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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.14156 |
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| _version_ | 1866910881796849664 |
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| author | Galelli, Claudio |
| author_facet | Galelli, Claudio |
| contents | Characterizing the temporal variability of astrophysical sources is key to understanding the underlying physical processes driving their emissions. This work introduces a gammapy_SyLC, a Python package that offers tools to simulate and fit time-domain data, with a focus on Active Galactic Nuclei (AGN) variability. The package was developed taking into account possible interactions with gammapy but does not directly depend on it. gammapy_SyLC incorporates optimized implementations of the Timmer & Koenig and Emmanoulopoulos algorithms for light curve simulation, capable of generating synthetic lightcurves from specified PSDs and amplitude distribution models. It also provides functionalities for PSD fitting, histogram-based PDF interpolation, and Monte Carlo-based parameter estimation, making it a full-stack tool for investigating variable phenomena and specifically the long-term behavior of AGNs. To showcase its capabilities, the package was applied to gamma-ray light curves from the Fermi Large Area Telescope repository, reconstructing PSDs and PDFs and constraining variability models for observed sources. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_14156 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | gammapy_SyLC: A Package for Simulating and Fitting Variability in High-Energy Light Curves Galelli, Claudio High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics Characterizing the temporal variability of astrophysical sources is key to understanding the underlying physical processes driving their emissions. This work introduces a gammapy_SyLC, a Python package that offers tools to simulate and fit time-domain data, with a focus on Active Galactic Nuclei (AGN) variability. The package was developed taking into account possible interactions with gammapy but does not directly depend on it. gammapy_SyLC incorporates optimized implementations of the Timmer & Koenig and Emmanoulopoulos algorithms for light curve simulation, capable of generating synthetic lightcurves from specified PSDs and amplitude distribution models. It also provides functionalities for PSD fitting, histogram-based PDF interpolation, and Monte Carlo-based parameter estimation, making it a full-stack tool for investigating variable phenomena and specifically the long-term behavior of AGNs. To showcase its capabilities, the package was applied to gamma-ray light curves from the Fermi Large Area Telescope repository, reconstructing PSDs and PDFs and constraining variability models for observed sources. |
| title | gammapy_SyLC: A Package for Simulating and Fitting Variability in High-Energy Light Curves |
| topic | High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2503.14156 |