# Related Codes - [feature/CCAResponse](https://github.com/project8/mermithid/tree/feature/CCAResponse) branch > [`mermithid/processors/DataGenerator4D/DataGenerator4D.py`](https://github.com/project8/mermithid/blob/f9b16f0cfa689a83711a408c40dc68195a8b4177/mermithid/processors/DataGenerator4D/DataGenerator4D.py) # Problem - The CCA response processor yields the trapping efficiency _roughly, but not exactly_ consistent with the theory or Adil's calculation. - Related presentation material on Bootcamp: [`260128_CCAResponseTrappingValidation.pdf`](https://3.basecamp.com/3700981/buckets/3107037/uploads/9518098045) ## CCA V45 Trap - Total trapping efficiency by the CCA response: 2.93% - Total trapping efficiency by Adil's MC: 3.03% <img width="1236" height="1303" alt="Image" src="https://github.com/user-attachments/assets/a50b8e0f-3c97-432e-a5e8-8e7e0d6c6e96" /> ## Box Trap - Total trapping efficiency by the CCA response: 22.36% - Total trapping efficiency by theory: 22.07% ## Harmonic Trap - Total trapping efficiency by the CCA response: 17.56% - Total trapping efficiency by theory: 17.53% # Source of the Discrepancy - is unknown yet. - Comparing the processor with [Adil's calculation code](https://github.com/project8/scripts/blob/master/ekarim/CCA/Ensemble_Weighting_CCA_Kr_Adil.ipynb) would be helpful to address the issue for the CCA Trap, but not for the box and harmonic traps. - The field map interpolator method could matter.
