本文整理匯總了Python中WLanalysis.buildInterpolator2D方法的典型用法代碼示例。如果您正苦於以下問題：Python WLanalysis.buildInterpolator2D方法的具體用法？Python WLanalysis.buildInterpolator2D怎麽用？Python WLanalysis.buildInterpolator2D使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類WLanalysis的用法示例。
在下文中一共展示了WLanalysis.buildInterpolator2D方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: create_prob_plane
# 需要導入模塊: import WLanalysis [as 別名]
# 或者: from WLanalysis import buildInterpolator2D [as 別名]
def create_prob_plane(psPDFpk='pk', sigmaG_idx=0):
if psPDFpk =='ps':
idx2000=where(ell_gadget<10000)[0]
obs_arr = load(CMBNG_dir+'mat/mat_ps_avg.npy')[:,idx2000]
fidu_mat = load(CMBNG_dir+'mat/mat_ps_fidu.npy')[:,idx2000]
else:
obs_arr = load(CMBNG_dir+'mat/mat_%s_sigmaG%i_avg.npy'%(psPDFpk, sigmaG_idx))
fidu_mat = load(CMBNG_dir+'mat/mat_%s_sigmaG%i_fidu.npy'%(psPDFpk, sigmaG_idx))
idx = where(~isnan(mean(fidu_mat,axis=0))&(mean(fidu_mat,axis=0)!=0))[0]
fidu_mat=fidu_mat[:,idx]
interp_cosmo=WLanalysis.buildInterpolator2D(obs_arr[:,idx], cosmo_params)
#cov_mat =
cov_mat = cov(fidu_mat,rowvar=0)/(2e4/12.5)
cov_inv = mat(cov_mat).I
def chisq_fcn(param1, param2):
model = interp_cosmo((param1,param2))
del_N = np.mat(model - mean(fidu_mat,axis=0))
chisq = float(del_N*cov_inv*del_N.T)
return chisq
prob_plane = WLanalysis.prob_plane(chisq_fcn, om_arr, si8_arr)
return prob_plane[1]示例2: plane_gen
# 需要導入模塊: import WLanalysis [as 別名]
# 或者: from WLanalysis import buildInterpolator2D [as 別名]
def plane_gen (fidu_mat, ips_avg, obs_arr, cosmo_params, om_arr, si8_arr, method='clough'):
interp_cosmo = WLanalysis.buildInterpolator2D(ips_avg, cosmo_params, method=method)
cov_mat = cov(fidu_mat,rowvar=0)/(fsky_deg/12.5)# (2e4/12.5)#area factor for AdvACT
cov_inv = mat(cov_mat).I
def chisq_fcn(param1, param2):
model = interp_cosmo((param1,param2))
del_N = np.mat(model - obs_arr)
chisq = float(del_N*cov_inv*del_N.T)
return chisq
prob_plane = WLanalysis.prob_plane(chisq_fcn, om_arr, si8_arr)[1]
return prob_plane示例3: concatenate
# 需要導入模塊: import WLanalysis [as 別名]
# 或者: from WLanalysis import buildInterpolator2D [as 別名]
#imshow(prob_plane,origin='lower',interpolation='nearest',extent=[si80,si81,om0,om1])#;show()
#title('%sProb_fsky%i_%s_%s_%s_sigmaG%02d'%(['','filtered_'][filtered], fsky_deg, noise,istat, imethod, sigmaG_arr[ismooth]*10),fontsize=10)
#savefig(CMBlensing_dir+'plot/optimize_%sProb_fsky%i_%s_%s_%s_sigmaG%02d.png'%(['','filtered_'][filtered], fsky_deg, noise,istat, imethod, sigmaG_arr[ismooth]*10))
#close()
if compute_interp:
ismooth=3
om_fidu, si8_fidu=all_points[18]
ips = concatenate([ps_noiseless46, PDF_noiseless46[:,ismooth,:],
peaks_noiseless46[:,ismooth,:]],axis=1)
ips_fidu = concatenate([ps_fidu_noiseless, PDF_fidu_noiseless[:,ismooth,:], peaks_fidu_noiseless[:,ismooth,:]],axis=1)
obs_arr=ips[1]
interp_cosmo = WLanalysis.buildInterpolator2D(delete(ips,16,axis=0), delete(all_points46,16,axis=0), method='clough')
save(CMBlensing_dir+'interp.npy',[mean(ips_fidu,axis=0),std(ips_fidu,axis=0),interp_cosmo(all_points46[16])])
if make_noisy_maps:
#for cosmo in cosmo_noisy_arr:
#print cosmo
#[save(CMBlensing_dir+'colin_noisy/maps4andrea/reconMaps_%s/recon_%s%s_r%04d.npy'%(cosmo,['','filtered_'][filtered],cosmo, r),FT2real(cosmo, r, Gaus=0)) for r in range(1000)]
def FT2real_fidu(r, Gaus=0):
if Gaus:
a = FTmapGen_Gaus(r)
else:
a = FTmapGen_fidu(r)
if filtered:
#print 'filtered'