-
Notifications
You must be signed in to change notification settings - Fork 14
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
example: script for checking interference
- Loading branch information
Showing
1 changed file
with
92 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,92 @@ | ||
""" | ||
Check the interferance of partial waves. | ||
If more than one group exists, we need fixed extra phase in fit. | ||
For example in the following formula | ||
|a+b|^2 + |a-b|^2 = 2(|a|^2 + |b|^2) | ||
the phase of a and b arbitrary. | ||
""" | ||
|
||
|
||
import numpy as np | ||
import tensorflow as tf | ||
|
||
from tf_pwa.config_loader import ConfigLoader | ||
from tf_pwa.experimental import build_amp | ||
|
||
config = ConfigLoader("config.yml") | ||
phsp = config.get_data("data")[0] # config.generate_phsp(100000) | ||
|
||
config.set_params("final_params.json") | ||
decay_list, amp_m = build_amp.build_angle_amp_matrix(config.get_decay(), phsp) | ||
|
||
print("include decay chains") | ||
for i in decay_list: | ||
print(i) | ||
for j in i: | ||
print(" ", j, "ls list: ", j.get_ls_list()) | ||
|
||
print("number of partial waves for each decay chains") | ||
print([len(i) for i in amp_m]) | ||
|
||
a = [] | ||
for k in amp_m: | ||
for v in k: | ||
a.append(v) | ||
|
||
inter_f = np.zeros((len(a), len(a))) | ||
inter_f_have = [] | ||
epsilon = 1e-7 | ||
sum_axis = list(range(1, len(a[0].shape))) | ||
print(sum_axis) | ||
for i in range(len(a)): | ||
for j in range(i, len(a)): | ||
c = tf.reduce_sum( | ||
tf.math.real(a[i] * tf.math.conj(a[j])), axis=sum_axis | ||
) | ||
d = tf.reduce_sum( | ||
tf.math.imag(a[i] * tf.math.conj(a[j])), axis=sum_axis | ||
) | ||
inter_f[i, j] = tf.reduce_mean(c) | ||
inter_f[j, i] = tf.reduce_mean(c) | ||
if ( | ||
i != j | ||
and float(tf.reduce_max(tf.abs(c))) > epsilon | ||
or float(tf.reduce_max(tf.abs(d))) > epsilon | ||
): | ||
inter_f_have.append((i, j)) | ||
print( | ||
i, | ||
j, | ||
float(tf.reduce_max(tf.abs(c))), | ||
float(tf.reduce_max(tf.abs(d))), | ||
) | ||
|
||
print("pairs which have interferance") | ||
print(inter_f_have) | ||
|
||
group = [] | ||
sub_group = set([inter_f_have[0][0], inter_f_have[0][1]]) | ||
inter_f_have = inter_f_have[1:] | ||
while len(inter_f_have) > 0: | ||
used_intef_f_have = [] | ||
for k, v in inter_f_have: | ||
if k in sub_group: | ||
sub_group.add(v) | ||
used_intef_f_have.append((k, v)) | ||
elif v in sub_group: | ||
sub_group.add(k) | ||
used_intef_f_have.append((k, v)) | ||
if len(used_intef_f_have) == 0: | ||
group.append(sub_group) | ||
sub_group = set([inter_f_have[0][0], inter_f_have[0][1]]) | ||
inter_f_have = inter_f_have[1:] | ||
else: | ||
inter_f_have = [i for i in inter_f_have if i not in used_intef_f_have] | ||
if len(inter_f_have) == 0: | ||
group.append(sub_group) | ||
|
||
print("number of group: ", len(group)) | ||
for i, g in enumerate(group): | ||
print("group", i, ":", g) |