  While the spectroscopic classification scheme for Stripped envelope
supernovae (SESNe) is clear, and we know that they originate from massive stars
that lost some or all their envelopes of Hydrogen and Helium, the photometric
evolution of classes within this family is not fully characterized. Photometric
surveys, like the Vera C. Rubin Legacy Survey of Space and Time, will discover
tens of thousands of transients each night and spectroscopic follow-up will be
limited, prompting the need for photometric classification and inference based
solely on photometry. We have generated 54 data-driven photometric templates
for SESNe of subtypes IIb, Ib, Ic, Ic-bl, and Ibn in U/u, B, g, V, R/r, I/i, J,
H, Ks, and Swift w2, m2, w1 bands using Gaussian Processes and a multi-survey
dataset composed of all well-sampled open-access light curves (165 SESNe, 29531
data points) from the Open Supernova Catalog. We use our new templates to
assess the photometric diversity of SESNe by comparing final per-band subtype
templates with each other and with individual, unusual and prototypical SESNe.
We find that SNe Ibns and Ic-bl exhibit a distinctly faster rise and decline
compared to other subtypes. We also evaluate the behavior of SESNe in the
PLAsTiCC and ELAsTiCC simulations of LSST light curves highlighting differences
that can bias photometric classification models trained on the simulated light
curves. Finally, we investigate in detail the behavior of fast-evolving SESNe
(including SNe Ibn) and the implications of the frequently observed presence of
two peaks in their light curves.
