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Box units conversion (#3)
* linting * fix long line * rename nb * rename import * add group catalog * move imports out of functions * add array_to_structured * add references * fix subsampling * fix coord bug * add 2M++ dists * save nb * fix comment * add snapshot path * add snapshot path * add read_info * Move transforms * add import radec * expand docs * Move flipcols * update nb * add flip_cols * create file * add blank line * Move units transfs * add blank line * add units import * rm imports * add import * add box_units * add comments
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18 changed files with 6730 additions and 1574 deletions
1157
scripts/dist.ipynb
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1157
scripts/dist.ipynb
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1105
scripts/plot_galaxy_distribution.ipynb
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scripts/plot_galaxy_distribution.ipynb
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@ -12,8 +12,14 @@
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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"""
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Notebook utility functions.
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"""
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"""Notebook utility funnctions."""
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import numpy
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from tqdm import trange
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from astropy.cosmology import FlatLambdaCDM
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try:
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import galomatch
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@ -26,9 +32,9 @@ def load_mmain_convert(n):
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srcdir = "/users/hdesmond/Mmain"
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arr = galomatch.io.read_mmain(n, srcdir)
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galomatch.io.convert_mass_cols(arr, "mass_cl")
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galomatch.io.convert_position_cols(arr, ["peak_x", "peak_y", "peak_z"])
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galomatch.io.flip_cols(arr, "peak_x", "peak_z")
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galomatch.utils.convert_mass_cols(arr, "mass_cl")
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galomatch.utils.convert_position_cols(arr, ["peak_x", "peak_y", "peak_z"])
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galomatch.utils.flip_cols(arr, "peak_x", "peak_z")
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d, ra, dec = galomatch.utils.cartesian_to_radec(arr)
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arr = galomatch.utils.add_columns(arr, [d, ra, dec], ["dist", "ra", "dec"])
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@ -36,20 +42,25 @@ def load_mmain_convert(n):
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def load_mmains(N=None, verbose=True):
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from tqdm import tqdm
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ids = galomatch.io.get_csiborg_ids("/mnt/extraspace/hdesmond")
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N = ids.size if N is None else N
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if N > ids.size:
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raise ValueError("`N` cannot be larger than 101.")
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# If N less than num of CSiBORG, then radomly choose
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if N == ids.size:
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choices = numpy.arange(N)
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else:
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choices = numpy.random.choice(ids.size, N, replace=False)
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out = [None] * N
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iters = tqdm(range(N)) if verbose else range(N)
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iters = trange(N) if verbose else range(N)
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for i in iters:
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out[i] = load_mmain_convert(ids[i])
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j = choices[i]
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out[i] = load_mmain_convert(ids[j])
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return out
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def load_planck2015(max_comdist=214):
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from astropy.cosmology import FlatLambdaCDM
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cosmo = FlatLambdaCDM(H0=70.5, Om0=0.307, Tcmb0=2.728)
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fpath = ("/mnt/zfsusers/rstiskalek/galomatch/"
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+ "data/HFI_PCCS_SZ-union_R2.08.fits")
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@ -57,4 +68,5 @@ def load_planck2015(max_comdist=214):
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def load_2mpp():
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return galomatch.io.read_2mpp("../data/2M++_galaxy_catalog.dat")
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cosmo = FlatLambdaCDM(H0=70.5, Om0=0.307, Tcmb0=2.728)
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return galomatch.io.read_2mpp("../data/2M++_galaxy_catalog.dat", cosmo)
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