research how to add JS visualization library for spectra and lightcurves

[volodymyrss]

see aladinlite, how it opens fits

need to to open astropy fits table, plot it with errorbars

https://www.astro.unige.ch/mmoda/gallery/data-products/1e-11451-6141-isgri-light-curve-61
https://www.astro.unige.ch/mmoda/gallery/data-products/1e-11451-6141-isgri-spectrum-59

this is done with bokeh (link missing)

other options are :
flot
plotly
d3

may reach into previous work of MM

[volodymyrss]

@burnout87 could you give a reference to the code about visualization with bokeh/python?

@motame could you put a reference to HEAVENS visualization library for the record?

[francoismg]

Need to discuss metadata needed for the visualization (e.g. units from fits file header)

[volodymyrss]

Need to discuss metadata needed for the visualization (e.g. units from fits file header)

If you manage to open fits files from javascript library and access header, we can see how to do this.
Else we can use astropy to convert fits to json, there is a serializer already.

[burnout87]

@burnout87 could you give a reference to the code about visualization with bokeh/python?

About bokeh, within the dispatcher, it is used mainly here:

https://github.com/oda-hub/dispatcher-app/blob/master/cdci_data_analysis/analysis/plot_tools.py

where the Image, GridPlot and ScatterPlot classes are implemented using bokeh (and js9), providing methods to create the dedicated html.

An example of usage of those classes is within the oda_api:

https://github.com/oda-hub/oda_api/blob/master/oda_api/plot_tools.py

Where for the gallery, bokeh is used for lightcurves and spectra products.

check the get_html_image method for those two classes

[francoismg]

@volodymyrss thanks for the write access, I have pushed the headers data from https://www.astro.unige.ch/mmoda/gallery/sites/default/files/IBIS_lc_1E_1145.1-6141_Eta_Carinae_7790003.0.fits in the "data_sample" folder

[volodymyrss]

will split into #3 and #4