Skip to main content

Simulating quantum oscillations

Project description

QuOsc

QuOsc is a python package for simulating quantum oscillations in torque magnetometry. It performs the following steps:

  1. Read the interpolation.bt2 file generated by BoltzTraP2, to read the interpolated band structure and generate the Fermi surface.
  2. For each magnetic field direction, find the extremal cross-sections of the Fermi surface.
  3. For the extremal cross-sections, calculate the quantum oscillation frequencies, effective masses, and other relevant parameters.
  4. Use the calculated parameters to simulate the quantum oscillations in torque magnetometry and take FFT to extract the quantum oscillation frequencies.

Installation

To install QuOsc, run the following command:

pip install quosc

Usage

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

quosc-0.2.0.tar.gz (19.4 kB view details)

Uploaded Source

Built Distribution

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

quosc-0.2.0-py3-none-any.whl (22.6 kB view details)

Uploaded Python 3

File details

Details for the file quosc-0.2.0.tar.gz.

File metadata

  • Download URL: quosc-0.2.0.tar.gz
  • Upload date:
  • Size: 19.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for quosc-0.2.0.tar.gz
Algorithm Hash digest
SHA256 548cb524953dae234e48ea49d19bf40906d63b24c2cab8dc5b2ec406ad6ecee1
MD5 4715a58f362b6ad400ae96424f7f7a77
BLAKE2b-256 708ea7b1d129d0627edd3d240b78bdef0bc77cd95c9d01b124ff47f2ede36560

See more details on using hashes here.

File details

Details for the file quosc-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: quosc-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 22.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for quosc-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ca0fb4c86ee0ba4474f3b09b8204d334756d3d7638b701f077cbc753ba4daaa7
MD5 034ddc6ecb15e5e195501a8896d0ad66
BLAKE2b-256 60baddded0a67024df4d9ea0c81ba2374a0d0e5f25a0b617eb2ffe7940a49f9c

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