Higher Mode phase marginalization#5222
Open
vikasjadhav-why wants to merge 6 commits intogwastro:masterfrom
Open
Higher Mode phase marginalization#5222vikasjadhav-why wants to merge 6 commits intogwastro:masterfrom
vikasjadhav-why wants to merge 6 commits intogwastro:masterfrom
Conversation
…e in the presence of higher modes
…irst order corrections to analytic approximation, option to expand about an offset phase
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
'Added a new model in inference that can semi-analytically marginalize the phase of the signal in the presence of higher modes'
This is a: new feature that allows for semi-analytic marginalization of phase in the presence of higher modes.
This change affects: inference
This change changes: documentation
Currently, analytic phase marginalization is only available in the presence of a single mode. WIth multiple modes present, phase needs to be sampled over. This model circumvents the problem by calculating the marginalized likelihood as a function of the complex inner products of the data and the signal template.