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We present the methods and results from the discovery and photometricmeasurement of 26 bright (VR $>$ 24 trans-Neptunian objects (TNOs) during thefirst year (2019-20) of the DECam Ecliptic Exploration Project (DEEP). The DEEPsurvey is an observational TNO survey with wide sky coverage, high sensitivity,and a fast photometric cadence. We apply a computer vision technique known as aprogressive probabilistic Hough transform to identify linearly-moving transientsources within DEEP photometric catalogs. After subsequent visual vetting, weprovide a photometric and astrometric catalog of our TNOs. By modeling thepartial lightcurve amplitude distribution of the DEEP TNOs using Monte Carlotechniques, we find our data to be most consistent with an average TNO axisratio b/a $<$ 0.5, implying a population dominated by non-spherical objects.Based on ellipsoidal gravitational stability arguments, we find our data to beconsistent with a TNO population containing a high fraction of contact binariesor other extremely non-spherical objects. We also discuss our data as evidencethat the expected binarity fraction of TNOs may be size-dependent.

The DECam Ecliptic Exploration Project (DEEP) IV: Constraints on the shape distribution of bright TNOs