Photon air showers at ultra-high energy and the photonuclear cross-section
arXiv:astro-ph/0512434 · doi:10.1007/s10582-006-0166-7
Abstract
Experimental conclusions from air shower observations on cosmic-ray photons above 10^19 eV are based on the comparison to detailed shower simulations. For the calculations, the photonuclear cross-section needs to be extrapolated over several orders of magnitude in energy. The uncertainty from the cross-section extrapolation translates into an uncertainty of the predicted shower features for primary photons and, thus, into uncertainties for a possible data interpretation. After briefly reviewing the current status of ultra-high energy photon studies, the impact of the uncertainty of the photonuclear cross-section for shower calculations is investigated. Estimates for the uncertainties in the main shower observables are provided. Photon discrimination is shown to be possible even for rapidly rising cross-sections. When photon-initiated showers are identified, it is argued that the sensitivity of photon shower observables to the photonuclear cross-section can in turn be exploited to constrain the cross-section at energies not accessible at colliders.
Based on a talk presented at the international conference "From Colliders to Cosmic Rays", Prague, September 7-13 (2005)
References in corpus (2)
Cited by in corpus (7)
- Upper limit on the cosmic-ray photon flux above 10^19 eV using the surface detector of the Pierre Auger Observatory
- Upper limit on the cosmic-ray photon fraction at EeV energies from the Pierre Auger Observatory
- An upper limit to the photon fraction in cosmic rays above 10^19 eV from the Pierre Auger Observatory
- Search for ultra-high energy photons using air showers
- Characteristics of geomagnetic cascading of ultra-high energy photons at the southern and northern sites of the Pierre Auger Observatory
- Review of the Multimessenger Working Group at UHECR-2012
- Readdressing the contribution of photonuclear reactions to the muon content of extensive air showers: a heuristic approach