Commit ca82fe93 authored by Yannick Roehlly's avatar Yannick Roehlly
Browse files

Save best SED table

A table containing the parameters of the best SED for each observation,
as well as the values for the analysed variables for these best SEDs, is
parent cf57a322
......@@ -20,6 +20,8 @@ import os
import atpy
import json
import numpy as np
from itertools import product
from astropy.table import Table
from collections import OrderedDict
from datetime import datetime
from copy import deepcopy
......@@ -157,6 +159,17 @@ class Module(common.AnalysisModule):
results[variable] = []
results[variable + '_err'] = []
# We will save a table containing the best SED corresponding to each
# observation. This table contains the parameters of the SED as well as
# the value for the analysed variables.
out_bestsed_columns = ["id"]
for module_param_list in zip(sed_modules, sed_modules_params[0]):
for module_param in product([module_param_list[0]],
out_bestsed_columns += analysed_variables
out_bestsed_rows = []
# We get the transmission table and effective wavelength for each
# used filter.
filter_list = [name for name in column_list
......@@ -276,6 +289,16 @@ class Module(common.AnalysisModule):
redshift_module.parameters["redshift"] = obs_redshift
# Add the best SED to the best SED output table
bestsed_line = [obs_name]
for module_param in parameters:
for value in module_param.values():
if type(value) == list:
value = ".".join(value)
bestsed_line += [[item] for item in analysed_variables]
# Save best SED
# TODO: For now, we only save the lambda vs fnu table. Once
# we develop a way to serialise the SED, we should save the
......@@ -462,6 +485,11 @@ class Module(common.AnalysisModule):
results[variable + '_err'])
result_table.write(OUT_DIR + RESULT_FILE, verbose=False)
# Write the best SED table
out_bestsed_table = Table(zip(*out_bestsed_rows),
out_bestsed_table.write(OUT_DIR + "bestSeds.xml", format="votable")
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