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A feature dealing with Gaussian Processes for Qpo analysis | ||
This is a JAX implementation of the GP tool by `Hubener et al <https://arxiv.org/pdf/2205.12716.pdf#:~:text=ABSTRACT%20Analyses%20of%20quasi%2Dperiodic,flares%20and%20fast%20radio%20bursts.>`_ | ||
for QPO detection and parameter analysis. | ||
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This feature makes use of tinygp library for Gaussian Processes implementation, and jaxns for nested sampling, | ||
and is kept in the stingray.modeling.gpmodelling module. | ||
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Main features of the module are: | ||
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- get_prior: This function makes the prior function for a specified prior dictionary. | ||
- get_likelihood: This function makes the log_likelihood function for the given Kernel, Mean model and lightcurve. | ||
- GPResult class: The class which takes a Lightcurve, and performs Nested Sampling for a given prior and likelihood. | ||
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The additional Dependencies for the code | ||
- jax | ||
- tinygp | ||
- jaxns | ||
- etils | ||
- tensorflow_probability | ||
- typing_extensions |