nonos

nonos is a 2D visualization command line application for planet-disk numerical simulations, as well as a Python library. It works with vtk-formatted data from Pluto and Idefix, and dat-formatted data for Fargo-adsg and Fargo3D.

Data Formats

We list here the accepted formats for the data:
Pluto and Idefix: data.****.vtk
Fargo-adsg: gasdens.dat, gasvy*.dat, gasvx*.dat
Fargo3D: same as Fargo-adsg + gasvz*.dat

:construction: This project and documentation are under construction :construction:

Ongoing progress

• spherical coordinates
• nonos' api

Installation

:warning: Nonos requires Python 3.8 or newer. The easiest installation method is

$ pip install nonos

Usage

On the command line

The nonos CLI gets its parameters from three sources:

• command line parameters
• a configuration file
• default values

Command line parameters take priority over the configuration file, which itself takes priority over default values.

To get help, run

$ nonos --help

usage: nonos [-h] [-dir DATADIR] [-field {RHO,VX1,VX2,VX3,BX1,BX2,BX3,PRS}] [-geometry {polar,cylindrical,spherical,cartesian}]
              [-operation {vm,vp,vz,lt,lp,aa,ap,apl,rr} [{vm,vp,vz,lt,lp,aa,ap,apl,rr} ...]] [-plane PLANE [PLANE ...]] [-range RANGE [RANGE ...]] [-vmin VMIN] [-vmax VMAX]
              [-theta THETA] [-z Z] [-phi PHI] [-distance DISTANCE] [-cpu NCPU] [-on ON [ON ...] | -all] [-diff] [-log] [-corotate COROTATE] [-pbar] [-scaling SCALING]
              [-cmap CMAP] [-title TITLE] [-fmt FORMAT] [-dpi DPI] [-input INPUT | -isolated] [-d | -version | -logo | -config] [-v]

Analysis tool for idefix/pluto/fargo3d simulations (in polar coordinates).

optional arguments:
  -h, --help            show this help message and exit
  -dir DATADIR          location of output files and param files (default: '.').
  -field {RHO,VX1,VX2,VX3,BX1,BX2,BX3,PRS}
                        name of field to plot (default: 'RHO').
  -geometry {polar,cylindrical,spherical,cartesian}
                        if the geometry of idefix outputs is not recognized (default: 'unset').
  -operation {vm,vp,vz,lt,lp,aa,ap,apl,rr} [{vm,vp,vz,lt,lp,aa,ap,apl,rr} ...]
                        operation to apply to the fild (default: 'unset').
  -plane PLANE [PLANE ...]
                        abscissa and ordinate of the plane of projection (default: 'unset'), example: r phi
  -corotate COROTATE    planet number that defines with which planet the grid corotates.
  -range RANGE [RANGE ...]
                        range of matplotlib window (default: unset), example: x x -2 2
  -vmin VMIN            min value (default: unset)
  -vmax VMAX            max value (default: unset)
  -theta THETA          if latitudinal operation (default: unset)
  -z Z                  if vertical operation (default: unset)
  -phi PHI              if azimuthal operation (default: unset)
  -distance DISTANCE    if radial operation (default: unset)
  -cpu NCPU, -ncpu NCPU
                        number of parallel processes (default: 1).
  -on ON [ON ...]       output number(s) (on) to plot. This can be a single value or a range (start, end, [step]) where both ends are inclusive. (default: last output available).
  -all                  save an image for every available snapshot (this will force show=False).
  -scaling SCALING      scale the overall sizes of features in the graph (fonts, linewidth...) (default: 1).
  -cmap CMAP            choice of colormap for the 2D maps (default: 'RdYlBu_r').
  -title TITLE          name of the field in the colorbar for the 2D maps (default: 'unset').
  -fmt FORMAT, -format FORMAT
                        select output image file format (default: unset)
  -dpi DPI              image file resolution (default: DEFAULTS['dpi'])

boolean flags:
  -diff                 plot the relative perturbation of the field f, i.e. (f-f0)/f0.
  -log                  plot the log10 of the field f, i.e. log(f).
  -pbar                 display a progress bar

CLI-only options:
  -input INPUT, -i INPUT
                        specify a configuration file.
  -isolated             ignore any existing 'nonos.toml' file.
  -d, -display          open a graphic window with the plot (only works with a single image)
  -version, --version   show raw version number and exit
  -logo                 show Nonos logo with version number, and exit.
  -config               show configuration and exit.
  -v, -verbose, --verbose
                        increase output verbosity (-v: info, -vv: debug).

The -operation command allows you to choose what operation is applied to the data, and can be paired with -z, -theta, -phi, or -distance depending on the operation.

• vm: vertical_at_midplane
• vz: vertical_at_z, can be paired with -z to give the altitude at which the vertical slice is performed.
• vp: vertical_projection, can be paired with -z to give the interval of the vertical integral.
• lt: latitudinal_at_theta, can be paired with -theta to give the latitude at which the latitudinal slice is performed.
• lp: latitudinal_projection, can be paired with -theta to give the interval of the latitudinal integral.
• ap: azimuthal_at_phi, can be paired with -phi to give the azimuth at which the azimuthal slice is performed.
• apl: azimuthal_at_planet, has to be paired with -corotate to perform a slice at the planet azimuth.
• aa: azimuthal_average
• rr: radial_at_r, can be paired with -distance to give the distance at which the radial slice is performed. You can cumulate some operations, like lp and aa which will given for example for -field=RHO the gas surface density.

Note that for old idefix outputs, you will need to add the -geometry command to process the data.

Using a configuration file

The CLI will read parameters from a local file named nonos.toml if it exists, or any other name specified using the -i/-input parameter. To ignore any existing nonos.toml file, use the -isolated flag.

One way to configure nonos is to use

$ nonos -config

which prints the current configuration to stdout. You can then redirect it to get a working configuration file as

$ nonos -config > nonos.toml

This method can also be used to store a complete configuration file from command line arguments:

$ nonos -ncpu 8 -cmap viridis -operation vm -diff -vmin=-10 -vmax=+100 -config

As of nonos 0.6.0, this will print

# Generated with nonos 0.6.0
cmap               =  'viridis'
corotate           =  'unset'
datadir            =  '.'
diff               =  true
distance           =  'unset'
dpi                =  200
field              =  'RHO'
format             =  'unset'
geometry           =  'unset'
log                =  false
ncpu               =  8
on                 =  'unset'
operation          =  [  'vm'  ]

phi                =  'unset'
plane              =  'unset'
progressBar        =  false
range              =  'unset'
scaling            =  1
theta              =  'unset'
title              =  'unset'
vmax               =  100.0
vmin               =  -10.0
z                  =  'unset'

Programmatic usage

from nonos.api import GasDataSet
import matplotlib.pyplot as plt

plt.close("all")
# We use GasDataSet which takes as argument the output number of the output file given by idefix/pluto/fargo
# contains in particular a dictionary with the different fields.
ds = GasDataSet(43, geometry="polar", directory="nonos/tests/data/idefix_planet3d")
# We select the GasField "RHO", then
# we perform a vertical slice in the midplane,
# and make the result plotable in the xy plane,
# rotating the grid given the planet number 0
# (which orbit is described in the planet0.dat file).
dsop = ds["RHO"].vertical_at_midplane().map("x", "y", planet_corotation=0)
fig, ax = plt.subplots()
# dsop is now a Plotable object.
# We represent its log10, with a given colormap,
# and we display the colorbar by adding the argument title.
dsop.plot(fig, ax, log=True, cmap="inferno", title=r"$\rho_{\rm mid}$")
ax.set_aspect("equal")

# This time, we perform a latitudinal projection,
# i.e. the integral of "RHO" between -theta and theta,
# and then an azimuthal average,
# before mapping it in the radial ("R") direction.
dsop = ds["RHO"].latitudinal_projection(theta=3*0.05).azimuthal_average().map("R")
fig, ax = plt.subplots()
# We display the y-axis by adding the argument title.
dsop.plot(fig, ax, c="k", title=r"$\Sigma$")
plt.show()