ericteunis/m-thesis-introduction
1
0
Fork 0
mirror of https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git synced 2024-12-22 11:33:32 +01:00
Code Issues Projects Releases Packages Wiki Activity

ZH: hardcoded some clock offsets

Browse source
This commit is contained in:
Eric Teunis de Boone 2022-12-15 15:08:55 +01:00
parent 3cbdadc5ba
commit 7cfccd0011
1 changed files with 21 additions and 6 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

21
simulations/airshower_beacon_simulation/ab_modify_clocks.py
View file

@ -41,8 +41,6 @@ if __name__ == "__main__":
print("Antenna file cannot be found, did you try generating a beacon?") print("Antenna file cannot be found, did you try generating a beacon?")
sys.exit(1) sys.exit(1)
print(f"Modifying clocks upto {max_clock_offset}ns.")
# read in antennas # read in antennas
with h5py.File(antennas_fname, 'a') as fp: with h5py.File(antennas_fname, 'a') as fp:
if 'antennas' not in fp.keys(): if 'antennas' not in fp.keys():
@ -53,10 +51,27 @@ if __name__ == "__main__":
N_antennas = len(group.keys()) N_antennas = len(group.keys())
if True: # uniform if not True:
print(f"Modifying clocks upto {max_clock_offset}ns.")
clock_offsets = np.zeros( N_antennas )
if not True: # uniform
print("Uniform distribution")
clock_offsets = max_clock_offset * (2*rng.uniform(size=N_antennas) - 1) clock_offsets = max_clock_offset * (2*rng.uniform(size=N_antennas) - 1)
else: # normal else: # normal
print("Gaussian distribution")
clock_offsets = max_clock_offset * rng.normal(0, 1, size=N_antennas) clock_offsets = max_clock_offset * rng.normal(0, 1, size=N_antennas)
else: # Hardcoded offsets
print("Hardcoded offsets")
f_beacon = 51.53e-3 # GHz
clock_offsets = np.zeros( N_antennas )
if False:
clock_offsets[59] = np.pi/2 / (2*np.pi*f_beacon)
elif True:
clock_offsets += 1/8 * 1/f_beacon
print(clock_offsets)
# modify time values of each antenna # modify time values of each antenna
for i, name in enumerate(group.keys()): for i, name in enumerate(group.keys()):