Aperture Masking Interferometry Calibration and Analysis Library
python -m pip install amical
AMICAL cleans aperture masking data, extracts and calibrates the visibilities
and closure phases, and saves them as OIFITS files. To analyse those files
(binary searches, contrast limits, model fitting), we recommend
virgil: pip install amical[virgil]
(Python >= 3.11). The former CANDID and Pymask functions (amical.candid_grid,
amical.pymask_mcmc, ...) remain as a legacy API computed with virgil.
See the documentation for more information.
Metadata
Release files for amical 1.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| amical-1.8.0.tar.gz | 97.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| amical-1.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 205.2 kB
Release files / amical-1.8.0.tar.gz
| Download URL | amical-1.8.0.tar.gz |
|---|---|
| Size | 97.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Release files / amical-1.8.0-py3-none-any.whl
| Download URL | amical-1.8.0-py3-none-any.whl |
|---|---|
| Size | 107.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|