elip = lib_p.ellipticalGaussian() elip.resol_rad = res elip.map_width_rad = map_width_rad elip.par = par_in # elip.beam_sigma = sigma_x # X, Y, MAP_S = elip.gen_flatellip_map() X, Y, MAP_S = elip.gen_flatairy_map(nu_obs,Dapt_mm/2.*1e-3) MAP_S = MAP_S*Amp num = len(MAP_S[0]) MAP_N = noise*np.random.normal(0.,1.,[num,num]) MAP_SN = MAP_S+MAP_N num_bin = 100 Bkk_S, kx, ky = lib_p.fft_2d(res,res,MAP_S) Bk_S_kr, Bk_S_mean, Bk_S_std, Bk_S_med = lib_p.cal_Bk(num_bin,kx,ky,Bkk_S) Bkk_N, kx, ky = lib_p.fft_2d(res,res,MAP_N) Bk_N_kr, Bk_N_mean, Bk_N_std, Bk_N_med = lib_p.cal_Bk(num_bin,kx,ky,Bkk_N) Bkk_SN, kx, ky = lib_p.fft_2d(res,res,MAP_SN) Bk_SN_kr, Bk_SN_mean, Bk_SN_std, Bk_SN_med = lib_p.cal_Bk(num_bin,kx,ky,Bkk_SN) py.figure(0, figsize=(18,10)) py.subplot(231) X = X*radeg Y = Y*radeg Z = MAP_S
def run_mainloadSN(Telescope,
FreqWafer,
diameter_mm,
src_planet,
option_noise=''):
#Telescope = 'LFT'
#FreqWafer = 'p60'
Fnum, BeamWaistFact, radius = lbv24.Telescope_info(Telescope)
#radius = 400.e-3/2.
radius = diameter_mm * 1e-3 / 2.
Dapt_mm = radius * 2. * 1e3
if Telescope == 'LFT':
nu_obsGHz = lbv24.nuobsGHz_FreqWafer_LFT(FreqWafer)
Dpixmm = lbv24.Dpixmm_info_PhaseA1_LFTv24(FreqWafer)
beam_arcmin = lbv24.beamarcmin_info_PhaseA1_LFT(nu_obsGHz)
if Telescope == 'reflect_HFT_MF':
nu_obsGHz = lbv24.nuobsGHz_FreqWafer_HFT(FreqWafer)
Dpixmm = lbv24.Dpixmm_info_PhaseA1_HFTv24(FreqWafer)
beam_arcmin = lbv24.beamarcmin_info_PhaseA1_HFT(nu_obsGHz)
nu_obs = nu_obsGHz * 1.e9
edgetaper = lbv24.CalcSEdgeTaper_v24(nu_obs, Fnum, Dpixmm, BeamWaistFact)
#src_planet = 'Jupiter'
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
print ''
print '--beam properties--'
#x0_rad,y0_rad,sigma_x_rad,sigma_y_rad,phi,samplerate = lib_p.gen_InputParams_PhaseA1_LFT(nu_obs,Dapt_mm)
#x0_rad,y0_rad,sigma_x_rad,sigma_y_rad,phi,samplerate = lbv24.gen_cambus(nu_obsGHz)
x0_rad, y0_rad, sigma_x_rad, sigma_y_rad, phi, samplerate = lbv24.gen_cambus(
beam_arcmin)
#print sigma_x_rad, sigma_x_rad*0.1
res_rad = sigma_x_rad * 0.1 # res is in unit of rad
map_width_rad = sigma_x_rad * 10. # unit in rad
# x0, y0, sigma_x, sigma_y are in unit of rad
par_in = np.array([x0_rad, y0_rad, sigma_x_rad, sigma_y_rad, phi, 1.])
elip = lib_p.ellipticalGaussian()
elip.resol_rad = res_rad
elip.map_width_rad = map_width_rad
elip.par = par_in
if option == 'TruncGaussian':
X, Y, MAP_S = elip.gen_flatTruncGauss_map(nu_obs, edgetaper, radius)
tmp_theta, tmp_out = elip.gen_flatTruncGauss_2D(
nu_obs, edgetaper, radius)
beam_solid_str = 2. * pi * np.sum(
np.sin(tmp_theta) * tmp_out) * (tmp_theta[1] - tmp_theta[0])
print 'beam solid angle', beam_solid_str
#beam_solid_str = np.sum(MAP_S)
#beam_solid_str = lib_p.beam_solidangle_AirySymmetric(nu_obs,Dapt_mm*1e-3)
# x0, y0, sigma_x, sigma_y are in unit of rad
print 'input:', src_planet, nu_obs, beam_solid_str
Amp = lib_p.planet_info(src_planet, nu_obs, beam_solid_str)
MAP_S = MAP_S * Amp
print 'amp', Amp
print '--beam properties--'
print ''
#sys.exit()
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#noise = np.sqrt(0.5)*noise_info(sys.argv[2])/(res*radeg*60.)
#NET_per_det = noise_info_PhaseA1_LFT(sys.argv[2])
#NET_per_det = noise_info_PhaseA1_HFT(sys.argv[2])
if Telescope == 'LFT':
NET_arr, numDet = lbv24.noise_info_PhaseA1_LFT(nu_obsGHz)
if Telescope == 'reflect_HFT_MF':
NET_arr, numDet = lbv24.noise_info_PhaseA1_HFT(nu_obsGHz)
if option_noise == 'det': NET_per_det = NET_arr * np.sqrt(numDet)
if option_noise == 'band': NET_per_det = NET_arr
obs_eff = 0.85 * 0.85
time_interval_sec = 3. * obs_eff * 3600. * 24. * 365.
time2spent_in_one_pixel = res_rad**2 / (4. * pi) * time_interval_sec
noise = NET_per_det / np.sqrt(time2spent_in_one_pixel)
print ''
print '--noise properties--'
print 'NET_per_det', NET_per_det
print 'res_rad, res_rad**2, time2spent_in_one_pixel', res_rad, res_rad * radeg, res_rad**2, time2spent_in_one_pixel
print 'noise', noise
print '--noise properties--'
print ''
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#MAP_S = MAP_S*Amp
num = len(MAP_S[0])
MAP_N = noise * np.random.normal(0., 1., [num, num])
MAP_SN = MAP_S + MAP_N
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
num_bin = 100
Bkk_S, kx, ky = lib_p.fft_2d(res_rad, res_rad, MAP_S)
Bk_S_kr, Bk_S_mean, Bk_S_std, Bk_S_med = lib_p.cal_Bk(
num_bin, kx, ky, Bkk_S)
Bkk_N, kx, ky = lib_p.fft_2d(res_rad, res_rad, MAP_N)
Bk_N_kr, Bk_N_mean, Bk_N_std, Bk_N_med = lib_p.cal_Bk(
num_bin, kx, ky, Bkk_N)
Bkk_SN, kx, ky = lib_p.fft_2d(res_rad, res_rad, MAP_SN)
Bk_SN_kr, Bk_SN_mean, Bk_SN_std, Bk_SN_med = lib_p.cal_Bk(
num_bin, kx, ky, Bkk_SN)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
py.figure(0, figsize=(18, 10))
py.subplot(231)
X_deg = X * radeg
Y_deg = Y * radeg
Z = MAP_S
xmin, xmax, ymin, ymax = np.min(X_deg), np.max(X_deg), np.min(
Y_deg), np.max(Y_deg)
extent = xmin, xmax, ymin, ymax
im1 = py.imshow(Z, extent=extent)
py.colorbar()
py.xlabel('$\\theta_x$ [degs]')
py.ylabel('$\\theta_y$ [degs]')
py.title('Map space beam, ' + src_planet)
py.subplot(232)
Z = MAP_N
xmin, xmax, ymin, ymax = np.min(X_deg), np.max(X_deg), np.min(
Y_deg), np.max(Y_deg)
extent = xmin, xmax, ymin, ymax
im1 = py.imshow(Z, extent=extent)
py.colorbar()
py.xlabel('$\\theta_x$ [degs]')
py.ylabel('$\\theta_y$ [degs]')
py.title('Map space noise')
#
data = lib_p.meshgrid2array_Z(MAP_SN)
data_err = noise
def fit_elipbeam_2D((X_rad, Y_rad), x0_rad, y0_rad, sigma_x_rad,
sigma_y_rad, theta_rad, amplitude):
#par_init,x,y,data,noise_sigma,g):
elip = lib_p.ellipticalGaussian()
elip.resol_rad = res_rad
elip.map_width_rad = map_width_rad
elip.par = np.array(
[x0_rad, y0_rad, sigma_x_rad, sigma_y_rad, theta_rad, amplitude])
Z = amplitude * lib_p.ellipGauss(X_rad, Y_rad, x0_rad, y0_rad,
sigma_x_rad, sigma_y_rad, theta_rad)
z = lib_p.meshgrid2array_Z(Z)
return np.array(z)