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csiborgtools/notebooks/flow/selection.ipynb
Richard Stiskalek 2b938c112c
More flow preparation & Olympics (#143) 
* Add more comments

* Add flow paths

* Simplify paths

* Update default arguemnts

* Update paths

* Update param names

* Update some of scipts for reading files

* Add the Mike method option

* Update plotting

* Update fnames

* Simplify things

* Make more default options

* Add print

* Update

* Downsample CF4

* Update numpyro selection

* Add selection fitting nb

* Add coeffs

* Update script

* Add nb

* Add label

* Increase number of steps

* Update default params

* Add more labels

* Improve file name

* Update nb

* Fix little bug

* Remove import

* Update scales

* Update labels

* Add script

* Update script

* Add more

* Add more labels

* Add script

* Add submit

* Update spacing

* Update submit scrips

* Update script

* Update defaults

* Update defaults

* Update nb

* Update test

* Update imports

* Add script

* Add support for Indranil void

* Add a dipole

* Update nb

* Update submit

* Update Om0

* Add final

* Update default params

* Fix bug

* Add option to fix to LG frame

* Add Vext label

* Add Vext label

* Update script

* Rm fixed LG

* rm LG stuff

* Update script

* Update bulk flow plotting

* Update nb

* Add no field option

* Update defaults

* Update nb

* Update script

* Update nb

* Update nb

* Add names to plots

* Update nb

* Update plot

* Add more latex names

* Update default

* Update nb

* Update np

* Add plane slicing

* Add nb with slices

* Update nb

* Update script

* Upddate nb

* Update nb
2024-09-11 08:45:42 +02:00

14 KiB
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In [1]:
import numpy as np
import matplotlib.pyplot as plt
from h5py import File
from scipy.stats import spearmanr

import csiborgtools

%matplotlib inline
%load_ext autoreload
%autoreload 2
In [2]:
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)

# d = np.load(paths.field_interpolated("SDSS", "csiborg2_main", 16817, "density", "SPH", 1024))
In [33]:
survey = csiborgtools.SDSS()(apply_selection=False)
# survey = csiborgtools.SDSSxALFALFA()(apply_selection=False)
In [35]:
for kind in ["main", "random"]:
    x, smooth = csiborgtools.summary.read_interpolated_field(survey, f"csiborg2_{kind}", "density", "SPH", 1024, paths)
    np .savez(f"../data/{survey.name}_{kind}_density_SPH_1024.npz", val=x, smooth_scales=smooth)

Reading fields:   0%|          | 0/20 [00:00<?, ?it/s]Reading fields: 100%|██████████| 20/20 [00:11<00:00,  1.80it/s]
Reading fields: 100%|██████████| 20/20 [00:10<00:00,  1.86it/s]
In [37]:
Out[37]:
(20, 641409, 5)
In [24]:
np.load("../data/SDSS_main_density_SPH_1024.npz")["val"]
Out[24]:
array([[[nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        ...,
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan]],

       [[nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        ...,
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan]],

       [[nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        ...,
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan]],

       ...,

       [[nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        ...,
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan]],

       [[nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        ...,
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan]],

       [[nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        ...,
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan],
        [nan, nan, nan, nan, nan]]], dtype=float32)
In [ ]: