/SIMRobbie

A repository to simulate data for testing Robbie.

Primary LanguagePythonOtherNOASSERTION

Description

This repository was created in order to generate a set of test images for Robbie. The images contain a population of persistent sources, variable sources, and transient sources.

Python

Simulation settings

The parameters of the simulation can be set in settings.py. The default parameters and a description are shown below:

seed = 20181126       # Seed for random number generator
nepochs = 25          # Total number of epochs to generate
nsrc = 1100           # Total number of sources to generate
nvar = 500            # Number of sources which are variable (flux varies between epochs)
ntrans = 100          # Number of sources which are transient (present in only a single epoch)
nnorm = 500           # Number of persistent sources (no change between epochs)
rarange = (173, 187)  # The range of RA over which to simulate the sources (Degrees)
decrange = (-7, 7)    # The range of Dec over which to simulate the sources (Degrees)
fluxrange = (5e-3, 1) # The min/max flux of sources in Jy
imagerms = 5e-3       # Individual epoch image rms in Jy
data_dir = "data"     # The directory in which the simulated files will be stored

Data products

All the data will be stored in the data_dir as specified in settings.py. The following files are created:

  • Epoch??.fits
    • Simulated image for this epoch
  • Epoch??_nois.fits
    • Source free image for this epcoch (just nosie)
  • Epoch??_comp_simp.fits
    • Catalogue of sources for this epoch
  • Reference_comp_sim.fits
    • The reference catalogue with ra/dec and mean flux for each source
  • Reference_all.fits
    • The reference catalogue with ra/dec for each source and the flux in each epoch.
  • square.mim, square.reg
    • MIMAS and DS9 format region files for the area of interest.
    • Not used in the simulation, but may be useful for visulatisation

How2Run

  • Modify settings.py or use the default
  • Run ./MakeEpochImages.sh
  • ?
  • Profit

Credit

If you make use of Robbie or SIMRobbie as part of your work please cite Hancock et al. 2018, and link to this repository.