def fitsToRoot():
# Create root file and tree
f = TFile(path_root + "GRID_2008_2015.root", "RECREATE")
tree = TTree("data_GRID", "data_GRID")
obt = array('d', [0])
tree.Branch('obt', obt, 'obt/D')
contact = array('I', [0])
tree.Branch('contact', contact, 'contact/I')
filenames = filesInFolderAsList(path)
c = 0
for name in filenames:
c = c + 1
print str(c) + "/" + str(len(filenames))
# open fits file
hdulist = fits.open(path + name)
#hdulist.info()
#print(hdulist['EVENTS'].columns)
# Get table inside EVENTS
event_data = Table(hdulist['EVENTS'].data)
#print(event_data['TIME'])
contact[0] = int(name[3:9])
print contact[0]
#Iterate through tabel and append TIME to tree
for row in event_data:
obt[0] = (row['TIME'])
#if (354153660 - 60) < obt[0] and obt[0] < (362102460 + 60):
tree.Fill()
hdulist.close()
#tree.Scan("","","col=20.6f")
tree.Print()
tree.Show(0)
#tree.Scan("obt","", "col=20.6f")
tree.GetCurrentFile().Write()
tree.GetCurrentFile().Close()
def computation(name, start_year, start_month, start_day, start_hour,
start_minute, start_second, end_year, end_month, end_day,
end_hour, end_minute, end_second):
# set initial and final times
aepoch = time.strptime('2004 1 1 0 0 0', '%Y %m %d %H %M %S')
tepoch = timegm(aepoch)
dini = datetime(start_year, start_month, start_day, start_hour,
start_minute, start_second) # start date for the analysis
dfin = datetime(end_year, end_month, end_day, end_hour, end_minute,
end_second) # stop date for the analysis
dt = timedelta(
0, 1
) # time interval for orbital sampling (1 s ~ 8 km ~24us max timing error)
# create output root file and tree
f = TFile(name, "recreate")
tree = TTree("position", "start of 2017 to 2017-11-09T10:09:10")
year = array('i', [0])
month = array('i', [0])
day = array('i', [0])
hour = array('i', [0])
min = array('i', [0])
sec = array('i', [0])
X = array('f', [0.])
Y = array('f', [0.])
Z = array('f', [0.])
lon = array('f', [0.])
lat = array('f', [0.])
h = array('f', [0.])
obt = array('d', [0.])
tree.Branch('year', year, 'year/I')
tree.Branch('month', month, 'month/I')
tree.Branch('day', day, 'day/I')
tree.Branch('hour', hour, 'hour/I')
tree.Branch('min', min, 'min/I')
tree.Branch('sec', sec, 'sec/I')
tree.Branch('X', X, 'X/F')
tree.Branch('Y', Y, 'Y/F')
tree.Branch('Z', Z, 'Z/F')
tree.Branch('lon', lon, 'lon/F')
tree.Branch('lat', lat, 'lat/F')
tree.Branch('h', h, 'h/F')
tree.Branch('obt', obt, 'obt/D')
# load AGILE TLE
agile_tle_file = open('AGILE_TLE_2017-Feb2018.dat',
'r') #data from 22 March 2015 (newconf data)
agile_tle_list = agile_tle_file.readlines()
agile_tle_list.reverse()
# track AGILE orbit
l5 = agile_tle_list.pop()
l6 = agile_tle_list.pop()
agile0 = twoline2rv(l5, l6, wgs72)
l5 = agile_tle_list.pop()
l6 = agile_tle_list.pop()
agile1 = twoline2rv(l5, l6, wgs72)
# loop on time range
d = dini
counter = 0
while d <= dfin:
while d > agile1.epoch:
print("From time ", d, " using TLE: ", l5)
agile0 = agile1
l3 = agile_tle_list.pop()
l4 = agile_tle_list.pop()
agile1 = twoline2rv(l3, l4, wgs72)
xagile, vagile = agile0.propagate(d.year, d.month, d.day, d.hour,
d.minute,
d.second + d.microsecond * 1.e-6)
x0 = np.array(xagile)
print xagile
X[0] = x0[0]
Y[0] = x0[1]
Z[0] = x0[2]
year[0] = d.year
month[0] = d.month
day[0] = d.day
hour[0] = d.hour
min[0] = d.minute
sec[0] = d.second
t = Time(d)
t.delta_ut1_utc = iers_a.ut1_utc(t)
s = t.sidereal_time('mean', 'greenwich')
s.wrap_angle = 180 * u.deg
r = rot.rotation_z(s)
x0_ecef = r.dot(x0)
lat[0], lon[0], h[0] = rot.ecef2geodetic(x0_ecef[0], x0_ecef[1],
x0_ecef[2])
obt[0] = timegm(d.timetuple()) - tepoch
#print (d, year[0], month[0], day[0], hour[0], min[0], sec[0], obt[0], x0[0], x0[1], x0[2], lon[0], lat[0], h[0])
counter = counter + 1
if counter == 5000:
counter = 0
print(year[0], month[0], day[0], hour[0], min[0], sec[0])
tree.Fill()
d = d + dt
tree.GetCurrentFile().Write()
tree.GetCurrentFile().Close()
'''
