spotter
Approximate forward models of fluxes and spectra time-series of non-uniform stars
spotter uses the HEALPix subdivision scheme and is powered by the high-performance numerical package JAX, enabling its use on GPUs.
Installation
For now only locally with
pip install -e spotter
with spotter cloned using
git clone https://github.com/lgrcia/spotter
1 maintainer
Metadata
1 maintainer
Release files for starspotter 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| starspotter-0.0.1.tar.gz | 3.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| starspotter-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.5 MB
Release files / starspotter-0.0.1.tar.gz
| Download URL | starspotter-0.0.1.tar.gz |
|---|---|
| Size | 3.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|
Release files / starspotter-0.0.1-py3-none-any.whl
| Download URL | starspotter-0.0.1-py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|
