teda 1.0.0

TeDa FITS Viewer

TeDa FITS Viewer

Observatory optimized FITS Images viewer

Key Features

• Flexible windows and widgets layout
• WCS support
• Radial Profile with gaussoide fit (try r-key)
• Scan mode: observes directory for changes and automatically opens new FITS
• Integrated ipython console with direct access to data and application

Installation

   pip install teda
   teda_viewer 

To use ipython console, additionally:

    pip install qtconsole

Run

The installation scripts should install the command:

    teda_viewer

Try

    teda_viewer --help

for list of command line parameters.

Dynamic Scale and Color

The dynamic scale of the image, and color mapping can be adjusted form the Dynamic Scale panel. From menu: View/Dynamic Scale

Fits Header Cards Pinning

On the FITS Header panel, selected keys can be pinned to appear on the top ot the list. This can be done via context (right-click) menu.

The set of pinned keys is saved and preserved between sessions.

Integrated Python Console

In order to use integrated python console the qtconsole module, and it's dependencies (jupyter related) have to be installed. This is not done by default pip installation to keep number of dependencies reasonably small. Install qtconsole by:

    pip install qtconsole

The console is available form menu View/Python Console

Predefined variables

The console has a number of predefined variables set:

• ax: WCSAxesSubplot main plotting axes.
• window: MainWindow main window
• data: numpy.ndarray current HDU data
• header: astropy.fits.Header current HDU header
• wcs: astropy.wcs.WCS the WCS transformer

Plotting

To plot directly on the console, run the following magic command %matplotlib inline.

When plotting on the main canvas, the result will appear after redrawing main figure by ax.figure.canvas.draw().

The example below, draws linear profile on the console and corresponding line on the main FITS display:

%matplotlib inline
import matplotlib.pyplot as plt
ax.plot([10,30], [10,10])
ax.figure.canvas.draw()
plt.plot(data[10,10:30])

Directory Scan

The Scan Toolbar (hidden by default) provides controls for the directory scanning mode.

After pressing Scan button, and choosing directory, TeDa Fits Viewer will load most recent FITS file from that directory, and keep watching the directory for changes. When new FITS file is added to directory, it will be loaded automatically.

To avoid loading new files when inspecting current one, pause scanning by Pause button.

This mode is intended to observe newly created FITS files in observatory.

Development version install

    git clone [e-mail]:majkelx/teda.git
    cd teda
    python -m venv venv
    source ./venv/bin/activate
    pip install -r requirements.txt
    pip install -e .

Bugs, remarks, greetings and contribution

Please use GitHub issues tracker and pull requests.

@2020 AkondLab for the Araucaria Project.