Variable Source Cluster Analysis (VASCA)
- Motivation
- Pipeline Overview
- Key Features
- Proof-of-Principle Study
- Documentation and Installation
- Getting Started
Motivation
VASCA (Italian for "bathtub" 🛁) is a high-performance software package developed to address the challenges of time-domain astronomy, especially given the increasing volume of data from large-scale surveys such as ZTF, LSST, and ULTRASAT. Designed to analyze time-variable cosmic sources like active galactic nuclei, stars, and transient events, VASCA provides a modular, scalable solution for integrating data from multiple instruments and conducting a cohesive analysis.
Pipeline Overview
The VASCA analysis pipeline consists of three primary steps:
- Spatial Clustering: Associate detections from repeated observations to unique cosmic sources using mean-shift clustering.
- Statistical Variability Detection: Identify time-variable sources by testing flux variations against a constant hypothesis at a 5-σ significance level.
- Source Classification: Classify detected sources, including cross-matching with external catalogs (e.g., SIMBAD, Gaia).
The main output of the pipeline is a catalog of time-variable cosmic sources, including detailed classifications and cross-matches with existing astronomical databases.
Key Features
- Simplicity and Modularity: The software uses a hierarchical data model and modular processing to ensure scalability and ease of use. It supports data from multiple instruments seamlessly.
- Proven Algorithms: VASCA relies on established algorithms and statistical methods, ensuring robustness and reducing the maintenance burden.
- Focus on Specific Use Case: Optimized for analyzing time-domain astronomical data, VASCA keeps complexity low, simplifying auditing and debugging.
- Standards Compliance: Outputs are designed for publication readiness by adhering to IAU and CDS standards, using widely-accepted, non-proprietary data formats.
- Customization and Extensibility: VASCA allows flexible configuration, making it adaptable to different datasets and instrument-specific requirements.
Proof-of-Principle Study
VASCA was applied to a proof-of-principle study using the Galaxy Evolution Explorer (GALEX) archive (2003-2013). This study produced a catalog of over 4,000 UV-variable sources, revealing UV variability across all classes of stars. Notably, a massive, pulsating white dwarf exhibited unique long-term variability in the UV. The full article including a description of VASCA's pipeline can be found here: The time-variable ultraviolet sky: Active galactic nuclei, stars, and white dwarfs.
Documentation and Installation
VASCA is distributed as an open-source package. Comprehensive documentation is available here, including example notebooks and an API reference to help users get started. For quick installation, VASCA can be installed via PyPI using:
pip install vasca
For more info see the installation guide.
Metadata
Release files for vasca 1.0.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vasca-1.0.16.tar.gz | 47.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vasca-1.0.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 95.1 MB
Release files / vasca-1.0.16.tar.gz
| Download URL | vasca-1.0.16.tar.gz |
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| Size | 47.5 MB |
| Tags | Source |
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| Download URL | vasca-1.0.16-py3-none-any.whl |
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| Size | 47.6 MB |
| Tags | Python 3 |
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