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CDF for nearest neighbour (#63)
* Updat ebounds * fix mistake * add plot script * fix which sims * Add Poisson * Just docs * Hide things to __main__ * Rename paths * Move old script * Remove radpos * Paths renaming * Paths renaming * Remove trunk stuff * Add import * Add nearest neighbour search * Add Quijote fiducial indices * Add final snapshot matching * Add fiducial observer selection * add boxsizes * Add reading functions * Little stuff * Bring back the fiducial observer * Add arguments * Add quijote paths * Add notes * Get this running * Add yaml * Remove Poisson stuff * Get the 2PCF script running * Add not finished htings * Remove comment * Verbosity only on 0th rank! * Update plotting style * Add nearest neighbour CDF * Save radial distance too * Add centres * Add basic plotting
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369438f881
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34 changed files with 1254 additions and 351 deletions
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@ -48,7 +48,7 @@ paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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partreader = csiborgtools.read.ParticleReader(paths)
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if args.ics is None or args.ics[0] == -1:
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ics = paths.get_ics()
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ics = paths.get_ics("csiborg")
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else:
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ics = args.ics
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@ -66,9 +66,9 @@ for nsim in [ics[i] for i in jobs]:
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print(f"{datetime.now()}: rank {rank} calculating simulation `{nsim}`.",
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flush=True)
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parts = csiborgtools.read.read_h5(paths.initmatch_path(nsim, "particles"))
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parts = csiborgtools.read.read_h5(paths.initmatch(nsim, "particles"))
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parts = parts['particles']
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clump_map = csiborgtools.read.read_h5(paths.particles_path(nsim))
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clump_map = csiborgtools.read.read_h5(paths.particles(nsim))
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clump_map = clump_map["clumpmap"]
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clumps_cat = csiborgtools.read.ClumpsCatalogue(nsim, paths, rawdata=True,
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load_fitted=False)
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@ -96,7 +96,7 @@ for nsim in [ics[i] for i in jobs]:
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out = out[ismain]
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# Now save it
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fout = paths.initmatch_path(nsim, "fit")
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fout = paths.initmatch(nsim, "fit")
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print(f"{datetime.now()}: dumping fits to .. `{fout}`.",
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flush=True)
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with open(fout, "wb") as f:
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