To do by Friday:

• Anisha:
• Aaron:
  • Simulate background.
  • Generate stars in fiducial volume around frame.
  • Generate full size star field (1530x1020), use uniform randomised values for all star variables (positions, fluxes, sigmas, correlation).
• Laura:
  • Fix star-finding code, attempt to calculate flux for each star

Anisha:

Aaron:

• Simulation code: Simulation_test6.py.txt
• Added generation of background to simulation. Assumed background values follow gaussian distribution - Python has a random gaussian generator with mean and S.D. as inputs.
• Stars can be generated outside of image frame (up to 15 pixels from edge).
• Randomly generated star parameters can be saved in text files.

• Generated a full-size star field, making estimates for some values/ranges for a 10 second exposure, and maximum signal/background ~2.
• Properties:
  • Size: 1530x1020
  • Stars in frame: 50
  • Background mean: 918.23
  • Background S.D.: 23.06
• Random parameter ranges (uniformly distributed):
  • Peak x position: [-15,1544]
  • Peak y position: [-15,1034]
  • Sigma_x: [3,6]
  • Sigma_y: [3,6]
  • Rho: [-0.5,0.5]
  • Peak value: [0,2000]
• 
• Star parameters: RandStarField1a.txt
• Alternative generation, estimating 300 second exposure, maximum s/b~60:
  • Background mean: 941.43
  • Background S.D.: 234.76
  • Peak value range: [0,60000]
• 
• Star Parameters: RandStarField1b.txt

• Code: StarFinder.txt
• Program now stores all coordinates in a star, mean pixel values (count) of the star used to calculate star flux