def process_flat_band(utdate, refdate, band, obsids_off, obsids_on,
config):
from libs.products import PipelineStorage
igr_path = IGRINSPath(config, utdate)
igr_storage = PipelineStorage(igr_path)
flat_off_filenames = igr_path.get_filenames(band, obsids_off)
flat_on_filenames = igr_path.get_filenames(band, obsids_on)
if 1: # process flat off
flat_offs_hdu_list = [pyfits.open(fn_)[0] for fn_ in flat_off_filenames]
flat_offs = [hdu.data for hdu in flat_offs_hdu_list]
flat = FlatOff(flat_offs)
flatoff_products = flat.make_flatoff_hotpixmap(sigma_clip1=100,
sigma_clip2=5)
igr_storage.store(flatoff_products,
mastername=flat_off_filenames[0],
masterhdu=flat_offs_hdu_list[0])
if 1: # flat on
from libs.storage_descriptions import (FLAT_OFF_DESC,
HOTPIX_MASK_DESC,
FLATOFF_JSON_DESC)
desc_list = [FLAT_OFF_DESC, HOTPIX_MASK_DESC, FLATOFF_JSON_DESC]
flatoff_products = igr_storage.load(desc_list,
mastername=flat_off_filenames[0])
flat_on_hdu_list = [pyfits.open(fn_)[0] for fn_ in flat_on_filenames]
flat_ons = [hdu.data for hdu in flat_on_hdu_list]
from libs.master_calib import get_master_calib_abspath
fn = get_master_calib_abspath("deadpix_mask_%s_%s.fits" % (refdate,
band))
deadpix_mask_old = pyfits.open(fn)[0].data.astype(bool)
flat_on = FlatOn(flat_ons)
flaton_products = flat_on.make_flaton_deadpixmap(flatoff_products,
deadpix_mask_old=deadpix_mask_old)
igr_storage.store(flaton_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
if 1: # now trace the orders
from libs.process_flat import trace_orders
trace_products = trace_orders(flaton_products)
hdu = pyfits.open(flat_on_filenames[0])[0]
igr_storage.store(trace_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
from libs.process_flat import trace_solutions
trace_solution_products, trace_solution_products_plot = \
trace_solutions(trace_products)
if 1:
trace_solution_products.keys()
from libs.storage_descriptions import FLATCENTROID_SOL_JSON_DESC
myproduct = trace_solution_products[FLATCENTROID_SOL_JSON_DESC]
bottomup_solutions = myproduct["bottom_up_solutions"]
orders = range(len(bottomup_solutions))
from libs.apertures import Apertures
ap = Apertures(orders, bottomup_solutions)
from libs.storage_descriptions import FLAT_MASK_DESC
flat_mask = igr_storage.load1(FLAT_MASK_DESC,
flat_on_filenames[0])
order_map2 = ap.make_order_map(mask_top_bottom=True)
bias_mask = flat_mask.data & (order_map2 > 0)
from libs.products import PipelineImageBase, PipelineProducts
pp = PipelineProducts("")
from libs.storage_descriptions import BIAS_MASK_DESC
pp.add(BIAS_MASK_DESC,
PipelineImageBase([], bias_mask))
flaton_basename = flat_on_filenames[0]
igr_storage.store(pp,
mastername=flaton_basename,
masterhdu=hdu)
# plot qa figures.
if 1:
from libs.process_flat import check_trace_order
from matplotlib.figure import Figure
fig1 = Figure(figsize=[9, 4])
check_trace_order(trace_products, fig1)
if 1:
from libs.process_flat import plot_trace_solutions
fig2, fig3 = plot_trace_solutions(flaton_products,
trace_solution_products,
trace_solution_products_plot,
)
flatoff_basename = os.path.splitext(os.path.basename(flat_off_filenames[0]))[0]
flaton_basename = os.path.splitext(os.path.basename(flat_on_filenames[0]))[0]
if 1:
from libs.qa_helper import figlist_to_pngs
aperture_figs = igr_path.get_section_filename_base("QA_PATH",
"aperture_"+flaton_basename,
"aperture_"+flaton_basename)
figlist_to_pngs(aperture_figs, [fig1, fig2, fig3])
if 1: # now trace the orders
#del trace_solution_products["bottom_up_solutions"]
igr_storage.store(trace_solution_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
# save db
if 1:
from libs.products import ProductDB
flatoff_db_name = igr_path.get_section_filename_base("PRIMARY_CALIB_PATH",
"flat_off.db",
)
flatoff_db = ProductDB(flatoff_db_name)
#dbname = os.path.splitext(os.path.basename(flat_off_filenames[0]))[0]
flatoff_db.update(band, flatoff_basename)
flaton_db_name = igr_path.get_section_filename_base("PRIMARY_CALIB_PATH",
"flat_on.db",
)
flaton_db = ProductDB(flaton_db_name)
flaton_db.update(band, flaton_basename)
def process_flat_band(utdate, refdate, band, obsids_off, obsids_on,
config):
from libs.products import PipelineStorage
igr_path = IGRINSPath(config, utdate)
igr_storage = PipelineStorage(igr_path)
flat_off_filenames = igr_path.get_filenames(band, obsids_off)
flat_on_filenames = igr_path.get_filenames(band, obsids_on)
if 1: # process flat off
flat_offs_hdu_list = [pyfits.open(fn_)[0] for fn_ in flat_off_filenames]
flat_offs = [hdu.data for hdu in flat_offs_hdu_list]
flat = FlatOff(flat_offs)
flatoff_products = flat.make_flatoff_hotpixmap(sigma_clip1=100,
sigma_clip2=5)
igr_storage.store(flatoff_products,
mastername=flat_off_filenames[0],
masterhdu=flat_offs_hdu_list[0])
if 1: # flat on
from libs.storage_descriptions import (FLAT_OFF_DESC,
HOTPIX_MASK_DESC,
FLATOFF_JSON_DESC)
desc_list = [FLAT_OFF_DESC, HOTPIX_MASK_DESC, FLATOFF_JSON_DESC]
flatoff_products = igr_storage.load(desc_list,
mastername=flat_off_filenames[0])
flat_on_hdu_list = [pyfits.open(fn_)[0] for fn_ in flat_on_filenames]
flat_ons = [hdu.data for hdu in flat_on_hdu_list]
from libs.master_calib import get_master_calib_abspath
fn = get_master_calib_abspath("deadpix_mask_%s_%s.fits" % (refdate,
band))
deadpix_mask_old = pyfits.open(fn)[0].data.astype(bool)
flat_on = FlatOn(flat_ons)
flaton_products = flat_on.make_flaton_deadpixmap(flatoff_products,
deadpix_mask_old=deadpix_mask_old)
igr_storage.store(flaton_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
if 1: # now trace the orders
from libs.process_flat import trace_orders
trace_products = trace_orders(flaton_products)
hdu = pyfits.open(flat_on_filenames[0])[0]
igr_storage.store(trace_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
from libs.process_flat import trace_solutions
trace_solution_products = trace_solutions(trace_products)
igr_storage.store(trace_solution_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
# plot qa figures.
if 1:
from libs.process_flat import check_trace_order
from matplotlib.figure import Figure
fig1 = Figure()
check_trace_order(trace_products, fig1)
if 1:
from libs.process_flat import plot_trace_solutions
fig2, fig3 = plot_trace_solutions(flaton_products,
trace_solution_products)
flatoff_basename = os.path.splitext(os.path.basename(flat_off_filenames[0]))[0]
flaton_basename = os.path.splitext(os.path.basename(flat_on_filenames[0]))[0]
if 1:
from libs.qa_helper import figlist_to_pngs
aperture_figs = igr_path.get_section_filename_base("QA_PATH",
"aperture_"+flaton_basename,
"aperture_"+flaton_basename)
figlist_to_pngs(aperture_figs, [fig1, fig2, fig3])
# save db
if 1:
from libs.products import ProductDB
flatoff_db_name = igr_path.get_section_filename_base("PRIMARY_CALIB_PATH",
"flat_off.db",
)
flatoff_db = ProductDB(flatoff_db_name)
#dbname = os.path.splitext(os.path.basename(flat_off_filenames[0]))[0]
flatoff_db.update(band, flatoff_basename)
flaton_db_name = igr_path.get_section_filename_base("PRIMARY_CALIB_PATH",
"flat_on.db",
)
flaton_db = ProductDB(flaton_db_name)
flaton_db.update(band, flaton_basename)
def process_flat_band(utdate, refdate, band, obsids_off, obsids_on, config):
from libs.products import PipelineStorage
igr_path = IGRINSPath(config, utdate)
igr_storage = PipelineStorage(igr_path)
flat_off_filenames = igr_path.get_filenames(band, obsids_off)
flat_on_filenames = igr_path.get_filenames(band, obsids_on)
if 1: # process flat off
flat_offs_hdu_list = [
pyfits.open(fn_)[0] for fn_ in flat_off_filenames
]
flat_offs = [hdu.data for hdu in flat_offs_hdu_list]
flat = FlatOff(flat_offs)
flatoff_products = flat.make_flatoff_hotpixmap(sigma_clip1=100,
sigma_clip2=5)
igr_storage.store(flatoff_products,
mastername=flat_off_filenames[0],
masterhdu=flat_offs_hdu_list[0])
if 1: # flat on
from libs.storage_descriptions import (FLAT_OFF_DESC, HOTPIX_MASK_DESC,
FLATOFF_JSON_DESC)
desc_list = [FLAT_OFF_DESC, HOTPIX_MASK_DESC, FLATOFF_JSON_DESC]
flatoff_products = igr_storage.load(desc_list,
mastername=flat_off_filenames[0])
flat_on_hdu_list = [pyfits.open(fn_)[0] for fn_ in flat_on_filenames]
flat_ons = [hdu.data for hdu in flat_on_hdu_list]
from libs.master_calib import get_master_calib_abspath
fn = get_master_calib_abspath("deadpix_mask_%s_%s.fits" %
(refdate, band))
deadpix_mask_old = pyfits.open(fn)[0].data.astype(bool)
flat_on = FlatOn(flat_ons)
flaton_products = flat_on.make_flaton_deadpixmap(
flatoff_products, deadpix_mask_old=deadpix_mask_old)
igr_storage.store(flaton_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
if 1: # now trace the orders
from libs.process_flat import trace_orders
trace_products = trace_orders(flaton_products)
hdu = pyfits.open(flat_on_filenames[0])[0]
igr_storage.store(trace_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
from libs.process_flat import trace_solutions
trace_solution_products = trace_solutions(trace_products)
igr_storage.store(trace_solution_products,
mastername=flat_on_filenames[0],
masterhdu=flat_on_hdu_list[0])
# plot qa figures.
if 1:
from libs.process_flat import check_trace_order
from matplotlib.figure import Figure
fig1 = Figure()
check_trace_order(trace_products, fig1)
if 1:
from libs.process_flat import plot_trace_solutions
fig2, fig3 = plot_trace_solutions(flaton_products,
trace_solution_products)
flatoff_basename = os.path.splitext(os.path.basename(
flat_off_filenames[0]))[0]
flaton_basename = os.path.splitext(os.path.basename(
flat_on_filenames[0]))[0]
if 1:
from libs.qa_helper import figlist_to_pngs
aperture_figs = igr_path.get_section_filename_base(
"QA_PATH", "aperture_" + flaton_basename,
"aperture_" + flaton_basename)
figlist_to_pngs(aperture_figs, [fig1, fig2, fig3])
# save db
if 1:
from libs.products import ProductDB
flatoff_db_name = igr_path.get_section_filename_base(
"PRIMARY_CALIB_PATH",
"flat_off.db",
)
flatoff_db = ProductDB(flatoff_db_name)
#dbname = os.path.splitext(os.path.basename(flat_off_filenames[0]))[0]
flatoff_db.update(band, flatoff_basename)
flaton_db_name = igr_path.get_section_filename_base(
"PRIMARY_CALIB_PATH",
"flat_on.db",
)
flaton_db = ProductDB(flaton_db_name)
flaton_db.update(band, flaton_basename)
