Speaker
Description
The Low-Frequency Array (LOFAR) has successfully constrained the mass composition in the $10^{16.5}$ - $10^{18}$ eV range, capturing the transition region from galactic to extragalactic sources. Standard reconstruction methods based on matching data to CoREAS simulations achieve a state-of-the-art precision in reconstruction of the $X_\mathrm{max}$, however they are computationally expensive and do not use all available signal information. We present a new reconstruction method based on the Bayesian Information Field Theory (IFT) framework.
The method utilizes signal timing and fluence information simultaneously and achieves a precision in $X_\mathrm{max}$ of $25.4 \mathrm{g/cm}^2$ and in radiation energy of 12.4% alongside a speedup with respect to standard methods of three orders of magnitude. This method benchmarks the first simultaneous reconstruction of timing and fluence data for LOFAR. We present the method itself, an application to LOFAR data and the current state of a reconstruction on the full LOFAR1.0 data set (2012-2024).