@article {647964, title = {Galaxy-Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets}, journal = {Monthly Notices of the Royal Astronomical Society}, volume = {490}, year = {2019}, month = {December 01, 201}, pages = {5658-5677}, abstract = {Although photometric redshifts (photo-z{\textquoteright}s) are crucial ingredients forcurrent and upcoming large-scale surveys, the high-quality spectroscopicredshifts currently available to train, validate, and test them aresubstantially non-representative in both magnitude and colour. Weinvestigate the nature and structure of this bias by tracking howobjects from a heterogeneous training sample contribute to photo-zpredictions as a function of magnitude and colour, and illustrate thatthe underlying redshift distribution at fixed colour can evolve stronglyas a function of magnitude. We then test the robustness of the galaxy-galaxy lensing signal in 120 deg2 of HSC-SSP DR1 data tospectroscopic completeness and photo-z biases, and find that theirimpacts are sub-dominant to current statistical uncertainties. Ourmethodology provides a framework to investigate how spectroscopicincompleteness can impact photo-z-based weak lensing predictions infuture surveys such as LSST and WFIRST.}, keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics}, isbn = {0035-8711}, url = {https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.5658S}, author = {Speagle, Joshua S. and Leauthaud, Alexie and Huang, Song and Bradshaw, Christopher P. and Ardila, Felipe and Capak, Peter L. and Daniel J. Eisenstein and Masters, Daniel C. and Mandelbaum, Rachel and More, Surhud and Simet, Melanie and Sif{\'o}n, Crist{\'o}bal} }