Speaker
Description
The RadMap Telescope is a compact radiation monitor that can characterize the radiation environment aboard spacecraft and determine the biologically relevant dose received by astronauts. Its main sensor is a tracking calorimeter made from 1024 scintillating-plastic fibers of alternating orientation read out by silicon photomultipliers. It allows the three-dimensional tracking and identification of cosmic-ray nuclei by measurement of their energy-deposition profiles. A first prototype was deployed to the International Space Station (ISS) between April 2023 and January 2024 for an in-orbit demonstration of the instrument’s capabilities.
In this contribution, we will give an overview of the current status of the event-by-event track reconstruction. We describe the neural-network-based analysis framework that we trained and evaluated on simulated data and demonstrate that the expected performance of the instrument is in agreement with the requirements of radiation monitoring. In addition, we present the on-going analysis of the data collected on the ISS, discussing the track-based selection of reconstructable events from the raw detector data and showing first results for the direction-dependent particle flux.
