mirror of https://github.com/Richard-Sti/csiborgtools.git synced 2024-12-22 17:28:02 +00:00

Richard Stiskalek ffaf92cd4b

* Add CB2X paths

* Update imports

* Add CB2 params

* Add CB2x fields

* Add CB2X field

* Add parallelized

* Add **kwargs

* Update nb

* Minor updates

2024-06-21 19:21:06 +01:00

344 KiB

Raw Blame History

Calibrating the velocity field against observations¶

In [ ]:

# Copyright (C) 2024 Richard Stiskalek
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
import numpy as np
import matplotlib.pyplot as plt
import jax
from numpyro.infer import MCMC, NUTS, init_to_median
import corner
from getdist import plots
from scipy.stats import multivariate_normal

import csiborgtools

from flow_calibration import *

%load_ext autoreload
%autoreload 2
%matplotlib inline

paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)

LOS density & radial velocity plots¶

In [37]:

fpath = "/mnt/extraspace/rstiskalek/catalogs/PV_compilation.hdf5"

loader_carrick = csiborgtools.flow.DataLoader("Carrick2015", 0, "LOSS", fpath, paths, ksmooth=0, )
loaders_csiborg2X = [csiborgtools.flow.DataLoader("csiborg2X", i, "LOSS", fpath, paths, ksmooth=1, verbose=False) for i in range(20)]
loaders_csiborg2 = [csiborgtools.flow.DataLoader("csiborg2_main", i, "LOSS", fpath, paths, ksmooth=1, verbose=False) for i in range(20)]

2024-06-21 17:15:50.033499:   reading the catalogue,
2024-06-21 17:15:50.046835:   reading the interpolated field,
2024-06-21 17:15:50.056588:   calculating the radial velocity.

/mnt/users/rstiskalek/csiborgtools/csiborgtools/flow/flow_model.py:92: UserWarning: The number of radial steps is even. Skipping the first step at 0.0 because Simpson's rule requires an odd number of steps.
  warn(f"The number of radial steps is even. Skipping the first "

In [ ]:

ks = [i for i in range(50)]

for k in ks:
    fig, axs = plt.subplots(2, 1, figsize=(7, 7), sharex=True)
    fig.subplots_adjust(wspace=0)
    cols = plt.rcParams['axes.prop_cycle'].by_key()['color']
    # CSiBORG2
    x = loaders_csiborg2X[0].rdist
    y = np.asarray([loaders_csiborg2[i].los_density[k, :] for i in range(len(loaders_csiborg2X))])
    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)
    axs[0].fill_between(x, ylow, yhigh, color=cols[0], alpha=0.25)
    axs[0].plot(x, ymed, color=cols[0], label="CSiBORG2")

    y = np.asarray([loaders_csiborg2[i].los_radial_velocity[k, :] for i in range(len(loaders_csiborg2X))])
    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)
    axs[1].fill_between(x, ylow, yhigh, color=cols[0], alpha=0.25)
    axs[1].plot(x, ymed, color=cols[0], label="CSiBORG2")

    # CSiBORG2X
    x = loaders_csiborg2X[0].rdist
    y = np.asarray([loaders_csiborg2X[i].los_density[k, :] for i in range(len(loaders_csiborg2X))])
    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)
    axs[0].fill_between(x, ylow, yhigh, color=cols[1], alpha=0.25)
    axs[0].plot(x, ymed, color=cols[1], label="CSiBORG2X")

    y = np.asarray([loaders_csiborg2X[i].los_radial_velocity[k, :] for i in range(len(loaders_csiborg2X))])
    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)
    axs[1].fill_between(x, ylow, yhigh, color=cols[1], alpha=0.25)
    axs[1].plot(x, ymed, color=cols[1], label="CSiBORG2X")

    # Plot Carrick+2015
    axs[0].plot(loader_carrick.rdist, loader_carrick.los_density[k, :], color="red", label="Carrick+2015")
    axs[1].plot(loader_carrick.rdist, loader_carrick.los_radial_velocity[k, :] * 0.43, color="red")


    axs[1].set_xlabel(r"$r ~ [\mathrm{Mpc} / h]$")
    axs[0].set_ylabel(r"$\rho_{\rm LOS} / \langle \rho_{\rm matter} \rangle$")
    axs[1].set_ylabel(r"$v_{\rm LOS} ~ [\mathrm{km/s}]$")
    axs[0].set_yscale("log")

    axs[0].legend(loc="upper right")
    axs[0].set_xlim(0, 200)

    fig.tight_layout(w_pad=0, h_pad=0)
    fig.savefig(f"../../plots/LOSS_los_{k}.png", dpi=500, bbox_inches="tight")

    fig.show()

Test running a model¶

In [91]:

fpath_data = "/mnt/extraspace/rstiskalek/catalogs/PV_compilation.hdf5"
# fpath_data = "/mnt/extraspace/rstiskalek/catalogs/A2.h5"
# fpath_data = "/mnt/extraspace/rstiskalek/catalogs/PV_mock_CB2_17417_large.hdf5"

simname = "Carrick2015"
catalogue = "2MTF"
loader = csiborgtools.flow.DataLoader(simname, 0, catalogue, fpath_data, paths, ksmooth=0)
get_model_kwargs = {"zcmb_max": 0.05}

2024-06-21 18:08:51.114971:   reading the catalogue,
2024-06-21 18:08:51.122661:   reading the interpolated field,
2024-06-21 18:08:51.182633:   calculating the radial velocity.

/mnt/users/rstiskalek/csiborgtools/csiborgtools/flow/flow_model.py:91: UserWarning: The number of radial steps is even. Skipping the first step at 0.0 because Simpson's rule requires an odd number of steps.
  warn(f"The number of radial steps is even. Skipping the first "

Running HMC¶

In [104]:

model = csiborgtools.flow.get_model(loader, **get_model_kwargs)
model_kwargs = {"sample_alpha": True, "sample_beta": True}

Selected 1248/1248 galaxies.

In [105]:

kernel = NUTS(model, init_strategy=init_to_median(num_samples=100))
mcmc = MCMC(kernel, num_warmup=250, num_samples=500)

rng_key = jax.random.PRNGKey(5)
mcmc.run(rng_key, **model_kwargs)
mcmc.print_summary()
samples = mcmc.get_samples()

sample: 100%|██████████| 750/750 [03:34<00:00,  3.50it/s, 7 steps of size 5.63e-01. acc. prob=0.88]

                      mean       std    median      5.0%     95.0%     n_eff     r_hat
          Vext_x   -107.14     16.03   -107.20   -132.71    -81.92    985.54      1.00
          Vext_y   -103.76     18.57   -103.98   -134.73    -73.43    686.42      1.01
          Vext_z   -114.33     17.71   -113.60   -143.50    -86.52    489.79      1.00
               a    -22.28      0.02    -22.28    -22.31    -22.25    647.90      1.00
           alpha      1.53      0.08      1.53      1.39      1.66    872.66      1.00
               b     -6.28      0.09     -6.27     -6.41     -6.12    799.07      1.00
            beta      0.40      0.03      0.41      0.36      0.44    718.68      1.00
  e_mu_intrinsic      0.41      0.01      0.41      0.39      0.42    594.15      1.00
         sigma_v    115.92     11.15    115.45     98.05    133.76    732.54      1.00

Number of divergences: 0

In [88]:

ndata = 1248
from jax import numpy as jnp
from jax import devices

ndevices = 2
indxs = jnp.arange(ndata).reshape(ndevices, -1)

In [90]:

indxs

Out[90]:

Array([[   0,    1,    2, ...,  621,  622,  623],
       [ 624,  625,  626, ..., 1245, 1246, 1247]], dtype=int32)

In [ ]:

In [79]:

Vmag = np.sqrt(samples["Vext_x"]**2 + samples["Vext_y"]**2 + samples["Vext_z"]**2)

V = np.vstack([samples["Vext_x"], samples["Vext_y"], samples["Vext_z"]]).T
V = csiborgtools.cartesian_to_radec(V)

l, b = csiborgtools.flow.radec_to_galactic(V[:, 1], V[:, 2])

print(f"|V|  = {np.mean(Vmag)} +- {np.std(Vmag)}")
print(f"l    = {np.mean(l)} +- {np.std(l)}")
print(f"b    = {np.mean(b)} +- {np.std(b)}")
if "beta" in samples:
    print(f"beta = {np.mean(samples['beta'])} +- {np.std(samples['beta'])}")

|V|  = 189.18643188476562 +- 18.434009552001953
l    = 328.73439952474195 +- 6.045875008151092
b    = 19.147533871849525 +- 5.45638871095807
beta = 0.40421125292778015 +- 0.02472345344722271

In [81]:

jax.devices()

Out[81]:

[CpuDevice(id=0)]

In [80]:

data = [l, b, Vmag]
labels = [r"$l$", r"$b$", r"$|\bf{V}_{\rm ext}|$"]
if "alpha" in samples:
    data.append(samples["alpha"])
    labels.append(r"$\alpha$")

if "beta" in samples:
    data.append(samples["beta"])
    labels.append(r"$\beta$")

if "h" in samples:
    data.append(samples["h"])
    labels.append(r"$h$")

data = np.vstack(data).T
fig = corner.corner(data, labels=labels, show_titles=True, title_fmt=".3f", title_kwargs={"fontsize": 12}, smooth=1)
fig.savefig(f"../../plots/mock_{simname}_{catalogue}.png", dpi=500, bbox_inches="tight")

No description has been provided for this image

Vizualize the results¶

In [ ]:

data, names, gof = read_samples("Pantheon+_groups", "Carrick2015", 0)

fig = corner.corner(data, labels=names_to_latex(names, True), show_titles=True,
                    title_fmt=".3f", title_kwargs={"fontsize": 12}, smooth=1)

$\texttt{LOSS}$ comparison¶

In [ ]:

LOSS_Carrick_0 = read_samples("LOSS", "Carrick2015", 0, return_MCsamples=True)
LOSS_Carrick_1 = read_samples("LOSS", "Carrick2015", 1, return_MCsamples=True)

LOSS_CB1_0 = read_samples("LOSS", "csiborg1", 0, return_MCsamples=True)
LOSS_CB1_1 = read_samples("LOSS", "csiborg1", 1, return_MCsamples=True)

LOSS_CB2_0 = read_samples("LOSS", "csiborg2_main", 0, return_MCsamples=True)
LOSS_CB2_1 = read_samples("LOSS", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
     LOSS_Carrick_0,
     # LOSS_Carrick_1,
     # LOSS_CB1_0,
     LOSS_CB1_1,
     LOSS_CB2_0,
     LOSS_CB2_1,
     ]

# params = ["l", "b", "Vmag", "beta"]
params = None

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, params=params, filled=True, legend_loc='upper right', )
g.export(f"../plots/LOSS_comparison.png", dpi=500,)

$\texttt{Foundation}$ comparison¶

In [ ]:

FOUNDATION_Carrick_0 = read_samples("Foundation", "Carrick2015", 0, return_MCsamples=True)
FOUNDATION_Carrick_1 = read_samples("Foundation", "Carrick2015", 1, return_MCsamples=True)

FOUNDATION_CB1_0 = read_samples("Foundation", "csiborg1", 0, return_MCsamples=True)
FOUNDATION_CB1_1 = read_samples("Foundation", "csiborg1", 1, return_MCsamples=True)

FOUNDATION_CB2_0 = read_samples("Foundation", "csiborg2_main", 0, return_MCsamples=True)
FOUNDATION_CB2_1 = read_samples("Foundation", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
    FOUNDATION_Carrick_0,
    # FOUNDATION_Carrick_1,
    # FOUNDATION_CB1_0,
    FOUNDATION_CB1_1,
    FOUNDATION_CB2_0,
    FOUNDATION_CB2_1,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
g.export(f"../plots/FOUNDATION_comparison.png", dpi=500,)

$\texttt{Pantheon+}$ comparison¶

In [ ]:

PANTHEONP_Carrick_0 = read_samples("Pantheon+", "Carrick2015", 0, return_MCsamples=True)
PANTHEONP_Carrick_1 = read_samples("Pantheon+", "Carrick2015", 1, return_MCsamples=True)

# PANTHEONP_CB1_0 = read_samples("Pantheon+", "csiborg1", 0, return_MCsamples=True)
# PANTHEONP_CB1_1 = read_samples("Pantheon+", "csiborg1", 1, return_MCsamples=True)

PANTHEONP_CB2_0 = read_samples("Pantheon+", "csiborg2_main", 0, return_MCsamples=True)
PANTHEONP_CB2_1 = read_samples("Pantheon+", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
    PANTHEONP_Carrick_0,
    # PANTHEONP_Carrick_1,
    # PANTHEONP_CB1_0,
    # PANTHEONP_CB1_1,
    PANTHEONP_CB2_0,
    PANTHEONP_CB2_1,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
# g.export(f"../plots/PANTHEONP_comparison.png", dpi=500,)

$\texttt{Pantheon+}$ groups¶

In [ ]:

LG = -1

PANTHEONP_Carrick = read_samples("Pantheon+", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG, )
PANTHEONP_Carrick_Groups = read_samples("Pantheon+_groups", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG)
PANTHEONP_Carrick_Groups_zSN = read_samples("Pantheon+_groups_zSN", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG)
PANTHEONP_Carrick_zSN = read_samples("Pantheon+_zSN", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG)

# ksmooth = 1
# PANTHEONP_CB2 = read_samples("Pantheon+", "csiborg2_main", ksmooth, return_MCsamples=True, subtract_LG_velocity=LG)
# PANTHEONP_CB2_Groups = read_samples("Pantheon+_groups", "csiborg2_main", ksmooth, return_MCsamples=True, subtract_LG_velocity=LG)
# PANTHEONP_CB2_Groups_zSN = read_samples("Pantheon+_groups_zSN", "csiborg2_main", ksmooth, return_MCsamples=True, subtract_LG_velocity=LG)

In [ ]:

params = ["Vmag", "l", "b"]
CMB = MCSamples(samples=multivariate_normal([627, 276, 30], [22, 3, 3]).rvs(size=20000),
                names=params, labels=names_to_latex(params, True), label="CMB")


X = [
    PANTHEONP_Carrick,
    # PANTHEONP_Carrick_Groups,
    # PANTHEONP_Carrick_Groups_zSN,
    PANTHEONP_Carrick_zSN,
    # PANTHEONP_CB2,
    # PANTHEONP_CB2_Groups,
    # PANTHEONP_CB2_Groups_zSN,
    # CMB,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
g.export(f"../../plots/PANTHEON_GROUPS_Carrick_comparison_LG.png", dpi=500,)

$\texttt{2MTF}$ comparison¶

In [ ]:

TWOMTF_Carrick_0 = read_samples("2MTF", "Carrick2015", 0, return_MCsamples=True)
TWOMTF_Carrick_1 = read_samples("2MTF", "Carrick2015", 1, return_MCsamples=True)

TWOMTF_CB1_0 = read_samples("2MTF", "csiborg1", 0, return_MCsamples=True)
TWOMTF_CB1_1 = read_samples("2MTF", "csiborg1", 1, return_MCsamples=True)

TWOMTF_CB2_0 = read_samples("2MTF", "csiborg2_main", 0, return_MCsamples=True)
TWOMTF_CB2_1 = read_samples("2MTF", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
    TWOMTF_Carrick_0,
    # TWOMTF_Carrick_1,
    # TWOMTF_CB1_0,
    TWOMTF_CB1_1,
    TWOMTF_CB2_0,
    TWOMTF_CB2_1,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
g.export(f"../plots/2MTF_comparison.png", dpi=500,)

$\texttt{SFI++ galaxies}$ comparison¶

In [ ]:

SFIGAL_Carrick_0 = read_samples("SFI_gals", "Carrick2015", 0, return_MCsamples=True)
SFIGAL_Carrick_1 = read_samples("SFI_gals", "Carrick2015", 1, return_MCsamples=True)

# SFIGAL_CB1_0 = read_samples("SFI_gals", "csiborg1", 0, return_MCsamples=True)
# SFIGAL_CB1_1 = read_samples("SFI_gals", "csiborg1", 1, return_MCsamples=True)

SFIGAL_CB2_0 = read_samples("SFI_gals", "csiborg2_main", 0, return_MCsamples=True)
SFIGAL_CB2_1 = read_samples("SFI_gals", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
    SFIGAL_Carrick_0,
    # SFIGAL_Carrick_1,
    # SFIGAL_CB1_0,
    # SFIGAL_CB1_1,
    # SFIGAL_CB2_0,
    SFIGAL_CB2_1,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
g.export(f"../plots/SFI_gals_comparison.png", dpi=500,)

$\texttt{SFI++ groups}$ comparison¶

In [ ]:

SFIGROUP_Carrick_0 = read_samples("SFI_groups", "Carrick2015", 0, return_MCsamples=True)
SFIGROUP_Carrick_1 = read_samples("SFI_groups", "Carrick2015", 1, return_MCsamples=True)

SFIGROUP_CB2_0 = read_samples("SFI_groups", "csiborg2_main", 0, return_MCsamples=True)
SFIGROUP_CB2_1 = read_samples("SFI_groups", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
    SFIGROUP_Carrick_0,
    SFIGAL_Carrick_0,
    # SFIGROUP_Carrick_1,
    # SFIGROUP_CB2_0,
    # SFIGROUP_CB2_1,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
g.export(f"../plots/SFI_gals_vs_groups_comparison.png", dpi=500,)

SN to TF comparison¶

In [ ]:

LG = 0

# PANTHEONP_Carrick = read_samples("Pantheon+", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG, )
# PANTHEONP_Groups_Carrick = read_samples("Pantheon+_groups", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG, )
# TWOMTF_Carrick = read_samples("2MTF", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG)
# SFIGAL_Carrick = read_samples("SFI_gals", "Carrick2015", 0, return_MCsamples=True, subtract_LG_velocity=LG)

k = 1
PANTHEONP_CB2 = read_samples("Pantheon+", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG, )
PANTHEONP_Groups_CB2 = read_samples("Pantheon+_groups", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG, )
TWOMTF_CB2 = read_samples("2MTF", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)
SFIGAL_CB2 = read_samples("SFI_gals", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)

In [ ]:

params = ["Vmag", "l", "b"]
CMB = MCSamples(samples=multivariate_normal([627, 276, 30], [22, 3, 3]).rvs(size=20000),
                names=params, labels=names_to_latex(params, True), label="CMB")


X = [
    # PANTHEONP_Carrick,
    # PANTHEONP_Groups_Carrick,
    # TWOMTF_Carrick,
    # SFIGAL_Carrick,
    PANTHEONP_CB2,
    PANTHEONP_Groups_CB2,
    TWOMTF_CB2,
    SFIGAL_CB2,
    CMB,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
# g.export(f"../../plots/SN_TF_CB2_consistency.png", dpi=500,)

Mock $\texttt{CB2}$ comparison¶

In [ ]:

SMALLMOCK_CB2_0 = read_samples("CB2_small", "csiborg2_main", 0, return_MCsamples=True)
SMALLMOCK_CB2_1 = read_samples("CB2_small", "csiborg2_main", 1, return_MCsamples=True)

LARGEMOCK_CB2_0 = read_samples("CB2_large", "csiborg2_main", 0, return_MCsamples=True)
LARGEMOCK_CB2_1 = read_samples("CB2_large", "csiborg2_main", 1, return_MCsamples=True)

In [ ]:

X = [
    # SMALLMOCK_CB2_0,
    # SMALLMOCK_CB2_1,
    LARGEMOCK_CB2_0,
    LARGEMOCK_CB2_1,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, filled=True, legend_loc='upper right')
g.export(f"../plots/CB2_mocks_large.png", dpi=500,)

External flow consistency¶

Carrick2015¶

In [ ]:

X = [
    # LOSS_Carrick_0,
    # FOUNDATION_Carrick_0,
    PANTHEONP_Carrick_0,
    TWOMTF_Carrick_0,
    SFIGAL_Carrick_0,
    ]

params = ["Vmag", "l", "b", "beta"]
g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, params=params, filled=True, legend_loc='upper right',)
g.export(f"../plots/Carrick2015_external_flow.png", dpi=500,)

CSiBORG1¶

In [ ]:

X = [
    # LOSS_CB1_1,
    # FOUNDATION_CB1_1,
    PANTHEONP_CB1_1,
    TWOMTF_CB1_1,
    # SFIGAL_CB1_1,
    ]

params = ["Vmag", "l", "b", "beta"]
g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, params=params, filled=True, legend_loc='upper right',)
g.export(f"../plots/CB1_external_flow.png", dpi=500,)

CSiBORG2¶

In [ ]:

X = [
    # LOSS_CB2_1,
    # FOUNDATION_CB2_1,
    PANTHEONP_CB2_1,
    TWOMTF_CB2_1,
    SFIGAL_CB2_1,
    ]

params = ["Vmag", "l", "b", "beta"]
g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, params=params, filled=True, legend_loc='upper right',)
g.export(f"../plots/CB2_external_flow.png", dpi=500,)

In [ ]:

k = 1
LG = 0

# Carrick
# LOSS_Carrick_LG = read_samples("LOSS", "Carrick2015", k, return_MCsamples=True, subtract_LG_velocity=LG)
# FOUNDATION_Carrick_LG = read_samples("Foundation", "Carrick2015", k, return_MCsamples=True, subtract_LG_velocity=LG)
# PANTHEON_Carrick_LG = read_samples("Pantheon+", "Carrick2015", k, return_MCsamples=True, subtract_LG_velocity=LG)
# TWOMTF_Carrick_LG = read_samples("2MTF", "Carrick2015", k, return_MCsamples=True, subtract_LG_velocity=LG)
SFIGAL_Carrick_LG = read_samples("SFI_gals", "Carrick2015", k, return_MCsamples=True, subtract_LG_velocity=LG)
SFIGROUPS_Carrick_LG = read_samples("SFI_groups", "Carrick2015", k, return_MCsamples=True, subtract_LG_velocity=LG)


# # CSiBORG2
# LOSS_CB2_LG = read_samples("LOSS", "csiborg2_main", k, return_MCsamples=True,subtract_LG_velocity=LG)
# FOUNDATION_CB2_LG = read_samples("Foundation", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)
# PANTHEON_CB2_LG = read_samples("Pantheon+", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)
# TWOMTF_CB2_LG = read_samples("2MTF", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)
SFIGAL_CB2_LG = read_samples("SFI_gals", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)
SFIGROUP_CB2_LG = read_samples("SFI_groups", "csiborg2_main", k, return_MCsamples=True, subtract_LG_velocity=LG)

# # CSiBORG1
# LOSS_CB1_LG = read_samples("LOSS", "csiborg1", k, return_MCsamples=True, subtract_LG_velocity=LG)
# FOUNDATION_CB1_LG = read_samples("Foundation", "csiborg1", k, return_MCsamples=True, subtract_LG_velocity=LG)
# PANTHEON_CB1_LG = read_samples("Pantheon+", "csiborg1", k, return_MCsamples=True, subtract_LG_velocity=LG)
# TWOMTF_CB1_LG = read_samples("2MTF", "csiborg1", k, return_MCsamples=True, subtract_LG_velocity=LG)
# SFIGAL_CB1_LG = read_samples("SFI_gals", "csiborg1", k, return_MCsamples=True, subtract_LG_velocity=LG)

In [ ]:

params = ["Vmag", "l", "b"]
CMB = MCSamples(samples=multivariate_normal([627, 276, 30], [22, 3, 3]).rvs(size=20000),
                names=params, labels=names_to_latex(params, True), label="CMB")

X = [
    # LOSS_Carrick_LG,
    # FOUNDATION_Carrick_LG,
    # PANTHEON_Carrick_LG,
    # TWOMTF_Carrick_LG,
    # SFIGAL_Carrick_LG,
    # SFIGROUPS_Carrick_LG,
    # LOSS_CB1_LG,
    # FOUNDATION_CB1_LG,
    # PANTHEON_CB1_LG,
    # TWOMTF_CB1_LG,
    # SFIGAL_CB1_LG,
    # LOSS_CB2_LG,
    # FOUNDATION_CB2_LG,
    # PANTHEON_CB2_LG,
    # TWOMTF_CB2_LG,
    SFIGAL_CB2_LG,
    SFIGROUP_CB2_LG,
    CMB,
    ]

g = plots.get_subplot_plotter()
g.settings.figure_legend_frame = False
g.settings.alpha_filled_add = 0.75
# g.settings.title_limit_fontsize = 14
g.triangle_plot(X, params=params, filled=True, legend_loc='upper right', )
# g.export(f"../plots/ALL_dipole.png", dpi=500,)

In [ ]:

344 KiB Raw Blame History

Calibrating the velocity field against observations¶

LOS density & radial velocity plots¶

Test running a model¶

Running HMC¶

Vizualize the results¶

$\texttt{LOSS}$ comparison¶

$\texttt{Foundation}$ comparison¶

$\texttt{Pantheon+}$ comparison¶

$\texttt{Pantheon+}$ groups¶

$\texttt{2MTF}$ comparison¶

$\texttt{SFI++ galaxies}$ comparison¶

$\texttt{SFI++ groups}$ comparison¶

SN to TF comparison¶

Mock $\texttt{CB2}$ comparison¶

External flow consistency¶

Carrick2015¶

CSiBORG1¶

CSiBORG2¶

344 KiB

Raw Blame History