Using 20 event features and a unified training set, an MLP improves HAWC gamma-hadron separation, increasing Crab Nebula significance by 19% and differential sensitivity by 23-40%.
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abstract
The High Altitude Water Cherenkov (HAWC) observatory is a very high energy gamma-ray detector located in Mexico. In late 2018, the HAWC collaboration completed a major upgrade consisting of the addition of a sparse outrigger array of 345 small water Cherenkov detectors (WCDs) surrounding the 300 WCDs of the main array and extending the instrumented area by a factor of 4. It provides an improved reconstruction of the showers whose core and footprint are not well contained in the array and increases the effective area in the range of a few TeV to beyond 100 TeV. This improvement in sensitivity will help to have a better understanding of the Galactic sources that accelerate particles up to the knee of the cosmic ray spectrum. In this contribution, we will show the current status, the performance, and the first results from the HAWC outrigger array.
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HAWC Performance Enhanced by Machine Learning in Gamma-Hadron Separation
Using 20 event features and a unified training set, an MLP improves HAWC gamma-hadron separation, increasing Crab Nebula significance by 19% and differential sensitivity by 23-40%.