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# Context
Documenting field-level Simulation Based Inference from a differentiable cosmological model.
In [code], we run joint inferences of the initial field ($\delta_L$, $64^3$ mesh), cosmologic…
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# Context
Documenting field-level explicit likelihood inference from a differentiable cosmological model.
In [code](https://github.com/hsimonfroy/montecosmo/blob/a7346788b5555b2f6b14bff3e9dc2f4c9…
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## Outline
We want to publish the following aspects to sell `supernest`:
- [ ] Outline of theory with a discussion of the role of DKL.
- [ ] Banana inference. As a stress test.
- [ ] Inferen…
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Add examples demonstrating
- [x] Comparison with approximation in Adachi & Kasai 2011
- [x] Comparison of pre-specified models with astropy
- [x] Comparison across parameter space with astropy
-…
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This issue is complementary to #18 which contains a simulator with latent variables which make it an implicit model. Here we will consider a case where the marginal likelihood is known, this is much e…
EiffL updated
2 years ago
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Now write a bullet-point or telegraphic summary of the introduction argument. This should touch on
- why is weak lensing important?
- what are the big problems with weak lensing analysis?
- how do we…
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Hey @astrosonnen - Tom C has a paper coming out where he and a student look at the impact of selection effects on time delay cosmological inference (he just showed some results here at the H0LiCOW/STR…
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The current functionality of SNCosmo allows the user to obtain SALT2 light model from the light curve data using the ansatz that the distance modulus $\mu = m_B + \alpha x_1 - \beta c + M$ where $M$ i…
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Let's document the discussions from the TAMU Sprint Week to the README to get this party started!
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For blinding (@arthurmloureiro) we need to be able to pass sacc objects to the likelihood creation entry point. At the moment, `load_likelihood` and `build_likelihood` expect a `NamedParameters` argu…