- Jan 29, 2019
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Daniel Wysocki authored
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Daniel Wysocki authored
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- Aug 20, 2018
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Daniel Wysocki authored
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Daniel Wysocki authored
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- Aug 16, 2018
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Daniel Wysocki authored
Was accidentally using `m_max` in place of `M_max` in one spot, thereby causing bugs.
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- Aug 15, 2018
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Daniel Wysocki authored
Added support upper/lower cutoffs on component masses, as well as an upper cutoff on the total mass. While this shouldn't be necessary when producing synthetic PE results, it _is_ however useful for testing purposes, especially in the case of P-P plots, as we need to draw the true values from the prior, and that prior must both be proper (uniform component masses out to infinity isn't proper) and not include points we have a hard time simulating (very low mass sources are tougher to generate waveforms for due to duration), hence the limits on component masses. The limit on total masses was just added for good measure. These limits are all off by default and will not change results that don't use them.
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- Apr 28, 2018
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Daniel Wysocki authored
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Daniel Wysocki authored
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- Apr 15, 2018
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Daniel Wysocki authored
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- Apr 14, 2018
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
We were shifting the Gaussian incorrectly, biasing all our results. No priors should be involved when moving the Gaussian's center, and on top of that, we should allow for invalid masses and spins to be used as the mean value -- we use a truncated Gaussian after that point, so letting the center go outside the support is perfectly valid, and disallowing it was biasing us, especially near equal mass ratio where we had a 50% chance of going outside the range -- which was being suppressed.
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- Apr 12, 2018
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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- Apr 11, 2018
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
Also deleted unneeded argument
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
Used to be needed. Isn't with new approach.
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Daniel Wysocki authored
Instead of using an ad-hoc method, where we sample in (mc,eta,chi_eff), and then take a gigantic sample of chi12xyz values and associate the closest match with each chi_eff sample, we use MCMC, sampling in mc, eta, chi12xyz, and use a likelihood that only contains chi_eff information (from the Fisher matrix).
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Daniel Wysocki authored
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Daniel Wysocki authored
Also deleting print debugs
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Daniel Wysocki authored
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Daniel Wysocki authored
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Daniel Wysocki authored
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