 3 * _a * (_b - _a/2)**2 * np.tan( np.deg2rad(zenith) )**5
+			_rList.append(np.degrees(_R))
+		return _rList[0] - _rList[1]

AstroAtmosphere/examples.py

@@ -68,7 +68,7 @@ def quick_refractive_index(l, conditions='STANDARD', T=288.15, p=101325,
 	return n
 
 
-def quick_refraction(l, z, conditions='STANDARD', T=288.15, p=101325, 
+def quick_refraction(l, zenith, conditions='STANDARD', T=288.15, p=101325, 
 							H=0.0, xc=450, lat=0, h=0):
 	'''
 		Function to quickly calculate the refraction
@@ -79,8 +79,9 @@ def quick_refraction(l, z, conditions='STANDARD', T=288.15, p=101325,
 		----------
 		l  	: 	float 
 			Wavelength in microns
-		z  	: 	float 
+		zenith : float
-			Zenith angle of the observation
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
 		conditions 	: string
 			'STANDARD' or 'CERRO_ARMAZONES', refers
 			to the standard atmospheric conditions.
@@ -132,10 +133,10 @@ def quick_refraction(l, z, conditions='STANDARD', T=288.15, p=101325,
 	# Initializing refraction model and setting the reduced height
 	ref = refraction(lat, h)
 	ref.setReducedHeight(p, rho)
-	return ref.cassini(n, z)
+	return ref.cassini(n, zenith)
 
 
-def quick_dispersion(l1, l2, z, conditions='STANDARD', T=288.15, 
+def quick_dispersion(l1, l2, zenith, conditions='STANDARD', T=288.15, 
 						p=101325, H=0.0, xc=450, lat=0, h=0):
 	'''
 		Function to quickly calculate the dispersion
@@ -148,8 +149,9 @@ def quick_dispersion(l1, l2, z, conditions='STANDARD', T=288.15,
 			Shortest wavelength of interest in micron.
 		l2 	: 	float
 			Longest wavelength of interest in micron.
-		z 	: 	float
+		zenith : float
-			Zenith angle of the observation
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
 		conditions 	: string
 			'STANDARD' or 'CERRO_ARMAZONES', refers
 			to the standard atmospheric conditions.
@@ -202,4 +204,4 @@ def quick_dispersion(l1, l2, z, conditions='STANDARD', T=288.15,
 	# Initializing refraction model and setting the reduced height
 	disp = dispersion(lat, h)
 	disp.setReducedHeight(p, rho)
-	return disp.cassini(n1, n2, z)
+	return disp.cassini(n1, n2, zenith)

AstroAtmosphere/refractionModels.py

@@ -9,11 +9,11 @@ from .ciddorModel import Observatory
 @ Contact:		born@astron.nl
 @ Description:	This script offers a complete model of the atmospheric refraction
 				and dispersion. It uses the Ciddor1996 paper to calculate the 
-				index of refraction for a wide range of conditions, with corresponding
+				index of refraction for a wide range of conditions, with corresponding error propagation if needed.
-				error propagation if needed.
 				The actual refraction is calculated by any of the following models:
 				- Plane parallel atmosphere
 				- Cassini spherical homogeneous atmosphere
+				- Mathar's Barometric exponential model
 				- Other methods described in Corbard et al., 2019.
 '''
 
@@ -38,39 +38,45 @@ class refraction(Observatory):
 
 		Methods
 		-------
-		setReducedHeight(p, rho)
-			Sets the reduced atmospheric height.
-		planeParallel(n1, n2, zenith)
-			Returns the atmospheric refraction assuming a plane parallel
-			atmosphere
 		cassini(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric refraction asusming Cassini's homegeneous
+			Returns the atmospheric refraction assuming Cassini's homegeneous
-			atmosphere model
+			atmosphere model.
-		tan5(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric refraction following Oriani's theorem,
-			including a fifth order term in the expansion.
-		oriani(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric refraction following the classic version
-			of Oriani's theorem.
-		corbard(n1, n2, zenith, reduced_height=None)
-			Returns the atmospheric refraction following the method described 
-			in Corbard et al., 2019.
-		refractionIntegral(n1, n2, z0, R0=None, useStandardAtmosphere=True, heightData=None, rhoData=None)
-			Returns the atmospheric refraction following the refraction integral.
-		psi(x)
-			Submethod for corbard()
-		set_rc()
-			Sets the local radius of curvature of the Earth at the observer.
-		set_H(p, rho)
-			Sets the reduced height for the conditions at the observer, assuming
-			an adiabatic atmosphere.
-		H_isotherm(T)
-			Sets the reduced height for the conditions at the observer, assuming
-			an isothermal atmosphere.
 		cassiniError(z, l1, l2, T, p, RH, xc, dl1=0, dl2=0, dT=0.2, dP=20, 
 					dRH=0.02, dCO2=20, dz=0, lat=None, h=None)
 			Returns the uncertainty in the atmospheric refraction, assuming 
 			Cassini's homegeneous atmosphere model and the given parameters.
+		corbard(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric refraction following the method described 
+			in Corbard et al., 2019.
+		gammaCoefficients(n1, reduced_height=None)
+			Helper function for matharExponential(), that calculates the gamma
+			coefficients.
+		H_isotherm(T)
+			Sets the reduced height for the conditions at the observer, assuming
+			an isothermal atmosphere.
+		matharExponential(n1, zenith, reduced_height=None)
+			Returns the atmospheric refraction assuming	Mathar's barometric 
+			exponential model.
+		oriani(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric refraction following the classic version
+			of Oriani's theorem.	
+		planeParallel(n1, n2, zenith)
+			Returns the atmospheric refraction assuming a plane parallel
+			atmosphere.
+		psi(x)
+			Submethod for corbard().
+		refractionIntegral(n1, n2, zenith, R0=None, useStandardAtmosphere=True, heightData=None, rhoData=None)
+			Returns the atmospheric refraction following the refraction integral.
+		setReducedHeight(p, rho)
+			Sets the reduced atmospheric height.
+		set_H(p, rho)
+			Sets the reduced height for the conditions at the observer, assuming
+			an adiabatic atmosphere.
+		set_rc()
+			Sets the local radius of curvature of the Earth at the observer.			
+		tan5(n1, n2, zenith, reduced_height=None)
+			Returns the atmospheric refraction following Oriani's theorem,
+			including a fifth order term in the expansion.				
 		Other Observatory() methods
 	'''
 	def __init__(self, lat, h):
@@ -80,41 +86,6 @@ class refraction(Observatory):
 		self.rc 	= self.set_rc() * 1000	# Radius of curvature of the earth at the observer
 		# self.H2 	= self.H_isotherm(T) 	# Reduced height of isotherm atmosphere
 
-	def setReducedHeight(self, p, rho):
-		'''
-			Sets the reduced atmospheric height.
-
-			Parameters
-			----------
-			p 	: float
-				Atmospheric pressure in Pascal
-			rho : float
-				Density of the atmospheric air at the observer
-		'''
-		self.H  	= self.set_H(p, rho) 		# Reduced height of the atmosphere assuming ideal gas law
-
-
-	def planeParallel(self, n1, zenith):
-		'''
-			Refraction based on a flat atmosphere, easily derived from Snell's law.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-
-			Returns
-			-------
-			R : float
-				Atmospheric refraction in degrees
-		'''
-		_R = np.arcsin(n * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
-		return np.degrees(_R)
-
-
 
 	def cassini(self, n1, zenith, reduced_height=None):
 		'''
@@ -145,276 +116,6 @@ class refraction(Observatory):
 		return np.degrees(_R1)
 
 
-
-	def tan5(self, n1, zenith, reduced_height=None):
-		'''
-			Same as oriani's theorem, but including a higher order term.
-			Found in Corbard et al., 2019.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			reduced_height : float (optional)
-				Reduced height of the atmosphere. Default value is calculated
-				from the object attributes.
-
-			Returns
-			-------
-			R : float
-				Atmospheric refraction in degrees
-		'''
-		if reduced_height:
-			H = reduced_height
-		else:
-			H = self.H
-		
-		_a = n1 - 1
-		_b = H / self.rc
-		_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) )  - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3 + 3 * _a * (_b - _a/2)**2 * np.tan( np.deg2rad(zenith) )**5
-		return np.degrees(_R)
-
-
-
-	def oriani(self, n1, zenith, reduced_height=None):
-		'''
-			Classic refraction formula with two tan(z) terms. This does not 
-			assume any information about the structure of the atmosphere. 
-			Found with Oriani's theorem.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			reduced_height : float (optional)
-				Reduced height of the atmosphere. Default value is calculated
-				from the object attributes.
-
-			Returns
-			-------
-			R : float
-				Atmospheric refraction in degrees
-		'''
-		if reduced_height:
-			H = reduced_height
-		else:
-			H = self.H
-
-		_a = n1 - 1
-		_b = H / self.rc
-		_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) ) - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3
-		return np.degrees(_R)
-
-
-
-	def corbard(self, n1, zenith, reduced_height=None):
-		'''
-			Corbard et al., 2019, mention an additional formula based on the error function.
-			Oriani's theorem can be derived from this equation by 'keeping only the three first
-			terms of its asymptotic expansion'.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the wavelength of interest
-			zenith : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			reduced_height : float (optional)
-				Reduced height of the atmosphere. Default value is calculated
-				from the object attributes.
-
-			Returns
-			-------
-			R : float
-				Atmospheric refraction in degrees
-		'''
-		if reduced_height:
-			H = reduced_height
-		else:
-			H = self.H
-
-		_a = n1 - 1
-		_b = H / self.rc
-		_R = _a * ( (2 - _a) / (np.sqrt( 2*_b - _a )) ) * np.sin( np.deg2rad(zenith) ) * self.psi( (np.cos(np.deg2rad(zenith))) / np.sqrt(2*_b - _a) )
-		return np.degrees(_R)
-
-
-
-	def refractionIntegral(self, n1, z0, R0=None, useStandardAtmosphere=True, heightData=None, rhoData=None):
-		'''
-			Using data that gives temperature, pressure and density as a 
-			function of height, the gladstone-dale relation is invoked to
-			calculate the path of a light ray along the atmosphere. 
-			This is allows us to also include atmospheric activity in 
-			different atmosphere layers.
-			Recommended use with the US Standard Atmosphere from 1976.
-			USSA1976 data generated from code supplied by http://www.pdas.com/atmos.html
-			The method described in eq. 3 in Auer & Standish (2000) is used for the 
-			calculation.
-
-			Parameters
-			----------
-			n1 : float
-				Refractive index at the wavelength of interest
-			z0 : float
-				Angle of observation in degrees.
-				zenith = 0 means the observation is directly overhead.
-			R0 : float (optional)
-				Local radius of curvature of the Earth in km.
-			useStandardAtmosphere : bool
-				Flag to use the included USSA1976 data
-			heightData : 1D Array
-				If "useStandardAtmosphere" is False, the function will ask
-				for alternative atmospheric data to integrate over. This
-				gives the altitudinal points
-			rhoData : 1D Array
-				If useStandardAtmosphere is False, the function will ask
-				for alternative atmospheric data to integrate over. This
-				gives the atmospheric density at the points defined by 
-				"heightData".
-
-			Returns
-			-------
-			R : float
-				Atmospheric refraction in degrees
-
-		'''
-		if not R0:
-			R0 = self.rc
-		if useStandardAtmosphere:
-			_datafileLocation = os.path.join(os.path.dirname(__file__), 'data/1976USSA.txt')
-			_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt(_datafileLocation, unpack=True, skip_header=6)
-		else:
-			_Dens = rhoData
-			_h 	  = heightData
-
-		z0 						= np.deg2rad(z0)
-		_Dens 	= np.asarray(_Dens)
-		_h 	 	= np.asarray(_h) 
-		_R 		= R0 + _h * 1000
-		
-		# Gladstone-Dale relation between refractive index and density
-		_n_h = 1 + (n0 - 1) / _Dens[0] * _Dens 
-
-		# Calculation of the zenith angle for given height and refractive index, from the refractive invariant
-		_z 		= np.arcsin( (n0 * R0) / (_n_h * _R) * np.sin(z0) )
-		
-		# Calculation of log space derivative of n and r
-		_lnn = np.log(_n_h)
-		_lnr = np.log(_R)
-		_dlnn = np.asarray([_lnn[i+1] - _lnn[i] for i in range(len(_lnn)-1)])
-		_dlnr = np.asarray([_lnr[i+1] - _lnr[i] for i in range(len(_lnr)-1)])
-		_dz   = np.asarray([(_z[i] - _z[i+1]) for i in range(len(_z)-1)])
-
-		# Calculation of the integrand in eq. 3 in Auer & Standish
-		_Integrand = -1*(_dlnn/_dlnr) / (1 + _dlnn/_dlnr) * _dz
-
-
-		return np.degrees(np.sum(_Integrand))
-
-
-
-	def psi(self, x):
-		'''
-			Submethod for corbard(). Described explicitly in Corbard et al.,2019.
-
-			Parameters
-			----------
-			x 	: 	float
-				Input of the function
-
-			Returns
-			-------
-			y 	: 	float
-				Output of the function
-		'''
-		_f   = lambda a: np.exp(-a**2)
-		_int = integrate.quad(_f, x, np.inf)
-		return np.exp(x**2) * _int[0]
-
-
-
-	def set_rc(self):
-		'''
-			Returns the radius of the curvature at the observer in km,
-			taking into account the latitude of the observer and the corresponding
-			ellipsoidality of the earth.
-
-			Returns
-			-------
-			rc 	: float
-				Local radius of curvature of the Earth in kilometers.
-		'''
-		_A   = 6378.137 # km
-		_B   = 6356.752 # km
-		_phi = np.deg2rad(self.lat)
-		
-		_rc0 = (_A*_B)**2 / (_A**2 * np.cos(_phi)**2 + _B**2 * np.sin(_phi)**2)**(3/2)
-		return _rc0 + self.h/1000
-
-
-
-	def set_H(self, p, rho):
-		'''
-			Calculates the reduced height of the atmosphere, assuming ideal gas law.
-
-			Parameters
-			----------
-			p 	: float
-				Atmospheric pressure in Pascal
-			rho : float
-				Density of the atmospheric air at the observer
-
-			Returns
-			-------
-			H 	: float
-				Reduced height of the atmosphere in meters
-		'''
-		_phi = np.deg2rad(self.lat)
-		_c1 = 5.2790414e-3
-		_c2 = 2.32718e-5
-		_c3 = 1.262e-7
-		_c4 = 7e-10
-		_g0 = 9.780327 # m/s^2
-		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
-		_g = _g0_local - (3.0877e-6 - 4.3e-9 * np.sin(_phi)**2) * self.h + 7.2e-13 * self.h**2
-		return p / (rho * _g)
-
-	def H_isotherm(self, T):
-		'''
-			Calculates the reduced height of the atmosphere, 
-			assuming an isotherm distribution.
-
-			Parameters
-			----------
-			T 	: float
-				Atmospheric temperature in Kelvin
-
-			Returns
-			-------
-			H 	: float
-				Reduced height of the atmosphere in meters
-		'''
-		_kb = 1.38064852e-23 # kg m2 s-2 K-1
-		_m  = 4.809651698e-26 # kg (weight per molecule of air, assuming dry air)
-
-		_phi = np.deg2rad(self.lat)
-		_c1 = 5.2790414e-3
-		_c2 = 2.32718e-5
-		_c3 = 1.262e-7
-		_c4 = 7e-10
-		_g0 = 9.780327 # m/s^2
-		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
-
-		return (_kb*T) / (_m * _g0_local)
-
 	def cassiniError(self, n, dn, zenith, dz=0, reduced_height=None):
 		'''
 		Calculates the uncertainty in the refraction angle in degrees.
@@ -455,3 +156,426 @@ class refraction(Observatory):
 		_dR 	= np.sqrt( (_dRdn * dn)**2 + (_dRdz * _dz)**2)
 
 		return np.degrees(_dR)
+
+
+	def corbard(self, n1, zenith, reduced_height=None):
+		'''
+			Corbard et al., 2019, mention an additional formula based on the error function.
+			Oriani's theorem can be derived from this equation by 'keeping only the three first
+			terms of its asymptotic expansion'.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			R : float
+				Atmospheric refraction in degrees
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+
+		_a = n1 - 1
+		_b = H / self.rc
+		_R = _a * ( (2 - _a) / (np.sqrt( 2*_b - _a )) ) * np.sin( np.deg2rad(zenith) ) * self.psi( (np.cos(np.deg2rad(zenith))) / np.sqrt(2*_b - _a) )
+		return np.degrees(_R)
+
+
+	def gammaCoefficients(self, n1, reduced_height=None):
+		'''
+			Submethod for matharExponential(). Calculates the gamma
+			coefficients.
+
+			Parameters
+			----------
+			n1 	: 	float
+				Refractive index at the wavelength of interest at the observer
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			g 	: 	array
+				List of values, corresponding to the gamma coefficients.
+				g[0] corresponds to g_1, g[1] to g_3, g[2] to g_5, and so on.
+		'''
+
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+
+		_chi0   = n1**2 - 1
+		_Khat 	= H / self.rc
+
+		_g1 = (1 - 5/24 * _Khat * _chi0**2 - 3/4 * _chi0 - 3/8 * _Khat**2 * _chi0 \
+			- _Khat - 6 * _Khat**3 + 5/8 * _chi0**2 + 63/128 * _chi0**4 + 3/8 \
+			* _Khat * _chi0 + 35/256 * _Khat * _chi0**3 + 2 * _Khat**2 + 5/36 \
+			* _Khat**2 * _chi0**2 - 35/64 * _chi0**3 + 9/16 * _Khat**3 * _chi0 \
+			- 120 * _Khat**5 + 24 * _Khat**4 - 231 / 512 * _chi0**5 - 63 / 640 \
+			* _Khat * _chi0**4 - 35 / 512 * _Khat**2 * _chi0**3 - 5 / 36 * _Khat**3\
+			* _chi0**2 - 9 / 8 * _Khat**4 * _chi0 )
+		
+		_g3 = (35/96 * _chi0**3 - 5/12 * _chi0**2 + 333 * _Khat**4 * _chi0 - 2400 \
+			* _Khat**5 + 3605/4608 * _Khat**2 * _chi0**3 + 63/256 * _Khat * _chi0**4\
+			 - 819/16 * _Khat**3 * _chi0 - 35/18 * _Khat**2 * _chi0**2 - 35/96 \
+			 * _Khat * _chi0**3 + 69/8 * _Khat**2 * _chi0 + 5/8 * _Khat * _chi0**2 \
+			 - 3/2 * _Khat * _chi0 + 1355/216 * _Khat**3 * _chi0**2 + 10 * _Khat**2 \
+			 + 336 * _Khat**4 - 2 * _Khat + _chi0/2 - 21/64 * _chi0**4 - 54 * _Khat**3 \
+			 + 77/256 * _chi0**5 ) * 1/2
+		
+		_g5 = (-96 * _Khat**3 + 8 * _Khat**2 - 7/24 * _chi0**3 + 65/4 * _Khat**2 \
+			* _chi0**2 + 35/48 * _Khat * _chi0**3 + 30 * _Khat**2 * _chi0 - 5/3 \
+			* _Khat * _chi0**2 - 3 * _Khat * _chi0 + 20091/8 * _Khat**4 * _chi0 \
+			- 32605/216 * _Khat**3 * _chi0**2 - 35/9 * _Khat**2 * _chi0**3 + 984 \
+			* _Khat**4 + _chi0**2/3 - 10200 * _Khat**5 - 77/320 * _chi0**5 + 21/80 \
+			* _chi0**4 - 1089/4 * _Khat**3 * _chi0 - 7/16 * _Khat * _chi0**4 ) * 3/8
+		
+		_g7 = (-17520 * _Khat**5 - 9/40 * _chi0**4 - 8755/12 * _Khat**3 * _chi0**2 \
+			+ 1056 * _Khat**4 + _chi0**3/4 + 23517/4 * _Khat**4 * _chi0 - 11/3 \
+			* _Khat * _chi0**2 + 21 * _Khat**2 * _chi0 - 7/4 * _Khat * _chi0**3 \
+			+ 505/9 * _Khat**2 * _chi0**2 - 801/2 * _Khat**3 * _chi0 + 33/160 \
+			* _chi0**5 - 48 * _Khat**3 + 63/80 * _Khat * _chi0**4 + 2345/96 \
+			* _Khat**2 * _chi0**3) * 5/16
+		
+		_g9 = (_chi0**4 / 5 + 384 * _Khat**4 - 13440 * _Khat**5 + 5562 * _Khat**4 \
+			* _chi0 + 3125/36 * _Khat**2 * _chi0**3 - 11/60 * _chi0**5 - 25/6 \
+			* _Khat * _chi0**3 - 26950/27 * _Khat**3 * _chi0**2 + 340/9 * _Khat**2 \
+			* _chi0**2 - 180 * _Khat**3 * _chi0 - 9/5 * _Khat * _chi0**4) * 35/128
+
+		g = np.array([_g1, _g3, _g5, _g7, _g9])
+		g*= n1*_chi0/2
+
+		return g		
+	
+
+	def H_isotherm(self, T):
+		'''
+			Calculates the reduced height of the atmosphere, 
+			assuming an isotherm distribution.
+
+			Parameters
+			----------
+			T 	: float
+				Atmospheric temperature in Kelvin
+
+			Returns
+			-------
+			H 	: float
+				Reduced height of the atmosphere in meters
+		'''
+		_kb = 1.38064852e-23 # kg m2 s-2 K-1
+		_m  = 4.809651698e-26 # kg (weight per molecule of air, assuming dry air)
+
+		_phi = np.deg2rad(self.lat)
+		_c1 = 5.2790414e-3
+		_c2 = 2.32718e-5
+		_c3 = 1.262e-7
+		_c4 = 7e-10
+		_g0 = 9.780327 # m/s^2
+		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
+
+		return (_kb*T) / (_m * _g0_local)
+
+
+	def matharExponential(self, n1, zenith, reduced_height=None):
+		'''
+			Model on atmospheric refraction described by Richard Mathar in 
+			"A Barometric Exponential Model of the Atmosphere’s Refractive Index:  ZenithAngles and Second Order Aberration in the Entrance Pupil" (2020)
+			ArXiv id: 2004.11808 (https://arxiv.org/abs/2004.11808)
+			
+			The code in this function is adapted from eqs 3, 16, 17 and 18 in this
+			work. It is an adaptation of the RefrExpo.cxx C++ file written by Mathar.
+
+			This model assumes the refractive index, n, is related to the susceptibility, 
+			chi, following: n(r) = sqrt(1+chi(r)) (eq. 9).
+
+			R. Mathar then assumes that the susceptibility is proportional to the
+			air density and reduced height, following eq. 10:
+			chi(r) = chi0 * exp(-(r-rho)/K).
+
+			The refraction is described using a Taylor expansion; R in terms of
+			the odd powers of the tangent of the observed zenith angle (eq. 3), not
+			unlike Oriani's theorem. This requires coefficients g_i.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest at the observer
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			R : float
+				Atmospheric refraction in degrees
+		'''
+
+		if reduced_height:
+			_H = reduced_height
+		else:
+			_H = self.H
+
+		_zenith	= np.deg2rad(zenith)
+		_rc 	= self.rc # rho
+
+		# Atmospheric refraction in radians
+		_gamma  = self.gammaCoefficients(n1, reduced_height=_H)
+		_R = sum([_gamma[i]*np.tan(_zenith)**(2*i+1) for i in range(len(_gamma))])
+		
+		return np.degrees(_R)	
+
+
+	def oriani(self, n1, zenith, reduced_height=None):
+		'''
+			Classic refraction formula with two tan(z) terms. This does not 
+			assume any information about the structure of the atmosphere. 
+			Found with Oriani's theorem.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			R : float
+				Atmospheric refraction in degrees
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+
+		_a = n1 - 1
+		_b = H / self.rc
+		_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) ) - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3
+		return np.degrees(_R)
+
+
+	def planeParallel(self, n1, zenith):
+		'''
+			Refraction based on a flat atmosphere, easily derived from Snell's law.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+
+			Returns
+			-------
+			R : float
+				Atmospheric refraction in degrees
+		'''
+		_R = np.arcsin(n * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
+		return np.degrees(_R)
+
+
+	def psi(self, x):
+		'''
+			Submethod for corbard(). Described explicitly in Corbard et al.,2019.
+
+			Parameters
+			----------
+			x 	: 	float
+				Input of the function
+
+			Returns
+			-------
+			y 	: 	float
+				Output of the function
+		'''
+		_f   = lambda a: np.exp(-a**2)
+		_int = integrate.quad(_f, x, np.inf)
+		return np.exp(x**2) * _int[0]
+
+
+	def refractionIntegral(self, n1, zenith, R0=None, useStandardAtmosphere=True,
+		heightData=None, rhoData=None):
+		'''
+			Using data that gives temperature, pressure and density as a 
+			function of height, the gladstone-dale relation is invoked to
+			calculate the path of a light ray along the atmosphere. 
+			This is allows us to also include atmospheric activity in 
+			different atmosphere layers.
+			Recommended use with the US Standard Atmosphere from 1976.
+			USSA1976 data generated from code supplied by http://www.pdas.com/atmos.html
+			The method described in eq. 3 in Auer & Standish (2000) is used for the 
+			calculation.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			R0 : float (optional)
+				Local radius of curvature of the Earth in km.
+			useStandardAtmosphere : bool
+				Flag to use the included USSA1976 data
+			heightData : 1D Array
+				If "useStandardAtmosphere" is False, the function will ask
+				for alternative atmospheric data to integrate over. This
+				gives the altitudinal points
+			rhoData : 1D Array
+				If useStandardAtmosphere is False, the function will ask
+				for alternative atmospheric data to integrate over. This
+				gives the atmospheric density at the points defined by 
+				"heightData".
+
+			Returns
+			-------
+			R : float
+				Atmospheric refraction in degrees
+
+		'''
+		if not R0:
+			R0 = self.rc
+		if useStandardAtmosphere:
+			_datafileLocation = os.path.join(os.path.dirname(__file__), 'data/1976USSA.txt')
+			_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt(_datafileLocation, unpack=True, skip_header=6)
+		else:
+			_Dens = rhoData
+			_h 	  = heightData
+
+		zenith 		= np.deg2rad(zenith)
+		_Dens 	= np.asarray(_Dens)
+		_h 	 	= np.asarray(_h) 
+		_R 		= R0 + _h * 1000
+		
+		# Gladstone-Dale relation between refractive index and density
+		_n_h = 1 + (n0 - 1) / _Dens[0] * _Dens 
+
+		# Calculation of the zenith angle for given height and refractive index, from the refractive invariant
+		_z 		= np.arcsin( (n0 * R0) / (_n_h * _R) * np.sin(zenith) )
+		
+		# Calculation of log space derivative of n and r
+		_lnn = np.log(_n_h)
+		_lnr = np.log(_R)
+		_dlnn = np.asarray([_lnn[i+1] - _lnn[i] for i in range(len(_lnn)-1)])
+		_dlnr = np.asarray([_lnr[i+1] - _lnr[i] for i in range(len(_lnr)-1)])
+		_dz   = np.asarray([(_z[i] - _z[i+1]) for i in range(len(_z)-1)])
+
+		# Calculation of the integrand in eq. 3 in Auer & Standish
+		_Integrand = -1*(_dlnn/_dlnr) / (1 + _dlnn/_dlnr) * _dz
+
+
+		return np.degrees(np.sum(_Integrand))
+
+
+	def setReducedHeight(self, p, rho):
+		'''
+			Sets the reduced atmospheric height.
+
+			Parameters
+			----------
+			p 	: float
+				Atmospheric pressure in Pascal
+			rho : float
+				Density of the atmospheric air at the observer
+		'''
+		self.H  	= self.set_H(p, rho) 		# Reduced height of the atmosphere assuming ideal gas law
+	
+
+	def set_H(self, p, rho):
+		'''
+			Calculates the reduced height of the atmosphere, assuming ideal gas law.
+
+			Parameters
+			----------
+			p 	: float
+				Atmospheric pressure in Pascal
+			rho : float
+				Density of the atmospheric air at the observer
+
+			Returns
+			-------
+			H 	: float
+				Reduced height of the atmosphere in meters
+		'''
+		_phi = np.deg2rad(self.lat)
+		_c1 = 5.2790414e-3
+		_c2 = 2.32718e-5
+		_c3 = 1.262e-7
+		_c4 = 7e-10
+		_g0 = 9.780327 # m/s^2
+		_g0_local = _g0 * (1 + _c1 * np.sin(_phi)**2 + _c2 * np.sin(_phi)**4 + _c3 * np.sin(_phi)**6 + _c4 * np.sin(_phi)**8)
+		_g = _g0_local - (3.0877e-6 - 4.3e-9 * np.sin(_phi)**2) * self.h + 7.2e-13 * self.h**2
+		return p / (rho * _g)
+
+
+	def set_rc(self):
+		'''
+			Returns the radius of the curvature at the observer in km,
+			taking into account the latitude of the observer and the corresponding
+			ellipsoidality of the earth.
+
+			Returns
+			-------
+			rc 	: float
+				Local radius of curvature of the Earth in kilometers.
+		'''
+		_A   = 6378.137 # km
+		_B   = 6356.752 # km
+		_phi = np.deg2rad(self.lat)
+		
+		_rc0 = (_A*_B)**2 / (_A**2 * np.cos(_phi)**2 + _B**2 * np.sin(_phi)**2)**(3/2)
+		return _rc0 + self.h/1000
+
+
+	def tan5(self, n1, zenith, reduced_height=None):
+		'''
+			Same as oriani's theorem, but including a higher order term.
+			Found in Corbard et al., 2019.
+
+			Parameters
+			----------
+			n1 : float
+				Refractive index at the wavelength of interest
+			zenith : float
+				Angle of observation in degrees.
+				zenith = 0 means the observation is directly overhead.
+			reduced_height : float (optional)
+				Reduced height of the atmosphere. Default value is calculated
+				from the object attributes.
+
+			Returns
+			-------
+			R : float
+				Atmospheric refraction in degrees
+		'''
+		if reduced_height:
+			H = reduced_height
+		else:
+			H = self.H
+		
+		_a = n1 - 1
+		_b = H / self.rc
+		_R = _a * (1 - _b) * np.tan( np.deg2rad(zenith) )  - _a * (_b - _a/2) * np.tan( np.deg2rad(zenith) )**3 + 3 * _a * (_b - _a/2)**2 * np.tan( np.deg2rad(zenith) )**5
+		return np.degrees(_R)
+

README.md

@@ -2,7 +2,7 @@
 
 **Note:**
 It would be appreciated if a reference to the following work, for which this package was originally build, is included whenever this code is used for a publication: 
-*Quantification of the expected residual dispersion of the MICADO Near-IR imaging instrument*, van den Born & Jellema, 2020, MNRAS. Accepted 2020 June 23. Received 2020 June 23; in original form 2020 January 24.
+*Quantification of the expected residual dispersion of the MICADO Near-IR imaging instrument*, van den Born & Jellema, 2020, MNRAS, DOI: [10.1093/mnras/staa1870](https://doi.org/10.1093/mnras/staa1870).
 
 
 **Author info**: *Joost van den Born*, *born@astron.nl*
@@ -41,7 +41,7 @@ disp = dispersion(lat, h)
 disp.setReducedHeight(P, rho)
 
 # Calculation of the atmopheric dipsersion
-atm_dispersion = ref.cassini(n1, z0) * 3.6e6
+atm_dispersion = disp.cassini(n1, z0) * 3.6e6
 print ('The dispersion is %.03f milli arc seconds' %(atm_dispersion))
 ```
 
@@ -95,6 +95,7 @@ The available models in this package:
 - `oriani()` - Oriani's theorem ( Atan(z) + Btan^3(z) )
 - `tan5()` - Oriani's theorem expanded ( Atan(z) + Btan^3(z) + Ctan^5(z)  )
 - `corbard()` - Error function refraction model
+- `matharExponential()` - Barometric exponential model by R. Mathar.
 
 
 Input parameters for the spherical atmosphere models (all but the first):

scripts/ADC.py

@@ -10,8 +10,10 @@ class ADC:
 		self.p3 = prism('S-FPL51', 15, wedge[2], wedge[1])
 		self.p4 = prism('S-LAH71', 15, wedge[1], wedge[0])
 		self.theta 	= 90
+		self.FR 	= 0
 
 	def setOrientation(self, theta):
+		theta = float(theta)
 		self.p1.setPrismOrientation(theta)
 		self.p2.setPrismOrientation(theta)
 		self.p3.setPrismOrientation(180-1*theta)
@@ -19,10 +21,12 @@ class ADC:
 		self.theta = theta
 
 	def setFieldRotation(self, FR):
+		FR = float(FR)
 		self.p1.setPrismOrientation(self.theta-FR)
 		self.p2.setPrismOrientation(self.theta-FR)
 		self.p3.setPrismOrientation(180-1*self.theta-FR)
 		self.p4.setPrismOrientation(180-1*self.theta-FR)
+		self.FR = FR
 
 	def calculateDispersion(self, l1, l2, hx=0, hy=0, refraction=False):
 		'''
@@ -96,6 +100,7 @@ class prism:
 		self.tilt1y 	= 0
 		self.tilt2x		= tilt2
 		self.tilt2y 	= 0
+		self.theta 		= 90
 
 		# Remember original tilts for reset:
 		self.tilt1x_OG	= tilt1
@@ -116,7 +121,7 @@ class prism:
 	def setPrismOrientation(self, theta):
 		self.tilt1x, self.tilt1y = tiltRotation(self.tilt1x_OG, self.tilt1y_OG, theta)
 		self.tilt2x, self.tilt2y = tiltRotation(self.tilt2x_OG, self.tilt2y_OG, theta)
-	
+		self.theta = theta
 
 
 def tiltRotation(tx,ty, theta):

setup.py

@@ -21,14 +21,14 @@ def setup_package():
     # write_version_py()
 
     setup(name='AstroAtmosphere',
-          version='1.0',
+          version='1.1',
           description='Collection of equations for refractive index, refraction and dispersion calculations of atmospheric air.',
           long_description=__readme__,
           long_description_content_type='text/markdown',
           author='Joost van den Born',
           author_email='born@astron.nl',
           url='https://gitlab.astro-wise.org/micado/atmosphericmodel',
-          download_url='https://gitlab.astro-wise.org/micado/atmosphericmodel/-/archive/v_10/atmosphericmodel-v_10.tar.gz',
+          download_url='https://gitlab.astro-wise.org/micado/atmosphericmodel/-/archive/v1.1/atmosphericmodel-v1.1.tar.gz',
           license='GNU General Public License v3',
           data_files = [('',['LICENSE.txt'])],
           package_dir={'AstroAtmosphere': 'AstroAtmosphere'},