Abstract
The H.E.S.S. experiment in Namibia is a high-energy gamma-ray telescope sensitive in the energy range from 30 GeV to a several tens of TeV, that uses the atmospheric Cherenkov technique to detect showers developed within the atmosphere. The elastic lidar, installed on the H.E.S.S. site, allows to reduce the systematic errors related to the atmospheric composition uncertainties thanks to the estimation of the extinction profile for the Cherenkov light (300-650 nm). The latter has a direct impact on the reconstructed parameters, such as the photon energy and the source flux. In this paper we report on physics results obtained on the Crab Nebula spectrum using the lidar profiles obtained at the H.E.S.S. site.
Highlights
The H.E.S.S. experiment (High Energy Stereoscopic System) consists of five imaging Cherenkov telescopes situated in the Namibia Khomas Highland desert (1800 m above sea level) [1]
We quantify the impact on the reconstructed spectrum and in particular, we study the normalization dispersion which should in principle be reduced when using lidar data instead of the model currently used by the H.E.S.S. collaboration
We studied the impact of the lidar profiles on Crab Nebula data
Summary
The H.E.S.S. experiment (High Energy Stereoscopic System) consists of five imaging Cherenkov telescopes situated in the Namibia Khomas Highland desert (1800 m above sea level) [1]. For a shower induced by a photon of a given energy generating Cherenkov light that reaches the telescopes, the total charge measured by the cameras will be different if it propagates into a more transparent (or more opaque) atmosphere than the expected one. This directly impacts the reconstructed parameters, such as the photon energy and the source flux and can gives rise to an inaccurate reconstructed spectrum when the atmosphere transparency deviates significantly from the standard model. We quantify the impact on the reconstructed spectrum and in particular, we study the normalization dispersion which should in principle be reduced when using lidar data instead of the model currently used by the H.E.S.S. collaboration
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