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Update coincident event search using large shower events #143

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merged 13 commits into from
Jun 25, 2023
Merged

Update coincident event search using large shower events #143

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1261d01
add an option to compute all possible combinations of time offsets in…
SeiyaNozaki Apr 25, 2023
8fc6578
small bugfix, add comments, and run black
SeiyaNozaki May 12, 2023
4cd550e
make dataframe more meaningful for all_combination method
SeiyaNozaki May 19, 2023
2f2a630
apply MAGIC time window cut to find coincident events efficiently
SeiyaNozaki May 20, 2023
8414dc9
continue if no LST events are found around MAGIC events
SeiyaNozaki May 20, 2023
9120fba
scan offset after all_combination method, and refactoring codes
SeiyaNozaki May 21, 2023
ec0c954
change default value of to 100
SeiyaNozaki May 21, 2023
66dd1fb
refactor codes
SeiyaNozaki May 21, 2023
d595de3
clean up codes
SeiyaNozaki May 21, 2023
9a0e518
solve CI test (remove unused import function, f-string)
SeiyaNozaki May 21, 2023
c174363
fix typos
SeiyaNozaki May 24, 2023
1ed7480
use time_lolim, time_uplim to make it more monogeneous
SeiyaNozaki May 24, 2023
30a9252
change the scan range to +/-3 x half_window_width around the offset f…
SeiyaNozaki May 31, 2023
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use time_lolim, time_uplim to make it more monogeneous
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@SeiyaNozaki
SeiyaNozaki committed May 24, 2023
commit 1ed7480618eb8a26b3023b28db7e623f17e27027
14 changes: 6 additions & 8 deletions magicctapipe/scripts/lst1_magic/lst1_magic_event_coincidence.py
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Expand Up @@ -220,14 +220,12 @@ def event_coincidence(input_file_lst, input_dir_magic, output_dir, config):
# numbers of MAGIC events are left for the pre offset search.
# To find large-intensity showers within the same time window,
# time cut around MAGIC observations is applied to the LST data set.
cond_lolim = (
timestamps_lst
>= timestamps_magic[mask_lst_obs_window][0] - window_half_width
)
cond_uplim = (
timestamps_lst
<= timestamps_magic[mask_lst_obs_window][-1] + window_half_width
)
time_lolim = timestamps_magic[mask_lst_obs_window][0] - window_half_width
time_uplim = timestamps_magic[mask_lst_obs_window][-1] + window_half_width

cond_lolim = timestamps_lst >= time_lolim
cond_uplim = timestamps_lst <= time_uplim

mask_magic_obs_window = np.logical_and(cond_lolim, cond_uplim)

if np.count_nonzero(mask_magic_obs_window) == 0:
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