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Add load void data
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1 changed files with 20 additions and 9 deletions
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@ -29,35 +29,46 @@ from tqdm import tqdm
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###############################################################################
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###############################################################################
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def load_void_data(kind):
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def load_void_data(profile, kind):
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"""
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"""
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Load the void velocities from Sergij & Indranil's files for a given kind
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Load the void velocities from Sergij & Indranil's files for a given kind
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of void profile per observer.
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of void profile per observer.
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Parameters
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Parameters
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----------
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----------
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profile : str
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Void profile to load. One of "exp", "gauss", "mb".
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kind : str
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kind : str
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The kind of void profile to load. One of "exp", "gauss", "mb".
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Data kind, either "density" or "vrad".
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Returns
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Returns
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-------
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-------
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velocities : 3-dimensional array of shape (nLG, nrad, nphi)
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velocities : 3-dimensional array of shape (nLG, nrad, nphi)
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"""
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"""
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if kind not in ["exp", "gauss", "mb"]:
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if profile not in ["exp", "gauss", "mb"]:
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raise ValueError("kind must be one of 'exp', 'gauss', 'mb'")
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raise ValueError("profile must be one of 'exp', 'gauss', 'mb'")
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if kind not in ["density", "vrad"]:
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raise ValueError("kind must be one of 'density', 'vrad'")
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fdir = "/mnt/extraspace/rstiskalek/catalogs/IndranilVoid"
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fdir = "/mnt/extraspace/rstiskalek/catalogs/IndranilVoid"
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kind = kind.upper()
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if kind == "density":
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fdir = join(fdir, f"{kind}profile")
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fdir = join(fdir, "rho_data")
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tag = "rho"
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else:
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tag = "v_pec"
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profile = profile.upper()
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fdir = join(fdir, f"{profile}profile")
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files = glob(join(fdir, "*.dat"))
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files = glob(join(fdir, "*.dat"))
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rLG = [int(search(rf'v_pec_{kind}profile_rLG_(\d+)', f).group(1))
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rLG = [int(search(rf'{tag}_{profile}profile_rLG_(\d+)', f).group(1))
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for f in files]
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for f in files]
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rLG = np.sort(rLG)
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rLG = np.sort(rLG)
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for i, ri in enumerate(tqdm(rLG, desc="Loading void observer data")):
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for i, ri in enumerate(tqdm(rLG, desc=f"Loading void `{kind}`observer data")): # noqa
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f = join(fdir, f"v_pec_{kind}profile_rLG_{ri}.dat")
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f = join(fdir, f"{tag}_{profile}profile_rLG_{ri}.dat")
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data_i = np.genfromtxt(f).T
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data_i = np.genfromtxt(f).T
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if i == 0:
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if i == 0:
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