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use R_200mean instead of Rvir in comparisons

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This commit is contained in:
Lukas Winkler 2022-12-30 12:11:04 +01:00
parent e67c011a18
commit 5c923c9ced
Signed by: lukas
GPG key ID: 54DE4D798D244853
1 changed files with 7 additions and 7 deletions
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14
compare_halos.py
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@ -157,16 +157,16 @@ def compare_halo_resolutions(
)
# print(list(halo_distances))
print(f"find nearby halos (50x{ref_halo.Rvir:.1f})")
print(f"find nearby halos (50x{ref_halo.R_200mean:.1f})")
print(ref_halo[["X", "Y", "Z"]].values)
# Find IDs of halos that are less than 50 Rvir away
# Find IDs of halos that are less than 50 R_200mean away
nearby_halos = set(
df_comp_halo.loc[halo_distances < ref_halo.Rvir * 50].index.to_list()
df_comp_halo.loc[halo_distances < ref_halo.R_200mean * 50].index.to_list()
)
if len(nearby_halos) < 10:
print(f"only {len(nearby_halos)} halos, expanding to 150xRvir")
print(f"only {len(nearby_halos)} halos, expanding to 150xR_200mean")
nearby_halos = set(
df_comp_halo.loc[halo_distances < ref_halo.Rvir * 150].index.to_list()
df_comp_halo.loc[halo_distances < ref_halo.R_200mean * 150].index.to_list()
)
counters.checking_150 += 1
@ -290,7 +290,7 @@ def compare_halo_resolutions(
apply_offset(comp_halo.X, offset_x),
apply_offset(comp_halo.Y, offset_y),
),
comp_halo["Rvir"],
comp_halo["R_200mean"],
zorder=10,
linewidth=1,
edgecolor=color,
@ -325,7 +325,7 @@ def compare_halo_resolutions(
np.array([ref_halo.X, ref_halo.Y, ref_halo.Z])
- np.array([comp_halo.X, comp_halo.Y, comp_halo.Z])
)
/ ref_halo.Rvir
/ ref_halo.R_200mean
)
halo_data["distance"] = distance
halo_data["match"] = best_halo_match