Averaged magnetic field versus time
This commit is contained in:
Simon
Noe Brucy
@@ -574,6 +574,7 @@ class Comparator(Aggregator, HDF5Container):
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self._gen_rule_time_global("mwa_sigma", "time_sigma", unit="unit_velocity")
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self._gen_rule_time_global("max_fluct_coldens")
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self._gen_rule_time_global("mwa_B_int", unit="unit_mag")
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for name in [
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"issfr",
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+31
-2
@@ -78,12 +78,14 @@ class Plotter(Aggregator, BaseProcessor):
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"coldens0": "$\Sigma_0$",
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"sfr_avg_window": "window",
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"comp_frac": "$\\zeta$",
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"bx_bound": "$B_x$",
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}
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# Conversion table from namelist values (from amses config file) into LaTex strings
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value_convert = {
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"sfr_avg_window": lambda x: "${:g}$ Myr".format(80 * x),
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"comp_frac": lambda x: "${:g}$".format(1 - x),
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"bx_bound": lambda x: "${:g}$".format(5.267 * 10 ** (-10) * x),
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}
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def __init__(
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@@ -1066,7 +1068,7 @@ class Plotter(Aggregator, BaseProcessor):
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unit=cst.T,
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overlays=[self._overlay_B, self._overlay_speed],
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),
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"Density slice with magnetic field and velocity overlay",
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"Magnetic slice with magnetic field and velocity overlay",
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dependencies=["B_int", "B_h", "B_v", "speed_h", "speed_v"],
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),
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"jeans_ratio": PlotRule(
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@@ -1142,10 +1144,28 @@ class Plotter(Aggregator, BaseProcessor):
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),
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"Brho": PlotRule(
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self,
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partial(self._plot, "/datasets/Brho/rho", "/datasets/Brho/B"),
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partial(
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self._plot,
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"/datasets/Brho/rho",
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"/datasets/Brho/B",
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label=r"$\mathrm{B} $",
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put_time=True,
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),
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"Brho on a 2D slice ",
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dependencies=["Brho"],
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),
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"Ek_Eb_rho": PlotRule(
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self,
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partial(
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self._plot,
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"/datasets/Ek_Eb_rho/rho",
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"/datasets/Ek_Eb_rho/Ek_Eb_rho",
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label=r"Ek/Eb",
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put_time=True,
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),
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"Ek/Eb on a 2D slice ",
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dependencies=["Ek_Eb_rho", "mwa_speed"],
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),
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"rho_prof": PlotRule(
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self,
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partial(self._plot, "/profile/axis", "/profile/rho_prof"),
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@@ -1256,6 +1276,15 @@ class Plotter(Aggregator, BaseProcessor):
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kind="series",
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dependencies=["time_sigma"],
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),
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"mwa_B_int": PlotRule(
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self,
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partial(
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self._plot, "/series/time", "/series/time_mwa_B_int", xunit=cst.Myr
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),
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"Magnetic intensity average",
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kind="series",
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dependencies=["time_mwa_B_int"],
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),
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"max_fluct_coldens": PlotRule(
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self,
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partial(
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@@ -17,6 +17,11 @@ def getter_rho(dset):
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return dset["rho"]
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def getter_v_norm(dset):
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v_norm = np.sqrt(np.sum(dset["Br"] ** 2, axis=1))
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return v_norm
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class PostProcessor(HDF5Container):
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"""
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This class enable to compute and save derived quantities from the raw output
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@@ -333,6 +338,52 @@ class PostProcessor(HDF5Container):
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self.unload_cells()
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return ({"rho": centers, "B": B_mean}, {"logbins": logbins})
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def _Ek_Eb_rho(self, bins=100, logbins=True):
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"""
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Mean of Ek/Eb in rho bins
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"""
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self.load_cells()
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mean_speed = self.save.get_node("/globals/mwa_speed").read()
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vel_fluct = (self.cells)["vel"] - mean_speed
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B_norm = getter_B_int(self.cells)
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v_norm = np.sqrt(np.sum((vel_fluct * 10 ** (3)) ** 2, axis=1)) # v [km/s]
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print(v_norm)
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rho = getter_rho(self.cells)
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eb = 0.5 * (B_norm) ** 2 / (4 * np.pi * 10 ** (-7)) # mettre le bon mu
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ek = 0.5 * v_norm ** 2 * rho # mettre la masse de la cellule
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rapport = ek / eb
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if logbins:
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rho_bins = np.logspace(
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np.log10(np.min(rho)), np.log10(np.max(rho)), bins, base=10
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)
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else:
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rho_bins = np.linspace(np.min(rho), np.max(rho), bins)
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weights = mass_func(self.cells)
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# For each cell, bin_number contains the number of the bins it belongs to
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bin_number = np.zeros(len(B_norm))
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# Go through the min value of rho of each bin
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for rho_min in rho_bins[:-1]:
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bin_number = bin_number + (rho > rho_min).astype(int)
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# Compute the mean in each bin
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ek_eb = np.zeros(len(rho_bins) - 1)
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for i in range(len(ek_eb)):
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ek_eb[i] = np.mean(rapport[bin_number == i])
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# Get the center of each bin
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if logbins:
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centers = 10 ** (0.5 * (np.log10(rho_bins[1:]) + np.log10(rho_bins[:-1])))
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else:
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centers = 0.5 * (rho_bins[1:] + rho_bins[:-1])
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if self.pp_params.process.unload_cells:
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self.unload_cells()
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return ({"rho": centers, "Ek_Eb_rho": ek_eb}, {"logbins": logbins})
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def cos_vfluct_B(self):
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mean_speed = self.save.get_node("/globals/mwa_speed").read()
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@@ -836,6 +887,14 @@ class PostProcessor(HDF5Container):
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"/datasets",
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unit={"rho": self.info["unit_density"], "B": self.info["unit_mag"]},
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),
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"Ek_Eb_rho": Rule(
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self,
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self._Ek_Eb_rho,
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"Average of Ek/Eb as a function of rho",
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"/datasets",
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dependencies=["mwa_speed"],
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unit={"rho": self.info["unit_density"], "Ek_Eb_rho": cst.none},
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),
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# Profiles
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"axis": Rule(
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self,
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@@ -875,6 +934,13 @@ class PostProcessor(HDF5Container):
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dependencies={"mwa_speed": None},
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unit=self.info["unit_velocity"],
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),
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"mwa_B_int": Rule(
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self,
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partial(self._vol_avg, getter_B_int),
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"Mass weighted Magnetic intensity average",
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"/globals",
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unit=self.info["unit_mag"],
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),
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}
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# Average and other
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