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You can do it via the astroquery SDSS module; there is a function called query_sql.


So after further digging and following the partial answer above, I came up with this code/answer which should suffice if you got the 'amplitude spectrum' right away and works. import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.read_csv('FLSP.csv', index_col = False) with pd.option_context('display.float_format', '{:0.20f}'....


This is a partial answer based on the discussion in comments below the question. If one already has an "amplitude spectrum" and one wants to convert to a power spectrum, all you have to do is take the absolute value of the amplitude and square it. In Python (introduced in the question) that's just np.abs(amplitude)**2. When you take the Discrete ...


Neptune has an axial tilt of 28.3 degrees and an orbital period of 164.8 Earth years; currently, the north pole is tilted away from Earth. The maps in your question were each constructed from twelve exposures of Neptune: four each in 845 (red), 547 (green), and 467 nm (blue) wavelengths. Each of the exposures was then converted from an effectively-...

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