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We present our 500 pc distance-limited study of stellar fares using the DarkEnergy Camera as part of the Deeper, Wider, Faster Program. The data wascollected via continuous 20-second cadence g band imaging and we identify19,914 sources with precise distances from Gaia DR2 within twelve, ~3square-degree, fields over a range of Galactic latitudes. An average of ~74minutes is spent on each field per visit. All light curves were accessedthrough a novel unsupervised machine learning technique designed for anomalydetection. We identify 96 flare events occurring across 80 stars, the majorityof which are M dwarfs. Integrated are energies range from $\sim10^{31}-10^{37}$ erg, with a proportional relationship existing betweenincreased are energy with increased distance from the Galactic plane,representative of stellar age leading to declining yet more energetic areevents. In agreement with previous studies we observe an increase in flaringfraction from M0 -> M6 spectral types. Furthermore, we find a decrease in theflaring fraction of stars as vertical distance from the galactic plane isincreased, with a steep decline present around ~100 pc. We find that ~70% ofidentified flares occur on short timescales of ~8 minutes. Finally we presentour associated are rates, finding a volumetric rate of $2.9 \pm 0.3 \times10^{-6}$ flares pc$^{-3}$ hr$^{-1}$.

The Deeper, Wider, Faster Program: Exploring stellar flare activity with deep, fast cadenced DECam imaging via machine learning