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The clunky previous version propagated n(z) samples all the way to a 2PCF using randomfield, which I think does include lensing, so, if you have an idea of what the redshift interim posteriors might look like for Euclid, that is very likely possible!
I'm finally ready to do this test. I will need some survey parameters for Euclid. @mjvakili, What is the best place to find Euclid's requirements on photo-zs and tomography?
@aimalz The requirements are provided on page 90 of Euclid red book: https://arxiv.org/abs/1110.319:
the mean scatter is required to be less than 0.05(1+z), with less than 10% catastrophic outlier and 0.002 error on the mean redshift per tomographic redshift bin. These might change but you can work with them for now.
Can you propagate the different n(z) estimates in your investigation to the predictions of shear 2PCF for a Euclid-like survey?
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