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Update plotting (#71)
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1b0773de7f
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cd6d448874
1 changed files with 15 additions and 15 deletions
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@ -422,7 +422,7 @@ def get_sky_label(kind, volume_weight):
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if kind == "density":
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label = r"$\log \int_{0}^{R} r^2 \rho(r, \mathrm{RA}, \mathrm{dec}) \mathrm{d} r$" # noqa
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if kind == "overdensity":
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label = r"$\log \int_{0}^{R} r^2 \left[\delta(r, \mathrm{RA}, \mathrm{dec}) + 2\right] \mathrm{d} r$" # noqa
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label = r"$\log \int_{0}^{R} r^2 \left[\delta(r, \mathrm{RA}, \mathrm{dec}) + 1\right] \mathrm{d} r$" # noqa
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elif kind == "potential":
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label = r"$\int_{0}^{R} r^2 \phi(r, \mathrm{RA}, \mathrm{dec}) \mathrm{d} r$" # noqa
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elif kind == "radvel":
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@ -433,7 +433,7 @@ def get_sky_label(kind, volume_weight):
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if kind == "density":
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label = r"$\log \int_{0}^{R} \rho(r, \mathrm{RA}, \mathrm{dec}) \mathrm{d} r$" # noqa
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if kind == "overdensity":
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label = r"$\log \int_{0}^{R} \left[\delta(r, \mathrm{RA}, \mathrm{dec}) + 2\right] \mathrm{d} r$" # noqa
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label = r"$\log \int_{0}^{R} \left[\delta(r, \mathrm{RA}, \mathrm{dec}) + 1\right] \mathrm{d} r$" # noqa
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elif kind == "potential":
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label = r"$\int_{0}^{R} \phi(r, \mathrm{RA}, \mathrm{dec}) \mathrm{d} r$" # noqa
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elif kind == "radvel":
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@ -443,9 +443,9 @@ def get_sky_label(kind, volume_weight):
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return label
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def plot_sky_distribution(kind, nsim, grid, nside, smooth_scale, MAS="PCS",
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plot_groups=True, dmin=0, dmax=220, plot_halos=None,
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volume_weight=True, pdf=False):
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def plot_sky_distribution(field, nsim, grid, nside, smooth_scale=None,
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MAS="PCS", plot_groups=True, dmin=0, dmax=220,
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plot_halos=None, volume_weight=True, pdf=False):
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r"""
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Plot the sky distribution of a given field kind on the sky along with halos
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and selected observations.
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@ -503,7 +503,7 @@ def plot_sky_distribution(kind, nsim, grid, nside, smooth_scale, MAS="PCS",
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label = get_sky_label(kind, volume_weight)
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if kind in ["density", "overdensity"]:
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out = numpy.log10(out)
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healpy.mollview(out, fig=0, title="", unit=label)
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healpy.mollview(out, fig=0, title="", unit=label, rot=90)
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if plot_halos is not None:
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bounds = {"dist": (dmin, dmax),
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@ -512,7 +512,7 @@ def plot_sky_distribution(kind, nsim, grid, nside, smooth_scale, MAS="PCS",
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X = cat.position(cartesian=False)
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healpy.projscatter(numpy.deg2rad(X[:, 2] + 90),
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numpy.deg2rad(X[:, 1]),
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s=1, c="red", label="CSiBORG haloes")
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s=5, c="red", label="CSiBORG haloes")
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if plot_groups:
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groups = csiborgtools.read.TwoMPPGroups(fpath="/mnt/extraspace/rstiskalek/catalogs/2M++_group_catalog.dat") # noqa
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@ -521,7 +521,7 @@ def plot_sky_distribution(kind, nsim, grid, nside, smooth_scale, MAS="PCS",
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label="2M++ groups")
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if plot_halos is not None or plot_groups:
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plt.legend(markerscale=10)
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plt.legend(markerscale=5)
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for ext in ["png"] if pdf is False else ["png", "pdf"]:
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fout = join(plt_utils.fout, f"sky_{kind}_{nsim}_from_{dmin}_to_{dmax}_vol{volume_weight}.{ext}") # noqa
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@ -552,14 +552,14 @@ if __name__ == "__main__":
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if False:
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plot_hmf(pdf=False)
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if False:
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kind = "environment"
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grid = 256
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plot_sky_distribution(kind, 7444, grid, nside=64,
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plot_groups=False, dmin=0, dmax=25,
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plot_halos=5e13, volume_weight=False)
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if True:
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kind = "overdensity"
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grid = 1024
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plot_sky_distribution(kind, 7444, grid, nside=64,
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plot_groups=False, dmin=45, dmax=60,
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plot_halos=5e13, volume_weight=True)
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if False:
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kind = "density"
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grid = 256
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smooth_scale = 0
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