trivial modification
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@ -12,6 +12,8 @@ from .ussa76 import ussa76
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from ..utils import Const
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from ..utils.utils import alt_conver,check_altitude
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from ..class_atmos import ATMOS
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def coesa76(alts, alt_type='geometric'):
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'''
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Implements the U.S. Committee on Extension to the Standard Atmosphere(COESA 1976).
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@ -27,7 +29,7 @@ def coesa76(alts, alt_type='geometric'):
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Ts -> [float] temperatures ..., [K]
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Ps -> [float] pressures ..., [Pa]
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Note: the geometric altitudes should be in [-0.610,1000] km, otherwise the output will be extrapolated for those input altitudes.
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Note: the geometric altitudes should be in [-0.611,1000] km, otherwise the output will be extrapolated for those input altitudes.
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Reference:
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U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, Washington, D.C.
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@ -43,7 +45,7 @@ def coesa76(alts, alt_type='geometric'):
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data = np.load(data_path+'coesa76_coeffs.npz')
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rho_coeffs,p_coeffs = data['rho'],data['p']
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r0 = Const.r0 # volumetric radius for the Earth, [km]
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R0 = Const.R0 # volumetric radius for the Earth, [km]
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# Get geometric and geopotential altitudes
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zs,hs = alt_conver(alts, alt_type)
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@ -67,7 +69,7 @@ def coesa76(alts, alt_type='geometric'):
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elif z > zb[3] and z <= zb[4]:
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T = 240 + 12 * (z - 110)
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else:
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epsilon = (z - 120) * (r0 + 120) / (r0 + z)
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epsilon = (z - 120) * (R0 + 120) / (R0 + z)
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T = 1e3 - 640 * np.exp(-0.01875 * epsilon)
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ind = np.where((z - zb) >= 0)[0][-1]
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@ -81,5 +83,7 @@ def coesa76(alts, alt_type='geometric'):
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rhos[j],Ts[j],Ps[j] = rho,T,P
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j += 1
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info = {'rho':rhos,'T':Ts,'P':Ps}
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return rhos,Ts,Ps
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return ATMOS(info)
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@ -1,16 +1,15 @@
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import numpy as np
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from ..utils.utils import alt_conver,check_altitude
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from ..class_atmos import ATMOS
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def expo(alts,alt_type='geometric'):
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'''
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Estimate the air densities at given geometric or geopotential altitudes
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above the sea level using a exponential atmosphere model from
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Vallado, D. A. (2013). Fundamentals of astrodynamics and applications (4th Edition). Microcosm Press.
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Estimate the mass densities at given geometric or geopotential altitudes
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above the sea level using a exponential atmosphere model.
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Usage:
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rhos = expo(alts)
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or
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rhos = expo(alts,'geopotential')
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Inputs:
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@ -23,7 +22,7 @@ def expo(alts,alt_type='geometric'):
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rhos -> [float array] densities at given altitudes, [kg/m^3]
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Reference:
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Vallado, D. A. (2013). Fundamentals of astrodynamics and applications (4th Edition). Microcosm Press.
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'''
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# Get geometric and geopotential altitudes
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@ -57,6 +56,8 @@ def expo(alts,alt_type='geometric'):
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for i in range(len(zs)):
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inds[i] = np.where((zs[i] - zb_expand) >= 0)[0][-1]
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rhos = rhob[inds]*np.exp(-(zs-zb[inds])/ZS[inds])
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rhos = rhob[inds]*np.exp(-(zs-zb[inds])/ZS[inds])
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info = {'rho':rhos}
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return rhos
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return ATMOS(info)
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