Speaker
Description
Segmented muon detectors, such as the Underground Muon Detector (UMD) of the Pierre Auger Observatory, can suffer from overcounting due to inclined muons generating signals in two adjacent segments. This effect, known as corner-clipping, introduces a bias in the muon estimator that increases with the zenith angle. To correct for this, the common approach is to parameterize the bias as a function of the zenith and azimuth angles using air shower and full detector simulations. This correction, which relies entirely on simulations, is then applied to the data. In this work, we introduce a data-driven method to quantify and correct the corner-clipping effect. Although we use the UMD of the Pierre Auger Observatory as an example, this procedure can be applied to any segmented detector with time resolution.
