fasttracks
A massively-parallel engine to evaluate detection statistics for generic CW signals.
Citing this work
If fasttracks was useful to your research, we would appreciate if you cited
Tenorio+ (2024) where this
implementation was first presented:
@article{Tenorio:2024jgc,
author = "Tenorio, Rodrigo and M\'erou, Joan-Ren\'e and Sintes, Alicia M.",
title = "{A one-stop strategy to search for long-duration gravitational-wave signals}",
eprint = "2411.18370",
archivePrefix = "arXiv",
primaryClass = "gr-qc",
reportNumber = "LIGO-P2400425",
month = "11",
year = "2024",
journal = "arXiv e-prints"
}
as well as a Zenodo release of this software.
1 maintainer
Metadata
1 maintainer
Release files for fasttracks 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fasttracks-0.1.0.tar.gz | 10.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fasttracks-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.7 kB
Release files / fasttracks-0.1.0.tar.gz
| Download URL | fasttracks-0.1.0.tar.gz |
|---|---|
| Size | 10.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / fasttracks-0.1.0-py3-none-any.whl
| Download URL | fasttracks-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
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