From 375198fb380933ea1b00f2e42401550ae20da76d Mon Sep 17 00:00:00 2001 From: Aaron LI Date: Wed, 18 Oct 2017 16:14:59 +0800 Subject: clusters: Update radio halo radius estimation The simulated radio halo is assumed to have a radius of the falling sub-cluster; while previously it is assumed to be 1/4 of the virial radius of the merged cluster. The new estimation can agree better with the currently observed radio halos, which generally have a angular diameter size of ~2-7 [arcmin]. --- fg21sim/extragalactic/clusters/halo.py | 12 +++++++---- fg21sim/extragalactic/clusters/helper.py | 36 +++++++++++++++----------------- 2 files changed, 25 insertions(+), 23 deletions(-) (limited to 'fg21sim/extragalactic/clusters') diff --git a/fg21sim/extragalactic/clusters/halo.py b/fg21sim/extragalactic/clusters/halo.py index 832371e..6bfa4ca 100644 --- a/fg21sim/extragalactic/clusters/halo.py +++ b/fg21sim/extragalactic/clusters/halo.py @@ -166,13 +166,17 @@ class RadioHalo: @property def radius(self): """ - The halo radius derived from the virial radius by a scaling - relation. + The estimated radius for the simulated radio halo. + + NOTE + ---- + The halo radius is assumed to be the virial radius of the falling + sub-cluster. See ``helper.radius_halo()`` for more details. Unit: [kpc] """ - mass = self.M_main + self.M_sub # [Msun] - r_halo = helper.radius_halo(mass, self.z_merger) # [kpc] + r_halo = helper.radius_halo(self.M_main, self.M_sub, + self.z_merger) return r_halo @property diff --git a/fg21sim/extragalactic/clusters/helper.py b/fg21sim/extragalactic/clusters/helper.py index b54340c..e553da9 100644 --- a/fg21sim/extragalactic/clusters/helper.py +++ b/fg21sim/extragalactic/clusters/helper.py @@ -54,16 +54,16 @@ def radius_virial(mass, z=0.0): Parameters ---------- - mass : float + mass : float, `~numpy.ndarray` Total (virial) mass of the cluster Unit: [Msun] - z : float, optional + z : float, `~numpy.ndarray`, optional Redshift Default: 0.0 (i.e., present day) Returns ------- - R_vir : float + R_vir : float, `~numpy.ndarray` Virial radius of the cluster Unit: [kpc] """ @@ -74,35 +74,33 @@ def radius_virial(mass, z=0.0): return R_vir -def radius_halo(mass, z=0.0): +def radius_halo(M_main, M_sub, z=0.0): """ - Calculate the radius of (giant) radio halo for a cluster. + Calculate the (predicted) radius of (giant) radio halo for a cluster. - The halo radius is assumed to linearly scale with the virial radius, - and is estimated by: - R_halo = R_vir / 4 - * halo radius is ~3-6 times smaller than the virial radius; - Ref.[cassano2007],Sec.(1) - * halo half radius is ~R500/4, therefore, R_halo ~ R_vir/4; - Ref.[zandanel2014],Sec.(6.2) + NOTE + ---- + It can be intuitively assumed that a merger will generate turbulences + within a region of size of the falling sub-cluster. And this + estimation can agree with the currently observed radio halos, which + generally have a angular diameter size ~2-7 [arcmin]. Parameters ---------- - mass : float - Total (virial) mass of the cluster + M_main, M_sub : float, `~numpy.ndarray` + Total (virial) masses of the main and sub clusters Unit: [Msun] - z : float, optional + z : float, `~numpy.ndarray`, optional Redshift Default: 0.0 (i.e., present day) Returns ------- - R_halo : float - Radius of the (expected) giant radio halo + R_halo : float, `~numpy.ndarray` + Radius of the (simulated/predicted) giant radio halo Unit: [kpc] """ - R_vir = radius_virial(mass=mass, z=z) # [kpc] - R_halo = R_vir / 4.0 # [kpc] + R_halo = radius_virial(mass=M_sub, z=z) # [kpc] return R_halo -- cgit v1.2.2