Lensed event sampling (Analytical formulation)
Initial setup
Note: I will interchangeably use terms like observable events and detectable events.
Define all the parameters involved.
Source parameters: \(\theta \in \{\) \(m_1\) (mass of the heavier one), \(m_2\) (mass of the lighter one), \(\iota\) (inclination-angle), \(\phi\) (phase-of-coalescence), \(\psi\) (polarization-angle), \(ra\) (right-ascension), \(dec\) (declination) \(\}\) and \(z_s\) : red-shift of the source.
Lens parameters: \(\theta_L \in \{\) \(\sigma\) (velocity-dispersion), \(q\) (axis-ratio), \(\psi\) (axis-rotation), \(\gamma\) (spectral-index), \([\gamma_1,\gamma_2]\) (external-shear), \([e_1,e_2]\) (ellipticity), \(\beta\) (source position) \(\}\)
\(z_L\) : red-shift of the galaxy lens
image properties: \(\{\) \(\mu_i\) (magnification), \(dt_i\) (time-delay), \(n_i\) (morse-phase) \(\}\). There is subscript \(i\) because there can be multiple images.
\(SL\): Strong lensing condition. It means the original gravitational wave signal is lensed and split into multiple images \((\geq 2)\).
Distance representation of lens object and source object will be in terms of redshifts (\(z_l\) and \(z_s\)).
Montecarlo integration: Given a function \(f(\theta)\) and normalized probability distribution function PDF \(P(\theta)\), then,
where \(\theta_i\) are samples drawn from \(P(\theta)\).
General formulation of rate equation.
What we need to find is the number of lensed gravitational events that are detectable by the detector in a given time interval (1 year). Forget about lensing and detection for a moment. If we want to know the total number of compact binary coalescence (CBC) events then we can write it as,
Similarly, we can write the rate of lensed detectable events as,
Merger rate density at \(z_s\) is known.
Let’s try to formulate it with proper mathematics.
Given \(d N^L_{obs}(z_s)\) is the number of lensed GW detectable events from sources at red-shift \(z_s\) in a spherical shell of thickness \(d z_s\), then, the rate observing lensed GW events is given by,
Note: Reader should not confuse between lensed events and lensed images. Each lensed event can have multiple lensed images. These images can be detected as seperate GW signals. In case of un-lensed events, there is only one GW signal for each event.
Note that if \(d\tau=dt/(1+z_s)\) is considered the proper time and it can be converted from the time at detector frame \(dt\) using the time-dilation factor \((1+z_s)\). Consequently, \(\frac{d^2 N^L_{obs}(z_s)}{d t \;d\mathcal{V}_c}\) and \(\frac{d^2 N^L_{obs}(z_s)}{d \tau \;d\mathcal{V}_c}\) are the observed merger rate density at detector-frame and source-frame respectively. We want to use the \(R^L_{obs}(z_s)=\frac{d^2 N^L_{obs}(z_s)}{d \tau \;d\mathcal{V}_c}\) for our analysis as most observational papers and the output of theoretical predictions are in the source-frame. \(\frac{dV_c}{dz_s}dz_s\) is considered a spherical-shell volume element in co-moving coordinates at red-shift \(z_s\). So, the rate expression simplifies to integrating (density) \(\times\) (time dilation effect) over the shell volume element. For more information on the volume element refer to this `page <>`__ of the documentation.
Note: \(\frac{dV_c}{dz_s}\) is the differential co-moving volume at red-shift \(z_s\) and you can get the value by using astropy cosmology package for a given cosmology.
Now we have,
We want to re-write it in terms intrinsic merger rate distribution \(R(z_s)\). \(R(z_s)\) is the merger rate density distribution regardless of whether the source is detectable or not.
\(P(obs|z_s, SL)\) is the probability of observing a lensed GW event given that the source is at red-shift \(z_s\) and the signal is strongly lensed. Here, it is considered marginalized over all the gravitational wave parameters \(\theta\) (without \(z_s\)), lens related parameters \(\theta_L\), lens redshifts \(z_L\) and possible source positions \(\beta\), i.e., \(P(obs|z_s,SL) = \int_{\theta, \theta_L, z_l, \beta} d\theta\, d\theta_L\, dz_l\, d\beta\, P(obs|z_s, \theta, \theta_L, z_l, \beta, SL)\).
\(P(SL|z_s)\) is the probability of strong lensing given that the source is at red-shift \(z_s\). It is also called the optical depth of strong lensing. It is discussed in detail in the next section.
In Eqn(4) the merger rate density becomes the prior distribution \(P(z_s|SL)\) for the lensed source redshift, and it is normalized over the red-shift range. So the normalizing factor is given by,
Therefore,
This is done because we want to sample the red-shift values from this prior distribution, which later will be used in the monte-carlo integration to estimate the rate.
Below I have included the Bayesian way of arriving at \(P(z_s|SL)\) expression.
In the above expression, I have used the redshift prior \(P(z_s)\) of unlensed events as given in Eqn(6) of Analytical formulation of the un-lensed event sampling.
Let’s re-write the integrand in rate expression in Eqn(4) so that it also become dependent on lens parameter \(\theta_L\), lens redshift \(z_l\), source position \(\beta\), and othet GW parameters \(\theta\).
Eqn(10) is the complete expression for the rate of lensed detectable events.
In arriving at Eqn(9) I have used the following relations,
Therefore,
Optical depth
Strong lensing probability (where does it come from?)
General formulation
Optical depth \(P(SL|z_s)\) is defined as the probability of a source being strongly lensed. One can also think of it as cross-section of the lensing, i.e..
The numerator corresponds to relevant lensing area of all possible lensing galaxies present in the universe between the observer and the source. For a given source at red-shift \(z_s\), the probability of strong lensing is given by \(P(SL|z_s)\). And let there be a distribution of lenses \(dN(z_l)\) at red-shift \(z_l\) in a spherical shell of thickness \(d z_l\). Then the probability of strong lensing is given by,
\begin{equation} \begin{split} P(SL|z_s) &= \frac{1}{4\pi} \int^{z_s}_{0} P(SL|z_s, z_l) dN(z_l) \\ \end{split} \tag{10} \end{equation}
Let’s try to write the integrand in terms of number density. Consequently, we need to consider the integrand’s dependence on lens parameters \(\theta_L\) and lens redshift \(z_l\). Now the Eqn(10) becomes,
\begin{equation} \begin{split} P(SL|z_s) &= \frac{1}{4\pi} \int^{z_s}_{0} \int_{\theta_L} P(SL|z_s, z_l, \theta_L) \frac{d^2N(z_l, \theta_L)}{dV_c d\theta_L} \frac{dV_c}{dz_l} dz_l d\theta_L \\ \end{split} \tag{11} \end{equation}
The number density of lenses \(d^3N(z_l)/dV_c dz_ld\theta_L\) is the number of lenses per unit volume per unit red-shift per unit lens parameter. The lensing probability \(P(SL|z_s, z_l, \theta_L)\) is the probability of strong lensing given that the source is at red-shift \(z_s\), the lens is at red-shift \(z_l\) and the lens parameters are \(\theta_L\). The integral is over all possible lens red-shifts and lens parameters. The factor \(1/4\pi\) is the solid angle of the entire sky.
Optical depth for Singular isothermal sphere SIS lens
This is in reference to Haris et al. 2018.
Take \(P(SL|z_s, z_l, \theta_L)\) as \(\phi_{\text{SIS}}=\pi \theta_E^2\) (\(\theta_E\): Einstein radius) and \(\theta_L\in \{\sigma\}\), where \(\sigma\) is the velocity dispersion of the lens. The probability of strong lensing for a SIS lens is given by,
\begin{equation} \begin{split} P(SL|z_s) &= \frac{1}{4\pi} \int^{z_s}_{0} \int_{\sigma} P(SL|z_s, z_l, \sigma) \frac{d^2N(z_l, \sigma)}{dV_c d\sigma} \frac{dV_c}{dz_l} dz_l d\sigma \\ &= \frac{1}{4\pi} \int^{z_s}_{0} \int_{\sigma} \phi_{\text{SIS}} \frac{d^2N(z_l, \sigma)}{dV_c d\sigma} \frac{dV_c}{dz_l} dz_l d\sigma \\ \end{split} \tag{12a} \end{equation}
Haris, following Choi et al. 2008 for early type galaxy, has considered the number density of the lens, \(\frac{d^2N(z_l, \sigma)}{dV_c d\sigma}=\,<n>_{\sigma\in P(\sigma)} P(\sigma)\) where \(P(\sigma)\) is the PDF of velocity dispersion and \(<n>_{\sigma\in P(\sigma)}=n_o=8\times 10^{-3} h^3 Mpc^{-3}\) is the average number density of the lens which is a constant over the red-shift range of local universe. But I will consider a general case, like in Oguri et al. 2018 for all-type galaxy, where \(\frac{d^2N(z_l, \sigma)}{dV_c d\sigma}=\phi(\sigma,z_l)=\phi_\text{loc}(\sigma)\frac{\phi_\text{hyd}(\sigma,z_l)}{\phi_\text{hyd}(\sigma,0)}\), and has both function dependence on both red-shift and velocity dispersion. The optical depth becomes,
\begin{equation} \begin{split} P(SL|z_s) &= \int \frac{\pi \theta_E^2}{4 \pi} \phi(\sigma,z_l) \frac{dV_c}{dz_l} dz_l d\sigma \\ &= \int_{z_l} \int_{\sigma} P(SL|\sigma, z_l,z_s) P(\sigma,zl|zs) d\sigma dz_l \\ &= \int_0^{z_s} \int_{\sigma} P(SL|\sigma,z_l,z_s) P(\sigma, z_l) dz_l, \end{split} \tag{12b} \end{equation}
where \(P(SL|\sigma, z_l, z_s)\) is probability of strong lensing for a SIS lens given that the source is at red-shift \(z_s\) and the lens is at red-shift \(z_l\) and the lens velocity dispersion is \(\sigma\). \(P(SL|\sigma, z_l, z_s)\) is zero if \(z_l>z_s\). \(P(\sigma, z_l|z_s)\) is simply \(P(\sigma, z_l)\) with the condition \(z_l<z_s\). Now I defined,
\begin{equation} \begin{split} \Phi_{\rm SIS}(z_l,z_s) &= \int_{\sigma} P(SL|\sigma, z_l,z_s) P(\sigma, z_l|z_s) d\sigma \\ &= \int_{\sigma} P(SL|\sigma, z_l,z_s) P(z_l|\sigma, z_s) P(\sigma) d\sigma \\ &= P(SL|z_l,z_s) P(z_l|z_s), \end{split} \tag{12c} \end{equation}
and probability distribution of lenses given the source red-shift \(z_s\) is given by,
\begin{equation} \begin{split} P(z_l|z_s,SL) &= \frac{P(SL|z_l,z_s) P(z_l|z_s)}{\int_0^{z_s} P(SL|z_l,z_s) P(z_l) dz_l} \\ &\propto \Phi_{\rm SIS}(z_l,z_s) \end{split} \tag{12d} \end{equation}
I would use this expression in the monte-carlo sampling of lens red-shift \(z_l\).
ler use the following expression for the optical depth of strong lensing,
\begin{equation} \begin{split} P(SL|z_s) &= \int_0^{z_s} \Phi_{\rm SIS}(z_l,z_s) dz_l \end{split} \tag{12e} \end{equation}
Taking \(P_o(\sigma)\) as an uniform distribution over \(\sigma\) parameters, \(\Phi_{\rm SIS}(z_l,z_s)\) can be numerically calculated as,
\begin{equation} \begin{split} \Phi_{\rm SIS}(z_l,z_s) &= \int_{\sigma} \frac{\pi \theta_E^2}{4\pi} \phi(\sigma,z_l) \frac{dV_c}{dz_l} \frac{P_o(\sigma)}{P_o(\sigma)} d\sigma \\ &= (\sigma_{\rm max}-\sigma_{\rm min})\left< \frac{\pi \theta_E^2}{4\pi} \phi(\sigma,z_l) \frac{dV_c}{dz_l}\right>_{\sigma\in P_o(\sigma)} \\ \nonumber &= \Delta \sigma \left< \frac{\pi \theta_E^2}{4\pi} \phi(\sigma,z_l) \frac{dV_c}{dz_l}\right>_{\sigma\in P_o(\sigma)}. \end{split} \tag{12f} \end{equation}
Optical depth for SIE lens
Take SIE cross-section as \(\phi_{\text{SIE}}=\phi_{\text{SIS}} \phi_{\text{CUT}}^{\text{SIE}}(q)\), and it is dependent on \(z_s\), \(z_l\), \(\sigma\) and \(q\) (axis-ratio). \(\phi^{SIE}_{CUT}(q)\) is derive from the expression given in Fei Xu et al. 2022. The SIE lensing probability is given by,
\begin{equation} \begin{split} P(SL|z_s) &= \int^{z_s}_{0} \int_{\sigma} \int_{q} \frac{\phi_{\text{SIE}}}{4\pi} P(q) \phi_(\sigma, z_l) \frac{dV_c}{dz_l} dz_l d\sigma dq \\ &= \int_0^{z_s} \Phi_{\rm SIE}(z_l,z_s) dz_l, \end{split} \tag{12g} \end{equation}
where \(\Phi_{\rm SIE}(z_l,z_s)\) is given by,
\begin{equation} \begin{split} \Phi_{\rm SIE}(z_l,z_s) = \frac{\Delta \sigma}{4\pi} \left< \phi_{\text{SIE}}\; \phi_(\sigma, z_l)\; \frac{dV_c}{dz_l}\right>_{\sigma\in P_o(\sigma)\, q\in P(q)} \end{split} \tag{12h} \end{equation}
Optical depth for EPL+Shear lens
Take EPL+Shear lens cross-section \(\phi_{\text{EPL}}\) as the area of of double-caustic, and it is dependent on \(z_s\), \(z_l\), \(\sigma\), \(q\) (axis-ratio), \(\gamma_1\) and \(\gamma_2\) (external shear), \(\psi\) (axis-rotation) and \(\gamma\) (mass density spectral-index). The EPL lensing probability is given by,
\begin{equation} \begin{split} P(SL|z_s) &= \int^{z_s}_{0} \int_{\sigma} \int_{q} \int_{\gamma} \int_{\gamma_1} \int_{\gamma_2} \int_{e_1} \int_{e_2} \int_{\psi} \frac{\phi_{\text{EPL}}}{4\pi} P(q) P(\gamma) P(\gamma_1,\gamma_2) P(\psi) \phi_(\sigma, z_l) \frac{dV_c}{dz_l} \\ &\; dz_l d\sigma dq d\gamma d\gamma_1 d\gamma_2 d\psi \\ &= \int_0^{z_s} \Phi_{\rm EPL}(z_l,z_s) dz_l, \end{split} \tag{12i} \end{equation}
where \(\Phi_{\rm EPL}(z_l,z_s)\) is given by,
\begin{equation} \begin{split} \Phi_{\rm EPL}(z_l,z_s) = \frac{\Delta \sigma}{4\pi} \left< \phi_{\text{EPL}}\; \phi_(\sigma, z_l)\; \frac{dV_c}{dz_l}\right>_{\sigma\in P_o(\sigma)\, q\in P(q) \, \gamma\in P(\gamma) \, \gamma_1,\gamma_2\in P(\gamma_1,\gamma_2) \, \psi\in P(\psi)} \end{split} \tag{12j} \end{equation}
The lens properties here are not conditioned with strong lensing.