|
2 | 2 | Read the Planck beam files and save the beam as tables in .dat files. |
3 | 3 | both the intensity, the polarisation and the leakage beam files |
4 | 4 | """ |
| 5 | + |
| 6 | +import sys |
| 7 | + |
5 | 8 | import numpy as np |
6 | 9 | import pylab as plt |
7 | 10 | from astropy.io import fits |
8 | | -from pspy import pspy_utils |
| 11 | +from pspy import pspy_utils, so_dict |
9 | 12 |
|
10 | | -freqs = [100, 143, 217] |
11 | | -lmax_for_plot = 2000 |
12 | | -beam_path = "/global/cfs/cdirs/act/data/tlouis/dr6v4/beams/planck_beams/" |
13 | | -releases = ["npipe", "legacy", "npipe_DR6"] |
14 | 13 |
|
| 14 | +d = so_dict.so_dict() |
| 15 | +d.read_from_file(sys.argv[1]) |
| 16 | +log = log.get_logger(**d) |
| 17 | + |
| 18 | +planck_fits_beam_path = d["planck_fits_beam_path"] |
| 19 | + |
| 20 | +freqs = [100, 143, 217, 353] |
| 21 | +lmax = 3030 |
| 22 | +lmax_for_plot = 2000 |
| 23 | +releases = ["legacy", "npipe_DR6_AxB"] |
15 | 24 |
|
16 | 25 | for release in releases: |
17 | 26 | beam_dir = f"beams/{release}" |
18 | 27 | pspy_utils.create_directory(beam_dir) |
| 28 | + |
19 | 29 | for freq in freqs: |
20 | 30 |
|
21 | | - if release == "npipe": |
22 | | - split_pairs = [("A", "A"), ("A", "B"), ("B", "B")] |
23 | | - file_root = f"{beam_path}/quickpol/Wl_npipe6v20" |
24 | | - |
25 | | - if release == "npipe_DR6": |
26 | | - split_pairs = [("A", "A"), ("A", "B"), ("B", "B")] |
27 | | - file_root = f"{beam_path}/QP_dr6_pa6_f150/Wl_npipe6v20" |
| 31 | + if release == "npipe_DR6_AxB": |
| 32 | + s1, s2 = "A", "B" |
| 33 | + Wl = fits.open(f"{planck_fits_beam_path}/QP_dr6_pa6_f150/Wl_npipe6v20_{freq}{s1}x{freq}{s2}.fits") |
28 | 34 |
|
29 | 35 | if release == "legacy": |
30 | | - split_pairs = [("hm1", "hm1"), ("hm1", "hm2"), ("hm2", "hm2")] |
31 | | - file_root = f"{beam_path}/BeamWf_HFI_R3.01/Wl_R3.01_plikmask" |
| 36 | + s1, s2 = "hm1", "hm2" |
| 37 | + if freq != 353: |
| 38 | + Wl = fits.open(f"{planck_fits_beam_path}/BeamWf_HFI_R3.01/Wl_R3.01_plikmask_{freq}{s1}x{freq}{s2}.fits") |
| 39 | + else: |
| 40 | + print(f"use full sky beam for {freq} GHz") |
| 41 | + Wl = fits.open(f"{planck_fits_beam_path}/BeamWf_HFI_R3.01/Wl_R3.01_fullsky_{freq}{s1}x{freq}{s2}.fits") |
| 42 | + |
| 43 | + l = np.arange(lmax) |
| 44 | + |
| 45 | + Wl_TT_2_TT = Wl[1].data["TT_2_TT"][0, :lmax] |
| 46 | + Wl_EE_2_EE = Wl[2].data["EE_2_EE"][0, :lmax] |
| 47 | + |
| 48 | + # extract beam and polarised beam |
| 49 | + bl_T = np.sqrt(Wl_TT_2_TT) |
| 50 | + bl_pol = np.sqrt(Wl_EE_2_EE) |
| 51 | + |
| 52 | + plt.figure(figsize=(12,8)) |
| 53 | + plt.subplot(2, 1, 1) |
| 54 | + plt.plot(l[:lmax_for_plot], bl_T[:lmax_for_plot], label="temperature beam", color="lightblue") |
| 55 | + plt.errorbar(l[:lmax_for_plot], bl_pol[:lmax_for_plot], fmt="+", markevery=50, label="pol beam", color="red") |
| 56 | + plt.ylabel(r"$ B_{\ell}$", fontsize=14) |
| 57 | + plt.legend() |
| 58 | + plt.subplot(2, 1, 2) |
| 59 | + plt.plot(l[:lmax_for_plot], (bl_T[:lmax_for_plot] / bl_pol[:lmax_for_plot]) ** 2) |
| 60 | + plt.ylabel(r"$ (B^{\rm T}_{\ell}/B^{\rm pol}_{\ell})^{2} $", fontsize=14) |
| 61 | + plt.xlabel(r"$\ell$", fontsize=14) |
| 62 | + plt.savefig(f"{beam_dir}/beam_{freq}.png") |
| 63 | + plt.clf() |
| 64 | + plt.close() |
| 65 | + |
| 66 | + np.savetxt(f"{beam_dir}/bl_T_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, bl_T])) |
| 67 | + np.savetxt(f"{beam_dir}/bl_pol_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, bl_pol])) |
| 68 | + |
| 69 | + # extract leakage beam |
| 70 | + Wl_TE_2_TE = Wl[4].data["TE_2_TE"][0, :lmax] |
| 71 | + gamma_TE = Wl[1].data["TT_2_TE"][0, :lmax] / Wl_TE_2_TE |
| 72 | + gamma_ET = Wl[1].data["TT_2_ET"][0, :lmax] / Wl_TE_2_TE |
| 73 | + |
| 74 | + gamma_TB = Wl[1].data["TT_2_TB"][0, :lmax] / Wl_TE_2_TE |
| 75 | + gamma_BT = Wl[1].data["TT_2_BT"][0, :lmax] / Wl_TE_2_TE |
| 76 | + |
| 77 | + plt.figure(figsize=(12,8)) |
| 78 | + plt.title(f"{freq} GHz x {freq} GHz", fontsize=14) |
| 79 | + plt.errorbar(l[:lmax_for_plot], 100 * gamma_TE[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ E_{\rm %s}$" % (release, s1, s2), color="blue", fmt="-", markevery=50) |
| 80 | + plt.errorbar(l[:lmax_for_plot], 100 * gamma_ET[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ E_{\rm %s}$" % (release, s2, s1), color="navy", fmt="+", markevery=50) |
| 81 | + plt.errorbar(l[:lmax_for_plot], 100 * (gamma_TE[:lmax_for_plot] + gamma_ET[:lmax_for_plot]) / 2, label=r"%s $T \ x \ E$" % (release), color="black", fmt="--", markevery=50) |
| 82 | + |
| 83 | + plt.errorbar(l[:lmax_for_plot], 100 * gamma_TB[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ B_{\rm %s}$" % (release, s1, s2), color="red", fmt="-.", markevery=50) |
| 84 | + plt.errorbar(l[:lmax_for_plot], 100 * gamma_BT[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ B_{\rm %s}$" % (release, s2, s1), color="orange", fmt="*", markevery=50) |
| 85 | + plt.errorbar(l[:lmax_for_plot], 100 * (gamma_TB[:lmax_for_plot] + gamma_BT[:lmax_for_plot]) / 2, label=r"%s $T \ x \ B$" % (release), color="gray", fmt="--", markevery=50) |
| 86 | + |
| 87 | + plt.ylim(-0.8, 0.8) |
| 88 | + plt.ylabel(r"$ \gamma_{\ell}$", fontsize=14) |
| 89 | + plt.legend() |
| 90 | + plt.xlabel(r"$\ell$", fontsize=14) |
| 91 | + plt.savefig(f"{beam_dir}/beam_leakage_{freq}.png") |
| 92 | + plt.clf() |
| 93 | + plt.close() |
| 94 | + |
| 95 | + zeros = np.zeros(len(l)) |
32 | 96 |
|
33 | | - bl_dict = {} |
34 | | - for s1, s2 in split_pairs: |
| 97 | + np.savetxt(f"{beam_dir}/gamma_{release}_{freq}{s2}_t2e.dat", np.transpose([l, gamma_TE, zeros, zeros, zeros])) |
| 98 | + np.savetxt(f"{beam_dir}/gamma_{release}_{freq}{s1}_t2e.dat", np.transpose([l, gamma_ET, zeros, zeros, zeros])) |
35 | 99 |
|
36 | | - Wl = fits.open(f"{file_root}_{freq}{s1}x{freq}{s2}.fits") |
37 | | - Wl_TT_2_TT = Wl[1].data["TT_2_TT"][0, :] |
38 | | - Wl_EE_2_EE = Wl[2].data["EE_2_EE"][0, :] |
39 | | - |
40 | | - l = np.arange(len(Wl_TT_2_TT)) |
| 100 | + np.savetxt(f"{beam_dir}/gamma_{release}_{freq}{s2}_t2b.dat", np.transpose([l, gamma_TB, zeros, zeros, zeros])) |
| 101 | + np.savetxt(f"{beam_dir}/gamma_{release}_{freq}{s1}_t2b.dat", np.transpose([l, gamma_BT, zeros, zeros, zeros])) |
41 | 102 |
|
42 | | - # extract beam and polarised beam |
43 | | - bl_T = np.sqrt(Wl_TT_2_TT) |
44 | | - bl_pol = np.sqrt(Wl_EE_2_EE) |
45 | | - |
46 | | - if s1 != s2: |
47 | | - plt.figure(figsize=(12,8)) |
48 | | - plt.subplot(2, 1, 1) |
49 | | - plt.plot(l[:lmax_for_plot], bl_T[:lmax_for_plot], label="temperature beam", color="lightblue") |
50 | | - plt.errorbar(l[:lmax_for_plot], bl_pol[:lmax_for_plot], fmt="+", markevery=50, label="pol beam", color="red") |
51 | | - plt.ylabel(r"$ B_{\ell}$", fontsize=14) |
52 | | - plt.legend() |
53 | | - plt.subplot(2, 1, 2) |
54 | | - plt.plot(l[:lmax_for_plot], (bl_T[:lmax_for_plot] / bl_pol[:lmax_for_plot]) ** 2) |
55 | | - plt.ylabel(r"$ (B^{\rm T}_{\ell}/B^{\rm pol}_{\ell})^{2} $", fontsize=14) |
56 | | - plt.xlabel(r"$\ell$", fontsize=14) |
57 | | - plt.savefig(f"{beam_dir}/beam_{freq}.png") |
58 | | - plt.clf() |
59 | | - plt.close() |
60 | | - |
61 | | - bl_dict[s1, s2, "T"] = bl_T |
62 | | - bl_dict[s1, s2, "pol"] = bl_pol |
63 | | - np.savetxt(f"{beam_dir}/bl_T_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, bl_T])) |
64 | | - np.savetxt(f"{beam_dir}/bl_pol_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, bl_pol])) |
65 | | - |
66 | | - # extract leakage beam |
67 | | - Wl_TE_2_TE = Wl[4].data["TE_2_TE"][0] |
68 | | - gamma_TE = Wl[1].data["TT_2_TE"][0] / Wl_TE_2_TE |
69 | | - gamma_ET = Wl[1].data["TT_2_ET"][0] / Wl_TE_2_TE |
70 | | - |
71 | | - gamma_TB = Wl[1].data["TT_2_TB"][0] / Wl_TE_2_TE |
72 | | - gamma_BT = Wl[1].data["TT_2_BT"][0] / Wl_TE_2_TE |
73 | | - |
74 | | - if s1 != s2: |
75 | | - plt.figure(figsize=(12,8)) |
76 | | - plt.title(f"{freq} GHz x {freq} GHz", fontsize=14) |
77 | | - plt.errorbar(l[:lmax_for_plot], 100 * gamma_TE[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ E_{\rm %s}$" % (release, s1, s2), color="blue", fmt="-", markevery=50) |
78 | | - plt.errorbar(l[:lmax_for_plot], 100 * gamma_ET[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ E_{\rm %s}$" % (release, s2, s1), color="navy", fmt="+", markevery=50) |
79 | | - plt.errorbar(l[:lmax_for_plot], 100 * (gamma_TE[:lmax_for_plot] + gamma_ET[:lmax_for_plot]) / 2, label=r"%s $T \ x \ E$" % (release), color="black", fmt="--", markevery=50) |
80 | | - |
81 | | - plt.errorbar(l[:lmax_for_plot], 100 * gamma_TB[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ B_{\rm %s}$" % (release, s1, s2), color="red", fmt="-.", markevery=50) |
82 | | - plt.errorbar(l[:lmax_for_plot], 100 * gamma_BT[:lmax_for_plot], label=r"%s $T_{\rm %s} \ x \ B_{\rm %s}$" % (release, s2, s1), color="orange", fmt="*", markevery=50) |
83 | | - plt.errorbar(l[:lmax_for_plot], 100 * (gamma_TB[:lmax_for_plot] + gamma_BT[:lmax_for_plot]) / 2, label=r"%s $T \ x \ B$" % (release), color="gray", fmt="--", markevery=50) |
84 | | - |
85 | | - plt.ylim(-0.8, 0.8) |
86 | | - plt.ylabel(r"$ \gamma_{\ell}$", fontsize=14) |
87 | | - plt.legend() |
88 | | - plt.xlabel(r"$\ell$", fontsize=14) |
89 | | - plt.savefig(f"{beam_dir}/beam_leakage_{freq}.png") |
90 | | - plt.clf() |
91 | | - plt.close() |
92 | | - |
93 | | - |
94 | | - zeros = np.zeros(len(l)) |
95 | | - |
96 | | - np.savetxt(f"{beam_dir}/gamma_TP_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, gamma_TE, gamma_TB, zeros, zeros])) |
97 | | - np.savetxt(f"{beam_dir}/gamma_PT_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, gamma_ET, gamma_BT, zeros, zeros])) |
98 | | - |
99 | | - gamma_mean_TE = (gamma_TE + gamma_ET) / 2 |
100 | | - gamma_mean_TB = (gamma_TB + gamma_BT) / 2 |
| 103 | + gamma_mean_TE = (gamma_TE + gamma_ET) / 2 |
| 104 | + gamma_mean_TB = (gamma_TB + gamma_BT) / 2 |
101 | 105 |
|
102 | | - np.savetxt(f"{beam_dir}/gamma_mean_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, gamma_mean_TE, gamma_mean_TB, zeros, zeros])) |
| 106 | + np.savetxt(f"{beam_dir}/gamma_mean_{release}_{freq}{s1}{s2}_t2e.dat", np.transpose([l, gamma_mean_TE, zeros, zeros, zeros])) |
| 107 | + np.savetxt(f"{beam_dir}/gamma_mean_{release}_{freq}{s1}{s2}_t2b.dat", np.transpose([l, gamma_mean_TB, zeros, zeros, zeros])) |
103 | 108 |
|
104 | 109 |
|
105 | | - np.savetxt(f"{beam_dir}/error_modes_gamma_TP_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, zeros, zeros, zeros, zeros, zeros, zeros])) |
106 | | - np.savetxt(f"{beam_dir}/error_modes_gamma_PT_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, zeros, zeros, zeros, zeros, zeros, zeros])) |
107 | | - |
108 | | - np.savetxt(f"{beam_dir}/error_modes_gamma_mean_{release}_{freq}{s1}x{freq}{s2}.dat", np.transpose([l, zeros, zeros, zeros, zeros, zeros, zeros])) |
109 | 110 |
|
110 | | - if "npipe" in release: |
111 | | - bl_T_coadd = (bl_dict["A", "A", "T"] + bl_dict["B", "B", "T"]) / 2. |
112 | | - bl_pol_coadd = (bl_dict["A", "A", "pol"] + bl_dict["B", "B", "pol"]) / 2. |
113 | | - |
114 | | - elif release == "legacy": |
115 | | - bl_T_coadd = (bl_dict["hm1", "hm1", "T"] + bl_dict["hm2", "hm2", "T"]) / 2. |
116 | | - bl_pol_coadd = (bl_dict["hm1", "hm1", "pol"] + bl_dict["hm2", "hm2", "pol"]) / 2. |
117 | 111 |
|
118 | | - np.savetxt(f"{beam_dir}/bl_T_{release}_{freq}_coadd.dat", np.transpose([l, bl_T_coadd])) |
119 | | - np.savetxt(f"{beam_dir}/bl_pol_{release}_{freq}_coadd.dat", np.transpose([l, bl_pol_coadd])) |
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