Latest results on the analysis of the radio frequency spectrum emitted by high energy air showers with LOFAR
Clicks: 269
ID: 99530
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
63.7
/100
264 views
215 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
The LOw Frequency ARay (LOFAR) is a multi-purpose radio antenna array aimed to detect radio signals in the frequency range 10 - 240 MHz, covering a largesurface in Northern Europe with a higher density in the Netherlands. Analytical calculations and simulation studies performed in the 2000s indicate a dependence of the radio frequency spectrum on cosmic-ray characteristics. The high number density of radio antennas at the LOFAR core allows to characterise the observed cascade in a detailed way. The radio signal emitted by air showers in the atmosphere has been studied accurately in the 30 - 80 MHz frequency range. The analysis has been conducted on simulated eventsand on real data detected by LOFAR since 2011. The final aim of this study is to find an independent method to infer information of primary cosmic rays for improving the reconstruction of primary particle parameters. Results show a strong dependence of the frequency spectrum on the distance to the shower axis for both real data and simulations. Furthermore, results show that this method is very sensitive to the precision in reconstructing the position of the shower axis at ground, and to different antenna calibration procedures. A correlation between the frequency spectrum and geometrical distance to the shower maximum development Xmax has also been investigated.
| Reference Key |
laura2019latestepj
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Laura, Rossetto;Antonio, Bonardi;Stijn, Buitink;Arthur, Corstanje;Heino, Falcke;M., Hare Brian;R., Hörandel Jörg;Pragati, Mitra;Katie, Mulrey;Anna, Nelles;P., Rachen Jörg;Pim, Schellart;Olaf, Scholten;Satyendra, Thoudam;T.N., Trinh Gia;Sander, ter Veen;Tobias, Winchen; |
| Journal | epj web of conferences |
| Year | 2019 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.