JAX-based package for estimating the information lost due to Monte Carlo approximations in GW population inference.
Project description
population-error
jax-based python package for computing error in Monte Carlo approximate population inference
Attribution
Please cite Heinzel and Vitale (2025) if you use population-error in your research.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
population_error-0.2.2.tar.gz
(22.3 MB
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
File details
Details for the file population_error-0.2.2.tar.gz.
File metadata
- Download URL: population_error-0.2.2.tar.gz
- Upload date:
- Size: 22.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5e0d0fa8d55aab0e9438959499c9dddf57721177db381fa7c8d254e77901a83d
|
|
| MD5 |
664d807a2000d691402c70181e3d5cf5
|
|
| BLAKE2b-256 |
566ab43f4756a9028c4aedb6be726cfec41ba4ade0fad2bc96e620d920c253ba
|
File details
Details for the file population_error-0.2.2-py3-none-any.whl.
File metadata
- Download URL: population_error-0.2.2-py3-none-any.whl
- Upload date:
- Size: 8.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1088a3d09c402139c63d51235aa1681e89bd2073e106729db73bab0794ec5df1
|
|
| MD5 |
a69ec9a2af1569f68ba818a7817de430
|
|
| BLAKE2b-256 |
2ab102a1e591abd40d4665de8bba029ffdf249d696825eb8e5fc2dfaf20909dc
|
