Skip to content

Goodman Pipeline V1.1.2 release
Compare
Choose a tag to compare
@simontorres simontorres released this 05 Oct 11:42
v1.1.2
2fd907d
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

  • Project and package renamed to goodman_pipeline this is because the
    previous was too generic. Now we have this structure:

      goodman_pipeline/
     docs/
     goodman_pipeline/
        core/
        images/
        ..etc
     setup.py
     ..etc

  • Bugs Fixed:

    • :class:~pandas.DataFrame index is unusable when partial parts are eliminated.
      Added index_reset(drop=True)
    • Data conversion from string to integer needed to be converted to float first.
    • For low SNR data there was confusion of noise with targets, added a median
      filter and increased the the order value of peak detection.

  • Created several new keywords:
    GSP_EXTR:
    Extraction window at the first column.
    GSP_SCTR:
    Used for extracted comparison lamps, contains the name of the file of
    science target that the lamp was extracted for.
    GSP_LAMP:
    For science targets, it records the name of the lamp used for the wavelength
    calibration.

  • "Sliding" cross correlation window (to trace non-linearity of wavelength
    solution) is set to the maximum value between the length of the lamp spectrum
    in pixels and four times the global cross correlation of the reference lamp to
    the new one.

  • Iterations in sigma clipping of differences between obtained wavelength
    values and laboratory values was increased from 1 to 3. This is for removing
    bad fitted lines and also RMS error calculation.

  • Gaussian Kernel size for reference lamp convolution is now dependent on slit size and binning

  • Added reference lamps for all gratings and their modes except 1200M0

  • Created script install_dcr.sh

  • Increased code coverage

  • Eliminated None elements in list of instances of :class:pipeline.core.core.NightDataContainer

  • Improved several logging messages

    • In general, it informs more, when it does an action and when it does not.
      What files are discarded,
    • Debugging plots are more complete for identify_targets.

  • Created new argument --debug-plot dedicated for graphical debugging, the
    old --debug will show additional messages but will not produce any
    graphical output.

  • Removed ability to process several folders in sequence, now the pipeline has to
    be run for each folder separately.

Assets 2
Loading