Mapping variations of redshift distributions with probability integral transforms
We present a method for mapping variations between probability distribution functions and apply this method within the context of measuring galaxy redshift distributions from imaging survey data. This method, which we name PITPZ for the probability integral transformations it relies on, uses a difference in curves between distribution functions in
Myles, J. et al.
Fecha de publicación:
2
2023