Bayesian Analysis of Galaxies for Physical Inference and Parameter EStimation
Bagpipes is a state of the art code for generating realistic model galaxy spectra and fitting these to spectroscopic and photometric observations. For further information please see the Bagpipes documentation at bagpipes.readthedocs.io.
Bagpipes can be installed with pip:
pip install bagpipesPlease note you cannot run the code just by cloning the repository as the large grids of models aren’t included.
An example fit to photometry:
An example joint fit to spectroscopic and photometric data:
1 maintainer
Release files for bagpipes 0.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bagpipes-0.8.0.tar.gz | 205.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bagpipes-0.8.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 411.9 MB
Release files / bagpipes-0.8.0.tar.gz
| Download URL | bagpipes-0.8.0.tar.gz |
|---|---|
| Size | 205.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
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Release files / bagpipes-0.8.0-py2.py3-none-any.whl
| Download URL | bagpipes-0.8.0-py2.py3-none-any.whl |
|---|---|
| Size | 206.0 MB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
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