Skip to main content

symphon: use phonopy to find the irreducible representations of the phonon modes from anaddb output. It is a simple wrapper of the Phonopy irreps module.

Project description

symphon

A simple wrapper of the phonopy irreps module for finding irreducible representations of phonon modes in ABINIT's anaddb output.

Features

  • Automatic high-symmetry analysis: Analyzes all high-symmetry k-points (GM, X, M, R, etc.) automatically
  • Dual-label display at Gamma: Shows both Mulliken (T1u, Eg, etc.) and BCS (GM4-, GM5+, etc.) notation side-by-side
  • Spectroscopic activity: Identifies IR- and Raman-active modes at Γ point
  • Multiple input formats: Supports both anaddb PHBST NetCDF files and phonopy params/YAML files
  • CLI and Python API: Flexible usage through command-line tools or Python functions
  • Complete symmetry information: Reports both space group and point group for the crystal

Installation

Basic Installation

Install from PyPI:

pip install symphon

Optional Dependencies

For non-Gamma phonons (k-points other than Γ), install with the irrep backend:

pip install "symphon[irrep]"

For ABINIT support (reading PHBST NetCDF files), install with the abipy optional dependency:

pip install "symphon[abipy]"

To install all optional dependencies:

pip install "symphon[irrep,abipy]"

Documentation

Quick Start

Python API

from symphon import print_irreps_phonopy

# Analyze any q-point (backend auto-selected)
print_irreps_phonopy("phonopy_params.yaml", qpoint=[0, 0, 0])  # Gamma
print_irreps_phonopy("phonopy_params.yaml", qpoint=[0.5, 0.5, 0])  # M point

Command Line

Unified CLI (symphon)

All functionality is available through the unified symphon CLI:

# Phonon irreps from phonopy (auto-discovers all high-symmetry k-points)
symphon phonopy-irreps --params phonopy_params.yaml

# Phonon irreps from anaddb (auto-discovers high-symmetry q-points)
symphon anaddb-irreps --phbst run_PHBST.nc

# With chiral transition analysis
symphon phonopy-irreps --params phonopy_params.yaml --chiral

# Find chiral phase transitions from space groups
symphon find-chiral-transition --sg 136

# Magnetic chirality analysis
symphon magnetic-chiral --structure POSCAR --qpoint 0 0 0.5 --mag-sites 0,1
symphon abstract-magnetic --spg 221 --qpoint 0 0 0
symphon msg 18.16

phonopy-irreps (Auto-discovery mode)

# Analyze all high-symmetry k-points automatically
symphon phonopy-irreps --params phonopy_params.yaml

# Output shows all high-symmetry points:
# - GM point: dual labels (Mulliken + BCS) + IR/Raman activity
# - Other points (M, R, X, etc.): BCS labels

anaddb-irreps (Auto-discovery or manual mode)

# Auto-discover all high-symmetry q-points (using standalone command)
anaddb-irreps --phbst run_PHBST.nc

# Or using unified CLI
symphon anaddb-irreps --phbst run_PHBST.nc

# Or analyze specific q-point (0-based index)
symphon anaddb-irreps --phbst run_PHBST.nc --q-index 0

Output Examples

Automatic high-symmetry analysis (phonopy-irreps)

When you run phonopy-irreps --params phonopy_params.yaml, it automatically:

  1. Discovers all high-symmetry k-points from the space group
  2. Shows dual labels (Mulliken + BCS) at Gamma point with IR/Raman activity
  3. Shows BCS labels for other high-symmetry points
Space group: Pm-3m
Found 4 high-symmetry points:
  GM: k=(0.0, 0.0, 0.0)
  M: k=(0.5, 0.5, 0.0)
  R: k=(0.5, 0.5, 0.5)
  X: k=(0.0, 0.5, 0.0)

# GM point (k=(0.0, 0.0, 0.0))
============================================================
q-point: [0.0000, 0.0000, 0.0000]
Space group: Pm-3m
Point group: m-3m

# qx      qy      qz      band  freq(THz)   freq(cm-1)   label(M)   label(BCS)  IR  Raman
 0.0000  0.0000  0.0000     0     -6.0487      -201.76  T1u         GM4-         Y    .  
 0.0000  0.0000  0.0000     9      8.5335       284.65  T2u         GM5-         .    .  

# X point (k=(0.0, 0.5, 0.0))
============================================================
q-point: [0.0000, 0.5000, 0.0000]
Space group: Pm-3m
Point group: m-3m

# qx      qy      qz      band  freq(THz)   freq(cm-1)   label
 0.0000  0.5000  0.0000     0     -4.8804      -162.79  X5+
 0.0000  0.5000  0.0000     2      3.3171       110.65  X5-

Examples

See examples/1_basic_anaddb/MoS2_1T/ for a complete working example with MoS2 1T structure using anaddb output.

See docs/irreps_guide.md for BaTiO3 examples demonstrating both Gamma and non-Gamma point analysis.

Technical Notes

Symmetry Precision

The symprec parameter controls tolerance for symmetry detection and atom mapping:

  • Default: 1e-5 (standard phonopy default)
  • Both Gamma-point and non-Gamma analysis use the same symprec value consistently
  • For low-symmetry or distorted structures, increase symprec (e.g., 1e-2 or 1e-3)

License

BSD-2-clause

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

symphon-0.2.4.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

symphon-0.2.4-py3-none-any.whl (72.5 kB view details)

Uploaded Python 3

File details

Details for the file symphon-0.2.4.tar.gz.

File metadata

  • Download URL: symphon-0.2.4.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for symphon-0.2.4.tar.gz
Algorithm Hash digest
SHA256 d8b406f8e43ab6b0e12f22f4b7d138855ddedcd2e4f8598fa9ca206bf987e018
MD5 558a7916b561bed2327cce6c7cdab7ae
BLAKE2b-256 950afe387c40afaa8cbbffaf9e0c0423aab540346ecabc1bf2d8daa467b923da

See more details on using hashes here.

File details

Details for the file symphon-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: symphon-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 72.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for symphon-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 304ba3c8188e203d4579f31633597ce1628d1ae733c30970164b531a03d30282
MD5 43adb4e619654ecfc104dc410bad8055
BLAKE2b-256 973c73e713d59b6e365767a4df919d064e84e1bb8af436ff417606d6d98acb44

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page