Name: Adrian Oeftiger
Type: User
Company: GSI Helmholtz Centre
Bio: Accelerator Physicist interested in 1. collective beam dynamics (space charge, impedances), 2. numerical methods for solving PDEs, 3. high performance computing
Location: Germany
Blog: http://orcid.org/0000-0002-3856-2338
Adrian Oeftiger's Projects
AMD and GSI meeting on SixTrackLib on the GPU
Beam Dynamics: repository with cpymad and MAD-X configuration for running jupyter notebooks e.g. on binder
Launcher scripts for parallel jobs to be run on a cluster environment (skeleton, adaptable to LSF, HTCondor, SLURM etc)
Cython binding to MAD-X
Beam Dynamics: repository with cpymad and MAD-X configuration for running jupyter notebooks *inside a docker container* e.g. on binder
Collection of FADDEEVA Implementations
Open platform to collect and prioritize product feedback
Fit my InsTability eXponential
GSI accelerator seminar talk on 3 September 2020
Collective beam dynamics simulations and instabilities for CERN synchrotrons by college students (Gymnasium Hansenberg)
Testing grounds for git scenario: stacking files from different branches with same origins
Evaluation of PhD Hollow Bunch Measurements
GSI Summer Student Project 2023
Supplementary data and information for IPAC21 poster concerning the optimisation of SixTrackLib
Resources for the workshop on accelerator design (Joint Universities Accelerator School 2022)
JUAS 2024 Accelerator Design Workshop: MAD-X environment with jupyter notebook for topic 3
CERN Kepler project
KIT IBPT seminar talk on 14 September 2021
Least Squares minimization package from Kapteyn
Legacy MAD-X repository
Helpful notebooks and scripts for machine development sessions at accelerators based on the JAPC interface
Jupyter notebooks playing around with CUDA in Python
CERN PyHEADTAIL numerical n-body simulation code for simulating macro-particle beam dynamics with collective effects
Release Script for PyHEADTAIL
PyHEADTAIL mini version (PyHEADTAIL is a numerical n-body simulation code for simulating macro-particle beam dynamics with collective effects )
Notebook talk on PyHEP 2020: "Integrating GPU libraries for fun and profit"
Classes to work with mad and LHC optics