Learner profile of a


Christina is a cosmologist working on galaxy clustering.

Her skills include:

  • Working in areas of theory+model building, observations, n-body simulations
  • Good knowledge of statistics / statistical models
    • Comparing models to data
  • Working with standard pipelines (Boltzmann codes) 
  • Running large codes and dealing with large datasets
    • Submitting jobs to the supercomputer queue
    • Setting up interactive jobs 
  • Using pipelines set up by simulators 
  • Querying simulations (SQL, or interface)
    • Millenium 
    • Tau 
  • Using Python or C / C++ to manipulate datasets, often wrapping C in Python to speed up operations
  • Knowledge of using appropriate Python packages, such as:

    • emcee
    • Healpy
    • pandas
    • NumPy 
    • Matplotlib
    • Astropy
    • SciPy
    • Scikit-learn
  • N-body simulations
    • Gadget 
  • Collaboration and leadership
    • Managing a large number of international collaborators
WordPress Theme built by Shufflehound.

Copyright © Astronomy Data and Compute Services

ADACS is delivered jointly by Swinburne University of Technology and Curtin University. ADACS is funded under Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) Program via Astronomy Australia Ltd (AAL).