import os import sys import numpy as np from stsci.tools import fileutil, teal, logutil from astropy.io import fits from stsci.imagestats import ImageStats from . import util from . import processInput __taskname__ = "drizzlepac.staticMask" _step_num_ = 1 log = logutil.create_logger(__name__) #this is called by the user def createMask(input=None, static_sig=4.0, group=None, editpars=False, configObj=None, **inputDict): """ The user can input a list of images if they like to create static masks as well as optional values for static_sig and inputDict. The configObj.cfg file will set the defaults and then override them with the user options. """ if input is not None: inputDict["static_sig"]=static_sig inputDict["group"]=group inputDict["updatewcs"]=False
from photutils import detect_sources, source_properties, deblend_sources from photutils import Background2D, MedianBackground from photutils import DAOStarFinder from tweakwcs import FITSWCS from stwcs.distortion import utils from stwcs import wcsutil from stsci.tools import fileutil as fu from stsci.tools import parseinput from stsci.tools import logutil import pysynphot as S from ..tweakutils import build_xy_zeropoint __taskname__ = 'astrometric_utils' log = logutil.create_logger(__name__, level=logutil.logging.INFO, stream=sys.stdout) ASTROMETRIC_CAT_ENVVAR = "ASTROMETRIC_CATALOG_URL" DEF_CAT_URL = 'http://gsss.stsci.edu/webservices' if ASTROMETRIC_CAT_ENVVAR in os.environ: SERVICELOCATION = os.environ[ASTROMETRIC_CAT_ENVVAR] else: SERVICELOCATION = DEF_CAT_URL MODULE_PATH = os.path.dirname(inspect.getfile(inspect.currentframe())) VEGASPEC = os.path.join(os.path.dirname(MODULE_PATH), 'data','alpha_lyr_stis_008.fits')
from . import tweakutils from . import imgclasses from . import catalogs from . import imagefindpars from . import refimagefindpars __taskname__ = 'tweakreg' # unless someone comes up with anything better PSET_SECTION = '_SOURCE FINDING PARS_' PSET_SECTION_REFIMG = '_REF IMAGE SOURCE FINDING PARS_' # !! Use pre and post underscores to hide this added section in TEAL, so that # TEAL allows its data to stay alongside the expected data during a call to # TweakReg(). All of this needs to be revisited. log = logutil.create_logger(__name__, level=logutil.logging.NOTSET) def _managePsets(configobj, section_name, task_name, iparsobj=None, input_dict=None): """ Read in parameter values from PSET-like configobj tasks defined for source-finding algorithms, and any other PSET-like tasks under this task, and merge those values into the input configobj dictionary. """ # Merge all configobj instances into a single object configobj[section_name] = {} # Load the default full set of configuration parameters for the PSET: iparsobj_cfg = teal.load(task_name) # Identify optional parameters in input_dicts that are from this # PSET and add it to iparsobj:
import shutil from stsci.tools import logutil from astropy.io import fits from .. import astrodrizzle from .. import wcs_functions from . import align_utils from . import astrometric_utils as amutils from . import cell_utils MSG_DATEFMT = '%Y%j%H%M%S' SPLUNK_MSG_FORMAT = '%(asctime)s %(levelname)s src=%(name)s- %(message)s' log = logutil.create_logger(__name__, level=logutil.logging.NOTSET, stream=sys.stdout, format=SPLUNK_MSG_FORMAT, datefmt=MSG_DATEFMT) class HAPProduct: """ HAPProduct is the base class for the various products generated during the astrometry update and mosaicing of image data. """ def __init__(self, prop_id, obset_id, instrument, detector, filename, filetype, log_level): # set logging level to user-specified level log.setLevel(log_level) # Make sure the proposal ID is a 5-character string self.prop_id = prop_id.zfill(5)
:Authors: Warren Hack, Mihai Cara :License: `<http://www.stsci.edu/resources/software_hardware/pyraf/LICENSE>`_ """ from __future__ import division, print_function import numpy as np from numpy import linalg as npla from stsci.tools import logutil # This is specifically NOT intended to match the package-wide version information. __version__ = '0.4.0' __version_date__ = '10-Oct-2014' log = logutil.create_logger(__name__) if hasattr(np, 'float128'): ndfloat128 = np.float128 elif hasattr(np, 'float96'): ndfloat128 = np.float96 else: ndfloat128 = np.float64 def RADTODEG(rad): return (rad * 180. / np.pi) def DEGTORAD(deg): return (deg * np.pi / 180.)
from stwcs import wcsutil from stsci.tools import parseinput, logutil from stsci.skypac.utils import get_ext_list, ext2str from . import updatehdr from . import linearfit from . import util __taskname__ = 'tweakback' # unless someone comes up with anything better # This is specifically NOT intended to match the package-wide version information. __version__ = '0.4.0' __version_date__ = '14-Oct-2014' log = logutil.create_logger(__name__, level=logutil.logging.NOTSET) if hasattr(np, 'float128'): ndfloat128 = np.float128 elif hasattr(np, 'float96'): ndfloat128 = np.float96 else: ndfloat128 = np.float64 #### Primary function def tweakback(drzfile, input=None, origwcs=None, newname=None, wcsname=None,
from . import photometry_tools try: from matplotlib import pyplot as plt except Exception: plt = None # Default background determination parameter values BKG_BOX_SIZE = 50 BKG_FILTER_SIZE = 3 CATALOG_TYPES = ['aperture', 'segment'] __taskname__ = 'catalog_utils' log = logutil.create_logger(__name__, level=logutil.logging.INFO, stream=sys.stdout) class CatalogImage: def __init__(self, filename): if isinstance(filename, str): self.imghdu = fits.open(filename) self.imgname = filename else: self.imghdu = filename self.imgname = filename.filename() # Get header information to annotate the output catalogs if "total" in self.imgname: self.ghd_product = "tdp"
from astropy.io import fits import drizzlepac from drizzlepac import alignimages from drizzlepac import astrodrizzle from drizzlepac import wcs_functions from drizzlepac.hlautils.catalog_utils import HAPCatalogs from drizzlepac.hlautils import config_utils from drizzlepac.hlautils import poller_utils from drizzlepac.hlautils import processing_utils as proc_utils from drizzlepac.hlautils import sourcelist_generation from stsci.tools import logutil __taskname__ = 'hapsequencer' log = logutil.create_logger('hapsequencer', level=logutil.logging.INFO, stream=sys.stdout) __version__ = 0.1 __version_date__ = '19-Mar-2019' # ---------------------------------------------------------------------------------------------------------------------- # set up instrument/detector-specific params # Parameters imported from the following HLA classic parameter files: # - https://grit.stsci.edu/HLA/hla/tree/master/software/trunk/HLApipeline/HLApipe/param/parameter_acs_hrc.cfg # - https://grit.stsci.edu/HLA/hla/tree/master/software/trunk/HLApipeline/HLApipe/param/parameter_acs_sbc.cfg # - https://grit.stsci.edu/HLA/hla/tree/master/software/trunk/HLApipeline/HLApipe/param/parameter_acs_wfc.cfg # - https://grit.stsci.edu/HLA/hla/tree/master/software/trunk/HLApipeline/HLApipe/param/parameter_wfc3_ir.cfg # - https://grit.stsci.edu/HLA/hla/tree/master/software/trunk/HLApipeline/HLApipe/param/parameter_wfc3_uvis.cfg param_dict = {