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_pp_conf.py
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_pp_conf.py
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"""
configuration file for photometry pipeline
2016-01-27, [email protected]
"""
from __future__ import print_function
import os
import sys
import logging
import warnings
try:
from astropy import wcs
from astropy.io import fits
except ImportError:
print('Module astropy not found. Please install with: pip install astropy')
sys.exit()
try:
import numpy as np
except ImportError:
print('Module numpy not found. Please install with: pip install numpy')
sys.exit()
try:
from astroquery.jplhorizons import Horizons
except ImportError:
print('Module astroquery not found. Please install with: pip install '
'astroquery')
sys.exit()
try:
from pandas import read_sql
except ImportError:
print('Module pandas not found. Please install with: pip install '
'pandas')
sys.exit()
# import pipeline-specific modules
from toolbox import *
# only import if Python3 is used
if sys.version_info > (3, 0):
from past.builtins import execfile
else:
raise RuntimeError(
'This is 2018. You should really be using Python 3 by now. '
'PP now has only limited support for Python 2.7. Please '
'install Python 3 (preferentially through Anaconda).')
# def setup_diagnostics():
# """
# This function sets the current data and diagnostics root
# directories. The setup can and should be re-run in the current working
# directory
# """
# # set up data and diagnostics directories
# dataroot = os.getcwd() + '/'
# diagroot = dataroot + '.diagnostics/'
# # create diagnostics directory
# if not os.path.exists(diagroot):
# os.mkdir(diagroot)
# # define diagnostic website filenames
# index_filename = 'diagnostics.html'
# reg_filename = '.diagnostics/' + 'registration.html'
# cal_filename = '.diagnostics/' + 'calibration.html'
# res_filename = '.diagnostics/' + 'results.html'
# return (dataroot, diagroot, index_filename,
# reg_filename, cal_filename, res_filename)
# suppress runtime and astropy warnings
warnings.simplefilter(action="ignore", category=RuntimeWarning)
warnings.filterwarnings('ignore', category=wcs.FITSFixedWarning)
warnings.filterwarnings('ignore', category=fits.column.VerifyWarning)
warnings.filterwarnings('ignore', category=fits.card.VerifyWarning)
# following warning gets cast by Gaia query: XXX.convert_unit_to(u.deg)
warnings.filterwarnings('ignore', category=np.ma.core.MaskedArrayFutureWarning)
warnings.filterwarnings('ignore', category=UserWarning)
warnings.filterwarnings('ignore', category=FutureWarning)
# read photometry pipeline root path from environment variable
rootpath = os.environ.get('PHOTPIPEDIR')
if rootpath is None:
print('ERROR: PHOTPIPEDIR variable has not been set')
sys.exit(0)
# ### TBD
# # define and read telescope setup parameters (obsparam)
# telescope_parameters = {}
# instrument_identifiers = {}
# implemented_telescopes= []
# execfile(rootpath + '/setup/vatt4k.py')
# potential FITS header keywords for looking up the instrument
# any unique header keyword works as a potential identifier
instrument_keys = ['PPINSTRU', 'LCAMMOD', 'FPA', 'CAM_NAME', 'INSTRUME',
'TELESCOP']
execfile(rootpath+'/setup/telescopes.py')
# set diagnostics root directory and logging file
# master_diagroot is the directory where the pipeline has been started from
# i.e., potentially, the root directory of all underlying data
# this definition is outside setup_diagnostics(), as it is called only once
diagnostics_summary = os.getcwd() + '/summary.html'
use_diagnostics_summary = False
# set this to True, if you want each
# pp_run process to report into a summary html catalog
# setting up directory paths and logging file
#dataroot, diagroot, index_filename, \
# reg_filename, cal_filename, res_filename = setup_diagnostics()
# logging setup
log_formatline = '%(filename)s: %(message)s [%(asctime)s]'
log_level = logging.DEBUG
log_datefmt = '%m/%d/%Y %H:%M:%S'
log_filename = 'LOG'
# start pp_process_idx counter (if using 'pp_run all')
pp_process_idx = 0
# Translation table to transform target names to file names
# space and / --> _
if sys.version_info > (3, 0):
target2filename = str.maketrans(' /()', '____')
else:
import string
target2filename = string.maketrans(' /()', '____')
# available catalogs
# list of available catalogs
allcatalogs = ['URAT-1', '2MASS', 'SDSS-R9', 'SDSS-R13', 'APASS9', 'GAIA',
'PANSTARRS', 'TGAS', 'SkyMapper', 'USNO-B1']
# catalog magnitude systems
allcatalogs_magsys = {'URAT-1': 'Vega',
'2MASS': 'Vega',
'SDSS-R9': 'AB',
'SDSS-R13': 'AB',
'APASS9': 'Vega',
'GAIA': 'Vega',
'PANSTARRS': 'AB',
'TGAS': 'Vega',
'SkyMapper': 'AB',
'USNO-B1': 'Vega'}
# ---- pipeline preferences
# (if you don't know what you're doing, better don't mess around here)
# minimum number of reference sources in astrometric reference catalog
# in one of the frames (middle one of sequence); try other catalog
# if number of sources less than this number
min_sources_astrometric_catalog = 10
# how often to run SCAMP using one single catalog?
n_registration_repetitions = 2
# minimum number of reference sources in photometric reference catalog
min_sources_photometric_catalog = 3
# SCAMP contrast criteria for a good fit
scamp_as_contrast_limit = 2.5
scamp_xy_contrast_limit = 2.5
# positional uncertainty (arcsec) for target identification and
# cross-matching used in pp_photometry
pos_epsilon = 0.5
# flux threshold and margin for finding optimum aperture radius in
# pp_photometry
fluxlimit_aprad = 0.7
fluxmargin_aprad = 0.05
# minimum number of stars (integer number) or fraction (float) to use in
# photometric calibration
minstars = 0.5
# solar color margin
# solar color filtering allows for color indices
# [color-_pp_conf.solcol -- color+_pp_conf.solcol]
solcol = 0.2
# photometry flavor ['APER', 'ISOCOR', 'AUTO']
photmode = 'APER'
# don't change this unless you understand what you are doing