turbox
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+9
-5
@@ -110,8 +110,12 @@ def build_turbox_data(pl, redo=False, cs0=0.28834810480560674):
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df = {}
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df["snapshots"] = pl.nums.values()
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df["n0"] = pl.study.get_nml("galbox_params/dens0").values()
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df["turbinit"] = pl.study.get_nml("galbox_params/turb").values()
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try:
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df["n0"] = pl.study.get_nml("galbox_params/dens0").values()
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df["turbinit"] = pl.study.get_nml("galbox_params/turb").values()
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except KeyError:
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df["n0"] = pl.study.get_nml("init_params/d_region").values()
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df["turbinit"] = 0
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df["solver"] = pl.study.get_nml("hydro_params/riemann").values()
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df["slope"] = pl.study.get_nml("hydro_params/slope_type").values()
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df["res"] = pl.study.get_nml("amr_params/levelmin").values()
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@@ -131,7 +135,7 @@ def build_turbox_data(pl, redo=False, cs0=0.28834810480560674):
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pl.study.avg_time_sigma("y", overwrite_dep=False)
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pl.study.avg_time_sigma("z", overwrite_dep=False)
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pl.study.time(overwrite=True)
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df["time"] = np.empty(len(pl.runs), dtype=list)
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time = pl.study.get_value("/series/time", unit=U.Myr)
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for run in pl.runs:
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@@ -145,10 +149,10 @@ def build_turbox_data(pl, redo=False, cs0=0.28834810480560674):
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for run in sigma_ax:
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sigma_ax[run] = sigma_ax[run].T[0]
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sigma1d.append(sigma_ax)
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sigma3d = {}
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for run in pl.runs:
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sigma3d[run] = np.sum([sigma1d_i[run]**2 for sigma1d_i in sigma1d], axis=0)
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sigma3d[run] = np.sum([sigma1d_i[run] ** 2 for sigma1d_i in sigma1d], axis=0)
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sigma3d[run] = list(map(np.sqrt, sigma3d[run]))
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df["sigma"] = np.zeros(len(pl.runs))
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