#ts = QTable([times, exptimes, x, y, ray, decx, flux, fluxunc], names=('time', 'exptime', 'x', 'y', 'ra', 'dec', 'flux', 'flux_unc'), meta={'name': filter})
import numpy as np
from astropy.time import Time
from astropy.table import QTable, Table
from astropy.io import fits
__all__ = ['timeSeries']
[docs]class timeSeries:
'''
The timeSeries
Attributes
----------
name: str
name of target in string format.
'''
def __init__(self, times, flux, exptimes = [], x = [], y = [], ra = [], dec = [], flux_unc = [], apsum = [], apsum_unc = [], fit_times = [], fit_flux = [], toml = [], OmC = [], cycle = []):
self.times = times
self.flux = flux
self.exptimes = exptimes
self.x = x
self.y = y
self.ra = ra
self.dec = dec
self.flux_unc = flux_unc
self.apsum = apsum
self.apsum_unc = apsum_unc
self.fit_times = fit_times
self.fit_flux = fit_flux
self.toml = toml
self.OmC = OmC
self.cycle = cycle
# self.symbo = None # make a symbolic expression to represent the curve analytically.
[docs] def toTable(self, name):
self.table = QTable([times, flux], names=('time','flux'), meta={'name': name})
colnom = ['flux_unc', 'exptime', 'apsum', 'apsum_unc', 'x', 'y', 'ra', 'dec']
cols = [self.flux_unc, self.exptimes, self.apsum, self.apsum_unc, self.x, self.y, self.ra, self.dec]
for col in range(len(colnom)):
if cols[col] != []:
try:
self.table[colnom[col]] = cols[col]
except:
print('Error merging', colnom[col], ' with table.')