Simulating quantum oscillations
Project description
QuOsc
Developed within Quantum matter in high magnetic fields group at University of Oxford, Department of Physics.
QuOsc is a python package for simulating quantum oscillations in torque magnetometry. It performs the following steps:
- Read the
interpolation.bt2file generated by BoltzTraP2, to read the interpolated band structure and generate the Fermi surface. - For each magnetic field direction, find the extremal cross-sections of the Fermi surface.
- For the extremal cross-sections, calculate the quantum oscillation frequencies, effective masses, and other relevant parameters.
- 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-0.3.0.tar.gz
(19.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
quosc-0.3.0-py3-none-any.whl
(22.7 kB
view details)
File details
Details for the file quosc-0.3.0.tar.gz.
File metadata
- Download URL: quosc-0.3.0.tar.gz
- Upload date:
- Size: 19.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5a09c1166ccfa4a26b42c43ed8f4bdbbdffa0310402e0d2c0bddbaa762668419
|
|
| MD5 |
ad2824b043f6b685d34bdcad3a4f59d2
|
|
| BLAKE2b-256 |
f91b3a67dd1479779d6ff54684376225e606d4a06f823c90652bea6a2eda2609
|
File details
Details for the file quosc-0.3.0-py3-none-any.whl.
File metadata
- Download URL: quosc-0.3.0-py3-none-any.whl
- Upload date:
- Size: 22.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3e423aec186de7c271b5c56a0a064146ae89a0b48e9ef7980fb1cb5e9e32879a
|
|
| MD5 |
59c299d38fd2500c082e4ddea8fb9cc7
|
|
| BLAKE2b-256 |
5632139c0e25c135441d8b9f13c381cb952b2e430d143f5d28747fee221a81ac
|