Axidence is a stax-based data-driven accidental coincidence background simulation framework. It can also perform the peak-level salting to calculate the features related to ambient environment.
cd axidence
pip install ./ --user
strax-based data-driven accidental coincidence background simulation and peak-level salting
License: BSD 3-Clause "New" or "Revised" License
We need to solve https://github.com/AxFoundation/strax/pull/769/files#r1386797972
This is related to how we match the salting truth and salting result. For example, the event_basics_salted
's main S1 might not be a S1s in events_salting
.
strax will not guarantee that the saved chunk is less than rechunk_on_save
, but the size of chunks will be roughly rechunk_on_save
.
Anyway I will set rechunk_on_save
of peaks_paired
as False
: https://github.com/dachengx/axidence/blob/f9c5bc053f40b8bb93686ef747419d8b7beb6063/axidence/plugins/pairing/peaks_paired.py#L21.
This means we should make a separate function to calculate AC rate based on isolated S1 and S2 rates.
If the rate of salting peaks is not so high, then we can assume the built salted events are not overlapping. This means that the peaks of different "salt_number"
will not be in the same event, then we are able to build the events within one call of straxen.Events.compute
.
We should eventually set https://github.com/dachengx/axidence/blob/3f9a319e909ec01f262bcd7c5c535f4d3b3f7eae/axidence/plugins/salting/events_salting.py#L42-L46 to True so that we will not see errors about chunk merging.
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