  The current data acquisition rate of astronomical transient surveys and the
promise for significantly higher rates during in the next decade necessitate
the development of novel approaches to analyze astronomical data sets and
promptly detect objects of interest. The Deeper, Wider, Faster (DWF) program is
a survey focused on the identification of fast evolving transients, such as
fast radio bursts, gamma-ray bursts, and supernova shock breakouts. It employs
a multi-frequency simultaneous coverage of the same part of the sky over
several orders of magnitude. Using the Dark Energy Camera mounted on the
4-meter Blanco telescope, DWF captures a 20 second g-band exposure every
minute, at a typical seeing of ~ 1" and an airmass of ~ 1.5. These optical data
are collected simultaneously with observations conducted over the entire
electromagnetic spectrum - from radio to gamma-rays - as well as cosmic ray
observations. In this paper, we present a novel real-time light curve analysis
algorithm, designed to detect transients in the DWF optical data; this
algorithm functions independently from, or in conjunction with, image
subtraction. We present a sample of fast transients detected by our algorithm,
as well as a false-positive analysis. Our algorithm is customizable and can be
tuned to be sensitive to transients evolving over different timescales and flux
ranges.
