1. Topolgical data analysis for AGATA
Laura Harkness-Brennan (Physics) and Vitaliy Kurlin (Computer Science)

2. Supervisory Team Laura Harkness-Brennan (50%) Department of Physics
Lecturer - Nuclear Physics Group
Coordinator of PSA team for AGATA collaboration
Expertise in radiation detectors and gamma-ray spectroscopy
Vitaliy Kurlin (50%) Computer Science and MIF
Joined Liverpool in 2016
Senior Lecturer – Computer Science and Materials Innovation Factory
Research: Tomological data analysis for materials science, computer vision, climate
Programming skills: C/C++, Java, Matlab, Python, etc

3. Dr Vitaliy Kurlin

4. Fraser Holloway
BSc Physics with Nuclear Science University of Liverpool
1st Class honours
Awarded Hudson Year 3 Prize
Currently on a summer placement at Harwell working with Canberra-Mirion
Enjoys nuclear physics, computing and python programming
Would like to continue in nuclear physics after the PhD, probably working in industry

5. Background
Advanced Gamma Tracking Array (AGATA) is a spectrometer used to probe fundamental properties of atomic nuclei
Over 350 scientists across over 40 research institutes
Detects gamma-rays emitted when nuclei are excited into a higher energy state by a collision, using radioactive and stable ion beams at facilities across Europe
Full array: there will be 180 large volume 36-fold segmented Ge crystals in 60 triple-clusters

6. ? Gamma-ray resolving Power Year 108 106 104 102 100
108
106
104
102
100
Gammasphere, Euroball
Compton Suppression & HPGe
Small Arrays
Ge(Li)
NaI
Geiger-Muller
Discovery of Radioactivity
Ge Shell & Tracking ?
How does nuclear shell structure evolve in exotic neutron-rich nuclei?
How do collectivity and pairing correlations change in neutron-rich nuclei?
What is the structure of the heaviest nuclear systems?
What are the limits of the high-spin domain?
Gamma-ray resolving Power
Year

7. Analysis of data offline
AGATA array: 6840 channels, continuously digitised by sampling 14-bit ADCs at 100MHz
Pre-processing in FEE’s, 600ns data packets sent to PC farms that run PSA algorithms with data rates 370MB/s
PSA used to determine gamma-ray interaction positions, fed into the tracking algorithms and sent to a grid centre
Analysis of data offline
AGATA Data

10. Milestones
Identification of potential toplogical analysis methods for project
Implementation and testing of methods
Application of techniques to source and in-beam data
Performance and impact evaluation

11. Placement Opportunities
STFC Darsbury: (skills training), Monte-Carlo techniques
IN2P3, France: Analysis of in-beam data for AGATA (LTA placement)
GANIL, France: processing large experimental data sets and participation in AGATA experiments, to gain an appreciation of real-time data processing challenges (LTA placement)