def main(argv):
'''
Main function. Reads input parameters, run scheduler and stores results.
'''
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-s",'--south_pt',
help='''
Input file. This file contains the ra dec for all the tiles. The format is the
same as the output of tiler.'''
,type="string")
parser.add_option("-n",'--north_pt',
help='''
Input file. This file contains the ra dec for all the tiles. The format is the
same as the output of tiler.'''
,type="string")
parser.add_option("-m",'--meteorology',
help='''
Input file. This file contains weather information. Only clouded nights need be
specified. Format is MJD FLAG, where FLAG is
0 - Good night. Less than 0.5 mag extinction (may be skipped)
1 - Thin Cirrus. Between 0.5 and 2 mag extinction.
2 - Cloudy. Between 2 and 4 mag extinction.
3 - Closed.'''
,type="string")
parser.add_option("-v", '--verbose',action="store_true", dest="verbose", default=False,
help="Don't print status messages to stdout")
opt,arg = parser.parse_args(argv)
#
# Reading input files
#
iis,jjs,ras,decs,rots = np.loadtxt(opt.south_pt,unpack=True,usecols=(0,1,4,5,6))
iin,jjn,ran,decn,rotn = np.loadtxt(opt.north_pt,unpack=True,usecols=(0,1,4,5,6))
ii = np.array(np.append(iis,iin+iis.max()+10),dtype=int)
jj = np.array(np.append(jjs,jjn),dtype=int)
ra = np.append(ras,ran)
dec = np.append(decs,decn)
iciclo = 0
ncycle = 3
xcycle = 0
ntryes = 400
tryes = 0
obs = np.array([np.zeros(len(ii))==0,np.zeros(len(ii))==0,np.zeros(len(ii))==0,np.zeros(len(ii))==0])
MJD_dstart = 56294.5
exptime = 0.01
xx = ii.max()+1
yy = jj.max()+1
map = np.zeros(xx*yy).reshape(yy,xx)
for i in range(len(ii)):
map[jj[i]][ii[i]] = 1.0
xmap = np.array([map,map,map])
cmap = colors.ListedColormap(['black', 'gray', 'red', 'blue', 'blue', 'white'])
bounds=[0,1,2,3,4,5]
norm = colors.BoundaryNorm(bounds, cmap.N)
#plt.plot(ii,jj,'.')
fig = plt.figure()
ax = fig.add_subplot(1,1,1) #[fig.add_subplot(2,2,0),fig.add_subplot(2,2,1),fig.add_subplot(2,2,2),fig.add_subplot(2,2,3)]
ax = fig.add_axes([0,0,1,1])
ax.axis("off")
#for i in range(len(obs)):
ax.imshow(map,aspect='auto',interpolation='nearest',cmap=cmap, norm=norm)
fig.savefig('map_%04i.png'%0)
nmap = 1
no_obsTray = np.zeros(len(obs)) == 1
for MJD in np.arange(MJD_dstart,MJD_dstart+365.*6):
nightStart = _skysub.jd_sun_alt(sunMaxAlt, MJD, sitelat, sitelong)
nightEnd = _skysub.jd_sun_alt(sunMaxAlt, MJD+0.5, sitelat, sitelong)
ramoon = 0.
decmoon = 0.
distmoon = 0.
rasun = 0.
decsun = 0.
ramoon,decmoon,distmoon = _skysub.lpmoon(nightStart,sitelat,_skysub.lst(nightStart,sitelong))
ill_frac=0.5*(1.-np.cos(_skysub.subtend(ramoon,decmoon,rasun,decsun)))
stdscr.addstr(7, 0, 'Moon illum: %.3f '%(ill_frac))
stdscr.clrtoeol()
if ill_frac < 0.25:
iciclo = 0
elif ill_frac < 0.75:
iciclo = 1
elif ill_frac < 0.95:
iciclo = 2
else:
iciclo = -1
stdscr.addstr(0,0,'Observations start at JD = %12.2f'%nightStart)
stdscr.addstr(1,0,'Observations end at JD = %12.2f'%nightEnd)
if iciclo >= 0:
nobs = len(obs[iciclo][obs[iciclo]])
if len(obs[iciclo][obs[iciclo]]) > 1:
try:
obs[iciclo] = make_obs(nightStart,nightEnd,ra,dec,obs[iciclo],exptime)
except:
pass
elif (len(obs[0][obs[0]]) == 0 and len(obs[1][obs[1]]) == 0 and len(obs[2][obs[2]]) == 0 and len(obs[3][obs[3]]) == 0):
break
if nobs == len(obs[iciclo][obs[iciclo]]):
no_obsTray[iciclo] = True
else:
no_obsTray[iciclo] = False
if no_obsTray.all():
if tryes > ntryes:
break
else:
tryes+=1
else:
stdscr.addstr(7, 20, ' - No observations this night')
xjj = jj[np.bitwise_not(obs[iciclo])]
xii = ii[np.bitwise_not(obs[iciclo])]
for i in range(len(xii)):
xmap[iciclo][xjj[i]][xii[i]] = 2.0
xcycle+=1
#stdscr.addstr(0, 0, "Moving file: {0}".format(filename))
#stdscr.addstr(1, 0, "Total progress: [{1:10}] {0}%".format(progress * 10, "#" * progress))
for i in range(ncycle):
if i == iciclo:
start = '--> '
else:
start = '--- '
stdscr.addstr(i+3, 0, start+'[Tray: %i] - %4i/%i areas observed'%(i,len(obs[i])-len(obs[i][obs[i]]),len(obs[i])))
stdscr.refresh()
#print '[Ciclo: %i] - %i/%i areas observed'%(i,len(obs[i])-len(obs[i][obs[i]]),len(obs[i]))
#for i in range(len(obs)):
# ax[i].cla()
# ax[i].imshow(xmap[i],aspect='auto',interpolation='nearest',cmap=cmap, norm=norm)
ax.cla()
ax.imshow(xmap[0]+xmap[1]+xmap[2]-2,aspect='auto',interpolation='nearest',cmap=cmap, norm=norm)
fig.canvas.draw()
if not no_obsTray.all():
fig.savefig('map_%04i.png'%nmap)
nmap += 1
#plt.plot(ii,jj,'.')
print 'Observations started in ',MJD_dstart
print 'Observations ended in ',MJD
print 'Survey took %i days'%(MJD-MJD_dstart)
return 0
def main(argv):
'''
Main function. Reads input parameters, run scheduler and stores results.
'''
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-s",'--south_pt',
help='''
Input file. This file contains the ra dec for all the tiles. The format is the
same as the output of tiler.'''
,type="string")
parser.add_option("-n",'--north_pt',
help='''
Input file. This file contains the ra dec for all the tiles. The format is the
same as the output of tiler.'''
,type="string")
parser.add_option("-m",'--meteorology',
help='''
Input file. This file contains weather information. Only clouded nights need be
specified. Format is MJD FLAG, where FLAG is
0 - Good night. Less than 0.5 mag extinction (may be skipped)
1 - Thin Cirrus. Between 0.5 and 2 mag extinction.
2 - Cloudy. Between 2 and 4 mag extinction.
3 - Closed.'''
,type="string")
parser.add_option("-v", '--verbose',action="store_true", dest="verbose", default=False,
help="Don't print status messages to stdout")
opt,arg = parser.parse_args(argv)
#
# Reading input files
#
_path = os.path.expanduser('~/Develop/SMAPs/coordinatesystemandtiling/')
sna_file = os.path.join(_path,'smaps_pointT80norte.dat')
ssa_file = os.path.join(_path,'smaps_pointsulT80.dat')
iis,jjs,ras,decs,rots = np.loadtxt(sna_file,unpack=True,usecols=(0,1,4,5,6))
iin,jjn,ran,decn,rotn = np.loadtxt(ssa_file,unpack=True,usecols=(0,1,4,5,6))
ii = np.array(np.append(iis,iin+iis.max()+10),dtype=int)
jj = np.array(np.append(jjs,jjn),dtype=int)
ra = np.append(ras,ran)
dec = np.append(decs,decn)
# Store maximum altitude of tiles
maxAltit = np.array([_skysub.altit(dec[j],0.,sitelat)[0] for j in range(len(ra))])
iciclo = 0
ncycle = 2
xcycle = 0
ntryes = 400
tryes = 0
obs = np.array([np.zeros(len(ii))==0,np.zeros(len(ii))==0,np.zeros(len(ii))==0,np.zeros(len(ii))==0])
MJD_dstart = aux.mjd(2014,01,01) # 01/jan/2014
exptime = [0.003,0.024]
xx = ii.max()+1
yy = jj.max()+1
map = np.zeros(xx*yy).reshape(yy,xx)
for i in range(len(ii)):
map[jj[i]][ii[i]] = 1.0
xmap = np.array([map,map,map])
cmap = colors.ListedColormap(['black', 'gray', 'red','white','white'])
bounds=[0,1,2,3,4]
norm = colors.BoundaryNorm(bounds, cmap.N)
#plt.plot(ii,jj,'.')
fig = plt.figure()
ax = fig.add_subplot(1,1,1) #[fig.add_subplot(2,2,0),fig.add_subplot(2,2,1),fig.add_subplot(2,2,2),fig.add_subplot(2,2,3)]
ax = fig.add_axes([0,0,1,1])
ax.axis("off")
#for i in range(len(obs)):
ax.imshow(map,aspect='auto',interpolation='nearest',cmap=cmap, norm=norm)
fig.savefig('xmap_%04i.png'%0)
nmap = 1
no_obsTray = np.zeros(len(obs)) == 1
fp = open('surveysim_02.dat','w')
for MJD in np.arange(MJD_dstart,MJD_dstart+365.*2):
nightStart = _skysub.jd_sun_alt(sunMaxAlt,2400000.5+MJD+1.0, sitelat, sitelong)
nightEnd = _skysub.jd_sun_alt(sunMaxAlt,2400000.5+MJD+1.5, sitelat, sitelong)
ramoon = 0.
decmoon = 0.
distmoon = 0.
rasun = 0.
decsun = 0.
ramoon,decmoon,distmoon = _skysub.lpmoon(nightStart,sitelat,_skysub.lst(nightStart,sitelong))
ill_frac=0.5*(1.-np.cos(_skysub.subtend(ramoon,decmoon,rasun,decsun)))
stdscr.addstr(7, 0, 'Moon illum: %.3f '%(ill_frac))
stdscr.clrtoeol()
if ill_frac < 0.95:
iciclo = 0
else:
iciclo = -1
stdscr.addstr(0,0,'Observations start at JD = %12.2f'%nightStart)
stdscr.addstr(1,0,'Observations end at JD = %12.2f'%nightEnd)
xnobs=0
if iciclo >= 0:
nobs = len(obs[iciclo][obs[iciclo]])
try:
obs[iciclo],xnobs,tnobs,emptyObsSlots = make_obs(nightStart,nightEnd,ra,dec,obs[iciclo],exptime[iciclo],maxAltit)
fp.write('%10.2f %6.3f %4i %4i '%(nightStart,nightEnd-nightStart,xnobs,tnobs))
xnobs = 0
tnobs = len(emptyObsSlots)
if len(emptyObsSlots) > 0:
obs[iciclo+1],xnobs,tnobs,emptyObsSlots = make_obs(nightStart,nightEnd,ra,dec,obs[iciclo+1],exptime[iciclo+1],maxAltit)
fp.write('%4i %4i\n'%(xnobs,tnobs))
except:
#stdscr.addstr(8,0,sys.exc_info()[0])
errinfo = traceback.format_exc(sys.exc_info()[2]).split('\n')
for ierr in range(len(errinfo)):
stdscr.addstr(11+ierr,0,errinfo[ierr])
pass
if nobs == len(obs[iciclo][obs[iciclo]]):
no_obsTray[iciclo] = True
else:
no_obsTray[iciclo] = False
if no_obsTray.all():
if tryes > ntryes:
break
else:
tryes+=1
else:
fp.write('%10.2f %6.3f %4i %4i 0 0\n'%(nightStart,nightEnd-nightStart,0.,len(np.arange(nightStart,nightEnd,exptime[iciclo]))))
stdscr.addstr(7, 20, ' - No observations this night')
stdscr.addstr(2, 0, ' Observed %i '%(xnobs))
xjj = jj[np.bitwise_not(obs[iciclo])]
xii = ii[np.bitwise_not(obs[iciclo])]
for i in range(len(xii)):
xmap[iciclo][xjj[i]][xii[i]] = 2.0
xjj = jj[np.bitwise_not(obs[iciclo+1])]
xii = ii[np.bitwise_not(obs[iciclo+1])]
for i in range(len(xii)):
xmap[iciclo+1][xjj[i]][xii[i]] = 2.0
xcycle+=1
#stdscr.addstr(0, 0, "Moving file: {0}".format(filename))
#stdscr.addstr(1, 0, "Total progress: [{1:10}] {0}%".format(progress * 10, "#" * progress))
alldone = np.zeros(ncycle) == 1
for i in range(ncycle):
if i == iciclo:
start = '--> '
else:
start = '--- '
stdscr.addstr(i+3, 0, start+'[Tray: %i] - %4i/%i areas observed'%(i,len(obs[i])-len(obs[i][obs[i]]),len(obs[i])))
alldone[i] = len(obs[i][obs[i]]) == 0
stdscr.refresh()
#print '[Ciclo: %i] - %i/%i areas observed'%(i,len(obs[i])-len(obs[i][obs[i]]),len(obs[i]))
#for i in range(len(obs)):
# ax[i].cla()
# ax[i].imshow(xmap[i],aspect='auto',interpolation='nearest',cmap=cmap, norm=norm)
ax.cla()
ax.imshow(xmap[0]+xmap[1]-1,aspect='auto',interpolation='nearest',cmap=cmap, norm=norm)
fig.canvas.draw()
if not no_obsTray.all():
fig.savefig('ymap_%04i.png'%nmap)
nmap += 1
#plt.plot(ii,jj,'.')
if alldone.all():
break
fp.close()
print 'Observations started in ',MJD_dstart
print 'Observations ended in ',MJD
print 'Survey took %i days'%(MJD-MJD_dstart)
return 0
def makeObs(self,T0,T1):
time = T0
hd = 1./24
maskRep = []
if self._nrepeat > 0:
maskRep = np.bitwise_and(self.repeatInfo['day'] > 0,self.repeatInfo['nobs'] < self._nrepeat)
else:
maskRep = self.repeatInfo['day'] > 0
info = ['Observations start @ JD = %12.2f'%T0,
'Observations end @ JD = %12.2f'%T1,
'Total number of tiles: %5i'%self.nTiles(),
'Tiles to observe: %5i'%(self.obsTiles()),
'Tiles to repeate: %5i'%(len(maskRep[maskRep])) ]
# count time spent observing each tray
obsTime = np.zeros(self.ntrays+1)
# Calculate moon for this night
queue = []
ramoon = 0.
decmoon = 0.
distmoon = 0.
rasun = 0.
decsun = 0.
ramoon,decmoon,distmoon = _skysub.lpmoon(T0,self.sitelat,_skysub.lst(T0,self.sitelong))
ill_frac=0.5*(1.-np.cos(_skysub.subtend(ramoon,decmoon,rasun,decsun)))
fullmoon = False
if ill_frac >= self.fullmoon:
fullmoon = True
info.append('Full moon (%5.1f)'%(ill_frac*100))
obsTime[-1] = (T1-T0)
else:
info.append('Moon %5.1f '%(ill_frac*100.))
cra = -99
cdec = -99
while time < T1 and not fullmoon:
obsDone = False
tray = 0
obsTile = -1
# Trying the first tray
while ( (not obsDone) and (0 <= tray < self.ntrays) ):
# Local Sidereal time at start -2hours and end +2hours
lst_start = _skysub.lst(time-2.*hd,self.sitelong)
lst_end = _skysub.lst(time+self.exptime[tray]+2.*hd,self.sitelong)
# Check if there is observation to be repeated this night.
if self._nrepeat > 0:
maskRep = np.bitwise_and(np.bitwise_and(self.repeatInfo['day'] > 0, self.repeatInfo['day'] <= time),self.repeatInfo['nobs'] < self._nrepeat)
else:
maskRep = np.bitwise_and(self.repeatInfo['day'] > 0, self.repeatInfo['day'] <= time)
ra_mask = self.raMask(self._repeatTray,lst_start,lst_end)
repeated = False
if len(maskRep[maskRep]) > 0:
ra_tmpmask = np.bitwise_and(ra_mask,maskRep)
if ra_tmpmask.any():
# make repeate observation
index = np.arange(len(self._ra[self._repeatTray]))[ra_tmpmask]
# Selecting highest in the sky at the center of the observation
lst = _skysub.lst(time+self.exptime[self._repeatTray]/2.,self.sitelong)*360./24.
ha = (lst - self._ra[self._repeatTray][ra_tmpmask])*24./360.
alt = np.array([_skysub.altit(self._dec[self._repeatTray][j],ha[i],self.sitelat)[0] for i,j in enumerate(index)])
if len(alt) == 0:
info.append('[R] No observable tiles available...')
else:
stg = alt.argmax()
if alt[stg] > self.maxAltit[self._repeatTray][index[stg]]*self.rvfac:
info.append('[R] Observation complete... ')
self.repeatInfo['nobs'][index[stg]] += 1
self.repeatInfo['day'][index[stg]] += self._dTime
obsDone = True
repeated = True
tray = self._repeatTray
else:
info.append('[R] Object too low. Alt = %7.2f, Max Alt = %7.2f... '%(alt[stg],self.maxAltit[self._repeatTray][index[stg]]))
ra_mask = self.raMask(tray,lst_start,lst_end)
# Check if makes sense to continue
if ra_mask.any() and not obsDone:
info.append('Number of observable tiles %4i'%len(ra_mask[ra_mask]))
index = np.arange(len(self._ra[tray]))[np.bitwise_and(ra_mask,self.obs[tray])]
# Selecting highest in the sky at the center of the observation
lst = _skysub.lst(time+self.exptime[tray]/2.,self.sitelong)*360./24.
#lst = _skysub.lst(time,sitelong) #*360./24.
ha = (lst - self._ra[tray][ra_mask])*24./360.
alt = np.array([_skysub.altit(self._dec[tray][j],ha[i],self.sitelat)[0] for i,j in enumerate(index)])
if len(alt) == 0:
info.append('No observable tiles available...')
# Go to next tray
tray+=1
else:
#info.append(['Suitable tile available...'])
stg = alt.argmax()
if alt[stg] > self.maxAltit[tray][index[stg]]*self.vfac:
info.append('Observation complete... ')
obsTile = index[stg]
obsDone = True
# check if needs to be repeated
if tray == self._repeatTray and self.repeatInfo['nobs'][index[stg]] < self._nrepeat and self.repeatInfo['day'][index[stg]] < time:
self.repeatInfo['day'][index[stg]] = time+self._dTime
elif tray == self._repeatTray and self.repeatInfo['day'][index[stg]] < time and self._nrepeat < 0:
self.repeatInfo['day'][index[stg]] = time+self._dTime
else:
obsDone = False
info.append('Object too low. Alt = %7.2f, Max Alt = %7.2f... '%(alt[stg],self.maxAltit[tray][index[stg]]*self.vfac))
# Go to next tray
tray+=1
elif repeated:
tray = -self._repeatTray
else:
tray = -1
info.append('No tiles available...')
tray = np.abs(tray)
# Check if observation was performed and in which tray
if obsDone:
if repeated:
obsTime[tray]+=self.rexptime
time+=self.rexptime
else:
obsTime[tray]+=self.exptime[tray]
time+=self.exptime[tray]
self.obs[tray][obsTile] = False
queue.append('TILE%05i %6.2f %+7.2f %16.6f %2i %8.3f'%(obsTile,self._ra[tray][obsTile],self._dec[tray][obsTile],time,tray,self.exptime[tray]))
else:
# Try one more time
# See if there is any field to be repeated in the sky
maskRep = self.repeatInfo['day'] > 0
lst_start = _skysub.lst(time-3.*hd,self.sitelong)
lst_end = _skysub.lst(time+self.rexptime+3.*hd,self.sitelong)
ra_mask = self.raMask(self._repeatTray,lst_start,lst_end)
repeated = False
idx = 0
if len(maskRep[maskRep]) > 0:
ra_tmpmask = np.bitwise_and(ra_mask,maskRep)
if ra_tmpmask.any():
# make repeate observation
index = np.arange(len(self._ra[self._repeatTray]))[ra_tmpmask]
# Selecting highest in the sky at the center of the observation
lst = _skysub.lst(time+self.exptime[self._repeatTray]/2.,self.sitelong)*360./24.
ha = (lst - self._ra[self._repeatTray][ra_tmpmask])*24./360.
alt = np.array([_skysub.altit(self._dec[self._repeatTray][j],ha[i],self.sitelat)[0] for i,j in enumerate(index)])
if len(alt) == 0:
info.append('[R] No observable tiles available...')
else:
stg = alt.argmax()
if alt[stg] > self.maxAltit[self._repeatTray][index[stg]]*self.rvfac:
info.append('[R] Observation complete... ')
self.repeatInfo['nobs'][index[stg]] += 1
self.repeatInfo['day'][index[stg]] += self._dTime
obsDone = True
repeated = True
tray = -self._repeatTray
idx = index[stg]
else:
obsDone = False
info.append('[R] Object too low. Alt = %7.2f, Max Alt = %7.2f [RR]... '%(alt[stg],self.maxAltit[self._repeatTray][index[stg]]*self.rvfac))
if obsDone:
obsTime[self._repeatTray] += self.rexptime
time+=self.rexptime
else:
obsTime[-1] += self.exptime.max()
time+=self.exptime.max()
queueInfo = '%16.6f %6.3f '%(T0,(T1-T0)*24.)
for tray in range(len(obsTime)):
queueInfo += '%10.7f '%(obsTime[tray]*24.)
return info,queue,queueInfo
def subtendang(ra1, dec1, ra2, dec2) : # simple wrapper for _skysub.subtend. To hide dependence on skysub # from pyskycal. return _skysub.subtend(ra1,dec1,ra2,dec2)
def computesunmoon(self) : [ras,decs,dists,toporas,topodecs,xs,ys,zs] = \ _skysub.accusun(self.jd, self.sidereal.val,self.lat) self.SunCoords = celest([ras,decs,self.julian_epoch()]) self.hasun = ha(self.sidereal.val - self.SunCoords.ra.val) [self.altsun,self.azsun,parangsun] = \ _skysub.altit(self.SunCoords.dec.val,self.hasun.val,\ self.lat) self.ztwilight = _skysub.ztwilight(self.altsun) [georam,geodm,geodism,toporam,topodecm,topodistm] = \ _skysub.accumoon(self.jd,self.lat,self.sidereal.val, self.elevsea) self.MoonCoords = celest([toporam,topodecm,self.julian_epoch()]) self.hamoon = ha(self.sidereal.val - self.MoonCoords.ra.val) [self.altmoon,self.azmoon,parangmoon] = \ _skysub.altit(self.MoonCoords.dec.val,self.hamoon.val,\ self.lat) self.sun_moon = _skysub.subtend(self.MoonCoords.ra.val, self.MoonCoords.dec.val,self.SunCoords.ra.val, self.SunCoords.dec.val) # radians self.moonillfrac = 0.5 * (1. - math.cos(self.sun_moon)) self.sun_moon = self.sun_moon * _skysub.DEG_IN_RADIAN self.obj_moon = _skysub.subtend(self.MoonCoords.ra.val, self.MoonCoords.dec.val,self.CoordsOfDate.ra.val, self.CoordsOfDate.dec.val) * _skysub.DEG_IN_RADIAN self.lunsky = _skysub.lunskybright(self.sun_moon, self.obj_moon,0.17,self.altmoon,self.altit,topodistm) [self.barytcor, self.baryvcor] = _skysub.helcor(self.jd,self.CoordsOfDate.ra.val, self.CoordsOfDate.dec.val,self.hanow.val,self.lat,self.elevsea) self.baryjd = self.jd + self.barytcor / _skysub.SEC_IN_DAY # find the jd at the nearest clock-time midnight ... localtimestr = self.calstring(stdz = self.stdz, use_dst = self.use_dst) x = string.split(localtimestr) ymd = x[0] + " " + x[1] + " " + x[2] if float(x[3]) >= 12. : midnstring = ymd + " 23 59 59.99" else : midnstring = ymd + " 0 0 0 " self.jdmid = time_to_jd(midnstring, stdz = self.stdz, \ use_dst = self.use_dst) self.stmid = ra( _skysub.lst(self.jdmid,self.longit)) # elevation correction (in degrees) for horizon depression horiz = math.sqrt(2. * self.elevhoriz / _skysub.EQUAT_RAD) \ * _skysub.DEG_IN_RADIAN setelev = -1. * (0.83 + horiz) hasunset = _skysub.ha_alt(self.SunCoords.dec.val,self.lat,setelev) if hasunset > 900. : self.jdsunset = 1000. # never sets self.jdsunrise = 1000. self.jdcent = 1000. elif hasunset < -900. : self.jdsunset = -1000. # never rises self.jdsunrise = -1000. self.jdcent = -1000. else : self.jdsunset = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \ + hasunset - self.stmid.val)/24. # initial guess # print "entering jdsunset - self.jdsunset = ",self.jdsunset, self.jdsunset = _skysub.jd_sun_alt(setelev,self.jdsunset,self.lat, \ self.longit) self.jdsunrise = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \ - hasunset - self.stmid.val)/24. # initial guess self.jdsunrise = _skysub.jd_sun_alt(setelev,self.jdsunrise,self.lat, \ self.longit) self.jdcent = (self.jdsunset + self.jdsunrise) / 2. hatwilight = _skysub.ha_alt(self.SunCoords.dec.val, self.lat, -18.) if hatwilight > 900. : self.jdevetwi = 1000. # never gets dark self.jdmorntwi = 1000. elif hatwilight < -900. : self.jdevetwi = -1000. # never gets light self.jdmorntwi = -1000. else : self.jdevetwi = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \ + hatwilight - self.stmid.val)/24. # initial guess self.jdevetwi = _skysub.jd_sun_alt(-18.,self.jdevetwi,self.lat, \ self.longit) self.jdmorntwi = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \ - hatwilight - self.stmid.val)/24. # initial guess self.jdmorntwi = _skysub.jd_sun_alt(-18.,self.jdmorntwi,self.lat, \ self.longit) [ramoonmid,decmoonmid,distmoonmid] = \ _skysub.lpmoon(self.jdmid,self.lat,self.sidereal.val) [minmoonalt,maxmoonalt] = _skysub.min_max_alt(self.lat,decmoonmid) # rough (close enough) check to see if moonrise or moonset occur ... if maxmoonalt < setelev : self.jdmoonrise = -100. # never rises # -1000. is used later to signal non-convergence self.jdmoonset = -100. if minmoonalt > setelev : self.jdmoonrise = 100. # never sets self.jdmoonset = 100. else : hamoonset = _skysub.ha_alt(decmoonmid,self.lat,setelev) tmoonrise = _skysub.adj_time(ramoonmid - hamoonset - self.stmid.val) tmoonset = _skysub.adj_time(ramoonmid + hamoonset - self.stmid.val) self.jdmoonrise = self.jdmid + tmoonrise / 24. self.jdmoonrise = _skysub.jd_moon_alt(setelev,self.jdmoonrise, \ self.lat,self.longit,self.elevsea) self.jdmoonset = self.jdmid + tmoonset / 24. self.jdmoonset = _skysub.jd_moon_alt(setelev,self.jdmoonset,self.lat, \ self.longit,self.elevsea) [self.par_dra,self.par_ddec,self.aber_dra,self.aber_ddec] = \ _skysub.parellipse(self.jd,self.ra.val,self.dec.val,self.equinox, self.lat,self.longit)
def computesunmoon(self):
[ras,decs,dists,toporas,topodecs,xs,ys,zs] = \
_skysub.accusun(self.jd, self.sidereal.val,self.lat)
self.SunCoords = celest([ras, decs, self.julian_epoch()])
self.hasun = ha(self.sidereal.val - self.SunCoords.ra.val)
[self.altsun,self.azsun,parangsun] = \
_skysub.altit(self.SunCoords.dec.val,self.hasun.val,\
self.lat)
self.ztwilight = _skysub.ztwilight(self.altsun)
[georam,geodm,geodism,toporam,topodecm,topodistm] = \
_skysub.accumoon(self.jd,self.lat,self.sidereal.val,
self.elevsea)
self.MoonCoords = celest([toporam, topodecm, self.julian_epoch()])
self.hamoon = ha(self.sidereal.val - self.MoonCoords.ra.val)
[self.altmoon,self.azmoon,parangmoon] = \
_skysub.altit(self.MoonCoords.dec.val,self.hamoon.val,\
self.lat)
self.sun_moon = _skysub.subtend(self.MoonCoords.ra.val,
self.MoonCoords.dec.val,
self.SunCoords.ra.val,
self.SunCoords.dec.val) # radians
self.moonillfrac = 0.5 * (1. - math.cos(self.sun_moon))
self.sun_moon = self.sun_moon * _skysub.DEG_IN_RADIAN
self.obj_moon = _skysub.subtend(
self.MoonCoords.ra.val, self.MoonCoords.dec.val,
self.CoordsOfDate.ra.val,
self.CoordsOfDate.dec.val) * _skysub.DEG_IN_RADIAN
self.lunsky = _skysub.lunskybright(self.sun_moon, self.obj_moon, 0.17,
self.altmoon, self.altit, topodistm)
[self.barytcor,
self.baryvcor] = _skysub.helcor(self.jd, self.CoordsOfDate.ra.val,
self.CoordsOfDate.dec.val,
self.hanow.val, self.lat,
self.elevsea)
self.baryjd = self.jd + self.barytcor / _skysub.SEC_IN_DAY
# find the jd at the nearest clock-time midnight ...
localtimestr = self.calstring(stdz=self.stdz, use_dst=self.use_dst)
x = string.split(localtimestr)
ymd = x[0] + " " + x[1] + " " + x[2]
if float(x[3]) >= 12.:
midnstring = ymd + " 23 59 59.99"
else:
midnstring = ymd + " 0 0 0 "
self.jdmid = time_to_jd(midnstring, stdz = self.stdz, \
use_dst = self.use_dst)
self.stmid = ra(_skysub.lst(self.jdmid, self.longit))
# elevation correction (in degrees) for horizon depression
horiz = math.sqrt(2. * self.elevhoriz / _skysub.EQUAT_RAD) \
* _skysub.DEG_IN_RADIAN
setelev = -1. * (0.83 + horiz)
hasunset = _skysub.ha_alt(self.SunCoords.dec.val, self.lat, setelev)
if hasunset > 900.:
self.jdsunset = 1000. # never sets
self.jdsunrise = 1000.
self.jdcent = 1000.
elif hasunset < -900.:
self.jdsunset = -1000. # never rises
self.jdsunrise = -1000.
self.jdcent = -1000.
else:
self.jdsunset = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \
+ hasunset - self.stmid.val)/24. # initial guess
# print "entering jdsunset - self.jdsunset = ",self.jdsunset,
self.jdsunset = _skysub.jd_sun_alt(setelev,self.jdsunset,self.lat, \
self.longit)
self.jdsunrise = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \
- hasunset - self.stmid.val)/24. # initial guess
self.jdsunrise = _skysub.jd_sun_alt(setelev,self.jdsunrise,self.lat, \
self.longit)
self.jdcent = (self.jdsunset + self.jdsunrise) / 2.
hatwilight = _skysub.ha_alt(self.SunCoords.dec.val, self.lat, -18.)
if hatwilight > 900.:
self.jdevetwi = 1000. # never gets dark
self.jdmorntwi = 1000.
elif hatwilight < -900.:
self.jdevetwi = -1000. # never gets light
self.jdmorntwi = -1000.
else:
self.jdevetwi = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \
+ hatwilight - self.stmid.val)/24. # initial guess
self.jdevetwi = _skysub.jd_sun_alt(-18.,self.jdevetwi,self.lat, \
self.longit)
self.jdmorntwi = self.jdmid + _skysub.adj_time(self.SunCoords.ra.val \
- hatwilight - self.stmid.val)/24. # initial guess
self.jdmorntwi = _skysub.jd_sun_alt(-18.,self.jdmorntwi,self.lat, \
self.longit)
[ramoonmid,decmoonmid,distmoonmid] = \
_skysub.lpmoon(self.jdmid,self.lat,self.sidereal.val)
[minmoonalt, maxmoonalt] = _skysub.min_max_alt(self.lat, decmoonmid)
# rough (close enough) check to see if moonrise or moonset occur ...
if maxmoonalt < setelev:
self.jdmoonrise = -100. # never rises
# -1000. is used later to signal non-convergence
self.jdmoonset = -100.
if minmoonalt > setelev:
self.jdmoonrise = 100. # never sets
self.jdmoonset = 100.
else:
hamoonset = _skysub.ha_alt(decmoonmid, self.lat, setelev)
tmoonrise = _skysub.adj_time(ramoonmid - hamoonset -
self.stmid.val)
tmoonset = _skysub.adj_time(ramoonmid + hamoonset - self.stmid.val)
self.jdmoonrise = self.jdmid + tmoonrise / 24.
self.jdmoonrise = _skysub.jd_moon_alt(setelev,self.jdmoonrise, \
self.lat,self.longit,self.elevsea)
self.jdmoonset = self.jdmid + tmoonset / 24.
self.jdmoonset = _skysub.jd_moon_alt(setelev,self.jdmoonset,self.lat, \
self.longit,self.elevsea)
[self.par_dra,self.par_ddec,self.aber_dra,self.aber_ddec] = \
_skysub.parellipse(self.jd,self.ra.val,self.dec.val,self.equinox,
self.lat,self.longit)
def subtendang(ra1, dec1, ra2, dec2):
# simple wrapper for _skysub.subtend. To hide dependence on skysub
# from pyskycal.
return _skysub.subtend(ra1, dec1, ra2, dec2)
