1. 07 May, 2016 1 commit
  2. 06 May, 2016 4 commits
  3. 01 May, 2016 1 commit
    • Médéric Boquien's avatar
      A significant fraction of the total run time is spent computing integrals... · 39a40764
      Médéric Boquien authored
      A significant fraction of the total run time is spent computing integrals (e.g. fluxes in passbands). We can make the integration faster by rewriting the trapezoidal rule in terms of np.dot(). This allows to offload the computation to optimised libraries. The end result is that the integration is twice as fast, with a gain of ~10-15% on the total run time.
      39a40764
  4. 30 Apr, 2016 1 commit
  5. 04 Apr, 2016 4 commits
  6. 01 Apr, 2016 2 commits
  7. 30 Mar, 2016 1 commit
  8. 22 Mar, 2016 2 commits
  9. 16 Mar, 2016 1 commit
  10. 11 Mar, 2016 3 commits
  11. 10 Mar, 2016 2 commits
  12. 29 Feb, 2016 1 commit
  13. 16 Feb, 2016 2 commits
  14. 15 Feb, 2016 3 commits
  15. 12 Feb, 2016 1 commit
  16. 11 Feb, 2016 3 commits
  17. 05 Feb, 2016 4 commits
  18. 04 Feb, 2016 1 commit
  19. 03 Feb, 2016 2 commits
    • Yannick Roehlly's avatar
      Convert input table to float · 62f18056
      Yannick Roehlly authored
      When reading a table from a file, convert all the integer columns to float
      (except the 'id' column).  These columns are fluxes or error on fluxes and thus
      should be treated as float even when they contain only integer.  This solves the
      problem of trying to affect NaN value to an integer column.
      
      Fixes #6
      62f18056
    • Yannick Roehlly's avatar
      Convert input table to float · b8a59999
      Yannick Roehlly authored
      When reading a table from a file, convert all the integer columns to float
      (except the 'id' column).  These columns are fluxes or error on fluxes and thus
      should be treated as float even when they contain only integer.  This solves the
      problem of trying to affect NaN value to an integer column.
      
      Fixes #6
      b8a59999
  20. 01 Feb, 2016 1 commit