def cnfg_tessnomi2min(typedata='simugene'):
'''
2-minute targets from the nominal mission
'''
dictmileinpt = dict()
dictmileinpt['dictpboxinpt'] = dict()
#dictmileinpt['dictpboxinpt']['factosam'] = 1.
#dictmileinpt['dictpboxinpt']['minmperi'] = 5.394
#dictmileinpt['dictpboxinpt']['maxmperi'] = 5.402
# oversampling factor (wrt to transit duration) when rebinning data to decrease the time resolution
dictmileinpt['dictpboxinpt']['factduracade'] = 2.
# factor by which to oversample the frequency grid
dictmileinpt['dictpboxinpt']['factosam'] = 10.
# number of duty cycle samples
dictmileinpt['dictpboxinpt']['numbdcyc'] = 3
# spread in the logarithm of duty cycle
dictmileinpt['dictpboxinpt']['deltlogtdcyc'] = 0.5
# epoc steps divided by trial duration
dictmileinpt['dictpboxinpt']['factdeltepocdura'] = 0.5
dictlcurtessinpt = dict()
dictlcurtessinpt['booltpxfonly'] = True
troia.init( \
typeinst='TESS', \
typepopl='tessnomi2min', \
typedata=typedata, \
dictmileinpt=dictmileinpt, \
dictlcurtessinpt=dictlcurtessinpt, \
)
def cnfg_rvel():
'''
High RV targets from Gaia DR2
'''
troia.init( \
typepopl='rvel', \
)
def cnfg_XRB():
'''
XRBs in Kartik's catalog
'''
troia.init( \
liststrgmast=['HR6819', 'Vela X-1'], \
typepopl='XRB', \
)
def cnfg_TTL5():
'''
Simulated analysis for simulatenaous data collected by TESS EM2 and TESS L5
'''
troia.init( \
typeinst='TTL5', \
typepopl='nomi', \
typedata='toyy', \
)
def cnfg_candidates_Rom():
'''
Targets from Rom's RNN
'''
listticitarg = [
21266729, 14397653, 12967420, 3892500, 3664978, 1008024, 1066665,
2761086, 3542993
]
troia.init( \
listticitarg=listticitarg, \
typepopl='candidates_Rom', \
typeinst='TESS', \
)
def cnfg_prev():
'''
Previous discoveries
'''
dictmileinpt = dict()
dictmileinpt['dictpboxinpt'] = dict()
dictmileinpt['dictpboxinpt']['factosam'] = 0.1
troia.init( \
liststrgmast=['V723 Mon'], \
typeinst='TESS', \
typepopl='prev', \
dictmileinpt=dictmileinpt, \
)
def cnfg_cycle3_G03254():
'''
Targets in TESS GI Cycle 3 proposal (PI: Tansu Daylan, G03254)
'''
path = os.environ['TROIA_DATA_PATH'] + '/data/G03254_Cycle3_GI.csv'
objtfile = open(path, 'r')
listticitarg = []
k = 0
for line in objtfile:
if k != 0 and not line.startswith('#') and line != '\n':
strgtici = line.split(',')[0]
listticitarg.append(strgtici)
k += 1
if len(listticitarg) == 10:
break
listticitarg = np.array(listticitarg)
listticitarg = listticitarg.astype(int)
listticitarg = np.unique(listticitarg)
troia.init( \
typepopl='cycle3_G03254', \
listticitarg=listticitarg, \
typeinst='TESS', \
)