def sun_moon_filter(obj=None, frame=None, tstart=None, tend=None, tstep=None, eq=None, gal=None, mode=None):
if eq is None and gal is None:
eq = equatorial(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
gal = galactic(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
if eq is None and gal is not None:
eq = equatorial(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
if eq is not None and gal is None:
gal = galactic(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
skycoords_sun = equatorial(obj='sun', frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
skycoords_moon = equatorial(obj='moon', frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
dist_sun = list()
dist_moon = list()
for i in range(0,len(eq)):
dist_sun.append(eq[i].separation(skycoords_sun[i]).degree)
dist_moon.append(eq[i].separation(skycoords_moon[i]).degree)
data = zip(eq, gal, dist_sun, dist_moon)
data2 = list()
for item in data:
if item[2] < 20.0:
continue
elif item[3] < 5.0:
continue
else:
data2.append(item)
return data2
zmax = 90 #deg
bin_size = 0.1 #deg/pix
dim = (2 *
roi) / bin_size #gives dimension of cmap diameter/bin size = num pixels
hdulist_start.close()
hdulist_end.close()
#make array that will hold stacked counts map data
total_cmap_data = np.zeros((int(dim), int(dim)), dtype=float)
#make list of SkyCoord objects with coordinate data
skycoords_eq = equatorial(obj='jupiter',
tstart=time_start,
tend=time_end,
tstep=time_step) #used to find ra and dec
skycoords_gal = galactic(
obj='jupiter', tstart=time_start, tend=time_end,
tstep=time_step) #used to remove points too close to galactic plane
#removes times/positions when object is near bright sources (sun, moon, others)
data = bright_source_filter(eq=skycoords_eq,
gal=skycoords_gal,
tstart=time_start,
tend=time_end,
tstep=time_step,
times=times)
#loop through times to create stacked counts map
for i in range(1, len(data)):
def plane_and_sources_filter(obj=None, frame=None, tstart=None, tend=None, tstep=None, eq=None, gal=None, mode=None): #, times=None):
if eq is None and gal is None:
eq = equatorial(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
gal = galactic(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
if eq is None and gal is not None:
eq = equatorial(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
if eq is not None and gal is None:
gal = galactic(obj=obj, frame=frame, tstart=tstart, tend=tend, tstep=tstep, mode=mode)
#make list of SkyCoord objects for bright sources --- from Fermi LAT 8-Year Point Source Catalog
source1 = SkyCoord('21h58m51.4s -30d13m30s')
source2 = SkyCoord('04h57m02.6s -23d24m54s')
source3 = SkyCoord('05h38m50.1s -44d05m10s')
source4 = SkyCoord('07h21m57.2s +71d20m26s')
source5 = SkyCoord('04h28m41.5s -37d56m25s')
source6 = SkyCoord('12h56m10.0s -05d47m19s')
source7 = SkyCoord('11h04m28.5s +38d12m25s')
source8 = SkyCoord('15h12m51.5s -09d06m23s')
source9 = SkyCoord('22h53m59.1s +16d09m02s')
source10 = SkyCoord('18h36m13.3s +59d25m40s')
skycoords_sources = [source1, source2, source3, source4, source5, source6, source7, source8, source9, source10]
dist_1 = list()
dist_2 = list()
dist_3 = list()
dist_4 = list()
dist_5 = list()
dist_6 = list()
dist_7 = list()
dist_8 = list()
dist_9 = list()
dist_10 = list()
for i in range(0,len(eq)):
dist_1.append(eq[i].separation(source1).degree)
dist_2.append(eq[i].separation(source2).degree)
dist_3.append(eq[i].separation(source3).degree)
dist_4.append(eq[i].separation(source4).degree)
dist_5.append(eq[i].separation(source5).degree)
dist_6.append(eq[i].separation(source6).degree)
dist_7.append(eq[i].separation(source7).degree)
dist_8.append(eq[i].separation(source8).degree)
dist_9.append(eq[i].separation(source9).degree)
dist_10.append(eq[i].separation(source10).degree)
data = zip(eq, gal, dist_1, dist_2, dist_3, dist_4, dist_5, dist_6, dist_7, dist_8, dist_9, dist_10)
data2 = list()
for item in data:
if abs(item[1].b.degree) < 20.0:
continue
elif item[2] < 10.0:
continue
elif item[3] < 10.0:
continue
elif item[4] < 10.0:
continue
elif item[5] < 10.0:
continue
elif item[6] < 10.0:
continue
elif item[7] < 10.0:
continue
elif item[8] < 10.0:
continue
elif item[9] < 10.0:
continue
elif item[10] < 10.0:
continue
elif item[11] < 10.0:
continue
else:
data2.append(item)
return data2
emax = float(energyrange[1]) #MeV
num_bins = int(math.log10(emax/emin)*10)
zmax = 90 #deg
bin_size = 0.2 #deg/pix
dim = (2*roi)/bin_size #gives dimension of cmap diameter/bin size = num pixels
hdulist.close()
#make array that will hold stacked counts map data
total_cmap_data = np.zeros((int(dim),int(dim)), dtype = float)
#total_ccube_data = np.zeros((20,int(dim),int(dim)), dtype = float)
#total_expcube2_data = np.zeros((int(dim),int(dim)), dtype = float)
total_expcube_data = np.zeros((21, int(dim), int(dim)), dtype = float)
#make list of SkyCoord objects with coordinate data
skycoords = equatorial(obj='sun', tstart=time_start, tend=time_end, tstep=time_step)
#loop through times to create stacked counts map
for val in range(1,len(skycoords)):
ra = (skycoords[val-1].ra).degree
dec = (skycoords[val-1].dec).degree
#gtselect
filter['evclass'] = 128
filter['evtype'] = 3
filter['rad'] = roi
filter['emin'] = emin
filter['emax'] = emax
filter['zmax'] = zmax
filter['infile'] = data_file