diff options
Diffstat (limited to 'fg21sim/extragalactic')
| -rw-r--r-- | fg21sim/extragalactic/clusters/main.py | 36 |
1 files changed, 26 insertions, 10 deletions
diff --git a/fg21sim/extragalactic/clusters/main.py b/fg21sim/extragalactic/clusters/main.py index a8d5d01..9ef769d 100644 --- a/fg21sim/extragalactic/clusters/main.py +++ b/fg21sim/extragalactic/clusters/main.py @@ -332,21 +332,34 @@ class GalaxyClusters: very powerful and (almost) dominate other intermediate/faint halos, causing the simulation results unstable and have large variation. - Drop out the specified number of most powerful radio halos from - the catalog, in order to obtain a more stable simulation. + If ``halo_dropout`` is given, then select the specified number of + most powerful radio halos from the catalog, and mark them with + a property ``drop=True``, which will then be excluded from the + following halo drawing step, in order to obtain more stable + simulation results. + + NOTE + ---- + If the halo data is reloaded from a previously dumped catalog, + the original dropout markers is just ignored. """ - if (self.halo_dropout <= 0) or self.use_dump_halos_data: + if self.halo_dropout <= 0: logger.info("No need to drop out halos.") return power = np.array([hdict["power"][0] for hdict in self.halos]) argsort = power.argsort()[::-1] # max -> min idx_drop = argsort[:self.halo_dropout] - halos_new = [hdict for i, hdict in enumerate(self.halos) - if i not in idx_drop] - self.halos = halos_new - logger.info("Dropped out %d most powerful halos" % self.halo_dropout) - logger.info("Remaining number of halos: %d" % len(halos_new)) + num = 0 + for i, hdict in enumerate(self.halos): + if i in idx_drop: + hdict["drop"] = True + else: + hdict["drop"] = False + num += 1 + logger.info("Marked %d most powerful halos for dropping" % + self.halo_dropout) + logger.info("Remaining number of halos: %d" % num) def _draw_halos(self): """ @@ -359,9 +372,12 @@ class GalaxyClusters: the corresponding halo within the ``self.halos``. The templates are normalized to have *mean* value of 1. """ - num = len(self.halos) + idx_kept = [idx for idx, cdict in enumerate(self.halos) + if not cdict.get("drop", False)] + num = len(idx_kept) logger.info("Draw template images for %d halos ..." % num) - for i, hdict in enumerate(self.halos): + for i, idx in enumerate(idx_kept): + hdict = self.halos[idx] ii = i + 1 if ii % 100 == 0: logger.info("[%d/%d] %.1f%% ..." % (ii, num, 100*ii/num)) |