1. Tracking and Event Reconstruction for the Multi- purpose Active-target Telescope (MAPT) Michael Milde Space Detector Systems Technische Universität München, Excellence Cluster Universe Connecting The Dots 2016 February 23, 2016

2. Motivation 02/23/2016Michael Milde | TUM2 continuous monitoring of the radiation background omnidirectional acceptance determination of particle characteristics particle identification with Bragg curve spectroscopy Applications radiation monitoring in manned and unmanned spacecraft (-> small size and mass) astrophysics: measurement of trapped antiprotons in Earth’s radiation belts medical: radiation therapy, DAQ for PET,... beam monitoring in accelerator facilities

3. Detector 02/23/2016Michael Milde | TUM3 zy-fibersxy-fibers

4. Event Reconstruction 02/23/2016Michael Milde | TUM4 Track finding using standard Hough Transformation find tracks in 2D projections (xy- fibers and zy-fibers) combine 2D tracks to 3D track calculate 3D track parameters (entrance point, two angles) Use resulting track parameters as input for track fitting

5. Track Fitting 02/23/2016Michael Milde | TUM5 Bayesian approach to handle uncertainties on an event-by-event basis parameter estimation (e.g. Birk’s coefficient of fibers) with many events Objective Recursive Bayesian Filtering We model the traversing particle and its interaction with the detector as a dynamic state system. State vector: vector to one point on track directionenergy incoming particle

6. Hidden Markov Model 02/23/2016Michael Milde | TUM6

7. Optimal Bayesian Solution 02/23/2016Michael Milde | TUM7 defined by system model defined by measurement model

8. Particle Filter Implementation 02/23/2016Michael Milde | TUM8 non-linear system model non-Gaussian noise optimal Bayesian solution cannot be solved analytically sequential Monte-Carlo approach: Particle filter = PDFs are modeled as a set of random samples with associated weights Feedback experiences with this approach handling outliers, robustness performance improvements (parallelization, GPU implementation) possible online solutions (particle filter or Hough Transform)

9. Thank you for your attention!