Comments (5)
@cecilia-ferrari @hammannr since we chatted.
Also
@yuema137 and @jingqiangye -- do you think this makes sense also for lowER as a goal for the medium term?
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Also @matteoguida might be interested
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@kdund, @hammannr, I'll try to contribute to developing this class, though it might not be in the immediate future.
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Yeah that'll be cool! In SR0 LowER search, I had to define different classes for each of them -- flat, gaussian, skew-guassian, and template-based. One additional thing to add on top of your list of requirements -- allow to change the region of interest, for example in the case of blinding or just the need to optimize.
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Ciao!
Based on the code @GiovanniVolta developed for Nucleon Decay disappearance studies, we built a tool for 1D CES fit. It is currently called he_er but as shown at the end of this example notebook can also perform analysis in the low er ROI. Also in this case, depending on the nature of the background component (peak, theoretical spectrum or G4 generated one) the model is implemented with a specific class.
As discussed in the pull request thread, some features still need improvements.
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Related Issues (20)
- Add documentation based on readthedocs HOT 1
- Steering script for multiple toyMC submission HOT 1
- Results collation and processing
- ToyMC submission to Midway
- Example Notebooks HOT 2
- `slice` not working for numpy==1.25.1 HOT 1
- Allow confidence intervals to be computed for only some hypotheses
- Allow the composition of several conf files HOT 3
- Access to templates
- Dealing with static shape parameters HOT 2
- Add degree of freedom to `asymptotic_critical_value`
- Do not submit job when the `output_filename` exists. HOT 2
- Should fit failures be tagged/ warnings thrown etc?
- expectation value bounds
- Improve "static" functionality HOT 2
- Allow arbitrary computation names HOT 3
- Test issue
- Try prefix all filename with a pre-defined path
- Neyman constructor easy initialisation
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