Issue |
EPJ Web Conf.
Volume 197, 2019
Atmospheric Monitoring for High Energy Astroparticle Detectors (AtmoHEAD) 2018
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 4 | |
Section | The Influence of the Atmosphere on the Measurements of Present and Future UHECR and Gamma-Ray Experiments | |
DOI | https://doi.org/10.1051/epjconf/201919701004 | |
Published online | 15 January 2019 |
https://doi.org/10.1051/epjconf/201919701004
The use of aerosol data in Auger Fluorescence Detector analysis
1
Department of Physics, University of Adelaide,
Adelaide, S.A.
5005,
Australia
2
Observatorio Pierre Auger,
Av. San Martín Norte 304,
5613
Malargüe,
Argentina
* e-mail: bruce.dawson@adelaide.edu.au
** e-mail: auger_spokespersons@fnal.gov
*** Author list: http://www.auger.org/archive/authors_2018_09.html
Published online: 15 January 2019
The Pierre Auger Observatory’s Fluorescence Detector (FD) consists of 27 telescopes arranged in four sites around the perimeter of the 3000 square kilometre Surface Detector (SD). Cosmic ray extensive air showers are viewed via the nitrogen fluorescence light they induce in the atmosphere. Careful treatment of light attenuation processes must be made, especially given that some showers are viewed at distances in excess of 30 km. Of particular importance is the attenuation due to scattering by aerosol particles, a challenging topic given that aerosol concentrations can vary on time-scales of hours. At the Auger Observatory, the vertical distribution of aerosols is measured hourly with a series of bi-static lidar systems (consisting of central laser facilities and each of the FD sites), and three times per night with a Raman lidar system. In this contribution we describe the use of aerosol profiles in the analysis of air shower data, in particular in the estimation of the cosmic ray primary energy, and the depth of shower maximum, Xmax. We also demonstrate how statistical and systematic uncertainties in the aerosol concentrations propagate through to a contribution to energy and Xmax uncertainties.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.