Maintenance will be performed on git.ligo.org, chat.ligo.org, containers.ligo.org, and docs.ligo.org starting 2 March 2020 at approximately 8am MST. It is expected to take around 10 minutes and will include a short period of downtime towards the end of the maintenance window. Please direct any comments, concerns, or questions to computing-help@igwn.org.

Commit 07f66ff9 authored by John Douglas Veitch's avatar John Douglas Veitch

Fix latex inclusion in documentation to please doxygen

parent 3f8111fd
......@@ -33,7 +33,7 @@ double log_radial_integral(double r1, double r2, double p, double b, int k, int
* Distance integrator for marginalisation. Assumes a besselI0-type marginalised phase likelihood.
* @param r1 Minimum distance (Mpc)
* @param r2 Maximum distance (Mpc)
* @param k Exponent of distance prior $ p(r) \propto r^k $
* @param k Exponent of distance prior \f$ p(r) propto r^k \f$
* @param cosmology 0: Euclidean, 1: use co-moving volume prior
* @param pmax: The maximum optimal SNR to allow
* @param size: Size of lookup table
......@@ -48,10 +48,10 @@ void log_radial_integrator_free(log_radial_integrator *integrator);
/**
* Evaluate the log distance integrator for given SNRs.
* With a template at reference distance (1Mpc), compute the marginal likelihood
* over distance. Uses the two SNRs p=sqrt(<h|h>) and b=<d|h>.
* over distance. Uses the two SNRs \f$ p=sqrt(<h|h>) \f$ and \f$ b=<d|h> \f$.
* @param integrator a log_radial_integrator
* @param p The optimal SNR $p = sqrt(<h|h>)$
* @param b match between template and data $b = <h|d> $
* @param p The optimal SNR \f$ p = sqrt(<h|h>) \f$
* @param b match between template and data \f$ b = <h|d> \f$
* @param log_p log(p)
* @param log_b log(b)
*/
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment