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# Strong Lensing Forecasting
Work on a joint-probe likelihood implementation in Firecrown.
Contacts: Sydney Erickson, Tian Li, Phil Holloway
Day/Time: Mornings Pacific / Afternoons Europe
Main…
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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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We are currently using SimBIG-like wide HOD priors. However, there are lot of unphysical prior regions, affecting our sampling efficiency. We can be smarter about how we constrain these HOD priors.
T…
maho3 updated
2 months ago
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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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# Bayesian Foward Modeling Inference Challenge
We provide a forward model from cosmology to lensing observables, your mission, if you decide to accept it, is to retrieve the best Bayesian posterior…
EiffL updated
2 years ago
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When performing inference from the CMB convergence auto spectrum, one has to deal with noise biases (N0, N1 etc.).
These carry a cosmology dependence that needs to be accounted for. A common way to …
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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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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…