FAST loss-cone electron precipitation database

A FAST electron precipitation database derived from FAST EESA observations, covering beginning of mission (October 1996) through 2009.

Number flux ('j') and energy flux ('je') moments are produced by integrating EESA measurements over all energies above 70 eV
up to the EESA detector limit (30 keV), and over all pitch angles within the earthward portion of the loss cone (see references). 

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EXPLANATION OF DATAFRAME COLUMNS
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'j'               : units of #/cm^2-s (ALL QUANTITIES ARE POSITIVE, WHERE I HAVE USED THE CONVENTION 'POSITIVE' == 'EARTHWARD')
'je'              : units of mW/m^2   (ALL QUANTITIES ARE POSITIVE, WHERE I HAVE USED THE CONVENTION 'POSITIVE' == 'EARTHWARD')

'jerr'            : units of #/cm^2-s (Number flux uncertainty, calculated using the Gershman et al (2015) method)
'jeerr'           : units of mW/m^2   (Energy flux uncertainty, calculated using the Gershman et al (2015) method)

'orbit'           : FAST orbit number
'alt'             : FAST geodetic altitude, in km. (FAST altitude ranges from ~300-4180 km)
'apexmlt'         : Magnetic local time in Apex-110 coordinates (see Laundal and Richmond (2016))
'apexmlat'        : Magnetic latitude   in Apex-110 coordinates (see Laundal and Richmond (2016))

'shadowRegion110' : Integer indicator of the region of the Earth's shadow that FAST's field-line footpoint at 110-km altitude lands ind.
                    Takes on values [0,1,2], corresponding to ['Umbra','Penumbra','Sunlit']. 
            Calculated by mapping FAST's location to 110-km altitude in Apex coordinates and then following the methodology of Jia et al. (2015).

'mono'    = 0,1,2 : 'not monoenergetic','weak monoenergetic','strict monoenergetic'
'broad'   = 0,1,2 : 'not broadband','weak broadband','strict broadband'
'diffuse' = 0,1   : 'not diffuse','diffuse'

'mono', ' broad', and 'diffuse' follow the Hatch et al. (2016) FAST adaptation of the Newell et al. (2009) classification scheme
*NOTE: I do NOT force 'mono' and 'broad' to be exclusive categories! I consider it fine for precipitation to be identified as both 'broad' and 'mono'

'drop'            : Boolean indicating whether a row should be dropped from the DataFrame

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REFERENCES
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Gershman, D. J., Dorelli, J. C., F.-Viñas, A., & Pollock, C. J. (2015). The calculation of moment uncertainties from velocity distribution functions with random errors. Journal of Geophysical Research A: Space Physics, 120(8), 6633–6645. https://doi.org/10.1002/2014JA020775

Hatch, S. M., Chaston, C. C., & LaBelle, J. (2016). Alfvén wave-driven ionospheric mass outflow and electron precipitation during storms. Journal of Geophysical Research: Space Physics, 121(8), 7828–7846. https://doi.org/10.1002/2016JA022805

Hatch, S. M., Labelle, J., Lotko, W., Chaston, C. C., & Zhang, B. (2017). IMF control of Alfvénic energy transport and deposition at high latitudes. Journal of Geophysical Research: Space Physics, 122(12). https://doi.org/10.1002/2017JA024175

Jia, X., Xu, M., Pan, X., & Mao, X. (2017). Eclipse Prediction Algorithms for Low-Earth-Orbiting Satellites. IEEE Transactions on Aerospace and Electronic Systems, 53(6), 2963–2975. https://doi.org/10.1109/TAES.2017.2722518

Laundal, K. M., & Richmond, A. D. (2016). Magnetic Coordinate Systems. Space Science Reviews, 1–33. https://doi.org/10.1007/s11214-016-0275-y

Newell, P. T., Sotirelis, T., & Wing, S. (2009). Diffuse, monoenergetic, and broadband aurora: The global precipitation budget. Journal of Geophysical Research, 114, A09207. https://doi.org/http://dx.doi.org/10.1029/2009JA014326