from __future__ import division
import numpy as np
from matplotlib.pyplot import figure, show, cm, grid, subplots
from matplotlib.ticker import MultipleLocator
from use_mspicer import outer_loop
from kmaspice import MarsSpicer
# default time is now:
mspice = MarsSpicer()
# set up location
mspice.set_spoint_by(lat=85, lon = 0)
# set up starting time of analysis, l_s = 0
mspice.utc = '2011-09-13T14:24:33.733548'
# stopping l_s value
end_ls = 360
# l_s resolution
ls_res = 10
# save this time for multiple runs for resetting mspice each time
start_time = mspice.time
# container for all energy arrays
energies = []
# labels for the plotting
labels = []
def main():
# default time is now:
mspice = MarsSpicer()
# set up location
mspice.set_spoint_by(lat=85, lon = 0)
# set up starting time of analysis, l_s = 0
mspice.utc = '2011-09-13T14:24:33.733548'
# mspice.time += dt.timedelta(30)
# ls1 = mspice.l_s
# utc1 = mspice.utc
# mspice.time += dt.timedelta(1)
# ls2 = mspice.l_s
# mspice.utc = utc1
# stopping l_s value
end_ls = 360
# l_s resolution
# ls_res = 0.02
ls_res = 5.0
# time resolution
time_res = 3600
# save this time for multiple runs for resetting mspice each time
start_time = mspice.time
# container for all energy arrays
energies = []
# labels for the plotting
labels = []
# tilt the surface normal by 30 degree to the north (north = default)
# this creates an instance variable called 'tnormal'
mspice.tilt = 30
# first time, save the bigtimes array
bigtimes, energies_t30 = outer_loop(mspice, end_ls, ls_res, 'tilted_normal',time_res=time_res)
energies.append(energies_t30)
labels.append('t30')
# rotate the tilted vector around the local surface normal to create an aspect
# angle
# this creates an instance variable called 'trnormal'
mspice.aspect = 90
mspice.time = start_time
energies.append(outer_loop(mspice, end_ls, ls_res, 'tilted_rotated_normal',time_res=time_res)[1])
labels.append('t30_a90')
mspice.time = start_time
energies.append(outer_loop(mspice, end_ls, ls_res, 'snormal',time_res=time_res)[1])
labels.append('flat')
mspice.aspect = 180
mspice.time = start_time
energies.append(outer_loop(mspice, end_ls, ls_res, 'tilted_rotated_normal',time_res=time_res)[1])
labels.append('t30,a180')
fig = figure()
ax = fig.add_subplot(111)
grid()
for energy,label in zip(energies,labels):
ax.plot(bigtimes,energy, '-*', label=label)
ax.set_xlabel('L_s [deg]')
ax.set_ylabel('Insolation per 10 L_s [MJ]')
ax.set_title('Insolation of t_ilted and a_spected (rotated) surfaces at 85 N')
ax.legend(loc='best')
show()
return (energies, labels)
# dline = newPoint.line - dem.center.line
# plt.quiver(dem.center.sample,dem.center.line,dsample,dline,angles='xy', scale_units='xy', scale=1)
# correct aspects for delta angle
# it needs to be added, because aspects go clock-wise
aspects.data += delta_angle
# bend around data > 360
mask = aspects.data > 360.0
aspects.data[mask] = aspects.data[mask] - 360.0
# # create MarsSpicer object
mspice = MarsSpicer()
utc1 = '2011-05-24T00:58:08.402'
utc2 = '2011-05-31T05:01:50.854'
mspice.utc = utc2
mspice.obs = 'MRO'
mspice.instrument = 'MRO_HIRISE'
mspice.set_spoint_by('sincpt')
phase = np.zeros_like(dem.data)
emissions = []
incidences = []
rev_srfvec = spice.vminus(mspice.srfvec)
for sample in xrange(phase.shape[0]):
if sample % 10 == 0:
print('Sample {0}'.format(sample))
for line in xrange(phase.shape[1]):
slope = float(slopes.data[sample, line])
aspect = float(aspects.data[sample, line])
