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Periodic neighbours (#84)
* Edit the HMF plot * Add periodic dist 2 points * Add boxsize to RVSSphere * Add periodic distance * Adding periodic distance * Add imports * Change arguments * Update bounds * Lower min number of particles * Change kwargs * Add paths overlap quijote * Add some comments
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14 changed files with 196 additions and 61 deletions
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@ -143,13 +143,15 @@ def plot_mass_vs_maxpairoverlap(nsim0, nsimx):
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@cache_to_disk(7)
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def get_overlap(nsim0):
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def get_overlap(simname, nsim0):
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"""
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Calculate the summed overlap and probability of no match for a single
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reference simulation.
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Parameters
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----------
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simname : str
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Simulation name.
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nsim0 : int
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Simulation index.
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@ -167,7 +169,8 @@ def get_overlap(nsim0):
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Probability of no match for each halo in the reference simulation.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsimxs = csiborgtools.read.get_cross_sims(nsim0, paths, smoothed=True)
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nsimxs = csiborgtools.read.get_cross_sims(simname, nsim0, paths,
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smoothed=True)
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cat0 = open_cat(nsim0)
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catxs = []
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@ -195,7 +198,7 @@ def plot_mass_vsmedmaxoverlap(nsim0):
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nsim0 : int
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Reference simulation index.
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"""
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x, __, max_overlap, __, __ = get_overlap(nsim0)
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x, __, max_overlap, __, __ = get_overlap("csiborg", nsim0)
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for i in trange(max_overlap.shape[0]):
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if numpy.sum(numpy.isnan(max_overlap[i, :])) > 0:
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@ -255,7 +258,7 @@ def plot_summed_overlap_vs_mass(nsim0):
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-------
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None
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"""
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x, __, __, summed_overlap, prob_nomatch = get_overlap(nsim0)
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x, __, __, summed_overlap, prob_nomatch = get_overlap("csiborg", nsim0)
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del __
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collect()
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@ -389,12 +392,14 @@ def plot_mass_vs_separation(nsim0, nsimx, plot_std=False, min_overlap=0.0):
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@cache_to_disk(7)
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def get_max_key(nsim0, key):
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def get_max_key(simname, nsim0, key):
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"""
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Get the value of a maximum overlap halo's property.
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Parameters
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----------
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simname : str
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Simulation name.
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nsim0 : int
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Reference simulation index.
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key : str
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@ -412,7 +417,8 @@ def get_max_key(nsim0, key):
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Value of the property of the maximum overlap halo.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsimxs = csiborgtools.read.get_cross_sims(nsim0, paths, smoothed=True)
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nsimxs = csiborgtools.read.get_cross_sims(simname, nsim0, paths,
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smoothed=True)
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nsimxs = nsimxs
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cat0 = open_cat(nsim0)
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@ -440,7 +446,7 @@ def plot_maxoverlap_mass(nsim0):
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nsim0 : int
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Reference simulation index.
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"""
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mass0, __, __, stat = get_max_key(nsim0, "totpartmass")
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mass0, __, __, stat = get_max_key("csiborg", nsim0, "totpartmass")
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mu = numpy.mean(stat, axis=1)
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std = numpy.std(numpy.log10(stat), axis=1)
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@ -463,8 +469,10 @@ def plot_maxoverlap_mass(nsim0):
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axs[0].set_xlabel(r"$\log M_{\rm tot} ~ [M_\odot / h]$")
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axs[1].set_xlabel(r"$\log M_{\rm tot} ~ [M_\odot / h]$")
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axs[0].set_ylabel(r"Max. overlap mean of $\log M_{\rm tot} ~ [M_\odot / h]$")
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axs[1].set_ylabel(r"Max. overlap std. of $\log M_{\rm tot} ~ [M_\odot / h]$")
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axs[0].set_ylabel(
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r"Max. overlap mean of $\log M_{\rm tot} ~ [M_\odot / h]$")
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axs[1].set_ylabel(
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r"Max. overlap std. of $\log M_{\rm tot} ~ [M_\odot / h]$")
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ims = [im0, im1]
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for i in range(2):
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@ -498,7 +506,7 @@ def plot_maxoverlapstat(nsim0, key):
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Property to get.
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"""
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assert key != "totpartmass"
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mass0, key_val, __, stat = get_max_key(nsim0, key)
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mass0, key_val, __, stat = get_max_key("csiborg", nsim0, key)
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xlabels = {"lambda200c": r"\log \lambda_{\rm 200c}"}
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key_label = xlabels.get(key, key)
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@ -546,13 +554,15 @@ def plot_maxoverlapstat(nsim0, key):
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@cache_to_disk(7)
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def get_expected_mass(nsim0, min_overlap):
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def get_expected_mass(simname, nsim0, min_overlap):
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"""
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Get the expected mass of a reference halo given its overlap with halos
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from other simulations.
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Parameters
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----------
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simname : str
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Simulation name.
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nsim0 : int
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Reference simulation index.
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min_overlap : float
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@ -570,7 +580,8 @@ def get_expected_mass(nsim0, min_overlap):
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Probability of not matching the reference halo.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsimxs = csiborgtools.read.get_cross_sims(nsim0, paths, smoothed=True)
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nsimxs = csiborgtools.read.get_cross_sims(simname, nsim0, paths,
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smoothed=True)
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nsimxs = nsimxs
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cat0 = open_cat(nsim0)
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@ -602,7 +613,8 @@ def plot_mass_vs_expected_mass(nsim0, min_overlap=0, max_prob_nomatch=1):
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max_prob_nomatch : float, optional
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Maximum probability of no match to consider.
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"""
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mass, mu, std, prob_nomatch = get_expected_mass(nsim0, min_overlap)
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mass, mu, std, prob_nomatch = get_expected_mass("csiborg", nsim0,
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min_overlap)
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std = std / mu / numpy.log(10)
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mass = numpy.log10(mass)
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@ -1343,7 +1355,7 @@ def plot_kl_vs_overlap(runs, nsim, kwargs, runs_to_mass, plot_std=True,
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for run in runs:
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nn_data = nn_reader.read_single("csiborg", run, nsim, nobs=None)
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nn_hindxs = nn_data["ref_hindxs"]
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mass, overlap_hindxs, __, summed_overlap, prob_nomatch = get_overlap(nsim) # noqa
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mass, overlap_hindxs, __, summed_overlap, prob_nomatch = get_overlap("csiborg", nsim) # noqa
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# We need to match the hindxs between the two.
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hind2overlap_array = {hind: i for i, hind in enumerate(overlap_hindxs)}
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