Пример #1
0
            optfolder = recfolder + '/fastpm_%0.4f/wedge_kmin0.03_%s/L1024-N0256-R/thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
                aa, wed, th)
            if nc == 256:
                dd = BigFileMesh(optfolder + 'datap/', 'mapp').paint()
                dn = BigFileMesh(optfolder + 'datan/', 'mapp').paint()
            else:
                dd = BigFileMesh(optfolder + 'datap_up/', 'mapp').paint()
                dn = BigFileMesh(optfolder + 'datan_up/', 'mapp').paint()
            dn -= dd
            if kk is None: kk = dd.r2c().x
            pd2 = FFTPower(dd, mode='2d', Nmu=Nmu).power
            k2, modes2, pd2 = pd2['k'], pd2['modes'], pd2['power']
            pn2 = FFTPower(dn, mode='2d', Nmu=Nmu).power['power']

            #Lost due to wedge
            wedang = mapnoise.wedge(1 / aa - 1, att=wed, angle=True)
            wedmu = mapnoise.wedge(1 / aa - 1, att=wed, angle=False)
            mask = getmask(kk, wedang, kmin=0.03)
            lostw = 1 - mask.sum() / mask.size

            #lost due to noise:
            noisedom = 0
            k0 = 10

            for ii in range(Nmu - 1):
                if mus[ii] < wedmu: pass
                else:
                    noisedom += modes2[k0:][pn2[k0:, ii] > 2 * pd2[k0:, ii],
                                            ii].sum()
            lostn = noisedom / modes2.sum()
Пример #2
0
    cfg = yaml.load(ymlfile)
for i in cfg['basep'].keys():
    locals()[i] = cfg['basep'][i]
zz = 1 / aa - 1

if upsample: ncd = nc * 2
else: ncd = nc

truth_pm = ParticleMesh(BoxSize=bs, Nmesh=(ncd, ncd, ncd), dtype='f8')
comm = truth_pm.comm
rank = comm.rank
kmin, angle = cfg['mods']['kmin'], cfg['mods']['angle']
h1model = HImodels.ModelA(aa)
if angle is None:
    angle = numpy.round(
        mapnoise.wedge(zz, att=cfg['mods']['wopt'], angle=True), 0)
if rank == 0:
    print(angle)
try:
    spread
except:
    spread = 1.

if numd <= 0: num = -1
else: num = int(bs**3 * numd)
if rank == 0: print('Number of objects : ', num)

objfunc = getattr(objectives, cfg['mods']['objective'])
map = getattr(lab, cfg['mods']['map'])

#
Пример #3
0
#cosmo = Planck15.clone(Omega_cdm = 0.2685, h = 0.6711, Omega_b = 0.049)
cosmodef = {'omegam':0.309167, 'h':0.677, 'omegab':0.048}
cosmo = Cosmology.from_dict(cosmodef)

#########################################

#Set parameters here
##
cfname = sys.argv[1]
with open(cfname, 'r') as ymlfile: cfg = yaml.load(ymlfile)
for i in cfg['basep'].keys(): locals()[i] = cfg['basep'][i]
kmin, angle = cfg['mods']['kmin'], cfg['mods']['angle']
h1model = HImodels.ModelA(aa)
zz = 1/aa-1
if angle is None:
    angle = numpy.round(mapnoise.wedge(zz, att=cfg['mods']['wopt'], angle=True), 0)
if rank == 0: 
    print(angle)
try: spread
except : spread = 1.

truth_pm = ParticleMesh(BoxSize=bs, Nmesh=(nc, nc, nc), dtype='f8')
comm = truth_pm.comm
rank = comm.rank

if numd <= 0: num = -1
else: num = int(bs**3 * numd)
if rank == 0: print('Number of objects : ', num)

objfunc = getattr(objectives, cfg['mods']['objective'])
map = getattr(lab, cfg['mods']['map'])