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artistools

DOI PyPI - Version License

Supported Python versions Installation and pytest

Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code.

Installation

Requires Python >= 3.13. A free-threaded Python requires version 3.15 or later, e.g. Python 3.15t.

The artistools command can be invoked with uvx artistools (after installing uv), installed globally with uv tool install artistools, or installed into your environment with pip install artistools.

Development (editable installation)

For development, you will need a rust compiler and a clone of the repository:

git clone https://github.com/artis-mcrt/artistools.git
cd artistools

To make a uv virtual environment in the clone, with the development tools, run:

uv sync --all-extras
uv run -- prek install

uv run -- artistools then runs the command of the clone. To make the artistools command available outside the clone, also run uv tool install --editable .[extras].

Alternatively, to avoid uv and install into the system environment with pip:

pip install --group dev --editable .[extras]
prek install

To enable tab completion, run artistools completions. The command detects your shell and gives the steps for it.

Citing artistools

If you use artistools for a paper or a presentation, please cite it. For details, see https://zenodo.org/badge/latestdoi/53433932.

Usage

Run "artistools" (or the short alias "at") at the command-line to get a full list of subcommands, and "artistools --version" to check the installed version. Some common commands are:

  • artistools plotspectra (alias: at spec)
  • artistools plotlightcurves (alias: at lc)
  • artistools plotestimators (alias: at estimators)
  • artistools plotnltepops
  • artistools describe (a summary of a model: its cells, timesteps, output files, and ions)
  • artistools inputmodel describe

Use the -h option to get a list of command-line arguments for each subcommand. Set ARTISTOOLS_TRACEBACK=1 to get the full traceback of an error. Run a command in a model folder, or give the path of the model folder. A command that reads a model takes the model path with -modelpath, e.g. artistools timesteps -modelpath mymodel. Most of these commands also take the model path as the last positional argument, e.g. artistools plotspectra -t 300 mymodel.

The plotted data as text

Each plot command gives the plotted data as a table with a header row and a space between the values. --print_data prints the table to the standard output, and --quiet then hides the progress messages. --write_data writes the same table to a .txt file beside the figure. A value that is not available is nan, and a value or a column name that contains a space has quotes. A written file starts with comment lines that give the artistools version, the time, the working folder, and the command. Thus the file tells how the command made each value. Read it with pl.read_csv(path, separator=" ", comment_prefix="#", null_values="nan"), or with comment="#" in pandas. For example, this command writes the electron temperature against the velocity at 300 days to a file:

artistools plotestimators Te -t 300 mymodel --print_data --quiet > te.txt

A plot can give more than one table, because a series with its own grid needs its own table. Examples are a reference spectrum in <figure>_references.txt, a model with a different wavelength grid in <figure>_grid2.txt, and the statistics and the curves of a residual panel in <figure>_residuals.txt and <figure>_residualcurves.txt. On the standard output, an empty line separates two tables.

A model on a different host

These commands accept a model path of the form host:path, where host is a name that ssh knows:

  • plotestimators and its --interactive viewer;
  • plotlightcurves and its --interactive viewer;
  • plotspectra and its --interactive viewer;
  • at.scan_estimators in a Python script.
artistools plotspectra -t 300 vae26:~/scratch/mymodel

The rule of rsync decides whether a path is remote: a colon before the first slash makes a remote path. A local folder with such a colon in its name needs "./" at the start, e.g. ./model:2.

artistools starts the server on that host through ssh, and it prints the command and the reason for it. A release of artistools starts uvx artistools@<version> server, with the versions of the local artistools and polars. Thus the host needs only uv.

The server and the client must have the same server protocol, which is a number. It changes when a reader changes its arguments or its results, or when the format of a message changes. A clone with the server protocol of the release also starts the release. A clone with a different server protocol starts its git commit with uvx. The host then also needs git and Rust. The host cannot get a commit that is only in the clone, thus such a commit must have the server protocol of the release.

The server protocol does not change when the code of a reader changes. Thus a release on the host can give a different result from the clone. If the package files of the clone differ from the release, artistools prints a warning with the number of these files and the name of one file. The warning also gives the command that starts the git commit on the host.

The command sets POLARS_MAX_THREADS=16, because a login node can have hundreds of cores, and other users share them. The server reads the files and makes the data of each plot, e.g. it puts the packets into bins. Only the data to draw comes back, and the parquet caches stay beside the data on the host. A script sends the filter and the columns of each query to the host, and only the rows of the query come back.

An option that reads its files on the local host stops with an error. To start the server with a different command on the host, e.g. an artistools in a clone, set ARTISTOOLS_REMOTE_COMMAND:

export ARTISTOOLS_REMOTE_COMMAND='POLARS_MAX_THREADS=16 ~/artistools/.venv/bin/artistools server'

The environment of such a command must have the same version of polars as the client. The filter of a query goes to the host as a polars expression, and the format of an expression changes between two versions. If the versions differ, the client stops with an error that gives the uvx option.

Use from Python

artistools is mainly a set of commands, but a script or a notebook can call the same functions. import artistools as at gives a small set of names at the top level. Each package holds the other names, e.g. at.spectra and at.inputmodel.

from pathlib import Path

import artistools as at
import polars as pl

modelpath = Path("mymodel")
dfmodel, modelmeta = at.get_modeldata(modelpath)
times_days = at.get_timestep_times(modelpath, loc="mid")
dftemperature = at.scan_estimators(modelpath).filter(pl.col("timestep") == 40).select("modelgridindex", "Te").collect()
dfspectrum = at.spectra.get_spectra(modelpath, timestepmin=40, timestepmax=45)[-1].collect()

A function with the prefix scan_ returns a polars LazyFrame, or one LazyFrame for each direction bin, and reads nothing until .collect(). A function with the prefix read_ reads at once. A function with the prefix get_ can do either, and the tables below say which one returns a LazyFrame. The direction bin -1 is the average over all directions.

Names at the top level

Name Purpose
at.get_modeldata Read model.txt. Return the cells as a LazyFrame, and the model parameters as a dictionary.
at.add_derived_cols_to_modeldata Add columns that follow from the model file, e.g. the volume and the mass of each cell.
at.get_inputparams Return the parameters of input.txt.
at.get_model_name Return the name of the model that holds a path.
at.get_nprocs Return the number of MPI processes of the run.
at.get_timestep_times Return the time in days of each timestep (loc is "start", "mid", "end", or "delta").
at.get_timestep_of_timedays Return the timestep that holds a time in days.
at.scan_estimators Read the estimators of a full run as a LazyFrame, with a row for each timestep and cell.
at.get_deposition Return deposition.out as a LazyFrame.
at.get_composition_data Return the elements and the ion stages of compositiondata.txt as a DataFrame.
at.get_ionstring Return a text such as Fe II for an atomic number and an ion stage.
at.get_ion_tuple Return (26, 2) for a text such as FeII, Fe II, or 26_2.
at.get_elsymbol Return the element symbol of an atomic number.
at.get_atomic_number Return the atomic number of an element symbol.
at.get_z_a_nucname Return the atomic number and the mass number of a text such as Pb208.
at.decode_roman_numeral Return the integer of a Roman numeral.
at.get_path Return a known path by name, e.g. the package folder.
at.firstexisting Return the first file of a list that exists, with a compressed copy as an alternative.
at.zopen Open a file, or its .zst, .gz, or .xz copy.

Main readers in the packages

Name Purpose
at.estimators.read_estimators Read the estimators of a few cells into a dictionary. This is slow for many cells, thus prefer at.scan_estimators.
at.spectra.get_spectra Return a dictionary with a LazyFrame of the spectrum of each direction bin, as an average over a range of timesteps.
at.spectra.get_from_packets Return a dictionary with a LazyFrame of the spectrum of each direction bin from the packets files, for a range of arrival times.
at.lightcurve.scan_lightcurve Read a light curve file. Return one LazyFrame for each direction bin.
at.lightcurve.get_from_packets Return a dictionary with a LazyFrame of the luminosity against time of each direction bin, from the packets files.
at.packets.get_packets Return the number of ranks and a LazyFrame of the packets of a run.
at.nltepops.read_nltepops Read the NLTE populations of a timestep and of one or more cells.
at.atomic.get_levels Return the energy levels of each ion, with the transitions as an option.
at.inputmodel.save_modeldata Write model.txt.zst from a dataframe of the cells.
at.plottools.set_mpl_style Apply the matplotlib style of artistools.

The command of a package

A package that has a plot command gives it as plot, e.g. at.spectra.plot, at.lightcurve.plot, at.estimators.plot, at.nltepops.plot, at.packets.plot, at.nonthermal.plot, and at.gsinetwork.plot. This function is the command itself. Each keyword is one command-line argument, and argsraw gives more arguments as text, e.g. argsraw=["-t", "300"]:

at.spectra.plot(argsraw=[], specpath=[modelpath], timedays="300", outputfile="spectrum.pdf")

Use with an LLM agent

artistools contains a skill for a large language model (LLM) agent, e.g. Claude Code. The skill tells the agent how to use artistools to answer a question about a model. An example is "What is the range of Te at 10 days?". This command installs the skill for Claude Code:

artistools installskill

The command makes a link in ~/.claude/skills to the skill in the installed package. Thus an update of artistools also updates the skill. If the environment variable CLAUDE_CONFIG_DIR has a value, the command uses $CLAUDE_CONFIG_DIR/skills. If artistools runs from the uv cache, e.g. with uvx, the command stops and makes no link, because uv can delete its cache. In that case, install artistools with uv tool install artistools, or give --copy.

For Codex, Cursor, or OpenCode, give -layout agents. The command then makes the link in ~/.agents/skills. For a different agent, give its skills folder with -skillsdir.

Start a new session of the agent after the installation. Then ask a question about a model. In Claude Code, you can also type /artis-data. In Codex, you can also type $artis-data.

Example output

Emission plot NLTE plot Estimator plot

License

Distributed under the MIT license. See LICENSE for more information.

https://github.com/artis-mcrt/artistools

Metadata

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