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plot_scans.py
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plot_scans.py
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import numpy as n
import h5py
import matplotlib.pyplot as plt
import jcoord
import sys
import cartopy.crs as ccrs
from datetime import datetime
from cartopy.feature.nightshade import Nightshade
h=h5py.File("ppar.h5","r")
# figure out magic constant using zenith data
az=h["az"][()]
cal_az=-90
cal_daz=10
cal_idx=n.where(n.abs(az-cal_az)<cal_daz)[0]
hc=h5py.File("cal_lowel.h5","r")
print(hc.keys())
time_unix_cal=hc["time_unix"][()]
time_unix=h["time_unix"][()][cal_idx]
ne_cal=hc["ne"][()]
ne=h["ne"][()]
ne=ne[cal_idx,:]
mc_factors=[]
for ti in range(len(time_unix)):
midx=n.argmin(n.abs(time_unix[ti]-time_unix_cal))
mc_factor=n.nanmax(ne_cal[midx,:])/n.nanmax(ne[ti,:])
mc_factors.append(mc_factor)
#plt.plot(mc_factors,".")
#plt.show()
plt.subplot(121)
mcfactor=n.nanmedian(mc_factors)
print("misa low elevation long pulse to zenith alternating code magic constant factor %1.2f"%(mcfactor))
plt.pcolormesh(n.log10(mcfactor*ne.T),vmin=10,vmax=12,cmap="turbo")
plt.colorbar()
plt.subplot(122)
plt.pcolormesh(n.log10(ne_cal.T),vmin=10,vmax=12,cmap="turbo")
plt.show()
hc.close()
print(h.keys())
dt=n.diff(h["time_unix"][()])
#plt.plot(dt,".")
#plt.show()
si=n.where(n.diff(h["time_unix"][()]) > 120)[0]
si=n.concatenate(([-1],si))
az=n.copy(h["az"][()])
el=n.copy(h["el"][()])
ne=n.copy(h["ne"][()])*mcfactor
te=n.copy(h["Te"][()])
ti=n.copy(h["Ti"][()])
vi=n.copy(h["vi"][()])
dvi=n.copy(h["dvi"][()])
ranges=n.copy(h["range"][()])
ts=n.copy(h["time_unix"][()])
max_range=2500
vi[dvi>200]=n.nan
ne[dvi>200]=n.nan
for i in range(len(si)-1):
print("%d-%d"%(si[i],si[i+1]))
lats=[]
lons=[]
hs=[]
nes=[]
tes=[]
tis=[]
vis=[]
prgs=[]
this_az=az[(si[i]+1):si[i+1]]
this_el=el[(si[i]+1):si[i+1]]
this_ne=ne[(si[i]+1):si[i+1],:]
this_te=te[(si[i]+1):si[i+1],:]
this_ti=ti[(si[i]+1):si[i+1],:]
this_vi=vi[(si[i]+1):si[i+1],:]
for tid in range(len(this_az)):
for ri in range(len(ranges)):
llh=jcoord.az_el_r2geodetic(jcoord.misa_lat, jcoord.misa_lon, jcoord.misa_h, this_az[tid], this_el[tid], ranges[ri]*1e3)
if ranges[ri] < max_range:
lats.append(llh[0])
lons.append(llh[1])
hs.append(llh[2])
nes.append(this_ne[tid,ri])
tes.append(this_te[tid,ri])
tis.append(this_ti[tid,ri])
vis.append(this_vi[tid,ri])
prgs.append(ranges[ri])
prgs=n.array(prgs)
nes=n.array(nes)
vis=n.array(vis)
tes=n.array(tes)
tis=n.array(tis)
psize=4.5*0.5*0.8*0.8
fig = plt.figure(figsize=[8, 6.4])
ax = fig.add_subplot(2, 2, 1, projection=ccrs.Orthographic(jcoord.misa_lon, jcoord.misa_lat))
data_projection = ccrs.PlateCarree()
this_frame_date=datetime.utcfromtimestamp(ts[si[i]+1])
ax.coastlines(zorder=3)
ax.stock_img()
ax.gridlines()
ax.set_extent((-60,-100,20,60),crs=ccrs.PlateCarree())
ax.add_feature(Nightshade(this_frame_date))
# make a scatterplot
mp=ax.scatter(lons,
lats,
c=vis,
s=psize*prgs/1e2,
vmin=-600,vmax=600,
transform=data_projection,
zorder=2,
cmap="seismic")
cb=plt.colorbar(mp,ax=ax)
cb.set_label("v$_i$ (m/s) red is away from radar")
time_str=this_frame_date.strftime('%Y-%m-%d %H:%M:%S')
ax.set_title(time_str)
# plt.tight_layout()
# plt.savefig("eclipse/vi_h_map-%d.png"%(ts[si[i]+1]))
# plt.close()
# fig = plt.figure(figsize=[1.5*8, 1.5*8])
ax = fig.add_subplot(2, 2, 2, projection=ccrs.Orthographic(jcoord.misa_lon, jcoord.misa_lat))
data_projection = ccrs.PlateCarree()
this_frame_date=datetime.utcfromtimestamp(ts[si[i]+1])
ax.coastlines(zorder=3)
ax.stock_img()
ax.gridlines()
ax.set_extent((-60,-100,20,60),crs=ccrs.PlateCarree())
ax.add_feature(Nightshade(this_frame_date))
# make a scatterplot
#c=n.log10(nes),
mp=ax.scatter(lons,
lats,
# c=n.log10(nes),
c=nes,
s=psize*prgs/1e2,
vmin=10**10,vmax=10**12,
transform=data_projection,
zorder=2,
cmap="turbo")
cb=plt.colorbar(mp,ax=ax)
cb.set_label("n$_e$ (m$^{-3}$)")
time_str=this_frame_date.strftime('%Y-%m-%d %H:%M:%S')
# ax.set_title("MIT Haystack Observatory")
# plt.tight_layout()
# plt.savefig("eclipse/map-%d.png"%(ts[si[i]+1]))
# plt.close()
# fig = plt.figure(figsize=[8, 8])
ax = fig.add_subplot(2, 2, 3, projection=ccrs.Orthographic(jcoord.misa_lon, jcoord.misa_lat))
data_projection = ccrs.PlateCarree()
this_frame_date=datetime.utcfromtimestamp(ts[si[i]+1])
ax.coastlines(zorder=3)
ax.stock_img()
ax.gridlines()
ax.set_extent((-60,-100,20,60),crs=ccrs.PlateCarree())
ax.add_feature(Nightshade(this_frame_date))
# make a scatterplot
mp=ax.scatter(lons,
lats,
c=tes,
s=psize*prgs/1e2,
vmin=500,vmax=4000,
transform=data_projection,
zorder=2,
cmap="turbo")
cb=plt.colorbar(mp,ax=ax)
cb.set_label("T$_e$ (K)")
# fig = plt.figure(figsize=[8, 8])
ax = fig.add_subplot(2, 2, 4, projection=ccrs.Orthographic(jcoord.misa_lon, jcoord.misa_lat))
data_projection = ccrs.PlateCarree()
this_frame_date=datetime.utcfromtimestamp(ts[si[i]+1])
ax.coastlines(zorder=3)
ax.stock_img()
ax.gridlines()
ax.set_extent((-60,-100,20,60),crs=ccrs.PlateCarree())
ax.add_feature(Nightshade(this_frame_date))
# make a scatterplot
mp=ax.scatter(lons,
lats,
c=tis,
s=psize*prgs/1e2,
vmin=500,vmax=3000,
transform=data_projection,
zorder=2,
cmap="turbo")
cb=plt.colorbar(mp,ax=ax)
cb.set_label("T$_i$ (K)")
time_str=this_frame_date.strftime('%Y-%m-%d %H:%M:%S')
ax.text(0.0, -0.05, "Millstone Hill Incoherent Scatter Radar, MIT Haystack Observatory", fontsize=6, horizontalalignment="left",verticalalignment="bottom",transform=ax.transAxes)
# ax.set_title(time_str)
# plt.tight_layout()
# plt.savefig("eclipse/temap-%d.png"%(ts[si[i]+1]))
# plt.close()
plt.tight_layout()
plt.savefig("eclipse/4map-%d.png"%(ts[si[i]+1]),dpi=200)
plt.close()
fig = plt.figure(figsize=[8, 8])
ax = fig.add_subplot(1, 1, 1, projection=ccrs.Orthographic(jcoord.misa_lon, jcoord.misa_lat))
data_projection = ccrs.PlateCarree()
this_frame_date=datetime.utcfromtimestamp(ts[si[i]+1])
ax.coastlines(zorder=3)
ax.stock_img()
ax.gridlines()
ax.set_extent((-60,-100,20,60),crs=ccrs.PlateCarree())
ax.add_feature(Nightshade(this_frame_date))
# make a scatterplot
mp=ax.scatter(lons,
lats,
c=vis,
s=10*prgs/1e2,
vmin=-100,vmax=100,
transform=data_projection,
zorder=2,
cmap="seismic")
cb=plt.colorbar(mp,ax=ax)
cb.set_label("v$_i$ (m/s) red is away from radar")
time_str=this_frame_date.strftime('%Y-%m-%d %H:%M:%S')
ax.set_title(time_str)
plt.tight_layout()
plt.savefig("eclipse/vimap-%d.png"%(ts[si[i]+1]))
plt.close()
# plt.scatter(lons,lats,c=n.log10(nes),vmin=10,vmax=12,cmap="turbo",s=5*(prgs/1e2))
# plt.colorbar()
# plt.show()
# plt.plot(az[(si[i]+1):si[i+1]],".")
# plt.show()
print(si)
h.close()