def test_testpoint(self):
output = LATTEutils.tess_point(outdir, '55525572')
self.assertAlmostEqual(output[1],
72.69404300000001,
places=5,
msg="TESS point RA is not correct")
self.assertAlmostEqual(output[2],
-60.905449,
places=4,
msg="TESS point Dec is not correct")
def process(indir, tic, sectors_in, transit_list, args):
sectors_all, ra, dec = LATTEutils.tess_point(indir, tic)
try:
# Sucessfully entered sectors
# check that the target was actually observed in the stated sector
sectors = list(set(sectors_in) & set(sectors_all))
if len(sectors) == 0:
print ("The target was not observed in the sector(s) you stated ({}). \
Therefore take all sectors that it was observed in: {}".format(sectors, sectors_all))
sectors = sectors_all
except:
sectors = sectors_all
# download the data
alltime, allflux, allflux_err, all_md, alltimebinned, allfluxbinned, allx1, allx2, ally1, ally2, alltime12, allfbkg, start_sec, end_sec, in_sec, tessmag, teff, srad = LATTEutils.download_data(indir, sectors, tic)
# in my input file the the times start at 0 for each sector so I need the line below
#transit_list = list(np.array(transit_list) + np.nanmin(alltime))
# ------------
simple = False
BLS = False
model = False
save = True
DV = True
# generate the plots
try:
LATTEbrew.brew_LATTE(tic, indir, syspath, transit_list, simple, BLS, model, save, DV, sectors, sectors_all, alltime, allflux, allflux_err, all_md, alltimebinned, allfluxbinned, allx1, allx2, ally1, ally2, alltime12, allfbkg, start_sec, end_sec, in_sec, tessmag, teff, srad, ra, dec, args)
tp_downloaded = True
except:
# see if it made any plots - often it just fails on the TPs as they are very large
if exists("{}/{}/{}_fullLC_md.png".format(indir,tic,tic)):
print ("couldn't download TP but continue anyway")
tp_downloaded = False
else:
mnd = {}
mnd['TICID'] = -99
return mnd
# check again whether the TPs downloaded - depending on where the code failed it might still have worked.
if exists("{}/{}/{}_aperture_size.png".format(indir,tic,tic)):
tp_downloaded = True
else:
tp_downloaded = False
print ("code ran but no TP -- continue anyway")
# -------------
# check whether it's a TCE or a TOI
# TCE -----
lc_dv = np.genfromtxt('{}/data/tesscurl_sector_all_dv.sh'.format(indir), dtype = str)
TCE_links = []
for i in lc_dv:
if str(tic) in str(i[6]):
TCE_links.append(i[6])
if len(TCE_links) == 0:
TCE = " - "
TCE = False
else:
TCE_links = np.sort(TCE_links)
TCE_link = TCE_links[0] # this link should allow you to acess the MAST DV report
TCE = True
# TOI -----
TOI_planets = pd.read_csv('{}/data/TOI_list.txt'.format(indir), comment = "#")
TOIpl = TOI_planets.loc[TOI_planets['TIC'] == float(tic)]
if len(TOIpl) == 0:
TOI = False
else:
TOI = True
TOI_name = (float(TOIpl["Full TOI ID"]))
# -------------
# return the tic so that it can be stored in the manifest to keep track of which files have already been produced
# and to be able to skip the ones that have already been processed if the code has to be restarted.
mnd = {}
mnd['TICID'] = tic
mnd['MarkedTransits'] = transit_list
mnd['Sectors'] = sectors_all
mnd['RA'] = ra
mnd['DEC'] = dec
mnd['SolarRad'] = srad
mnd['TMag'] = tessmag
mnd['Teff'] = teff
mnd['thissector'] = sectors
# make empty fields for the test to be checked
if TOI == True:
mnd['TOI'] = TOI_name
else:
mnd['TOI'] = " "
if TCE == True:
mnd['TCE'] = "Yes"
mnd['TCE_link'] = TCE_link
else:
mnd['TCE'] = " "
mnd['TCE_link'] = " "
mnd['EB'] = " "
mnd['Systematics'] = " "
mnd['TransitShape'] = " "
mnd['BackgroundFlux'] = " "
mnd['CentroidsPositions'] = " "
mnd['MomentumDumps'] = " "
mnd['ApertureSize'] = " "
mnd['InoutFlux'] = " "
mnd['Keep'] = " "
mnd['Comment'] = " "
mnd['starttime'] = np.nanmin(alltime)
return mnd
sectors = str(args.sector)
# Check whether we are looking at an FFI
# The FFI information needs to be stored straight away so a folder needs to be created to store them.
# The folder for the non-FFIs is created later after the user choses whether to 'save' data or not.
if args.FFI == True:
newpath = '{}/{}'.format(indir,tic)
# if this folder doesn't exist then create it...
if not exists(newpath):
os.makedirs(newpath)
# --------
# Run a function called TESS-point. This returns the sectors in which the target has
# been observed as well as the RA and DEC of the target.
sectors_all, ra, dec = utils.tess_point(indir, tic)
# --------
# --------------------------------
# If either the TIC or the sectors or both have not already been identified, run Tkinter (interactive tools)
else:
# make a GUI interface with TKinter
ROOT = tk.Tk()
ROOT.withdraw()
# if this hasn't already been identified as an FFI through the command line, give the option to chose this when entering the TIC ID
if args.FFI == False:
# -----------
class TICprompt(simpledialog.Dialog):
