Mid-Shower Muon Conversion Background Filter #1217
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initial testing looks like it is functional (i.e. debug printouts when uncommented show that events are only being kept when muon pairs are generated at above the input threshold energy), will need to check the physical distributions after generating an actual sample.
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I am updating ldmx-sw, here are the details.
What are the issues that this addresses?
This resolves #984 by implementing a separate filter rather than incorporating this process into a general mid-shower background sample. Look there for the context on why this decision was made. Besides adding the ability to filter for this background, I also updated the
eat.pymodule to be more supportive of both 4GeV and 8GeV beams. This was done by having both the detector name and the generator be parameters to the function that configures the simulation and scaling the minimum energy required of the primary electron to be 87.5% of the beam energy (3.5GeV for 4GeV beam and 7GeV for 8GeV beam). The rest of the energy thresholds for the different backgrounds are inputs into the functions.Check List
I attached any sub-module related changes to this PR.Proof
I am showing proof that these developments were successful by showing plots where I vary the minimum required total energy in the muons$E_F$ as well as the minimum energy to bias a photon $E_B$ . When varying $E_F$ we expect the distribution of total muonic energy to have a hard cut at that value while varying $E_B$ should have no distorting affect on the distribution.1
Footnotes
Having two different parameters for this simpler, single-process case is overkill. I have tested and will put into the EaT internal note showing that $E_B$ can equal $E_F$ for this sample. ↩