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From what I remember doing this years ago, the selection efficiency is usually determined through numerical simulation rather than analytically. So why would y
by jessriedel 9y ago
From what I remember doing this years ago, the selection efficiency is usually determined through numerical simulation rather than analytically. So why would your estimate of the efficiency get worse with more complicated models?
- dukwon 9y agoIn general, simulation doesn't agree with data perfectly. The more the variables (and their correlations) aren't reproduced faithfully, the more the efficiency determined from simulation is likely to depart from the truth. It's even possible to accidentally train an algortihm to discriminate between simulation and data rather than signal and background. It's common practice to check data/simulation agreements between variables before using them for training. Reweighting procedures are used to improve agreement.