def runQs():
#make figure
fig = plt.figure(figsize=(17, 21))
#set up test runs
nvals, rvals = 5, [2, 3, 4, 5, 6]
dates = spt.tickrange('2001-04-22T12:00:00', '2001-04-23T23:00:00', 1/24)
alpha = 45
#loop over radial positions, dates and quality flags
for rval in rvals:
Lstar = [[]]*nvals
for date, qual in itertools.product(dates.UTC, range(nvals)):
pos = dm.dmarray([-1*rval, 0, 0], attrs={'sys': 'SM'})
data = lgmpy.get_Lstar(pos, date, alpha=alpha, coord_system='SM', Bfield='Lgm_B_cdip', LstarThresh=20.0, extended_out=True, LstarQuality=qual)
try:
Lstar[qual].extend(data[alpha]['Lstar'])
except TypeError:
Lstar[qual].append(data[alpha]['Lstar'].tolist())
print('Did [-%d,0,0] for all qualities' % rval)
#make plots
fstr = '%d1%d' % (len(rvals), rval-rvals[0]+1)
ax = fig.add_subplot(fstr)
ax.boxplot(Lstar)
#ax = plt.gca()
ax.set_title('LGM - Centred dipole [-%d, 0, 0]$_{SM}$; PA=%d$^{o}$' % (rval, alpha))
ax.set_ylabel('L* (LanlGeoMag)')
ax.set_xlabel('Quality Flag')
ax.set_xticklabels([str(n) for n in range(5)])
tb.savepickle('lgm_cdip_lstar%d_alpha%d.pkl' % (rval, alpha), {'Lstar': Lstar})
plt.ylim([rval-0.04, rval+0.04])
plt.savefig('lgm_cdip_verify%d.png' % alpha, dpi=300)
def runPAdungey(quality):
#test for range of pitch angles
ticks = spt.tickrange('2002-04-18', '2002-04-19', 1)
loci = spc.Coords([[-4, 0, 0], [-5, 0, 0]], 'SM', 'car')
vals = []
for pp in range(1, 91):
dum = lgmpy.get_Lstar(loci.data[1],
ticks.UTC[1],
alpha=pp,
coord_system='SM',
Bfield='Lgm_B_Dungey',
extended_out=True,
LstarQuality=quality)
try:
vals.extend(dum[pp]['Lstar'])
except (IndexError,
TypeError): #get_Lstar returns a 0-D nan in some cases...
vals.extend([dum[pp]['Lstar'].tolist()])
fig = plt.figure()
expect = dungeyLeq(tb.hypot(loci.data[1]))
#print(expect)
plt.plot(100 * (dm.dmarray(vals) - expect) / expect, drawstyle='steps-mid')
plt.ylim([-0.01, 0.01])
plt.xlabel('Pitch Angle')
plt.ylabel('100*(L* - L*$_{exp}$)/L*$_{exp}$')
plt.title('Dungey model [-5,0,0]$_{SM}$' +
'; Quality ({0})'.format(str(quality)))
figname = 'MagEphem_Dungey_test_q{0}'.format(
str(quality)) #'LGM_L*_vs_PA_cdip_q{0}'.format(str(quality))
plt.savefig(''.join([figname, '.png']), dpi=300)
plt.savefig(''.join([figname, '.pdf']))
def runQs():
#make figure
fig = plt.figure(figsize=(17, 21))
#set up test runs
nvals, rvals = 5, [2, 3, 4, 5, 6]
dates = spt.tickrange('2001-04-22T12:00:00', '2001-04-23T23:00:00', 1 / 24)
alpha = 45
#loop over radial positions, dates and quality flags
for rval in rvals:
Lstar = [[]] * nvals
for date, qual in itertools.product(dates.UTC, range(nvals)):
pos = dm.dmarray([-1 * rval, 0, 0], attrs={'sys': 'SM'})
data = lgmpy.get_Lstar(pos,
date,
alpha=alpha,
coord_system='SM',
Bfield='Lgm_B_cdip',
LstarThresh=20.0,
extended_out=True,
LstarQuality=qual)
try:
Lstar[qual].extend(data[alpha]['Lstar'])
except TypeError:
Lstar[qual].append(data[alpha]['Lstar'].tolist())
print('Did [-%d,0,0] for all qualities' % rval)
#make plots
fstr = '%d1%d' % (len(rvals), rval - rvals[0] + 1)
ax = fig.add_subplot(fstr)
ax.boxplot(Lstar)
#ax = plt.gca()
ax.set_title('LGM - Centred dipole [-%d, 0, 0]$_{SM}$; PA=%d$^{o}$' %
(rval, alpha))
ax.set_ylabel('L* (LanlGeoMag)')
ax.set_xlabel('Quality Flag')
ax.set_xticklabels([str(n) for n in range(5)])
tb.savepickle('lgm_cdip_lstar%d_alpha%d.pkl' % (rval, alpha),
{'Lstar': Lstar})
plt.ylim([rval - 0.04, rval + 0.04])
plt.savefig('lgm_cdip_verify%d.png' % alpha, dpi=300)
def runPA(quality):
#test for range of pitch angles
ticks = spt.tickrange('2002-04-18', '2002-04-19', 1)
loci = spc.Coords([[-4,0,0], [-5,0,0]], 'SM', 'car')
vals = []
for pp in range(1,91):
dum = lgmpy.get_Lstar(loci.data[1], ticks.UTC[1], alpha=pp, coord_system='SM',
Bfield='Lgm_B_cdip', extended_out=True, LstarQuality=quality)
try:
vals.extend(dum[pp]['Lstar'])
except (IndexError, TypeError): #get_Lstar returns a 0-D nan in some cases...
vals.extend([dum[pp]['Lstar'].tolist()])
fig = plt.figure()
expect = float(tb.hypot(loci.data[1]))
plt.plot(100*(dm.dmarray(vals)-expect)/expect, drawstyle='steps-mid')
plt.ylim([-0.01, 0.01])
plt.xlabel('Pitch Angle')
plt.ylabel('100*(L* - L*$_{exp}$)/L*$_{exp}$')
plt.title('Cent. dipole [-5,0,0]$_{SM}$'+'; Quality ({0})'.format(str(quality)))
figname = 'MagEphem_CDIP_test_q{0}'.format(str(quality)) #'LGM_L*_vs_PA_cdip_q{0}'.format(str(quality))
plt.savefig(''.join([figname,'.png']), dpi=300)
plt.savefig(''.join([figname,'.pdf']))
dates = spt.tickrange('2001-04-22T12:00:00', '2001-04-22T12:01:00',
dt.timedelta(seconds=5))
alpha = 45
print('T89: alpha=%s, date range [%s, %s]' %
(alpha, dates.UTC[0], dates.UTC[-1]))
#loop over radial positions, dates and quality flags
for rval in rvals:
print('Radial Distance: %s' % rval)
Lstar = [[]] * nvals
for date, qual in itertools.product(dates.UTC, range(nvals)):
print('%s, Quality=%d' % (date, qual))
pos = dm.dmarray([-1 * rval, 0, 0], attrs={'sys': 'GSM'})
data = lgmpy.get_Lstar(pos,
date,
alpha=alpha,
coord_system='GSM',
Bfield='Lgm_B_T89c',
LstarThresh=20.0,
extended_out=True,
LstarQuality=qual)
try:
Lstar[qual].extend(data[alpha]['Lstar'])
except TypeError:
Lstar[qual].append(data[alpha]['Lstar'].tolist())
#make plots
fstr = '%d1%d' % (len(rvals), rval - rvals[0] + 1)
ax = fig.add_subplot(fstr)
ax.boxplot(Lstar)
ax.set_title('T89 [-%d, 0, 0]$_{GSM}$; PA=%d$^{o}$' % (rval, alpha))
ax.set_ylabel('L* (LanlGeoMag)')
ax.set_xlabel('Quality Flag')
nvals, rvals = 5, [3, 4, 5, 6]
dates = spt.tickrange("2001-04-22T12:00:00", "2001-04-22T12:01:00", dt.timedelta(seconds=5))
alpha = 45
print("T89: alpha=%s, date range [%s, %s]" % (alpha, dates.UTC[0], dates.UTC[-1]))
# loop over radial positions, dates and quality flags
for rval in rvals:
print("Radial Distance: %s" % rval)
Lstar = [[]] * nvals
for date, qual in itertools.product(dates.UTC, range(nvals)):
print("%s, Quality=%d" % (date, qual))
pos = dm.dmarray([-1 * rval, 0, 0], attrs={"sys": "GSM"})
data = lgmpy.get_Lstar(
pos,
date,
alpha=alpha,
coord_system="GSM",
Bfield="Lgm_B_T89c",
LstarThresh=20.0,
extended_out=True,
LstarQuality=qual,
)
try:
Lstar[qual].extend(data[alpha]["Lstar"])
except TypeError:
Lstar[qual].append(data[alpha]["Lstar"].tolist())
# make plots
fstr = "%d1%d" % (len(rvals), rval - rvals[0] + 1)
ax = fig.add_subplot(fstr)
ax.boxplot(Lstar)
ax.set_title("T89 [-%d, 0, 0]$_{GSM}$; PA=%d$^{o}$" % (rval, alpha))
ax.set_ylabel("L* (LanlGeoMag)")
