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Updated documentation, descriptions for v1.0 release.
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#!/usr/bin/env python
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""" Tables.py - Make tables of atmospheric properties (Python 3)
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Adapted by
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Richard J. Kwan, Lightsaber Computing
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from original programs by
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Ralph L. Carmichael, Public Domain Aeronautical Software
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Revision History
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Date Vers Person Statement of Changes
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2004 Oct 04 1.0 RJK Initial program
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2017 Jun 04 1.1 RLC All indents are with spaces; all prints in ( )
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New version for Python 3 that does integer div with //
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"""
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import sys, math
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version = "1.1 (2017 Jun 04)"
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greeting = "Tables - A Python program to compute atmosphere tables"
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author = "Ralph L. Carmichael, Public Domain Aeronautical Software"
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modifier = "Richard J. Kwan, Lightsaber Computing"
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farewell = "Four files added to your directory."
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finalmess = "Normal termination of tables."
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# P H Y S I C A L C O N S T A N T S
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FT2METERS = 0.3048 # mult. ft. to get meters (exact)
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KELVIN2RANKINE = 1.8 # mult deg K to get deg R
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PSF2NSM = 47.880258 # mult lb/sq.ft to get sq.m
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SCF2KCM = 515.379 # mult slugs/cu.ft to get kg/cu.m
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TZERO = 288.15 # sea-level temperature, kelvins
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PZERO = 101325.0 # sea-level pressure, N/sq.m
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RHOZERO = 1.225 # sea-level density, kg/cu.m
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AZERO = 340.294 # speed of sound at S.L. m/sec
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BETAVISC = 1.458E-6 # viscosity constant
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SUTH = 110.4 # Sutherland's constant, kelvins
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def LongUSTable():
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Itxt = open('us1py.prt', 'w')
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Itxt.write(' alt sigma delta theta ')
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Itxt.write(' temp press dens a visc k.visc\n')
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Itxt.write(' Kft ')
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Itxt.write(' degR lb/sq.ft s/cu.ft fps s/ft-s sq.ft/s\n')
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for i in range(-1, 57):
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altKm=5*i*FT2METERS
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(sigma, delta, theta) = Atmosphere(altKm)
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Itxt.write("%4i %9.3E %9.3E %6.4f " %
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(5*i, sigma, delta, theta))
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temp=(KELVIN2RANKINE*TZERO)*theta
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pressure=(PZERO/PSF2NSM)*delta
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density=(RHOZERO/SCF2KCM)*sigma
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asound=(AZERO/FT2METERS)*math.sqrt(theta)
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Itxt.write("%5.1f %8.3E %9.3E %6.1f" %
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(temp, pressure, density, asound))
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viscosity=(1.0/PSF2NSM)*MetricViscosity(theta)
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kinematicViscosity=viscosity/density
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Itxt.write("%6.3f %8.2E\n" %
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(1.0E6*viscosity, kinematicViscosity))
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Itxt.close()
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def ShortUSTable():
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Itxt = open('us2py.prt', 'w')
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Itxt.write(' alt sigma delta theta ')
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Itxt.write(' temp press dens a visc k.visc ratio\n')
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Itxt.write(' Kft ')
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Itxt.write(' degR psf s/cu.ft fps s/ft-sec sq.ft/s 1/ft\n')
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for i in range(-1, 66):
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altKm=i*FT2METERS
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(sigma, delta, theta) = SimpleAtmosphere(altKm)
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Itxt.write("%4i %6.4f %6.4f %6.4f" %
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(i, sigma, delta, theta))
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temp=KELVIN2RANKINE*TZERO*theta
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pressure=PZERO*delta/47.88
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density=RHOZERO*sigma/515.379
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asound=(AZERO/FT2METERS)*math.sqrt(theta);
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Itxt.write("%6.1f %6.1f %9.7f %6.1f" %
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(temp, pressure, density, asound))
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viscosity=(1.0/PSF2NSM)*MetricViscosity(theta)
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kinematicViscosity=viscosity/density
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vratio=asound/kinematicViscosity
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Itxt.write("%6.3f %8.2E %4.2f\n"%
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(1.0E6*viscosity, kinematicViscosity, 1.0E-6*vratio))
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Itxt.close()
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def LongSITable():
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Itxt = open('si1py.prt', 'w')
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Itxt.write(' alt sigma delta theta ')
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Itxt.write(' temp press dens a visc k.visc\n')
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Itxt.write(' Km ')
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Itxt.write(' K N/sq.m kg/cu.m m/sec kg/m-s sq.m/s\n')
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for i in range(-4,173):
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altKm=0.5*i
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(sigma, delta, theta) = Atmosphere(altKm)
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Itxt.write("%4.1f %8.4E %8.4E %6.4f" %
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(0.5*i, sigma,delta,theta))
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temp=TZERO*theta
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pressure=PZERO*delta
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density=RHOZERO*sigma
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asound=AZERO*math.sqrt(theta)
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Itxt.write("%6.1f %8.5E %8.3E %5.1f" %
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(temp,pressure,density,asound))
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viscosity=MetricViscosity(theta)
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kinematicViscosity=viscosity/density
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Itxt.write("%6.2f %8.2E\n" %
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(1.0E6*viscosity, kinematicViscosity))
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Itxt.close()
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def ShortSITable():
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Itxt = open('si2py.prt', 'w')
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Itxt.write(' alt sigma delta theta ')
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Itxt.write(' temp press dens a visc k.visc ratio\n')
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Itxt.write(' Km ')
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Itxt.write(' K N/sq.m kcm m/sec kg/m-s sq.m/s 1/m\n')
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for i in range(-1, 41):
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altKm=0.5*i
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(sigma, delta, theta) = SimpleAtmosphere(altKm)
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Itxt.write("%4.1f %6.4f %6.4f %6.4f" %
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(altKm, sigma, delta, theta))
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temp=TZERO*theta
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pressure=PZERO*delta
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density=RHOZERO*sigma
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asound=AZERO*math.sqrt(theta)
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Itxt.write("%6.1f %6.0f %5.3f %5.1f" %
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(temp, pressure,density,asound))
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viscosity=MetricViscosity(theta)
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kinematicViscosity=viscosity/density
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vratio=asound/kinematicViscosity
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Itxt.write("%6.2f %8.2E %5.2f\n" %
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(1.0E6*viscosity, kinematicViscosity, 1.0E-6*vratio))
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Itxt.close()
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def Atmosphere(alt):
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""" Compute temperature, density, and pressure in standard atmosphere.
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Correct to 86 km. Only approximate thereafter.
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Input:
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alt geometric altitude, km.
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Return: (sigma, delta, theta)
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sigma density/sea-level standard density
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delta pressure/sea-level standard pressure
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theta temperature/sea-level std. temperature
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"""
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REARTH = 6369.0 # radius of the Earth (km)
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GMR = 34.163195
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NTAB = 8 # length of tables
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htab = [ 0.0, 11.0, 20.0, 32.0, 47.0,
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51.0, 71.0, 84.852 ]
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ttab = [ 288.15, 216.65, 216.65, 228.65, 270.65,
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270.65, 214.65, 186.946 ]
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ptab = [ 1.0, 2.2336110E-1, 5.4032950E-2, 8.5666784E-3, 1.0945601E-3,
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6.6063531E-4, 3.9046834E-5, 3.68501E-6 ]
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gtab = [ -6.5, 0.0, 1.0, 2.8, 0, -2.8, -2.0, 0.0 ]
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h = alt*REARTH/(alt+REARTH) # geometric to geopotential altitude
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i=0; j=len(htab)-1
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while (j > i+1):
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k = (i+j)//2 # this is floor division in Python 3
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if h < htab[k]:
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j = k
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else:
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i = k
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tgrad = gtab[i] # temp. gradient of local layer
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tbase = ttab[i] # base temp. of local layer
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deltah=h-htab[i] # height above local base
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tlocal=tbase+tgrad*deltah # local temperature
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theta = tlocal/ttab[0] # temperature ratio
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if 0.0 == tgrad:
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delta=ptab[i]*math.exp(-GMR*deltah/tbase)
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else:
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delta=ptab[i]*math.pow(tbase/tlocal, GMR/tgrad)
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sigma = delta/theta
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return ( sigma, delta, theta )
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def SimpleAtmosphere(alt):
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""" Compute temperature, density, and pressure in simplified
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standard atmosphere.
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Correct to 20 km. Only approximate thereafter.
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Input:
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alt geometric altitude, km.
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Return: (sigma, delta, theta)
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sigma density/sea-level standard density
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delta pressure/sea-level standard pressure
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theta temperature/sea-level std. temperature
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"""
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REARTH = 6369.0 # radius of the Earth (km)
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GMR = 34.163195 # gas constant
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h = alt*REARTH/(alt+REARTH) # geometric to geopotential altitude
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if h<11.0: # troposphere
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theta=(288.15-6.5*h)/288.15
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delta=math.pow(theta, GMR/6.5)
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else: # stratosphere
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theta=216.65/288.15
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delta=0.2233611*math.exp(-GMR*(h-11.0)/216.65)
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sigma = delta/theta
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return ( sigma, delta, theta )
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def MetricViscosity(theta):
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t=theta*TZERO
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return BETAVISC*math.sqrt(t*t*t)/(t+SUTH)
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def main():
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print ("Executing ", sys.argv[0])
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print (greeting)
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print (author)
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if modifier != "":
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print ("Modified by ", modifier)
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print (" version ", version)
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LongUSTable()
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ShortUSTable()
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LongSITable()
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ShortSITable()
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print (farewell)
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print (finalmess)
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main()
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@@ -0,0 +1,242 @@
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#!/usr/bin/env Python3
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.lines import Line2D
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from matplotlib import cm
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from matplotlib.colors import LogNorm
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import sys
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from AstroAtmosphere import *
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from scipy import interpolate
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'''
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@ Author: Joost van den Born
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@ Contact: born@astron.nl
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@ Description: This script uses the US Standard Atmosphere and perturbs it
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at several points. Then full integration is used to calculate
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the atmospheric dispersion. This is then compared to when we
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would have only used the atmospheric conditions directly at
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the observatory. This is done to assess whether we should
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monitor the weather at every height along the line of sight of
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the telescope.
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'''
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def perturbAtmosphere(h, Temp_perturbed, Press_perturbed):
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for _i in range(len(h)):
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if h[_i] >= 1.0 and h[_i] <= 2.0:
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Tnoise = np.random.normal(0,5,1)
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Temp_perturbed[_i] = Temp_perturbed[_i] + Tnoise
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Pnoise = np.random.normal(0,1000,1)
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Press_perturbed[_i] = Press_perturbed[_i] + Pnoise
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if h[_i] >= 7.0 and h[_i] <= 10.0:
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Tnoise = np.random.normal(0,5,1)
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Temp_perturbed[_i] = Temp_perturbed[_i] + Tnoise
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Pnoise = np.random.normal(0,500,1)
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Press_perturbed[_i] = Press_perturbed[_i] + Pnoise
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if h[_i] >= 25.0 and h[_i] <= 30.0:
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Tnoise = np.random.normal(0,10,1)
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Temp_perturbed[_i] = Temp_perturbed[_i] + Tnoise
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Pnoise = np.random.normal(0,250,1)
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Press_perturbed[_i] = Press_perturbed[_i] + Pnoise
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if h[_i] >= 50.0 and h[_i] <= 60.0:
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Tnoise = np.random.normal(0,15,1)
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Temp_perturbed[_i] = Temp_perturbed[_i] + Tnoise
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Pnoise = np.random.normal(0,4,1)
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Press_perturbed[_i] = Press_perturbed[_i] + Pnoise
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return Temp_perturbed, Press_perturbed
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plt.rc('font', family='serif')
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plt.rc('axes', labelsize='large')
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h, _, _, _, Temp, Press, Dens, vSound, _,_ = np.genfromtxt('si1py_modified.txt', unpack=True, skip_header=6)
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# Conditions at Cerro Armazones
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T = 288.15 # k
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P = 101324 # Pa
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H = 0.0
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xc = 314 # ppm
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lat = -24.5983 # degrees
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h0 = 0 # m
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l1 = 1.49 # micron
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l2 = 1.78 # micron
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zenith = 60 # degrees
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# Calculate the index of refraction
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at = Observatory()
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n1 = at.n_tph(l=l1, T=T, p=P, RH=H, xc=xc)
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n2 = at.n_tph(l=l2, T=T, p=P, RH=H, xc=xc)
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rho = at.rho(p=P, T=T, RH=H, xc=xc)
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refr = refraction(lat, h0)
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refr.setReducedHeight(P, rho)
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disp = dispersion(lat, h0)
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disp.setReducedHeight(P, rho)
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# We must create a cube of weather data:
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# We assume a flat atmosphere for now, so that h does not need to be adjusted
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# x_max = 200 km, gives zenith_max = ~66.7 degrees
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# Every 20 km in horizontal direction a new perturbation and interpolation
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# for every 500 m.
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x_max = 200 # km
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Temp_cube = []
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Press_cube = []
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Temp_cube_n = []
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Press_cube_n = []
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Temp_cube.append(Temp)
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Press_cube.append(Press)
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Temp_cube_n.append(Temp)
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Press_cube_n.append(Press)
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for x in range(int(x_max/(2))):
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# Adding noise
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# 1-2 km: 2 degree noise, 100 Pa noise
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# 7-10 km: 3 degree noise, 150 Pa noise
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# 25-30 km: 5 degree noise, 250 Pa noise
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Temp_perturbed = Temp.copy()
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Press_perturbed = Press.copy()
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Temp_perturbed, Press_perturbed = perturbAtmosphere(h, Temp_perturbed, Press_perturbed)
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Temp_cube.append(Temp_perturbed)
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Press_cube.append(Press_perturbed)
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Temp_cube_n.append(Temp)
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Press_cube_n.append(Press)
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f_Temp_n = interpolate.interp1d(np.linspace(0,x_max, int(x_max/2)+1), Temp_cube_n, axis=0)
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f_Press_n = interpolate.interp1d(np.linspace(0,x_max, int(x_max/2)+1), Press_cube_n, axis=0)
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f_Temp = interpolate.interp1d(np.linspace(0,x_max, int(x_max/2)+1), Temp_cube, axis=0)
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f_Press = interpolate.interp1d(np.linspace(0,x_max, int(x_max/2)+1), Press_cube, axis=0)
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Temp_interpolated_n = f_Temp_n(np.linspace(0,x_max, int(x_max/0.5)+1) )
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Press_interpolated_n = f_Press_n(np.linspace(0,x_max, int(x_max/0.5)+1) )
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Temp_interpolated = f_Temp(np.linspace(0,x_max, int(x_max/0.5)+1) )
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Press_interpolated = f_Press(np.linspace(0,x_max, int(x_max/0.5)+1) )
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x, y = np.mgrid[0:200:(int(x_max/0.5)+1)*1j, 0:np.max(h):len(h)*1j]
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fig = plt.figure()
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ax1 = fig.add_subplot(211)
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im = ax1.pcolor(x,y, Temp_interpolated, cmap=cm.coolwarm)
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fig.colorbar(im, ax=ax1, label='Temperature (K)')
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ax1.set_aspect(1)
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ax1.set_ylabel('Height (km)')
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ax2 = fig.add_subplot(212)
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im2 = ax2.pcolor(x,y, Press_interpolated, cmap=cm.coolwarm, norm=LogNorm())
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ax2.set_aspect(1)
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ax2.set_xlabel('Horizontal distance (km)')
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ax2.set_ylabel('Height (km)')
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fig.colorbar(im2, ax=ax2, label='Pressure (Pa)')
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plt.tight_layout()
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plt.savefig('2d_atmosphere.png', bbox_inches='tight')
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plt.savefig('2d_atmosphere.pdf', bbox_inches='tight')
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plt.show(block=False)
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||||
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||||
# Now for a given zenith angle we need to find the temp and press along the line of sight
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x = np.linspace(0,200,(int(x_max/0.5)+1))
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y = h
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f_Temp_2d_n = interpolate.interp2d(y,x,Temp_interpolated_n, kind='linear')
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f_Press_2d_n = interpolate.interp2d(y,x,Press_interpolated_n, kind='linear')
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f_Temp_2d = interpolate.interp2d(y,x,Temp_interpolated, kind='linear')
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f_Press_2d = interpolate.interp2d(y,x,Press_interpolated, kind='linear')
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||||
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||||
fig2 = plt.figure()
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ax = fig2.add_subplot(121)
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||||
ax.grid(True, alpha=0.3)
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||||
ax.plot(Temp, h, 'k-')
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||||
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||||
ax2 = fig2.add_subplot(122)
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||||
ax2.grid(True, alpha=0.3)
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||||
ax2.plot(Press, h, 'k-')
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||||
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||||
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||||
zenithRange = np.linspace(30,65,100)
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||||
refrDiff, dispDiff = [], []
|
||||
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||||
for zenith in zenithRange:
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||||
z = np.deg2rad(zenith)
|
||||
y_los = np.linspace(0, 86, len(h))
|
||||
x_los = np.linspace(0, 86*np.tan(z), len(h))
|
||||
|
||||
Temp_los, Press_los = [], []
|
||||
Temp_los_n, Press_los_n = [], []
|
||||
for i in range(len(h)):
|
||||
Temp_los.append(f_Temp_2d(y_los[i], x_los[i])[0])
|
||||
Press_los.append(f_Press_2d(y_los[i], x_los[i])[0])
|
||||
Temp_los_n.append(f_Temp_2d_n(y_los[i], x_los[i])[0])
|
||||
Press_los_n.append(f_Press_2d_n(y_los[i], x_los[i])[0])
|
||||
|
||||
Temp_los = np.asarray(Temp_los)
|
||||
Press_los = np.asarray(Press_los)
|
||||
Temp_los_n = np.asarray(Temp_los_n)
|
||||
Press_los_n = np.asarray(Press_los_n)
|
||||
rho_los = at.rho(p=Press_los, T=Temp_los, RH=H, xc=xc)
|
||||
rho_los_n = at.rho(p=Press_los_n, T=Temp_los_n, RH=H, xc=xc)
|
||||
|
||||
ax.plot(Temp_los, h, label='z=%i' %zenith)
|
||||
ax2.plot(Press_los, h, label='z=%i' %zenith)
|
||||
|
||||
refrInt = refr.refractionIntegral(n1, z, useStandardAtmosphere=False, heightData=h, rhoData=rho_los_n)*3600*1000
|
||||
refrInt_pert = refr.refractionIntegral(n1, z, useStandardAtmosphere=False, heightData=h, rhoData=rho_los)*3600*1000
|
||||
refrDiff.append(refrInt_pert - refrInt)
|
||||
|
||||
dispInt = disp.refractionIntegral(n1, n2, z, useStandardAtmosphere=False, heightData=h, rhoData=rho_los_n)*3.6e6
|
||||
dispInt_pert = disp.refractionIntegral(n1, n2, z, useStandardAtmosphere=False, heightData=h, rhoData=rho_los)*3.6e6
|
||||
dispDiff.append(dispInt_pert - dispInt)
|
||||
|
||||
ax.legend()
|
||||
ax2.legend()
|
||||
|
||||
|
||||
|
||||
# fig3 = plt.figure()
|
||||
# ax1 = fig3.add_subplot(211)
|
||||
# ax2 = fig3.add_subplot(212)
|
||||
# ax1.tick_params(axis ='both', direction='in')
|
||||
# ax2.tick_params(axis ='both', direction='in')
|
||||
# ax1.grid(True, alpha=0.3)
|
||||
# ax2.grid(True, alpha=0.3)
|
||||
# ax1.semilogy(zenithRange, np.abs(refrDiff), 'k-')
|
||||
# ax2.semilogy(zenithRange, np.abs(dispDiff), 'k-')
|
||||
# ax1.set_xlabel('Zenith (degrees)')
|
||||
# ax2.set_xlabel('Zenith (degrees)')
|
||||
# ax1.set_ylabel('|$R_{p} - R_{SA}$| (mas)')
|
||||
# ax2.set_ylabel('|$\Delta R_{p} - \Delta R_{SA}$| (mas)')
|
||||
# plt.tight_layout()
|
||||
# plt.savefig('differential_USSA_for_different_z.png', bbox_inches='tight')
|
||||
# plt.savefig('differential_USSA_for_different_z.pdf', bbox_inches='tight')
|
||||
# plt.show()
|
||||
|
||||
fig3 = plt.figure(figsize=(9,7))
|
||||
ax1 = fig3.add_subplot(211)
|
||||
ax2 = fig3.add_subplot(212)
|
||||
ax1.tick_params(axis ='both', direction='in', which='both', labelsize=16)
|
||||
ax2.tick_params(axis ='both', direction='in', which='both', labelsize=16)
|
||||
ax1.grid(True, alpha=0.3)
|
||||
ax2.grid(True, alpha=0.3)
|
||||
|
||||
|
||||
ax1.plot(zenithRange, np.log10(np.abs(refrDiff)), 'k-', linewidth=2)
|
||||
ax2.plot(zenithRange, np.log10(np.abs(dispDiff)), 'k-', linewidth=2)
|
||||
ax1.set_xlabel('Zenith (degrees)', fontsize=18)
|
||||
ax2.set_xlabel('Zenith (degrees)', fontsize=18)
|
||||
ax1.set_ylabel('$\log_{10}($|$R - R_{o}$|$)$ (mas)', fontsize=18)
|
||||
ax2.set_ylabel('$\log_{10}($|$\Delta R - \Delta R_{o}$|$)$ (mas)', fontsize=18)
|
||||
plt.tight_layout()
|
||||
# plt.savefig('differential_USSA_for_different_z.png', bbox_inches='tight')
|
||||
# plt.savefig('differential_USSA_for_different_z.pdf', bbox_inches='tight')
|
||||
plt.show()
|
||||
|
||||
|
||||
|
||||
|
||||
# Comparison of different air columns.
|
||||
|
||||
|
||||
@@ -0,0 +1,91 @@
|
||||
#!/usr/bin/env Python3
|
||||
import numpy as np
|
||||
from pdb import set_trace
|
||||
import matplotlib.pyplot as plt
|
||||
from matplotlib.lines import Line2D
|
||||
import sys
|
||||
from AstroAtmosphere import *
|
||||
|
||||
'''
|
||||
@ Author: Joost van den Born
|
||||
@ Contact: born@astron.nl
|
||||
@ Description: We plot the total refraction as a function of height.
|
||||
We find that most refraction happens in the lower atmosphere
|
||||
i.e. <10 km.
|
||||
'''
|
||||
|
||||
def refractionIntegral2(n, R, z0, n0, R0):
|
||||
z0 = np.deg2rad(z0)
|
||||
return (n0 * R0 * np.sin(z0))/(n*np.sqrt((n*R)**2 - (n0 * R0 * np.sin(z0))**2 ))
|
||||
|
||||
def n_for_heights(n0, 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
|
||||
'''
|
||||
if useStandardAtmosphere:
|
||||
_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt('si1py_modified.txt', 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
|
||||
_z_h = np.arcsin( (n0 * R0) / (_n_h * _R) * np.sin(z0) )
|
||||
|
||||
return _h, _n_h, np.degrees(_z_h)
|
||||
|
||||
|
||||
h, _, _, _, Temp, Press, Dens, vSound, _,_ = np.genfromtxt('si1py_modified.txt', unpack=True, skip_header=6)
|
||||
|
||||
|
||||
# Conditions
|
||||
T = 288.15 # k
|
||||
P = 101324 # Pa
|
||||
H = 0.0
|
||||
xc = 314 # ppm
|
||||
lat = -24.5983 # degrees
|
||||
h0 = 0 # m
|
||||
l1 = 1.49 # micron
|
||||
l2 = 1.78 # micron
|
||||
zenith = 60 # degrees
|
||||
|
||||
# Calculate the index of refraction
|
||||
at = Observatory()
|
||||
n1 = at.n_tph(l=l1, T=T, p=P, RH=H, xc=xc)
|
||||
n2 = at.n_tph(l=l2, T=T, p=P, RH=H, xc=xc)
|
||||
rho = at.rho(p=P, T=T, RH=H, xc=xc)
|
||||
|
||||
refr = refraction(lat, h0)
|
||||
refr.setReducedHeight(P, rho)
|
||||
disp = dispersion(lat, h0)
|
||||
disp.setReducedHeight(P, rho)
|
||||
|
||||
|
||||
fig = plt.figure(figsize=(5,4))
|
||||
ax = fig.add_subplot(111)
|
||||
ax.grid(True, alpha=0.3)
|
||||
ax.set_xlabel('Height (km)')
|
||||
ax.set_ylabel('Normalized cumulative refraction')
|
||||
ax.set_xlim([0, h[-1]])
|
||||
|
||||
for z in [30]:
|
||||
refList = []
|
||||
dispList = []
|
||||
for i in range(len(h)):
|
||||
refList.append(refr.refractionIntegral(n1, z, useStandardAtmosphere=False, heightData=h[:i+1], rhoData=Dens[:i+1])*3600)
|
||||
dispList.append(disp.refractionIntegral(n1, n2, z, useStandardAtmosphere=False, heightData=h[:i+1], rhoData=Dens[:i+1])*3.6e6)
|
||||
|
||||
ax.plot(h, np.asarray(refList)/refList[-1], 'k-', label='$\lambda=1.49$ $\mu$m, z=%i$^{\\circ}$' %z)
|
||||
ax.set_ylim([0,1.1])
|
||||
|
||||
plt.tight_layout()
|
||||
plt.show()
|
||||
@@ -0,0 +1,179 @@
|
||||
alt sigma delta theta temp press dens a visc k.visc
|
||||
Km K N/sq.m kg/cu.m m/sec kg/m-s sq.m/s
|
||||
-2.0 1.2067E+00 1.2611E+00 1.0451 301.2 1.27783E+05 1.478E+00 347.9 18.51 1.25E-05
|
||||
-1.5 1.1522E+00 1.1912E+00 1.0338 297.9 1.20696E+05 1.411E+00 346.0 18.36 1.30E-05
|
||||
-1.0 1.0996E+00 1.1244E+00 1.0226 294.7 1.13931E+05 1.347E+00 344.1 18.21 1.35E-05
|
||||
-0.5 1.0489E+00 1.0607E+00 1.0113 291.4 1.07478E+05 1.285E+00 342.2 18.05 1.40E-05
|
||||
0.0 1.0000E+00 1.0000E+00 1.0000 288.1 1.01325E+05 1.225E+00 340.3 17.89 1.46E-05
|
||||
0.5 9.5288E-01 9.4213E-01 0.9887 284.9 9.54613E+04 1.167E+00 338.4 17.74 1.52E-05
|
||||
1.0 9.0748E-01 8.8701E-01 0.9774 281.7 8.98763E+04 1.112E+00 336.4 17.58 1.58E-05
|
||||
1.5 8.6376E-01 8.3454E-01 0.9662 278.4 8.45597E+04 1.058E+00 334.5 17.42 1.65E-05
|
||||
2.0 8.2168E-01 7.8462E-01 0.9549 275.2 7.95014E+04 1.007E+00 332.5 17.26 1.71E-05
|
||||
2.5 7.8119E-01 7.3715E-01 0.9436 271.9 7.46917E+04 9.570E-01 330.6 17.10 1.79E-05
|
||||
3.0 7.4225E-01 6.9204E-01 0.9324 268.7 7.01211E+04 9.093E-01 328.6 16.94 1.86E-05
|
||||
3.5 7.0482E-01 6.4920E-01 0.9211 265.4 6.57804E+04 8.634E-01 326.6 16.78 1.94E-05
|
||||
4.0 6.6885E-01 6.0854E-01 0.9098 262.2 6.16604E+04 8.193E-01 324.6 16.61 2.03E-05
|
||||
4.5 6.3432E-01 5.6997E-01 0.8986 258.9 5.77525E+04 7.770E-01 322.6 16.45 2.12E-05
|
||||
5.0 6.0117E-01 5.3341E-01 0.8873 255.7 5.40482E+04 7.364E-01 320.5 16.28 2.21E-05
|
||||
5.5 5.6936E-01 4.9878E-01 0.8760 252.4 5.05393E+04 6.975E-01 318.5 16.12 2.31E-05
|
||||
6.0 5.3887E-01 4.6600E-01 0.8648 249.2 4.72176E+04 6.601E-01 316.5 15.95 2.42E-05
|
||||
6.5 5.0964E-01 4.3499E-01 0.8535 245.9 4.40754E+04 6.243E-01 314.4 15.78 2.53E-05
|
||||
7.0 4.8165E-01 4.0568E-01 0.8423 242.7 4.11052E+04 5.900E-01 312.3 15.61 2.65E-05
|
||||
7.5 4.5485E-01 3.7799E-01 0.8310 239.5 3.82996E+04 5.572E-01 310.2 15.44 2.77E-05
|
||||
8.0 4.2921E-01 3.5185E-01 0.8198 236.2 3.56515E+04 5.258E-01 308.1 15.27 2.90E-05
|
||||
8.5 4.0470E-01 3.2721E-01 0.8085 233.0 3.31541E+04 4.958E-01 306.0 15.10 3.05E-05
|
||||
9.0 3.8128E-01 3.0398E-01 0.7973 229.7 3.08006E+04 4.671E-01 303.8 14.93 3.20E-05
|
||||
9.5 3.5891E-01 2.8211E-01 0.7860 226.5 2.85846E+04 4.397E-01 301.7 14.75 3.36E-05
|
||||
10.0 3.3756E-01 2.6153E-01 0.7748 223.3 2.64998E+04 4.135E-01 299.5 14.58 3.53E-05
|
||||
10.5 3.1720E-01 2.4219E-01 0.7635 220.0 2.45401E+04 3.886E-01 297.4 14.40 3.71E-05
|
||||
11.0 2.9780E-01 2.2403E-01 0.7523 216.8 2.26998E+04 3.648E-01 295.2 14.22 3.90E-05
|
||||
11.5 2.7545E-01 2.0710E-01 0.7519 216.7 2.09847E+04 3.374E-01 295.1 14.22 4.21E-05
|
||||
12.0 2.5464E-01 1.9146E-01 0.7519 216.7 1.93993E+04 3.119E-01 295.1 14.22 4.56E-05
|
||||
12.5 2.3541E-01 1.7699E-01 0.7519 216.7 1.79340E+04 2.884E-01 295.1 14.22 4.93E-05
|
||||
13.0 2.1763E-01 1.6363E-01 0.7519 216.7 1.65795E+04 2.666E-01 295.1 14.22 5.33E-05
|
||||
13.5 2.0119E-01 1.5127E-01 0.7519 216.7 1.53275E+04 2.465E-01 295.1 14.22 5.77E-05
|
||||
14.0 1.8600E-01 1.3985E-01 0.7519 216.7 1.41702E+04 2.279E-01 295.1 14.22 6.24E-05
|
||||
14.5 1.7196E-01 1.2929E-01 0.7519 216.7 1.31005E+04 2.107E-01 295.1 14.22 6.75E-05
|
||||
15.0 1.5898E-01 1.1953E-01 0.7519 216.7 1.21117E+04 1.948E-01 295.1 14.22 7.30E-05
|
||||
15.5 1.4698E-01 1.1051E-01 0.7519 216.7 1.11976E+04 1.801E-01 295.1 14.22 7.90E-05
|
||||
16.0 1.3589E-01 1.0217E-01 0.7519 216.7 1.03527E+04 1.665E-01 295.1 14.22 8.54E-05
|
||||
16.5 1.2564E-01 9.4465E-02 0.7519 216.7 9.57164E+03 1.539E-01 295.1 14.22 9.24E-05
|
||||
17.0 1.1616E-01 8.7339E-02 0.7519 216.7 8.84961E+03 1.423E-01 295.1 14.22 9.99E-05
|
||||
17.5 1.0740E-01 8.0752E-02 0.7519 216.7 8.18215E+03 1.316E-01 295.1 14.22 1.08E-04
|
||||
18.0 9.9302E-02 7.4662E-02 0.7519 216.7 7.56512E+03 1.216E-01 295.1 14.22 1.17E-04
|
||||
18.5 9.1815E-02 6.9032E-02 0.7519 216.7 6.99471E+03 1.125E-01 295.1 14.22 1.26E-04
|
||||
19.0 8.4893E-02 6.3828E-02 0.7519 216.7 6.46738E+03 1.040E-01 295.1 14.22 1.37E-04
|
||||
19.5 7.8494E-02 5.9017E-02 0.7519 216.7 5.97989E+03 9.616E-02 295.1 14.22 1.48E-04
|
||||
20.0 7.2578E-02 5.4569E-02 0.7519 216.7 5.52921E+03 8.891E-02 295.1 14.22 1.60E-04
|
||||
20.5 6.6979E-02 5.0460E-02 0.7534 217.1 5.11291E+03 8.205E-02 295.4 14.24 1.74E-04
|
||||
21.0 6.1807E-02 4.6670E-02 0.7551 217.6 4.72884E+03 7.571E-02 295.7 14.27 1.88E-04
|
||||
21.5 5.7045E-02 4.3173E-02 0.7568 218.1 4.37446E+03 6.988E-02 296.0 14.29 2.05E-04
|
||||
22.0 5.2660E-02 3.9945E-02 0.7585 218.6 4.04741E+03 6.451E-02 296.4 14.32 2.22E-04
|
||||
22.5 4.8622E-02 3.6965E-02 0.7603 219.1 3.74551E+03 5.956E-02 296.7 14.35 2.41E-04
|
||||
23.0 4.4902E-02 3.4214E-02 0.7620 219.6 3.46678E+03 5.500E-02 297.0 14.38 2.61E-04
|
||||
23.5 4.1474E-02 3.1674E-02 0.7637 220.1 3.20939E+03 5.081E-02 297.4 14.40 2.83E-04
|
||||
24.0 3.8316E-02 2.9328E-02 0.7654 220.6 2.97167E+03 4.694E-02 297.7 14.43 3.07E-04
|
||||
24.5 3.5404E-02 2.7161E-02 0.7672 221.1 2.75206E+03 4.337E-02 298.1 14.46 3.33E-04
|
||||
25.0 3.2721E-02 2.5158E-02 0.7689 221.6 2.54915E+03 4.008E-02 298.4 14.48 3.61E-04
|
||||
25.5 3.0246E-02 2.3308E-02 0.7706 222.0 2.36163E+03 3.705E-02 298.7 14.51 3.92E-04
|
||||
26.0 2.7964E-02 2.1597E-02 0.7723 222.5 2.18831E+03 3.426E-02 299.1 14.54 4.24E-04
|
||||
26.5 2.5858E-02 2.0016E-02 0.7740 223.0 2.02807E+03 3.168E-02 299.4 14.57 4.60E-04
|
||||
27.0 2.3916E-02 1.8553E-02 0.7758 223.5 1.87991E+03 2.930E-02 299.7 14.59 4.98E-04
|
||||
27.5 2.2124E-02 1.7201E-02 0.7775 224.0 1.74289E+03 2.710E-02 300.1 14.62 5.39E-04
|
||||
28.0 2.0470E-02 1.5950E-02 0.7792 224.5 1.61614E+03 2.508E-02 300.4 14.65 5.84E-04
|
||||
28.5 1.8943E-02 1.4793E-02 0.7809 225.0 1.49888E+03 2.320E-02 300.7 14.67 6.32E-04
|
||||
29.0 1.7533E-02 1.3722E-02 0.7826 225.5 1.39037E+03 2.148E-02 301.0 14.70 6.84E-04
|
||||
29.5 1.6231E-02 1.2731E-02 0.7844 226.0 1.28994E+03 1.988E-02 301.4 14.73 7.41E-04
|
||||
30.0 1.5028E-02 1.1813E-02 0.7861 226.5 1.19698E+03 1.841E-02 301.7 14.75 8.01E-04
|
||||
30.5 1.3917E-02 1.0964E-02 0.7878 227.0 1.11092E+03 1.705E-02 302.0 14.78 8.67E-04
|
||||
31.0 1.2891E-02 1.0177E-02 0.7895 227.5 1.03122E+03 1.579E-02 302.4 14.81 9.38E-04
|
||||
31.5 1.1942E-02 9.4488E-03 0.7912 228.0 9.57402E+02 1.463E-02 302.7 14.83 1.01E-03
|
||||
32.0 1.1065E-02 8.7740E-03 0.7930 228.5 8.89024E+02 1.355E-02 303.0 14.86 1.10E-03
|
||||
32.5 1.0228E-02 8.1493E-03 0.7968 229.6 8.25726E+02 1.253E-02 303.8 14.92 1.19E-03
|
||||
33.0 9.4469E-03 7.5724E-03 0.8016 231.0 7.67272E+02 1.157E-02 304.7 14.99 1.30E-03
|
||||
33.5 8.7297E-03 7.0395E-03 0.8064 232.4 7.13279E+02 1.069E-02 305.6 15.07 1.41E-03
|
||||
34.0 8.0709E-03 6.5470E-03 0.8112 233.7 6.63380E+02 9.887E-03 306.5 15.14 1.53E-03
|
||||
34.5 7.4654E-03 6.0917E-03 0.8160 235.1 6.17243E+02 9.145E-03 307.4 15.21 1.66E-03
|
||||
35.0 6.9085E-03 5.6705E-03 0.8208 236.5 5.74564E+02 8.463E-03 308.3 15.29 1.81E-03
|
||||
35.5 6.3961E-03 5.2807E-03 0.8256 237.9 5.35066E+02 7.835E-03 309.2 15.36 1.96E-03
|
||||
36.0 5.9245E-03 4.9198E-03 0.8304 239.3 4.98495E+02 7.257E-03 310.1 15.43 2.13E-03
|
||||
36.5 5.4901E-03 4.5854E-03 0.8352 240.7 4.64618E+02 6.725E-03 311.0 15.51 2.31E-03
|
||||
37.0 5.0899E-03 4.2756E-03 0.8400 242.1 4.33223E+02 6.235E-03 311.9 15.58 2.50E-03
|
||||
37.5 4.7209E-03 3.9883E-03 0.8448 243.4 4.04115E+02 5.783E-03 312.8 15.65 2.71E-03
|
||||
38.0 4.3806E-03 3.7218E-03 0.8496 244.8 3.77116E+02 5.366E-03 313.7 15.72 2.93E-03
|
||||
38.5 4.0666E-03 3.4746E-03 0.8544 246.2 3.52061E+02 4.982E-03 314.6 15.79 3.17E-03
|
||||
39.0 3.7767E-03 3.2450E-03 0.8592 247.6 3.28801E+02 4.626E-03 315.4 15.87 3.43E-03
|
||||
39.5 3.5089E-03 3.0318E-03 0.8640 249.0 3.07198E+02 4.298E-03 316.3 15.94 3.71E-03
|
||||
40.0 3.2616E-03 2.8337E-03 0.8688 250.4 2.87125E+02 3.995E-03 317.2 16.01 4.01E-03
|
||||
40.5 3.0329E-03 2.6496E-03 0.8736 251.7 2.68467E+02 3.715E-03 318.1 16.08 4.33E-03
|
||||
41.0 2.8214E-03 2.4783E-03 0.8784 253.1 2.51116E+02 3.456E-03 318.9 16.15 4.67E-03
|
||||
41.5 2.6257E-03 2.3190E-03 0.8832 254.5 2.34974E+02 3.216E-03 319.8 16.22 5.04E-03
|
||||
42.0 2.4445E-03 2.1708E-03 0.8880 255.9 2.19952E+02 2.995E-03 320.7 16.29 5.44E-03
|
||||
42.5 2.2768E-03 2.0327E-03 0.8928 257.3 2.05965E+02 2.789E-03 321.5 16.36 5.87E-03
|
||||
43.0 2.1214E-03 1.9041E-03 0.8976 258.6 1.92937E+02 2.599E-03 322.4 16.43 6.32E-03
|
||||
43.5 1.9774E-03 1.7843E-03 0.9024 260.0 1.80799E+02 2.422E-03 323.3 16.50 6.81E-03
|
||||
44.0 1.8438E-03 1.6727E-03 0.9072 261.4 1.69484E+02 2.259E-03 324.1 16.57 7.34E-03
|
||||
44.5 1.7199E-03 1.5685E-03 0.9120 262.8 1.58932E+02 2.107E-03 325.0 16.64 7.90E-03
|
||||
45.0 1.6050E-03 1.4714E-03 0.9168 264.2 1.49090E+02 1.966E-03 325.8 16.71 8.50E-03
|
||||
45.5 1.4983E-03 1.3808E-03 0.9216 265.5 1.39905E+02 1.835E-03 326.7 16.78 9.14E-03
|
||||
46.0 1.3992E-03 1.2961E-03 0.9263 266.9 1.31330E+02 1.714E-03 327.5 16.85 9.83E-03
|
||||
46.5 1.3071E-03 1.2171E-03 0.9311 268.3 1.23322E+02 1.601E-03 328.4 16.92 1.06E-02
|
||||
47.0 1.2215E-03 1.1433E-03 0.9359 269.7 1.15841E+02 1.496E-03 329.2 16.99 1.14E-02
|
||||
47.5 1.1437E-03 1.0743E-03 0.9393 270.6 1.08849E+02 1.401E-03 329.8 17.04 1.22E-02
|
||||
48.0 1.0748E-03 1.0095E-03 0.9393 270.6 1.02287E+02 1.317E-03 329.8 17.04 1.29E-02
|
||||
48.5 1.0100E-03 9.4865E-04 0.9393 270.6 9.61215E+01 1.237E-03 329.8 17.04 1.38E-02
|
||||
49.0 9.4912E-04 8.9147E-04 0.9393 270.6 9.03286E+01 1.163E-03 329.8 17.04 1.47E-02
|
||||
49.5 8.9193E-04 8.3776E-04 0.9393 270.6 8.48858E+01 1.093E-03 329.8 17.04 1.56E-02
|
||||
50.0 8.3819E-04 7.8728E-04 0.9393 270.6 7.97716E+01 1.027E-03 329.8 17.04 1.66E-02
|
||||
50.5 7.8770E-04 7.3986E-04 0.9393 270.6 7.49663E+01 9.649E-04 329.8 17.04 1.77E-02
|
||||
51.0 7.4026E-04 6.9530E-04 0.9393 270.6 7.04511E+01 9.068E-04 329.8 17.04 1.88E-02
|
||||
51.5 6.9630E-04 6.5342E-04 0.9384 270.4 6.62082E+01 8.530E-04 329.7 17.02 2.00E-02
|
||||
52.0 6.5758E-04 6.1395E-04 0.9336 269.0 6.22084E+01 8.055E-04 328.8 16.96 2.10E-02
|
||||
52.5 6.2085E-04 5.7668E-04 0.9289 267.7 5.84321E+01 7.605E-04 328.0 16.89 2.22E-02
|
||||
53.0 5.8599E-04 5.4150E-04 0.9241 266.3 5.48678E+01 7.178E-04 327.1 16.82 2.34E-02
|
||||
53.5 5.5293E-04 5.0831E-04 0.9193 264.9 5.15047E+01 6.773E-04 326.3 16.75 2.47E-02
|
||||
54.0 5.2158E-04 4.7700E-04 0.9145 263.5 4.83322E+01 6.389E-04 325.4 16.68 2.61E-02
|
||||
54.5 4.9187E-04 4.4748E-04 0.9098 262.1 4.53405E+01 6.025E-04 324.6 16.61 2.76E-02
|
||||
55.0 4.6370E-04 4.1964E-04 0.9050 260.8 4.25201E+01 5.680E-04 323.7 16.54 2.91E-02
|
||||
55.5 4.3702E-04 3.9341E-04 0.9002 259.4 3.98620E+01 5.354E-04 322.9 16.47 3.08E-02
|
||||
56.0 4.1175E-04 3.6869E-04 0.8954 258.0 3.73576E+01 5.044E-04 322.0 16.40 3.25E-02
|
||||
56.5 3.8782E-04 3.4541E-04 0.8907 256.6 3.49988E+01 4.751E-04 321.2 16.33 3.44E-02
|
||||
57.0 3.6516E-04 3.2349E-04 0.8859 255.3 3.27778E+01 4.473E-04 320.3 16.26 3.64E-02
|
||||
57.5 3.4373E-04 3.0286E-04 0.8811 253.9 3.06871E+01 4.211E-04 319.4 16.19 3.85E-02
|
||||
58.0 3.2344E-04 2.8344E-04 0.8763 252.5 2.87198E+01 3.962E-04 318.6 16.12 4.07E-02
|
||||
58.5 3.0426E-04 2.6518E-04 0.8716 251.1 2.68692E+01 3.727E-04 317.7 16.05 4.31E-02
|
||||
59.0 2.8612E-04 2.4800E-04 0.8668 249.8 2.51289E+01 3.505E-04 316.8 15.98 4.56E-02
|
||||
59.5 2.6897E-04 2.3186E-04 0.8620 248.4 2.34929E+01 3.295E-04 315.9 15.91 4.83E-02
|
||||
60.0 2.5276E-04 2.1668E-04 0.8573 247.0 2.19554E+01 3.096E-04 315.1 15.84 5.11E-02
|
||||
60.5 2.3746E-04 2.0243E-04 0.8525 245.6 2.05110E+01 2.909E-04 314.2 15.77 5.42E-02
|
||||
61.0 2.2300E-04 1.8904E-04 0.8477 244.3 1.91546E+01 2.732E-04 313.3 15.69 5.75E-02
|
||||
61.5 2.0935E-04 1.7647E-04 0.8430 242.9 1.78811E+01 2.565E-04 312.4 15.62 6.09E-02
|
||||
62.0 1.9647E-04 1.6468E-04 0.8382 241.5 1.66860E+01 2.407E-04 311.5 15.55 6.46E-02
|
||||
62.5 1.8431E-04 1.5361E-04 0.8334 240.2 1.55648E+01 2.258E-04 310.7 15.48 6.86E-02
|
||||
63.0 1.7285E-04 1.4323E-04 0.8287 238.8 1.45132E+01 2.117E-04 309.8 15.41 7.28E-02
|
||||
63.5 1.6204E-04 1.3351E-04 0.8239 237.4 1.35275E+01 1.985E-04 308.9 15.33 7.72E-02
|
||||
64.0 1.5185E-04 1.2439E-04 0.8191 236.0 1.26036E+01 1.860E-04 308.0 15.26 8.20E-02
|
||||
64.5 1.4225E-04 1.1585E-04 0.8144 234.7 1.17382E+01 1.743E-04 307.1 15.19 8.72E-02
|
||||
65.0 1.3321E-04 1.0785E-04 0.8096 233.3 1.09277E+01 1.632E-04 306.2 15.12 9.26E-02
|
||||
65.5 1.2470E-04 1.0036E-04 0.8048 231.9 1.01690E+01 1.528E-04 305.3 15.04 9.85E-02
|
||||
66.0 1.1668E-04 9.3354E-05 0.8001 230.5 9.45909E+00 1.429E-04 304.4 14.97 1.05E-01
|
||||
66.5 1.0914E-04 8.6800E-05 0.7953 229.2 8.79502E+00 1.337E-04 303.5 14.90 1.11E-01
|
||||
67.0 1.0204E-04 8.0672E-05 0.7906 227.8 8.17408E+00 1.250E-04 302.6 14.82 1.19E-01
|
||||
67.5 9.5371E-05 7.4944E-05 0.7858 226.4 7.59372E+00 1.168E-04 301.7 14.75 1.26E-01
|
||||
68.0 8.9101E-05 6.9593E-05 0.7811 225.1 7.05149E+00 1.091E-04 300.7 14.67 1.34E-01
|
||||
68.5 8.3209E-05 6.4595E-05 0.7763 223.7 6.54509E+00 1.019E-04 299.8 14.60 1.43E-01
|
||||
69.0 7.7675E-05 5.9929E-05 0.7715 222.3 6.07234E+00 9.515E-05 298.9 14.53 1.53E-01
|
||||
69.5 7.2478E-05 5.5576E-05 0.7668 221.0 5.63120E+00 8.879E-05 298.0 14.45 1.63E-01
|
||||
70.0 6.7601E-05 5.1515E-05 0.7620 219.6 5.21972E+00 8.281E-05 297.1 14.38 1.74E-01
|
||||
70.5 6.3026E-05 4.7728E-05 0.7573 218.2 4.83607E+00 7.721E-05 296.1 14.30 1.85E-01
|
||||
71.0 5.8734E-05 4.4199E-05 0.7525 216.8 4.47851E+00 7.195E-05 295.2 14.23 1.98E-01
|
||||
71.5 5.4712E-05 4.0912E-05 0.7478 215.5 4.14543E+00 6.702E-05 294.3 14.15 2.11E-01
|
||||
72.0 5.0905E-05 3.7852E-05 0.7436 214.3 3.83531E+00 6.236E-05 293.4 14.08 2.26E-01
|
||||
72.5 4.7296E-05 3.5007E-05 0.7402 213.3 3.54709E+00 5.794E-05 292.8 14.03 2.42E-01
|
||||
73.0 4.3927E-05 3.2365E-05 0.7368 212.3 3.27939E+00 5.381E-05 292.1 13.98 2.60E-01
|
||||
73.5 4.0786E-05 2.9912E-05 0.7334 211.3 3.03083E+00 4.996E-05 291.4 13.92 2.79E-01
|
||||
74.0 3.7856E-05 2.7635E-05 0.7300 210.3 2.80012E+00 4.637E-05 290.7 13.87 2.99E-01
|
||||
74.5 3.5125E-05 2.5522E-05 0.7266 209.4 2.58605E+00 4.303E-05 290.1 13.81 3.21E-01
|
||||
75.0 3.2580E-05 2.3563E-05 0.7232 208.4 2.38749E+00 3.991E-05 289.4 13.76 3.45E-01
|
||||
75.5 3.0209E-05 2.1746E-05 0.7198 207.4 2.20338E+00 3.701E-05 288.7 13.70 3.70E-01
|
||||
76.0 2.8001E-05 2.0061E-05 0.7164 206.4 2.03272E+00 3.430E-05 288.0 13.65 3.98E-01
|
||||
76.5 2.5946E-05 1.8501E-05 0.7131 205.5 1.87458E+00 3.178E-05 287.4 13.59 4.28E-01
|
||||
77.0 2.4033E-05 1.7055E-05 0.7097 204.5 1.72810E+00 2.944E-05 286.7 13.54 4.60E-01
|
||||
77.5 2.2253E-05 1.5716E-05 0.7063 203.5 1.59247E+00 2.726E-05 286.0 13.48 4.95E-01
|
||||
78.0 2.0597E-05 1.4477E-05 0.7029 202.5 1.46692E+00 2.523E-05 285.3 13.43 5.32E-01
|
||||
78.5 1.9058E-05 1.3331E-05 0.6995 201.6 1.35076E+00 2.335E-05 284.6 13.37 5.73E-01
|
||||
79.0 1.7627E-05 1.2270E-05 0.6961 200.6 1.24331E+00 2.159E-05 283.9 13.32 6.17E-01
|
||||
79.5 1.6298E-05 1.1290E-05 0.6927 199.6 1.14396E+00 1.996E-05 283.2 13.26 6.64E-01
|
||||
80.0 1.5063E-05 1.0384E-05 0.6893 198.6 1.05213E+00 1.845E-05 282.5 13.21 7.16E-01
|
||||
80.5 1.3917E-05 9.5464E-06 0.6860 197.7 9.67291E-01 1.705E-05 281.8 13.15 7.71E-01
|
||||
81.0 1.2853E-05 8.7731E-06 0.6826 196.7 8.88933E-01 1.574E-05 281.1 13.10 8.32E-01
|
||||
81.5 1.1866E-05 8.0591E-06 0.6792 195.7 8.16590E-01 1.454E-05 280.4 13.04 8.97E-01
|
||||
82.0 1.0950E-05 7.4002E-06 0.6758 194.7 7.49827E-01 1.341E-05 279.7 12.98 9.68E-01
|
||||
82.5 1.0101E-05 6.7924E-06 0.6724 193.8 6.88237E-01 1.237E-05 279.0 12.93 1.04E+00
|
||||
83.0 9.3145E-06 6.2318E-06 0.6690 192.8 6.31441E-01 1.141E-05 278.3 12.87 1.13E+00
|
||||
83.5 8.5856E-06 5.7151E-06 0.6657 191.8 5.79087E-01 1.052E-05 277.6 12.82 1.22E+00
|
||||
84.0 7.9106E-06 5.2391E-06 0.6623 190.8 5.30848E-01 9.690E-06 276.9 12.76 1.32E+00
|
||||
84.5 7.2857E-06 4.8006E-06 0.6589 189.9 4.86416E-01 8.925E-06 276.2 12.70 1.42E+00
|
||||
85.0 6.7074E-06 4.3968E-06 0.6555 188.9 4.45509E-01 8.217E-06 275.5 12.65 1.54E+00
|
||||
85.5 6.1724E-06 4.0253E-06 0.6521 187.9 4.07863E-01 7.561E-06 274.8 12.59 1.67E+00
|
||||
86.0 5.6777E-06 3.6835E-06 0.6488 186.9 3.73232E-01 6.955E-06 274.1 12.53 1.80E+00
|
||||
Reference in new issue
Block a user