February was a month of very intensive work to prepare our straw detector and Data Acquisition System for tests with proton beam from COSY accelerator at Juelich Forschungszentrum in Germany.
Together with 5 other groups we had granted one week of beamtime to evaluate the detectors, electronics and software.
It was the first time we evaluated operation of the entire, small scale detector system for PANDA experiment. Three detector subsystems: Forward Tracker, Electromagnetic Calorimeter and Time-of-Flight, each with their own readout system, were synchronized with SODANet system and generated data was processed by a set of 3 Compute Node modules for burst building and preliminary preprocessing.
It was also the possibility to test the data preprocessing system based on Xilinx ZCU102 platform. The board receives data streams from the digitizing boards and recovers track candidates, rejecting empty events.
Additive Synthesizer – Gdansk University of Technology was granted with Digilent special prize for best usage of Digilent Instruments.
The event lasts for two days. On Saturday all finalists were presenting their work. On Sunday only few teams were invited for showing in details their solutions.
Most of submissions for the contest were diploma thesis or long-term projects conducted by experienced engineers.
Our approach for competition was to learn a lot and explore different approaches to Augmented Reality on SoC devices. In my opinion it is not necessarily important to win, but to compete, cooperate and learn state-of-the-art techniques and methods. We draw conclusions and got valuable feedback from community.
We have successfully managed to construct the first ever mini PANDA DAQ system!
Two subsystems: FT straws and EMC are working together, synchronized by SODANet and processed by Burst Building Network constructed out of 3 Compute Node modules.
First cosmics were collected and tracks reconstructed!
Enhanced image reconstruction, including 3D and TOF functionalities has been successfully implemented entirely in the FPGA!
In programmable logic, we are finding LOR candidates and reconstruct the annihilation point coordinates. Then, only X, Y, Z values are being sent from the JPET Controller to the server that produces 3D canvas with the scanner visualization.
You can find a video showing it in action under [this] link.
Implementation of image reconstruction from tomographic data has been presented for the first time to external experts in tomography at two conferences. First one was XL IEEE-SPIE Joint Symposium Wilga 2017 and the second one was 2nd Jagiellonian Symposium on Fundamental and Subatomic Physics
The project received much interest from the experts from USA universities and was reviewed as having much potential in development of true innovative solutions, not existing on market so far.
Another step into tomographic image reconstruction in real time has been made!
JPET Controller allows to process data from 8 TRBv3s in several steps leading to image creation:
Receive and synchronize data units from the TRBv3s
Hit data extraction
Detector geometry mapping
LOR coordinates calculation
All those steps, performed 50 000 times per second, processing hundreds MB per second reduce the data volume to hundreds of KB and limit the processing on the CPU only to drawing points. All this on a single Xilinx Zynq.
Next steps are:
Introduction of calibration parameters
3rd dimension Z-Axis
Under this [link] you can find a video that shows reconstructed image being drawn in real time as the radioactive source on robotic arm scans the detector.