GSoC Proposal Accepted!

Approved Proposal Shown here!

I'm so very excited that my GSoC project working with Sunpy has been accepted! 

In the next month, I'll be becoming more acquainted with both Sunpy and CHIANTI. Then, coding will ensue on this project. I'm also excited to be working with mentors Drew Leonard and Will Barnes.

Thanks for this opportunity Google!

***

Getting into SunPy

Part 2: Pull Request: Spectrogram log y axis #291  

 

I have found data that can be used with Sunpy's spectrogram class! A solar radio spectrometer called CALLISTO is used internationally for networking solar radio data (with direct access!). Technically, I am using the CallistoSpectrogram class in sunpy.spectra to open data that I'll use to test the Spectrogram class. Using this data, I am confident that the format loaded into the class I'd like to test is correct.

>>> import spectrogram
>>> import matplotlib.pyplot as plt
>>> from sunpy.spectra.sources.callisto import CallistoSpectrogram
>>> spectra = CallistoSpectrogram.from_file('ALASKA_20160404_000000_59.fit')
>>> gram = spectrogram.Spectrogram(spectra.data, spectra.time_axis, spectra.freq_axis, spectra.start, spectra.end)
>>> gram.plot()
>>> plt.show()

Woot, data loaded successfully!

Next, the pull request asks if: instead of the frequency being on a linear scale, is it possible to make it a log scale? Looking at the spectra.spectrogram class in sunpy, I see that the linear frequency scale took some work to implement. Simply implementing a logy keyword would be confusing with the linear keyword already in place. So, I am trying to implement the axes.set_yscale('log') after the linear scale is established. Perhaps this could be changed just before plotting for an easy addition to the class. Otherwise, I plan to implement a log frequency axis in a similar way to the linear frequency axis.

To be continued.

***

reference to helpful sunpy help page