diff options
Diffstat (limited to 'fg21sim/extragalactic/clusters/halo.py')
| -rw-r--r-- | fg21sim/extragalactic/clusters/halo.py | 29 |
1 files changed, 16 insertions, 13 deletions
diff --git a/fg21sim/extragalactic/clusters/halo.py b/fg21sim/extragalactic/clusters/halo.py index d027775..3c4ecd6 100644 --- a/fg21sim/extragalactic/clusters/halo.py +++ b/fg21sim/extragalactic/clusters/halo.py @@ -324,7 +324,7 @@ class RadioHalo1M: return c_s * np.sqrt(3*self.x_turb / AC.gamma) @lru_cache() - def velocity_turb(self, t_merger): + def velocity_turb(self, t): """ Calculate the turbulence velocity dispersion. @@ -338,9 +338,11 @@ class RadioHalo1M: E_merger ≅ <ρ_gas> * v_i^2 * V_turb V_turb = ᴨ * r_s^2 * (R_vir+r_s) Turbulence energy: - E_turb ≅ η_turb * E_merger ≅ 0.5 * M_turb * <v_turb^2> + E_turb ≅ 0.5 * M_turb * <v_turb^2> + ≅ 0.5 * M_turb * <v_turb_base^2> + η_turb * E_merger => Velocity dispersion: - <v_turb^2> ≅ 2*η_turb * <ρ_gas> * v_i^2 * V_turb / M_turb + <v_turb^2> ≅ <v_turb_base^2> + + 2*η_turb * <ρ_gas> * v_i^2 * V_turb / M_turb M_turb = int_0^R_turb[ ρ_gas(r)*4ᴨ*r^2 ]dr where: <ρ_gas>: mean gas density of the main cluster @@ -355,12 +357,13 @@ class RadioHalo1M: The turbulence velocity dispersion Unit: [km/s] """ - self._validate_time(t_merger) - z = COSMO.redshift(t_merger) - M_main = self.mass_main(t_merger) - M_sub = self.mass_sub(t_merger) - r_s = self.radius_strip(t_merger) # [kpc] - R_turb = self.radius_turb(t_merger) # [kpc] + self._validate_time(t) + z = COSMO.redshift(t) + M_main = self.mass_main(t) + M_sub = self.mass_sub(t) + r_s = self.radius_strip(t) # [kpc] + R_turb = self.radius_turb(t) # [kpc] + v_turb_base = self.velocity_turb_base(t) # [km/s] rho_gas_f = helper.calc_gas_density_profile( M_main+M_sub, z, f_rc=self.f_rc, beta=self.beta) @@ -373,10 +376,10 @@ class RadioHalo1M: rho_main *= AC.mu*AC.u * AUC.g2Msun * AUC.kpc2cm**3 # [Msun/kpc^3] R_vir = helper.radius_cluster(M_main, z) # [kpc] - V_turb = np.pi * r_s**2 * R_vir # [kpc^3] - E_turb = self.eta_turb * rho_main * v_i**2 * V_turb - v2_turb = 2 * E_turb / M_turb # [km^2/s^2] - return np.sqrt(v2_turb) # [km/s] + volume = np.pi * r_s**2 * R_vir # [kpc^3] + E_add = self.eta_turb * rho_main * v_i**2 * volume + v2_turb = v_turb_base**2 + 2 * E_add / M_turb # [km/s]^2 + return np.sqrt(v2_turb) @lru_cache() def tau_acceleration(self, t_merger): |