# -*- mode: python; coding: utf-8 -*-
# Copyright (c) 2018 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Class for reading FHD save files."""
import numpy as np
import warnings
from scipy.io.idl import readsav
from astropy import constants as const
from .uvdata import UVData
from .. import utils as uvutils
from .. import telescopes as uvtel
__all__ = ["get_fhd_history", "FHD"]
[docs]def get_fhd_history(settings_file, return_user=False):
"""
Small function to get the important history from an FHD settings text file.
Includes information about the command line call, the user, machine name and date
Parameters
----------
settings_file : str
FHD settings file name
return_user : bool
optionally return the username who ran FHD
Returns
-------
history : str
string of history extracted from the settings file
user : str
Only returned if return_user is True
"""
with open(settings_file, "r") as f:
settings_lines = f.readlines()
main_loc = None
command_loc = None
obs_loc = None
user_line = None
for ind, line in enumerate(settings_lines):
if line.startswith("##MAIN"):
main_loc = ind
if line.startswith("##COMMAND_LINE"):
command_loc = ind
if line.startswith("##OBS"):
obs_loc = ind
if line.startswith("User"):
user_line = ind
if (
main_loc is not None
and command_loc is not None
and obs_loc is not None
and user_line is not None
):
break
main_lines = settings_lines[main_loc + 1 : command_loc]
command_lines = settings_lines[command_loc + 1 : obs_loc]
history_lines = ["FHD history\n"] + main_lines + command_lines
for ind, line in enumerate(history_lines):
history_lines[ind] = line.rstrip().replace("\t", " ")
history = "\n".join(history_lines)
user = settings_lines[user_line].split()[1]
if return_user:
return history, user
else:
return history
[docs]class FHD(UVData):
"""
Defines a FHD-specific subclass of UVData for reading FHD save files.
This class should not be interacted with directly, instead use the read_fhd
method on the UVData class.
"""
def _latlonalt_close(self, latlonalt1, latlonalt2):
radian_tols = self._phase_center_ra.tols
loc_tols = self._telescope_location.tols
latlon_close = np.allclose(
np.array(latlonalt1[0:2]),
np.array(latlonalt2[0:2]),
rtol=radian_tols[0],
atol=radian_tols[1],
)
alt_close = np.isclose(
latlonalt1[2], latlonalt2[2], rtol=loc_tols[0], atol=loc_tols[1]
)
if latlon_close and alt_close:
return True
else:
return False
def _xyz_close(self, xyz1, xyz2):
loc_tols = self._telescope_location.tols
return np.allclose(xyz1, xyz2, rtol=loc_tols[0], atol=loc_tols[1])
[docs] def read_fhd(
self,
filelist,
use_model=False,
background_lsts=True,
read_data=True,
run_check=True,
check_extra=True,
run_check_acceptability=True,
strict_uvw_antpos_check=False,
):
"""
Read in data from a list of FHD files.
Parameters
----------
filelist : array_like of str
The list/array of FHD save files to read from. Must include at
least one polarization file, a params file and a flag file. An obs
file is also required if `read_data` is False.
use_model : bool
Option to read in the model visibilities rather than the dirty
visibilities (the default is False, meaning the dirty visibilities
will be read).
background_lsts : bool
When set to True, the lst_array is calculated in a background thread.
read_data : bool
Read in the visibility, nsample and flag data. If set to False, only
the metadata will be read in. Setting read_data to False results in
a metadata only object. If read_data is False, an obs file must be
included in the filelist. Note that if read_data is False, Npols is
derived from the obs file and reflects the number of polarizations
used in the FHD run. If read_data is True, Npols is given by the
number of visibility data files provided in `filelist`.
run_check : bool
Option to check for the existence and proper shapes of parameters
after after reading in the file (the default is True,
meaning the check will be run).
check_extra : bool
Option to check optional parameters as well as required ones (the
default is True, meaning the optional parameters will be checked).
run_check_acceptability : bool
Option to check acceptable range of the values of parameters after
reading in the file (the default is True, meaning the acceptable
range check will be done).
strict_uvw_antpos_check : bool
Option to raise an error rather than a warning if the check that
uvws match antenna positions does not pass.
Raises
------
IOError
If root file directory doesn't exist.
ValueError
If required files are missing or multiple files for any polarization
are included in filelist.
If there is no recognized key for visibility weights in the flags_file.
"""
datafiles = {}
params_file = None
obs_file = None
flags_file = None
layout_file = None
settings_file = None
if use_model:
data_name = "_vis_model_"
else:
data_name = "_vis_"
for file in filelist:
if file.lower().endswith(data_name + "xx.sav"):
if "xx" in list(datafiles.keys()):
raise ValueError("multiple xx datafiles in filelist")
datafiles["xx"] = file
elif file.lower().endswith(data_name + "yy.sav"):
if "yy" in list(datafiles.keys()):
raise ValueError("multiple yy datafiles in filelist")
datafiles["yy"] = file
elif file.lower().endswith(data_name + "xy.sav"):
if "xy" in list(datafiles.keys()):
raise ValueError("multiple xy datafiles in filelist")
datafiles["xy"] = file
elif file.lower().endswith(data_name + "yx.sav"):
if "yx" in list(datafiles.keys()):
raise ValueError("multiple yx datafiles in filelist")
datafiles["yx"] = file
elif file.lower().endswith("_params.sav"):
if params_file is not None:
raise ValueError("multiple params files in filelist")
params_file = file
elif file.lower().endswith("_obs.sav"):
if obs_file is not None:
raise ValueError("multiple obs files in filelist")
obs_file = file
elif file.lower().endswith("_flags.sav"):
if flags_file is not None:
raise ValueError("multiple flags files in filelist")
flags_file = file
elif file.lower().endswith("_layout.sav"):
if layout_file is not None:
raise ValueError("multiple layout files in filelist")
layout_file = file
elif file.lower().endswith("_settings.txt"):
if settings_file is not None:
raise ValueError("multiple settings files in filelist")
settings_file = file
else:
# this is reached in tests but marked as uncovered because
# CPython's peephole optimizer replaces a jump to a continue
# with a jump to the top of the loop
continue # pragma: no cover
if len(datafiles) < 1 and read_data is True:
raise ValueError(
"No data files included in file list and read_data is True."
)
if obs_file is None and read_data is False:
raise ValueError(
"No obs file included in file list and read_data is False."
)
if params_file is None:
raise ValueError("No params file included in file list")
if flags_file is None:
raise ValueError("No flags file included in file list")
if layout_file is None:
warnings.warn(
"No layout file included in file list, "
"antenna_postions will not be defined."
)
if settings_file is None:
warnings.warn("No settings file included in file list")
if not read_data:
obs_dict = readsav(obs_file, python_dict=True)
this_obs = obs_dict["obs"]
self.Npols = int(this_obs[0]["N_POL"])
else:
# TODO: add checking to make sure params, flags and datafiles are
# consistent with each other
vis_data = {}
for pol, file in datafiles.items():
this_dict = readsav(file, python_dict=True)
if use_model:
vis_data[pol] = this_dict["vis_model_ptr"]
else:
vis_data[pol] = this_dict["vis_ptr"]
this_obs = this_dict["obs"]
self.Npols = len(list(vis_data.keys()))
obs = this_obs
bl_info = obs["BASELINE_INFO"][0]
astrometry = obs["ASTR"][0]
fhd_pol_list = []
for pol in obs["POL_NAMES"][0]:
fhd_pol_list.append(pol.decode("utf8").lower())
params_dict = readsav(params_file, python_dict=True)
params = params_dict["params"]
if read_data:
flag_file_dict = readsav(flags_file, python_dict=True)
# The name for this variable changed recently (July 2016). Test for both.
vis_weights_data = {}
if "flag_arr" in flag_file_dict:
weights_key = "flag_arr"
elif "vis_weights" in flag_file_dict:
weights_key = "vis_weights"
else:
raise ValueError(
"No recognized key for visibility weights in flags_file."
)
for index, w in enumerate(flag_file_dict[weights_key]):
vis_weights_data[fhd_pol_list[index]] = w
self.Ntimes = int(obs["N_TIME"][0])
self.Nbls = int(obs["NBASELINES"][0])
self.Nblts = params["UU"][0].size
self.Nfreqs = int(obs["N_FREQ"][0])
self.Nspws = 1
self.spw_array = np.array([0])
self.vis_units = "JY"
# bl_info.JDATE (a vector of length Ntimes) is the only safe date/time
# to use in FHD files.
# (obs.JD0 (float) and params.TIME (vector of length Nblts) are
# context dependent and are not safe
# because they depend on the phasing of the visibilities)
# the values in bl_info.JDATE are the JD for each integration.
# We need to expand up to Nblts.
int_times = list(uvutils._get_iterable(bl_info["JDATE"][0]))
bin_offset = bl_info["BIN_OFFSET"][0]
if self.Ntimes != len(int_times):
warnings.warn(
"Ntimes does not match the number of unique times in the data"
)
self.time_array = np.zeros(self.Nblts)
if self.Ntimes == 1:
self.time_array.fill(int_times[0])
else:
for ii in range(0, len(int_times)):
if ii < (len(int_times) - 1):
self.time_array[bin_offset[ii] : bin_offset[ii + 1]] = int_times[ii]
else:
self.time_array[bin_offset[ii] :] = int_times[ii]
# this is generated in FHD by subtracting the JD of neighboring
# integrations. This can have limited accuracy, so it can be slightly
# off the actual value.
# (e.g. 1.999426... rather than 2)
time_res = obs["TIME_RES"]
# time_res is constrained to be a scalar currently
self.integration_time = (
np.ones_like(self.time_array, dtype=np.float64) * time_res[0]
)
# # --- observation information ---
self.telescope_name = obs["INSTRUMENT"][0].decode("utf8")
# This is a bit of a kludge because nothing like object_name exists
# in FHD files.
# At least for the MWA, obs.ORIG_PHASERA and obs.ORIG_PHASEDEC specify
# the field the telescope was nominally pointing at
# (May need to be revisited, but probably isn't too important)
self.object_name = (
"Field RA(deg): "
+ str(obs["ORIG_PHASERA"][0])
+ ", Dec:"
+ str(obs["ORIG_PHASEDEC"][0])
)
# For the MWA, this can sometimes be converted to EoR fields
if self.telescope_name.lower() == "mwa":
if np.isclose(obs["ORIG_PHASERA"][0], 0) and np.isclose(
obs["ORIG_PHASEDEC"][0], -27
):
self.object_name = "EoR 0 Field"
self.instrument = self.telescope_name
latitude = np.deg2rad(float(obs["LAT"][0]))
longitude = np.deg2rad(float(obs["LON"][0]))
altitude = float(obs["ALT"][0])
# get the stuff FHD read from the antenna table (in layout file)
if layout_file is not None:
layout_dict = readsav(layout_file, python_dict=True)
layout = layout_dict["layout"]
layout_fields = [name.lower() for name in layout.dtype.names]
# Try to get the telescope location from the layout file &
# compare it to the position from the obs structure.
arr_center = layout["array_center"][0]
layout_fields.remove("array_center")
xyz_telescope_frame = layout["coordinate_frame"][0].decode("utf8").lower()
layout_fields.remove("coordinate_frame")
if xyz_telescope_frame == "itrf":
# compare to lat/lon/alt
location_latlonalt = uvutils.XYZ_from_LatLonAlt(
latitude, longitude, altitude
)
latlonalt_arr_center = uvutils.LatLonAlt_from_XYZ(
arr_center, check_acceptability=run_check_acceptability
)
# check both lat/lon/alt and xyz because of subtle differences
# in tolerances
if self._xyz_close(
location_latlonalt, arr_center
) or self._latlonalt_close(
(latitude, longitude, altitude), latlonalt_arr_center
):
self.telescope_location = arr_center
else:
# values do not agree with each other to within the tolerances.
# this is a known issue with FHD runs on cotter uvfits
# files for the MWA
# compare with the known_telescopes values
telescope_obj = uvtel.get_telescope(self.telescope_name)
# start warning message
message = (
"Telescope location derived from obs lat/lon/alt "
"values does not match the location in the layout file."
)
if telescope_obj is not False:
if self._latlonalt_close(
(latitude, longitude, altitude),
telescope_obj.telescope_location_lat_lon_alt,
):
# obs lat/lon/alt matches known_telescopes
message += (
" Value from obs lat/lon/alt matches the "
"known_telescopes values, using them."
)
self.telescope_location = location_latlonalt
elif self._xyz_close(
arr_center, telescope_obj.telescope_location
):
# layout xyz matches known_telescopes
message += (
" Value from the layout file matches the "
"known_telescopes values, using them."
)
self.telescope_location = arr_center
else:
# None of the values match each other. Defaulting
# to known_telescopes value.
message += (
" Neither location matches the values "
"in known_telescopes. Defaulting to "
"using the known_telescopes values."
)
self.telescope_location = telescope_obj.telescope_location
else:
message += (
" Telescope is not in known_telescopes. "
"Defaulting to using the obs derived values."
)
self.telescope_location = location_latlonalt
# issue warning
warnings.warn(message)
else:
self.telescope_location_lat_lon_alt = (latitude, longitude, altitude)
self.antenna_positions = layout["antenna_coords"][0]
layout_fields.remove("antenna_coords")
self.antenna_names = [
ant.decode("utf8").strip()
for ant in layout["antenna_names"][0].tolist()
]
layout_fields.remove("antenna_names")
# make these 0-indexed (rather than one indexed)
self.antenna_numbers = layout["antenna_numbers"][0] - 1
layout_fields.remove("antenna_numbers")
self.Nants_telescope = int(layout["n_antenna"][0])
layout_fields.remove("n_antenna")
if self.telescope_name.lower() == "mwa":
# check that obs.baseline_info.tile_names match the antenna names
# this only applies for MWA because the tile_names come from
# metafits files
obs_tile_names = [
ant.decode("utf8").strip()
for ant in bl_info["TILE_NAMES"][0].tolist()
]
obs_tile_names = [
"Tile" + "0" * (3 - len(ant)) + ant for ant in obs_tile_names
]
# tile_names are assumed to be ordered: so their index gives
# the antenna number
# make an comparison array from self.antenna_names ordered this way.
ant_names = np.zeros((np.max(self.antenna_numbers) + 1), str).tolist()
for index, number in enumerate(self.antenna_numbers):
ant_names[number] = self.antenna_names[index]
if obs_tile_names != ant_names:
warnings.warn(
"tile_names from obs structure does not match "
"antenna_names from layout"
)
self.gst0 = float(layout["gst0"][0])
layout_fields.remove("gst0")
if layout["ref_date"][0] != "":
self.rdate = layout["ref_date"][0].decode("utf8").lower()
layout_fields.remove("ref_date")
self.earth_omega = float(layout["earth_degpd"][0])
layout_fields.remove("earth_degpd")
self.dut1 = float(layout["dut1"][0])
layout_fields.remove("dut1")
self.timesys = layout["time_system"][0].decode("utf8").upper().strip()
layout_fields.remove("time_system")
if "diameters" in layout_fields:
self.timesys = layout["time_system"][0].decode("utf8").upper().strip()
layout_fields.remove("diameters")
# ignore some fields, put everything else in extra_keywords
layout_fields_ignore = [
"diff_utc",
"pol_type",
"n_pol_cal_params",
"mount_type",
"axis_offset",
"pola",
"pola_orientation",
"pola_cal_params",
"polb",
"polb_orientation",
"polb_cal_params",
"beam_fwhm",
]
for field in layout_fields_ignore:
if field in layout_fields:
layout_fields.remove(field)
for field in layout_fields:
keyword = field
if len(keyword) > 8:
keyword = field.replace("_", "")
value = layout[field][0]
if isinstance(value, bytes):
value = value.decode("utf8")
self.extra_keywords[keyword.upper()] = value
else:
self.telescope_location_lat_lon_alt = (latitude, longitude, altitude)
self.antenna_names = [
ant.decode("utf8").strip() for ant in bl_info["TILE_NAMES"][0].tolist()
]
if self.telescope_name.lower() == "mwa":
self.antenna_names = [
"Tile" + "0" * (3 - len(ant)) + ant for ant in self.antenna_names
]
self.Nants_telescope = len(self.antenna_names)
self.antenna_numbers = np.arange(self.Nants_telescope)
try:
self.set_telescope_params()
except ValueError as ve:
warnings.warn(str(ve))
# need to make sure telescope location is defined properly before this call
proc = self.set_lsts_from_time_array(background=background_lsts)
if not np.isclose(obs["OBSRA"][0], obs["PHASERA"][0]) or not np.isclose(
obs["OBSDEC"][0], obs["PHASEDEC"][0]
):
warnings.warn(
"These visibilities may have been phased "
"improperly -- without changing the uvw locations"
)
self._set_phased()
self.phase_center_ra_degrees = np.float(obs["OBSRA"][0])
self.phase_center_dec_degrees = np.float(obs["OBSDEC"][0])
self.phase_center_epoch = astrometry["EQUINOX"][0]
# Note that FHD antenna arrays are 1-indexed so we subtract 1
# to get 0-indexed arrays
self.ant_1_array = bl_info["TILE_A"][0] - 1
self.ant_2_array = bl_info["TILE_B"][0] - 1
self.Nants_data = int(np.union1d(self.ant_1_array, self.ant_2_array).size)
self.baseline_array = self.antnums_to_baseline(
self.ant_1_array, self.ant_2_array
)
if self.Nbls != len(np.unique(self.baseline_array)):
warnings.warn(
"Nbls does not match the number of unique baselines in the data"
)
self.freq_array = np.zeros(
(self.Nspws, len(bl_info["FREQ"][0])), dtype=np.float_
)
self.freq_array[0, :] = bl_info["FREQ"][0]
self.channel_width = float(obs["FREQ_RES"][0])
# In FHD, uvws are in seconds not meters.
# FHD follows the FITS uvw direction convention, which is opposite
# ours and Miriad's.
# So conjugate the visibilities and flip the uvws:
self.uvw_array = np.zeros((self.Nblts, 3))
self.uvw_array[:, 0] = (-1) * params["UU"][0] * const.c.to("m/s").value
self.uvw_array[:, 1] = (-1) * params["VV"][0] * const.c.to("m/s").value
self.uvw_array[:, 2] = (-1) * params["WW"][0] * const.c.to("m/s").value
lin_pol_order = ["xx", "yy", "xy", "yx"]
linear_pol_dict = dict(zip(lin_pol_order, np.arange(5, 9) * -1))
pol_list = []
if read_data:
for pol in lin_pol_order:
if pol in vis_data:
pol_list.append(linear_pol_dict[pol])
self.polarization_array = np.asarray(pol_list)
else:
# Use Npols because for FHD, npol fully specifies which pols to use
pol_strings = lin_pol_order[: self.Npols]
self.polarization_array = np.asarray(
[linear_pol_dict[pol] for pol in pol_strings]
)
# history: add the first few lines from the settings file
if settings_file is not None:
self.history = get_fhd_history(settings_file)
else:
self.history = ""
if not uvutils._check_history_version(self.history, self.pyuvdata_version_str):
self.history += self.pyuvdata_version_str
if read_data:
self.data_array = np.zeros(
(self.Nblts, self.Nspws, self.Nfreqs, self.Npols), dtype=np.complex_
)
self.nsample_array = np.zeros(
(self.Nblts, self.Nspws, self.Nfreqs, self.Npols), dtype=np.float_
)
self.flag_array = np.zeros(
(self.Nblts, self.Nspws, self.Nfreqs, self.Npols), dtype=np.bool_
)
for pol, vis in vis_data.items():
pol_i = pol_list.index(linear_pol_dict[pol])
# FHD follows the FITS uvw direction convention, which is opposite
# ours and Miriad's.
# So conjugate the visibilities and flip the uvws:
self.data_array[:, 0, :, pol_i] = np.conj(vis)
self.flag_array[:, 0, :, pol_i] = vis_weights_data[pol] <= 0
self.nsample_array[:, 0, :, pol_i] = np.abs(vis_weights_data[pol])
# wait for LSTs if set in background
if proc is not None:
proc.join()
# check if object has all required uv_properties set
if run_check:
self.check(
check_extra=check_extra,
run_check_acceptability=run_check_acceptability,
strict_uvw_antpos_check=strict_uvw_antpos_check,
)