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AstroFlow

A GPU-accelerated pipeline for radio single-pulse and fast radio burst searches

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AstroFlow is an end-to-end search pipeline for radio single pulses and fast radio bursts (FRBs). It combines CUDA-accelerated dedispersion, RFI mitigation, AI-assisted candidate detection, and publication-ready candidate visualization in a YAML-configured command-line workflow. The pipeline supports FILTERBANK (.fil) and PSRFITS (.fits) observations and is designed for high-throughput offline or near-real-time searches.

AstroFlow architecture

Preview

AstroFlow candidate preview

Installation

Python 3.10 to 3.12 is recommended.

pip install pulseflow

Read the full documentation: https://lintian233.github.io/astroflow/

Source Build

Source builds require CUDA Toolkit 12.6 or newer, GCC/G++ 11.4 or compatible, CMake 3.22 or newer, Conan 2.x, Ninja, and Python 3.10 to 3.12.

git clone https://github.com/lintian233/astroflow
cd astroflow
bash configure.sh
conda activate dev-astroflow-ml
bash build.sh
pip install -e .

Development builds are also published to TestPyPI:

pip install --pre -i https://test.pypi.org/simple/ pulseflow --extra-index-url https://pypi.org/simple

Citation

If AstroFlow is useful in your research, please cite:

ASTROFLOW: A Real-Time End-to-End Pipeline for Radio Single-Pulse Searches
https://doi.org/10.3847/1538-4365/ae4a26

Limitations

  • For best throughput, keep individual observations below roughly 300 seconds and below 5 GB per input file. Larger files may become I/O-bound and increase memory pressure.
  • When a file produces more than roughly 50 candidates, Python-side candidate object construction and plotting can become the dominant runtime cost.

Roadmap

  • Add PSRDADA ingestion and zero-copy memory mapping for high-throughput streaming.
  • Reuse dedispersed data products across multi-parameter searches.
  • Complete the injection-pulse and model fine-tuning workflow.
  • Expand automated test coverage.

Community

AstroFlow contributors

Repobeats analytics image

Star History

Star History Chart

Metadata

Release files for pulseflow 0.1.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for pulseflow 0.1.12
File Interpreter ABI Platform Actions
pulseflow-0.1.12-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details for pulseflow-0.1.12-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
pulseflow-0.1.12-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details for pulseflow-0.1.12-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
pulseflow-0.1.12-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details for pulseflow-0.1.12-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Total release size: 14.5 MB

Release files / pulseflow-0.1.12-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL pulseflow-0.1.12-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 4.8 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Download URL pulseflow-0.1.12-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 4.8 MB
Tags CPython 3.11 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Release files / pulseflow-0.1.12-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL pulseflow-0.1.12-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 4.8 MB
Tags CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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