def setUp(self):
self.surv = Survey.getCoreSurvey()
import os
import numpy as np
from astropy.table import Table
from startrail.api import Survey
from startrail.paths import registration_dir
surv = Survey.get_core_survey()
for seq_ind in range(len(surv)):
print(seq_ind)
key = int(surv.sequences[seq_ind].seconds)
data500 = np.loadtxt(os.path.join(registration_dir,
f'merged_{key}_500.csv'),
delimiter=',')
data3000 = np.loadtxt(os.path.join(registration_dir, f'merged_{key}.csv'),
delimiter=',')
Table(names=[
'source_id', 'ra', 'dec', 'phot_bp_mean_flux',
'phot_bp_mean_flux_error'
],
data=data500).write(os.path.join(registration_dir,
f'registration_{seq_ind}_500.csv'),
overwrite=True)
Table(names=[
'source_id', 'ra', 'dec', 'phot_bp_mean_flux',
'phot_bp_mean_flux_error'
],
data=data3000).write(os.path.join(
registration_dir, f'registration_{seq_ind}_3000.csv'),
overwrite=True)
from startrail.api import Survey
from astropy.table import Table
from startrail.paths import registration_dir
from time import time
surv = Survey.getCoreSurvey()
table = Table(names=['seq', 'exp', 'height', 'width'],
dtype=['i4', 'i4', 'i4', 'i4'])
for i in range(len(surv)):
for j in range(len(surv.sequences[i])):
height, width = surv.sequences[i].exposures[j].ccds[1].image.shape
print(time(), i, j, height, width)
table.add_row([i, j, height, width])
table.write(f'{registration_dir}ccdSize.csv', overwrite=True)