Python wrapper

A Python wrapper has been developed and released to be able to make some quick plots and take a look at the results easily.

It consists on calling a compiled Fortran program, so the performance is far from good. Take that into account when using this Python wrapper.

Installation of the Python package

System requirements (same as Fortran modules + the python part):

To install the package, go to src/swami and execute in bash make_wrapper.sh. It will generate a swami.x executable.

If you are using Ubuntu 18.04 64bits, the executable included in the distributed version should work.

Once that is done, install the python package in a virtual environment or in your preferred python distribution.

python3 setup.py sdist
pip install swami-1.0.tar.gz

Python interface

class swami.MCMOutput(dens, temp, wmm, d_H, d_He, d_O, d_N2, d_O2, d_N, tinf, dens_unc, dens_std, temp_std, xwind, ywind, xwind_std, ywind_std, alti, lati, longi, loct, doy, f107, f107m, kp1, kp2)[source]
dens: float

Alias for field number 0

temp: float

Alias for field number 1

wmm: float

Alias for field number 2

d_H: float

Alias for field number 3

d_He: float

Alias for field number 4

d_O: float

Alias for field number 5

d_N2: float

Alias for field number 6

d_O2: float

Alias for field number 7

d_N: float

Alias for field number 8

tinf: float

Alias for field number 9

dens_unc: float

Alias for field number 10

dens_std: float

Alias for field number 11

temp_std: float

Alias for field number 12

xwind: float

Alias for field number 13

ywind: float

Alias for field number 14

xwind_std: float

Alias for field number 15

ywind_std: float

Alias for field number 16

alti: float

Alias for field number 17

lati: float

Alias for field number 18

longi: float

Alias for field number 19

loct: float

Alias for field number 20

doy: float

Alias for field number 21

f107: float

Alias for field number 22

f107m: float

Alias for field number 23

kp1: float

Alias for field number 24

kp2: float

Alias for field number 25

class swami.MCM(exec_swami: PathLike = None, path_to_data: PathLike = None)[source]

MCM Model wrapper.

Parameters:

  • exec_swami (os.PathLike, optional) – Path to the executable. Defaults to the one included.

  • path_to_data (os.PathLike, optional) – Path to the data. Defaults to the included package.

run(altitude: float, day_of_year: float, local_time: float, latitude: float, longitude: float, f107: float, f107m: float, kp1: float, kp2: float, get_uncertainty: bool = False, get_winds: bool = False) → MCMOutput[source]

Run the model

Returns a MCMOutput object with the results as attributes.

Parameters:

  • altitude (float) – Altitude in km

  • day_of_year (float) – Day of the year [0-366]

  • local_time (float) – Local time, h [0-24]

  • latitude (float) – Latitude, deg [-90 to 90]

  • longitude (float) – Longitude, deg [0-360]

  • f107 (float) – F10.7, instantaneous flux at (t - 24hr)

  • f107m (float) – F10.7, average of the last 81 days

  • kp1 (float) – Kp, delayed by 3 hours

  • kp2 (float) – Kp, mean of previous 24 hours

  • get_uncertainty (bool, optional) – Uncertainties will be returned. Defaults to False.

  • get_winds (bool, optional) – Winds will be returned. Defaults to False.

Returns:

NamedTuple with the results

Return type:

MCMOutput