Metadata-Version: 2.1
Name: particle
Version: 0.20.1
Summary: Extended PDG particle data and MC identification codes
Home-page: https://github.com/scikit-hep/particle
Author: Eduardo Rodrigues
Author-email: eduardo.rodrigues@cern.ch
Maintainer: The Scikit-HEP admins
Maintainer-email: scikit-hep-admins@googlegroups.com
License: BSD-3-Clause
Keywords: HEP,PDG,PDGID,particle,particle properties,particle data table,MC identification codes
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Provides-Extra: all
Provides-Extra: dev
Provides-Extra: test
License-File: LICENSE

.. image:: https://github.com/scikit-hep/particle/raw/master/docs/ParticleLogo300.png
    :target: https://github.com/scikit-hep/particle


``Particle``: PDG particle data and identification codes
========================================================

|Scikit-HEP| |PyPI version| |Conda-forge version| |Zenodo DOI|

|GitHub Actions Status: CI| |Code Coverage| |Code style: black|

|Binder|


Particle provides a pythonic interface to the `Particle Data Group <http://pdg.lbl.gov/>`_ (PDG)
particle data tables and particle identification codes,
with extended particle information and extra goodies.

The PDG defines the standard particle identification (ID) numbering scheme.
The package provides the ``PDGID`` class implementing queries on those PDG IDs.
The queries are also accessible through free standing functions mimicking,
and expanding from, the HepPID/HepPDT C++ interface.

The ``Particle`` class wraps the information in the PDG particle data tables and
provides an object-oriented interface and powerful search and look-up utilities.


Installation
------------

Install ``particle`` like any other Python package:

.. code-block:: bash

    python -m pip install particle

or similar (use ``--user``, ``virtualenv``, etc. if you wish).


Strict dependencies
-------------------

- `Python <http://docs.python-guide.org/en/latest/starting/installation/>`_ (3.6+)
- `importlib_resources backport <http://importlib-resources.readthedocs.io/en/latest/>`_ if using Python < 3.9
- `attrs <http://www.attrs.org/en/stable/>`_ provides classes without boilerplate (similar to DataClasses in Python 3.7)
- `hepunits <https://github.com/scikit-hep/hepunits>`_ provides units for the Scikit-HEP packages


Changelog
---------

See the `changelog <https://github.com/scikit-hep/particle/blob/master/docs/CHANGELOG.md>`__ for a history of notable changes.


Getting started: PDG IDs
------------------------

.. code-block:: python

    >>> from particle import PDGID
    >>>
    >>> pid = PDGID(211)
    >>> pid
    <PDGID: 211>
    >>> pid.is_meson
    True
    >>> pid = PDGID(99999999)
    >>> pid
    <PDGID: 99999999 (is_valid==False)>

For convenience, all properties of the ``PDGID`` class are available as standalone functions that work on any SupportsInt (including ``Particle``):

.. code-block:: python

    >>> from particle.pdgid import is_meson
    >>>
    >>> is_meson(211)
    True

These composable functions qualifying PDG IDs make it easy to classify particles.
For the sake of example, quarkonia can be specified with the following user-defined functions:

.. code-block:: python

    >>> is_heavy_flavor = lambda x: has_charm(x) or has_bottom(x) or has_top(x)
    >>> is_quarkonium = lambda x: is_meson(x) and three_charge(x)==0 and is_heavy_flavor(x).

PDG ID literals provide (``PDGID`` class) aliases for all particles loaded, with easily recognisable names.
For example:

.. code-block:: python

    >>> from particle.pdgid import literals as lid
    >>>
    >>> lid.pi_plus
    <PDGID: 211>
    >>>
    >>> from particle.pdgid.literals import Lambda_b_0
    >>> Lambda_b_0
    <PDGID: 5122>
    >>> Lambda_b_0.has_bottom
    True

You can quickly display ``PDGID`` info from the command line with:

.. code-block:: bash

    $ python -m particle pdgid 323
    <PDGID: 323>
    A              None
    J              1.0
    L              0
    S              1
    Z              None
    abspid         323
    charge         1.0
    has_bottom     False
    ...


Similarly, classes exist to express identification codes used by MC programs,
see information on converters below.


Getting started: Particles
--------------------------

You can use a variety of methods to get particles. If you know the PDG ID number
or, say, the name used in EvtGen, you can get a particle directly.

.. code-block:: python

    >>> from particle import Particle
    >>> Particle.from_pdgid(211)
    <Particle: name="pi+", pdgid=211, mass=139.57039 ± 0.00018 MeV>
    >>>
    >>> Particle.from_evtgen_name("J/psi")
    <Particle: name="J/psi(1S)", pdgid=443, mass=3096.900 ± 0.006 MeV>

A similar method exists to get a list of particles from a PDG style name:

.. code-block:: python

    >>> Particle.findall(pdg_name="pi")

returns the list of matching particles whose PDG name is "pi",
which in this case comprises the three charged states of the pseudoscalar pion.

Else, and more generally, you can use a search. A basic example is the following:

.. code-block:: python

    >>> next(Particle.finditer('pi'))  # first item in iterator of particles
    <Particle: name="pi0", pdgid=111, mass=134.9768 ± 0.0005 MeV>
    >>>
    >>> Particle.findall('pi')[0]  # Same as above but returning a list of particles
    <Particle: name="pi0", pdgid=111, mass=134.9768 ± 0.0005 MeV>

You can search for the properties using keyword arguments, which include
``pdg_name``, ``name``, ``mass``, ``width``, ``charge``, ``three_charge``, ``anti_flag``, ``rank``,
``I``, ``J``, ``G``, ``P``, ``quarks``, ``status``,
``mass_upper``, ``mass_lower``, ``width_upper``, and ``width_lower``.
You can pass a callable or an exact match for any property.
The argument ``particle`` can be set to ``True``/``False``, as well,
to limit the search to particles or antiparticles.

You can also build the search yourself with the first positional
argument, which accepts a callable that is given the particle object itself.
If the first positional argument is a string, that will match against the
particle's ``name``.

Here are possible sophisticated searches, all of which work with either
``Particle.findall`` or ``Particle.finditer``, where the former method provides a list
whereas the latter returns an iterator.

.. code-block:: python

    >>> # Print out all particles with asymmetric decay width uncertainties
    >>> ps = Particle.finditer(lambda p: p.width_lower != p.width_upper)
    >>> for p in ps:
    ...     print(p.name, p.pdgid, p.width_lower, p.width_upper)
    >>>
    >>> # Find all antiparticles with 'Omega' in the name
    >>> Particle.finditer('Omega', particle=False)   # several found
    >>>
    >>> # Find all antiparticles of name=='Omega'
    >>> Particle.finditer(name='Omega', particle=False)  # none found
    >>>
    >>> # Find all antiparticles of pdg_name=='Omega'
    >>> Particle.findall(pdg_name='Omega', particle=False)  # only 1, of course
    [<Particle: name="Omega~+", pdgid=-3334, mass=1672.5 ± 0.3 MeV>]
    >>>
    >>> # Find all neutral beauty hadrons
    >>> Particle.findall(lambda p: p.pdgid.has_bottom and p.charge==0)
    >>>
    >>> # Find all strange mesons with c*tau > 1 meter
    >>> from hepunits import meter
    >>> Particle.findall(lambda p: p.pdgid.is_meson and p.pdgid.has_strange and p.ctau > 1 * meter, particle=True)
    [<Particle: name="K(L)0", pdgid=130, mass=497.611 ± 0.013 MeV>,
     <Particle: name="K+", pdgid=321, mass=493.677 ± 0.016 MeV>]

Once you have a particle, any of the properties can be accessed, along with several methods.
Though they are not real properties, you can access ``is_name_barred``, and ``spin_type``.
You can also ``.invert()`` a particle.

There are lots of printing choices for particles:
``describe()``, ``programmatic_name``, ``latex_name``, ``html_name``, HTML printing outs in notebooks,
and of course ``repr`` and ``str`` support.

You can get the ``.pdgid`` from a particle, as well.
Sorting particles will put lowest ``abs(PDGID)`` first.


Particle literals provide (``Particle`` class) aliases for the particles loaded,
with easily recognisable names. For example:

.. code-block:: python

    >>> from particle import literals as lp
    >>> lp.pi_plus
    <Particle: name="pi+", pdgid=211, mass=139.57061 ± 0.00024 MeV>
    >>>
    >>> from particle.literals import Lambda_b_0
    >>> Lambda_b_0
    <Particle: name="Lambda(b)0", pdgid=5122, mass=5619.60 ± 0.17 MeV>
    >>> Lambda_b_0.J
    0.5

You can quickly search for particles from the command line with
(note: quotes may be used/needed but only double quotes work as expected on Windows):

.. code-block:: bash

    $ python -m particle search "K*0"
    <Particle: name="K*(892)0", pdgid=313, mass=895.55 ± 0.20 MeV>
    <Particle: name="K*(1680)0", pdgid=30313, mass=1718 ± 18 MeV>
    <Particle: name="K*(1410)0", pdgid=100313, mass=1421 ± 9 MeV>

If you only select one particle, either by a search or by giving the PDG ID number,
you can see more information about the particle:

.. code-block:: bash

    $ python -m particle search 311
    Name: K0             ID: 311          Latex: $K^{0}$
    Mass  = 497.611 ± 0.013 MeV
    Width = -1.0 MeV
    Q (charge)        = 0       J (total angular) = 0.0      P (space parity) = -
    C (charge parity) = ?       I (isospin)       = 1/2      G (G-parity)     = ?
        SpinType: SpinType.PseudoScalar
        Quarks: dS
        Antiparticle name: K~0 (antiparticle status: Barred)


Advanced: Loading custom tables
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

You can control the particle data tables if you so desire. You can append a new data table using the following syntax:

.. code-block:: python

    >>> from particle import Particle
    >>> Particle.load_table('new_particles.csv', append=True)

You can also replace the particle table entirely with ``append=False`` (the default).

If you want a non-default data file distributed with the package just proceed as follows:

.. code-block:: python

    >>> from particle import data
    >>> Particle.load_table(data.basepath / "particle2018.csv"))
    >>> Particle.load_table(data.basepath / "nuclei2020.csv"), append=True)  # I still want nuclei info
    >>> Particle.table_names()  # list the loaded tables


Advanced: Conversion
^^^^^^^^^^^^^^^^^^^^

You can convert and update the particle tables with the utilities in ``particle.particle.convert``. This requires the
``pandas`` package, and is only tested with Python 3. Run the following command for more help:

.. code-block:: bash

    $ python3 -m particle.particle.convert --help


Getting started: Converters
---------------------------

You can use mapping classes to convert between particle MC identification codes
and particle names. See the ``particle.converters`` modules for the available
mapping classes. For example:

.. code-block:: python

    >>> from particle.converters import Pythia2PDGIDBiMap
    >>> from particle import PDGID, PythiaID
    >>>
    >>> pyid = Pythia2PDGIDBiMap[PDGID(9010221)]
    >>> pyid
    <PythiaID: 10221>

    >>> pdgid = Pythia2PDGIDBiMap[PythiaID(10221)]
    >>> pdgid
    <PDGID: 9010221>

This code makes use of classes similar to ``PDGID``, which hold
particle identification codes used by MC programs.
Possible use cases are the following:

.. code-block:: python

    >>> from particle import Particle
    >>> from particle import Geant3ID, PythiaID
    >>>
    >>> g3id = Geant3ID(8)
    >>> p = Particle.from_pdgid(g3id.to_pdgid())
    >>>
    >>> (p,) = Particle.finditer(pdgid=g3id.to_pdgid())  # syntax (p,) throws an error if < 1 or > 1 particle is found
    >>> p.name
    'pi+'

    >>> pythiaid = PythiaID(211)
    >>> p = Particle.from_pdgid(pythiaid.to_pdgid())

    >>> (p,) = Particle.finditer(pdgid=pythiaid.to_pdgid())
    >>> p.name
    'pi+'


Getting started: experiment-specific modules
--------------------------------------------

Experiment-specific submodules are welcome if they tie in nicely with the functionality of the package while prodiving
add-ons of particular relevance to experiments.

LHCb-specific module
^^^^^^^^^^^^^^^^^^^^

Available via

.. code-block:: python

    >>> from particle import lhcb

it contains the following converter and functions:

.. code-block:: python

    >>> dir(lhcb)
    ['LHCbName2PDGIDBiMap', 'from_lhcb_name', 'to_lhcb_name']


.. code-block:: python

    >>> n, e, l = Particle.from_pdgid(-531).name, Particle.from_pdgid(531).evtgen_name, lhcb.to_lhcb_name(Particle.from_pdgid(-531))
    >>> print(f"Name: {n}\nEvtGen name: {e}\nLHCb name: {l}")
    Name: B(s)~0
    EvtGen name: B_s0
    LHCb name: B_s~0

    >>> p = Particle.from_pdgid(-531)
    >>> p
    <Particle: name="B(s)~0", pdgid=-531, mass=5366.88 ± 0.14 MeV>
    >>>to_lhcb_name(p)
    'B_s~0'


Conversions PDG ID <-> LHCb name are available via a predefined bidirectional map
similarly to what is available in the standard (i.e. non-experiment-specific) converters:

.. code-block:: python

    >>> name = LHCbName2PDGIDBiMap[PDGID(-531)]
    >>> name
    'B_s~0'

    >>> pdgid = LHCbName2PDGIDBiMap['B_s~0']
    >>> pdgid
    <PDGID: -531>


Acknowledgements
----------------

Support for this work was provided by the National Science Foundation
cooperative agreement OAC-1450377 (DIANA/HEP) and OAC-1836650 (IRIS-HEP).
Any opinions, findings, conclusions or recommendations expressed in this material
are those of the authors and do not necessarily reflect the views of the National Science Foundation.


.. |Scikit-HEP| image:: https://scikit-hep.org/assets/images/Scikit--HEP-Project-blue.svg
   :target: https://scikit-hep.org

.. |PyPI version| image:: https://img.shields.io/pypi/v/particle.svg
   :target: https://pypi.python.org/pypi/particle

.. |Conda-forge version| image:: https://img.shields.io/conda/vn/conda-forge/particle.svg
   :target: https://anaconda.org/conda-forge/particle

.. |Zenodo DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.2552429.svg
   :target: https://doi.org/10.5281/zenodo.2552429

.. |GitHub Actions Status: CI| image:: https://github.com/scikit-hep/particle/workflows/CI/badge.svg
   :target: https://github.com/scikit-hep/particle/actions

.. |Code Coverage| image:: https://codecov.io/gh/scikit-hep/particle/graph/badge.svg?branch=master
   :target: https://codecov.io/gh/scikit-hep/particle?branch=master

.. |Code style: black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black

.. |Binder| image:: https://mybinder.org/badge_logo.svg
   :target: https://mybinder.org/v2/gh/scikit-hep/particle/master?urlpath=lab/tree/notebooks/ParticleDemo.ipynb


