minval/maxval for plotting. Only generate velocities if it is required
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@ -14,7 +14,7 @@ parser.add_argument('--start', type=int, required=True)
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parser.add_argument('--end', type=int, required=True)
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parser.add_argument('--step', type=int, required=True)
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parser.add_argument('--minval', type=float, default=0)
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parser.add_argument('--maxval', type=float, default=60)
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parser.add_argument('--maxval', type=float, default=4)
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parser.add_argument('--depth_min', type=float, default=10)
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parser.add_argument('--depth_max', type=float, default=60)
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parser.add_argument('--iid', type=int, default=0)
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@ -65,6 +65,7 @@ for i in xrange(args.start,args.end,args.step):
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hp.write_map("skymaps/proj_map_%d.fits" % i, proj)
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print proj.min(), proj.max()
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hp.mollview(proj, fig=1, coord='CG', cmap=plt.cm.copper, title='Sample %d' % i, min=args.minval, max=args.maxval)
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if args.proj_cat:
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hp.projscatter(b[idx], l[idx], lw=0, color=[0.1,0.8,0.8], s=2.0, alpha=0.7)
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@ -33,7 +33,7 @@ for i in xrange(args.start, args.end, args.step):
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print i
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# pos,_,density,N,L,_ = bic.run_generation("/nethome/lavaux/remote/borg_2m++_128/initial_density_%d.dat" % i, 0.001, astart, cosmo, supersample=2, do_lpt2=True)
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pos,_,density,N,L,_,_ = bic.run_generation("%s/initial_density_%d.dat" % (args.base,i), 0.001, astart,
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cosmo, supersample=args.supersample, do_lpt2=True)
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cosmo, supersample=args.supersample, do_lpt2=True, needvel=False)
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dcic = ct.cicParticles(pos, L, args.N)
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dcic /= np.average(np.average(np.average(dcic, axis=0), axis=0), axis=0)
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@ -53,7 +53,7 @@ def compute_ref_power(L, N, cosmo, bins=10, range=(0,1), func='HU_WIGGLES'):
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return bin_power(p.compute(k)*cosmo['h']**3, L, bins=bins, range=range)
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def run_generation(input_borg, a_borg, a_ic, cosmo, supersample=1, do_lpt2=True, shiftPixel=False):
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def run_generation(input_borg, a_borg, a_ic, cosmo, supersample=1, do_lpt2=True, shiftPixel=False, needvel=True):
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""" Generate particles and velocities from a BORG snapshot. Returns a tuple of
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(positions,velocities,N,BoxSize,scale_factor)."""
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@ -90,6 +90,7 @@ def run_generation(input_borg, a_borg, a_ic, cosmo, supersample=1, do_lpt2=True,
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# Generate posx
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posx.append(((posq[j] + psi)%L).astype(np.float32))
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# Generate vel
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if needvel:
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vel.append((psi*velmul).astype(np.float32))
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print("velmul=%lg" % (cosmo['h']*velmul))
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