From 8e0c6d87118ee505753fc3454c85b3a3462be6a3 Mon Sep 17 00:00:00 2001 From: Aaron LI Date: Wed, 19 Jul 2017 22:41:06 +0800 Subject: clusters/main.py: Add and save catalog comments for columns Signed-off-by: Aaron LI --- fg21sim/extragalactic/clusters/main.py | 24 ++++++++++++++++++------ 1 file changed, 18 insertions(+), 6 deletions(-) (limited to 'fg21sim/extragalactic/clusters/main.py') diff --git a/fg21sim/extragalactic/clusters/main.py b/fg21sim/extragalactic/clusters/main.py index c05af3e..501dc6a 100644 --- a/fg21sim/extragalactic/clusters/main.py +++ b/fg21sim/extragalactic/clusters/main.py @@ -11,7 +11,6 @@ There are other types of extended radio emissions not considered yet, e.g., mini-halos, roundish radio relics, etc. """ -import os import logging import numpy as np @@ -21,7 +20,6 @@ from .formation import ClusterFormation from .halo import RadioHalo from ...sky import get_sky from ...utils.cosmology import Cosmology -from ...utils.random import spherical_uniform from ...utils.io import dataframe_to_csv @@ -77,7 +75,7 @@ class GalaxyClusters: def _load_catalog(self): """ - Load the sampled (z, M) catalogs from the Press-Schechter + Load the sampled (z, mass) catalogs from the Press-Schechter formalism for the clusters in this sky patch. Catalog columns @@ -85,9 +83,13 @@ class GalaxyClusters: * ``z`` : redshifts * ``mass`` : cluster mass; unit: [Msun] """ - self.catalog = pd.read_csv(self.catalog_path) + self.catalog = pd.read_csv(self.catalog_path, comment="#") + self.catalog_comment = [ + "z : redshift", + "mass : cluster total mass [Msun]", + ] num = len(self.catalog) - logger.info("Loaded (z, M) catalog: %d clusters" % num) + logger.info("Loaded (z, mass) catalog: %d clusters" % num) def _process_catalog(self): """ @@ -122,25 +124,35 @@ class GalaxyClusters: lon, lat = self.sky.random_points(n=num) self.catalog["lon"] = lon self.catalog["lat"] = lat + self.catalog_comment.append( + "lon, lat : longitudes and latitudes [deg]") logger.info("Added catalog columns: lon, lat.") felong_min = 0.3 sigma = (1.0 - felong_min) / 3.0 felong = 1.0 - np.abs(np.random.normal(scale=sigma, size=num)) felong[felong < felong_min] = felong_min + self.catalog["felong"] = felong + self.catalog_comment.append( + "felong : elongated fraction (= b/a)") logger.info("Added catalog column: felong.") rotation = np.random.uniform(low=0.0, high=360.0, size=num) self.catalog["rotation"] = rotation + self.catalog_comment.append( + "rotation : ellipse rotation angle [deg]") logger.info("Added catalog column: rotation.") def postprocess(self): """ Do some necessary post-simulation operations. """ + logger.info("{name}: postprocessing ...".format(name=self.name)) # Save the effective/inuse clusters catalog logger.info("Save the resulting catalog ...") if self.catalog_outfile is None: logger.warning("Catalog output file not set; skip saving!") else: - dataframe_to_csv() + dataframe_to_csv(self.catalog, outfile=self.catalog_outfile, + comment=self.catalog_comment, + clobber=self.clobber) -- cgit v1.2.2