XFaster
Description
Implementation by A. Gambrel, A. Rahlin, C. Contaldi.
XFaster is a fast power spectrum and likelihood estimator for CMB datasets. It has most recently been used for the SPIDER B-mode polarization results, but is intended to be generically useful for modern CMB observatories.
An accompanying paper describing the algorithm can be found here: https://arxiv.org/abs/2104.01172
Documentation can be found here: https://spidercmb.github.io/xfaster/
- xfaster:
python package
- docs:
documentation on usage, file structure, etc.
- example:
an example configuration for running xfaster
To get started, install xfaster:
pip install xfaster
1 maintainer
Metadata
1 maintainer
Release files for xfaster 1.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| xfaster-1.2.0.tar.gz | 96.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xfaster-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 196.2 kB
Release files / xfaster-1.2.0.tar.gz
| Download URL | xfaster-1.2.0.tar.gz |
|---|---|
| Size | 96.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.10.12
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Release files / xfaster-1.2.0-py3-none-any.whl
| Download URL | xfaster-1.2.0-py3-none-any.whl |
|---|---|
| Size | 99.6 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
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Security for xfaster 1.2.0
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