1. INTRODUCTION
The traditional metric for gauging the quality of a pulsed laser beam is
the time-bandwidth product (TBP). The TBP is the product of the beam’s
pulse and power spectrum diameters, where the diameter is defined as the
full width at half maximum (FWHM). There are several practical
shortcomings with this FWHM definition. For instance, it can easily
underestimate the width of a multimode laser, where the spectrum might
contain features that fall below the half-maximum threshold. In addition,
the FWHM generally cannot be obtained directly from pulse-shape
measurements (e.g., the intensity autocorrelation in the case of
femtosecond pulses) without assuming forms for the magnitude and phase of
the pulse. These and other weaknesses of the FWHM definition are
summarized in [1–4].
Naturally, these drawbacks have led to other pulse-quality metrics, most
notably the pulse quality factor ${P^2}$, which is the time analogue of Siegman’s
beam quality factor ${M^2}$ [5]. Like ${M^2}$, ${P^2}$ (more detail below) is the product of the
pulse’s root-mean-square (RMS) widths in the time and frequency domains.
Consequently, ${P^2}$ should provide more accurate estimates of
the pulse duration and bandwidth than the TBP for sources with complex
pulse shapes and spectra. ${M^2}$ is the laser industry standard for
assessing beam quality and, since its introduction, has been generalized
to include all manner of beam types: hard-apertured [6,7], vortex [8], and stochastic [9–15]. Interestingly, a similar generalization of ${P^2}$ has not occurred. Indeed, there is only a
handful of references that discuss ${P^2}$ [1–4,16,17]. All of these
references focus on the ${P^2}$ of coherent light sources, which
generally excludes multimode lasers or lasers that have been artificially
or unintentionally broadened. These cases include white-noise or
pseudo-random binary sequence broadening in the former [18] and spontaneous emission from optical
amplifiers in the latter [19–21].
In this paper, we generalize the ${P^2}$ metric to include pulsed (nonstationary)
random fields of any state of coherence. We begin with the theoretical
derivation of ${P^2}$ for such fields. Our analysis follows
that of ${M^2}$ presented in [9]. We specialize our general ${P^2}$ relation to coherent and Schell-model
beams and derive the ${P^2}$ for two example random fields: a cosine
Gaussian-correlated Schell model and nonuniformly correlated pulsed beam.
We then generate (in simulation) both of these sources and compare the
simulated ${P^2}$, i.e., computed directly from the ${P^2}$ definition, to the theoretical quantity
to validate our work. We conclude with a brief summary and discussions of
future work and applications.
2. THEORY
We begin with our expression for the pulse quality factor ${P^2}$, such that
(1)$${P^2} = 2{\sigma _t}{\sigma
_\omega},$$
where ${\sigma _t}$ and ${\sigma _\omega}$ are the normalized second central
moments, or RMS widths of the time-domain pulse intensity and
frequency-domain spectral density, respectively. They are mathematically
defined as (2)$$\begin{split}{\sigma
_t^2}&= {\frac{{\int_{- \infty}^\infty {{\left({t - \langle
t\rangle} \right)}^2}\Gamma \!\left({t,t} \right){\rm d}t}}{{\int_{-
\infty}^\infty \Gamma \!\left({t,t} \right){\rm d}t}}}\\{\sigma
_\omega ^2}&={\frac{{\int_{- \infty}^\infty {{\left({\omega -
\langle \omega \rangle} \right)}^2}W\!\left({\omega ,\omega}
\right){\rm d}\omega}}{{\int_{- \infty}^\infty W\!\left({\omega
,\omega} \right){\rm d}\omega}}.}\end{split}$$
In Eq. (2), $\langle t\rangle$ and $\langle \omega
\rangle$ are the normalized first moments of
intensity and spectral density, i.e., (3)$$\begin{split}{\langle
t\rangle} &= {\frac{{\int_{- \infty}^\infty t\Gamma \!\left({t,t}
\right){\rm d}t}}{{\int_{- \infty}^\infty \Gamma \!\left({t,t}
\right){\rm d}t}}}\\{\langle \omega \rangle}&= {\frac{{\int_{-
\infty}^\infty \omega W\!\left({\omega ,\omega} \right){\rm
d}\omega}}{{\int_{- \infty}^\infty W\!\left({\omega ,\omega}
\right){\rm d}\omega}}.}\end{split}$$
Last, $\Gamma$ and $W$ are the mutual coherence function (MCF)
and cross-spectral density (CSD) function of the stochastic pulsed source.
Consequently, $\Gamma ({t,t}) =
\left\langle {I(t)} \right\rangle$ is the ensemble-averaged intensity and $W({\omega ,\omega}) =
S(\omega)$ is the spectral density. Using Wolf’s
convention [22], the MCF and CSD
function are related via the Fourier transform
(4)$$\begin{split}{W\!\left({{\omega _1},{\omega _2}} \right)} &={
\frac{1}{{{{\left({2\pi} \right)}^2}}} \iint_{- \infty}^\infty \Gamma
\!\left({{t_1},{t_2}} \right)\exp \!\left[{{\rm j}\!\left({{\omega
_1}{t_1} - {\omega _2}{t_2}} \right)} \right]{\rm d}{t_1}{\rm
d}{t_2}},\\{\Gamma \!\left({{t_1},{t_2}} \right)}&={ \iint_{-
\infty}^\infty W\!\left({{\omega _1},{\omega _2}} \right)\exp
\!\left[{- {\rm j}\!\left({{\omega _1}{t_1} - {\omega _2}{t_2}}
\right)} \right]{\rm d}{\omega _1}{\rm d}{\omega
_2}.}\end{split}$$
Traditionally, the moments in ${P^2}$, like those in ${M^2}$, are defined in the waist plane [3,4,16]. This makes ${P^2}$ a single invariant number that completely
describes ${\sigma _t}$ at any distance from the waist plane in a
second-order-dominant dispersive medium. Here, we are interested in pulse
quality in the transmit (or source) plane, including any potential chirp
and, therefore, proceed by computing ${\sigma _t}$, ${\sigma _\omega}$, and ultimately ${P^2}$ directly in the source plane. As a
consequence, our ${P^2}$ does not have the same physical meaning
as it does in [3,4,16]; however, it is more consistent with the TBP, which is our
goal here. Nevertheless, the analysis to follow is applicable in either
case.
Following the approach taken in [9,10], we can reformulate ${\sigma _\omega}$ in terms of the MCF or ${\sigma _t}$ in terms of the CSD function. Here, we
choose the former. Proofs for the following are shown in the appendix:
(5)$$\langle \omega \rangle =
\frac{{\rm j}}{J}\int_{- \infty}^\infty {\left. {\frac{{\partial
\Gamma \!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|_{t,t}}{\rm d}t,$$
(6)$$\langle {\omega ^2}\rangle
= \frac{1}{J}\int_{- \infty}^\infty {\left. {\frac{{{\partial
^2}\Gamma \!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial
{t_2}}}} \right|_{t,t}}{\rm d}t,$$
where ${\rm j} = \sqrt {-
1}$, $J$ is (7)$$J = \int_{- \infty}^\infty
\Gamma \!\left({t,t} \right){\rm d}t,$$
and ${|_{t,t}}$ denotes that ${t_1} = {t_2} =
t$ after computing the partial
derivative.A. General Stochastic Sources
Let us start by writing $\Gamma$ as
(8)$$\Gamma
\!\left({{t_1},{t_2}} \right) = {\left[{\left\langle
{I\!\left({{t_1}} \right)} \right\rangle \left\langle
{I\!\left({{t_2}} \right)} \right\rangle} \right]^{1/2}}\gamma
\!\left({{t_1},{t_2}} \right) = i\!\left({{t_1}}
\right)i\!\left({{t_2}} \right)\gamma \!\left({{t_1},{t_2}}
\right),$$
where $\gamma$ is the normalized temporal
correlation function (i.e., $\gamma ({t,t}) =
1$), also known as the complex degree of
coherence (CDoC). In addition, because the MCF is Hermitian [22], $\gamma ({{t_1},{t_2}}) =
{\gamma ^*}({{t_2},{t_1}})$.Substituting Eq. (8) into
Eqs. (5)–(7) and evaluating the straightforward yet tedious
derivatives produces
(9)$$\langle \omega \rangle
= \frac{{\rm j}}{J}\int_{- \infty}^\infty i\!\left(t
\right)i^\prime \!\left(t \right){\rm d}t + \frac{{\rm
j}}{J}\int_{- \infty}^\infty {\left[{i\!\left(t \right)}
\right]^2}{\left. {\frac{{\partial \gamma \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}}}} \right|_{t,t}}{\rm d}t,$$
(10)$$\begin{split}{\langle
{\omega ^2}\rangle}&={ \frac{1}{J}\int_{- \infty}^\infty
{{\left[{i^\prime \!\left(t \right)} \right]}^2}{\rm d}t +
\frac{1}{J}\int_{- \infty}^\infty {{\left[{i\!\left(t \right)}
\right]}^2}{{\left. {\frac{{{\partial ^2}\gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial {t_2}}}}
\right|}_{t,t}}{\rm d}t}\\&\quad+ {\frac{2}{J}{\rm
Re}\!\left[{\int_{- \infty}^\infty i\!\left(t \right)i^\prime
\!\left(t \right){{\left. {\frac{{\partial \gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}{\rm d}t} \right]},\end{split}$$
(11)$$J = \int_{-
\infty}^\infty {\left[{i\!\left(t \right)} \right]^2}{\rm
d}t,$$
where $i^\prime (t) = {\rm
d}[{i(t)}]/{\rm d}t$. The first integral in Eq. (9) can be evaluated in closed
form using substitution or integration by parts: (12)$$\int_{- \infty}^\infty
i\!\left(t \right)i^\prime \!\left(t \right){\rm d}t =
\frac{1}{2}\mathop {\lim}\limits_{t \to \infty}
\left\{{{{\left[{i\!\left(t \right)} \right]}^2} -
{{\left[{i\!\left({- t} \right)} \right]}^2}}
\right\}.$$
We can safely assume that $i(t) \to 0$ as $t \to \pm
\infty$ (as it would be for any physical
pulsed beam); therefore, the integral is zero. In addition, to arrive
at Eq. (10), we used
(13)$${\left.
{\frac{{\partial \gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|_{t,t}} = {\left[{{{\left. {\frac{{\partial \gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_2}}}}
\right|}_{t,t}}} \right]^*},$$
which we prove in Appendix C.We can make further progress by expressing $\gamma$ as
(14)$$\gamma
\!\left({{t_1},{t_2}} \right) = a\!\left({{t_1},{t_2}} \right)\exp
\!\left[{{\rm j}\psi \!\left({{t_1},{t_2}} \right)}
\right],$$
where $a({t,t}) = 1$, $\psi ({t,t}) =
0$, $a({{t_1},{t_2}}) =
a({{t_2},{t_1}})$, and $\psi ({{t_1},{t_2}}) = -
\psi ({{t_2},{t_1}})$ as a consequence of the CDoC being
normalized and Hermitian. The above derivatives are (15)$$\begin{split}{{{\left.
{\frac{{\partial \gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}} &={ {{\left. {\frac{{\partial
a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}} + {\rm j}{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}}\\{{{\left. {\frac{{{\partial ^2}\gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial {t_2}}}}
\right|}_{t,t}}}&= {{{\left. {\frac{{{\partial
^2}a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial
{t_2}}}} \right|}_{t,t}} + {{\left[{{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}} \right]}^2}} \\&\quad+ {{\rm j}{{\left.
{\frac{{{\partial ^2}\psi \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}}
\right|}_{t,t}}}.\end{split}$$
Inherent in these relations are the
identities (16)$$\begin{split}{{{\left.
{\frac{{\partial a\!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}}= {{{\left. {\frac{{\partial
a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_2}}}}
\right|}_{t,t}}}\\[-4pt]{{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}}= {- {{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_2}}}}
\right|}_{t,t}},}\end{split}$$
which are easy to prove from the limit
definition of the derivation and the symmetry relations of $a$ and $\psi$ or Eq. (13). Substituting Eq. (15) into Eqs. (9) and (10)
produces (17)$$\begin{split}\langle
\omega \rangle &= \frac{{\rm j}}{J}\int_{- \infty}^\infty
{\left[{i\!\left(t \right)} \right]^2}{\left. {\frac{{\partial
a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|_{t,t}}{\rm d}t\\[-4pt]&\quad - \frac{1}{J}\int_{-
\infty}^\infty {\left[{i\!\left(t \right)} \right]^2}{\left.
{\frac{{\partial \psi \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|_{t,t}}{\rm d}t,\end{split}$$
(18)$$\begin{split}{\langle
{\omega ^2}\rangle} &={\frac{1}{J}\int_{- \infty}^\infty
{{\left[{i^\prime \!\left(t \right)} \right]}^2}{\rm d}t +
\frac{2}{J}\int_{- \infty}^\infty i\!\left(t \right)i^\prime
\!\left(t \right){{\left. {\frac{{\partial a\!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}}}} \right|}_{t,t}}{\rm
d}t}\\[-4pt]&\quad+{ \frac{1}{J}\int_{- \infty}^\infty
{{\left[{i\!\left(t \right)} \right]}^2}{{\left. {\frac{{{\partial
^2}a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial
{t_2}}}} \right|}_{t,t}}{\rm d}t} \\[-4pt]&\quad+
{\frac{1}{J}\int_{- \infty}^\infty {{\left[{i\!\left(t \right)}
\right]}^2}{{\left[{{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}} \right]}^2}{\rm d}t}\\[-4pt]&\quad+{
\frac{{\rm j}}{J}\int_{- \infty}^\infty {{\left[{i\!\left(t
\right)} \right]}^2}{{\left. {\frac{{{\partial ^2}\psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial {t_2}}}}
\right|}_{t,t}}{\rm d}t.}\end{split}$$
Since $\langle \omega
\rangle$ and $\langle {\omega
^2}\rangle$ must be real, (19)$$\begin{split}{\int_{-
\infty}^\infty {{\left[{i\!\left(t \right)} \right]}^2}{{\left.
{\frac{{\partial a\!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}{\rm d}t} = {0},\\[-4pt]{\int_{-
\infty}^\infty {{\left[{i\!\left(t \right)} \right]}^2}{{\left.
{\frac{{{\partial ^2}\psi \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}} \right|}_{t,t}}{\rm
d}t}= {0}.\end{split}$$
In actuality, (20)$$\begin{split}{{{\left.
{\frac{{\partial a\!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}} = {0},\\[-4pt]{{{\left.
{\frac{{{\partial ^2}\psi \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}} \right|}_{t,t}}}=
{0},\end{split}$$
which we prove in Appendix D using the coherent-modes
representation of $\Gamma$, and Eqs. (17) and (18) simplify accordingly.We are now in a position to derive an expression for $\sigma _\omega ^2 =
\langle {\omega ^2}\rangle - {\langle \omega \rangle
^2}$. Using Eqs. (17), (18), and (20), we find
(21)$$\begin{split}{\sigma
_\omega ^2} &={ \frac{1}{J}\int_{- \infty}^\infty
{{\left[{i^\prime \!\left(t \right)} \right]}^2}{\rm d}t +
\frac{1}{J}\int_{- \infty}^\infty {{\left[{i\!\left(t \right)}
\right]}^2}{{\left. {\frac{{{\partial ^2}a\!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}} \right|}_{t,t}}{\rm
d}t}\\[-4pt]&\quad+{ \frac{1}{J}\int_{- \infty}^\infty
{{\left[{i\!\left(t \right)} \right]}^2}{{\left[{{{\left.
{\frac{{\partial \psi \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}} \right]}^2}{\rm d}t} \\[-4pt]&\quad-
{{{\left\{{\frac{1}{J}\int_{- \infty}^\infty {{\left[{i\!\left(t
\right)} \right]}^2}{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}{\rm d}t} \right\}}^2}.}\end{split}$$
Last, the ${P^2}$ of the partially coherent pulsed beam
can be found by applying Eq. (1).B. Coherent Sources
For a coherent source, the MCF factors, such that
(22)$$\Gamma
\!\left({{t_1},{t_2}} \right) = f\!\left({{t_1}}
\right){f^*}\!\left({{t_2}} \right)\exp \!\left[{- {\rm j}{\omega
_c}\!\left({{t_1} - {t_2}} \right)} \right],$$
where ${\omega _c}$ is the radian optical frequency (also
known as the carrier frequency) and $f$ is the complex envelope of the pulse.
In this case, (23)$$\begin{split}{i\!\left(t \right) }&= {\left| {f\!\left(t
\right)} \right| = \sqrt {f\!\left(t \right){f^*}\!\left(t
\right)}}\\{a\!\left({{t_1},{t_2}} \right) }&= 1\\{\exp
\!\left[{{\rm j}\psi \!\left({{t_1},{t_2}} \right)} \right]
}&= {\frac{{f\!\left({{t_1}} \right)f\!\left({{t_2}}
\right)}}{{\left| {f\!\left({{t_1}} \right)} \right|\left|
{f\!\left({{t_2}} \right)} \right|}}\exp \!\left[{- {\rm j}{\omega
_c}\!\left({{t_1} - {t_2}} \right)}
\right].}\end{split}$$
The derivatives in Eq. (21) can be computed from
these relations, resulting in (24)$$\begin{split}{i^\prime
\!\left(t \right)}&= \frac{{{\rm Re}\!\left[{f^\prime
\!\left(t \right){f^*}\!\left(t \right)} \right]}}{{\left|
{f\!\left(t \right)} \right|}}\\{{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}}&= \frac{{{\rm Im}\!\left[{f^\prime \!\left(t
\right){f^*}\!\left(t \right)} \right]}}{{{{\left| {f\!\left(t
\right)} \right|}^2}}} - {\omega _c}.\end{split}$$
Clearly, the derivative of the CDoC
amplitude $a$ is zero. Substituting these into
Eq. (21) and
simplifying yields (25)$$\sigma _\omega ^2 =
\frac{1}{J}\int_{- \infty}^\infty {\left| {f^\prime \!\left(t
\right)} \right|^2}{\rm d}t - {\left\{{{\rm
Im}\!\left[{\frac{1}{J}\int_{- \infty}^\infty f^\prime \!\left(t
\right){f^*}\!\left(t \right){\rm d}t} \right]}
\right\}^2}.$$
C. Schell-Model Sources
The general $\sigma _\omega
^2$ expression derived above simplifies
considerably if the MCF of the source takes a Schell-model form [22–24], i.e.,
(26)$$\begin{split}\Gamma
\!\left({{t_1},{t_2}} \right) &= i\!\left({{t_1}}
\right)i\!\left({{t_2}} \right)\gamma \!\left({{t_1} - {t_2}}
\right) \\&= i\!\left({{t_1}} \right)i\!\left({{t_2}}
\right)a\!\left({{t_1} - {t_2}} \right)\exp \!\left[{{\rm j}\psi
\!\left({{t_1} - {t_2}} \right)} \right].\end{split}$$
In this case, the derivatives in
Eq. (21) are
independent of $t$, and only the first two terms
survive: (27)$$\sigma _\omega ^2 =
\frac{1}{J}\int_{- \infty}^\infty {\left[{i^\prime \!\left(t
\right)} \right]^2}{\rm d}t + {\left. {\frac{{{\partial
^2}a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial
{t_2}}}} \right|_{t,t}}.$$
The derivative in Eq. (25) can be recast as a
derivative with respect to $\tau = {t_1} -
{t_2}$ using the chain rule. The final
expression is (28)$$\sigma _\omega ^2 =
\frac{1}{J}\int_{- \infty}^\infty {\left[{i^\prime \!\left(t
\right)} \right]^2}{\rm d}t - {\left. {\frac{{{{\rm
d}^2}a\!\left(\tau \right)}}{{{\rm d}{\tau ^2}}}} \right|_{\tau =
0}}.$$
As discussed above, for a coherent source the
derivative of $a$ is zero, and Eq. (28) simplifies to Eq. (25) [note that the second
term in Eq. (25) is
zero because $i$ is real]. Consequently, the first
term in Eq. (28) must
be the “coherent contribution” to $\sigma _\omega
^2$. This observation permits a physical
form for ${P^2}$, namely,
(29)$${P^2} = \sqrt
{{{\left({{P^{{\rm coh}}}} \right)}^4} - 4\sigma _t^2{{\left.
{\frac{{{{\rm d}^2}a\!\left(\tau \right)}}{{{\rm d}{\tau ^2}}}}
\right|}_{\tau = 0}}} ,$$
where ${({{P^{{\rm coh}}}})^2}
= 2{\sigma _t}\sigma _\omega ^{{\rm coh}}$ and $\sigma _\omega ^{{\rm
coh}} = \sqrt {{{({\sigma _\omega ^{{\rm coh}}})}^2}}$ are given in Eq. (25). This result is the time
analog of the Schell-model ${M^2}$ relation derived in [10].D. Examples
In what follows, we present examples for (1) a cosine-Gaussian
correlated Schell-model pulsed beam and (2) a nonuniformly correlated
pulsed beam.
1. Cosine Gaussian-Correlated Schell-Model Pulsed Beam
The MCF of a cosine Gaussian-correlated Schell-model (CGSM) pulsed
beam takes the form
(30)$$\begin{split}{\Gamma \!\left({{t_1},{t_2}} \right)} &=
{\exp \!\left({- \frac{{t_1^2}}{{4W_t^2}}} \right)\exp
\!\left({- \frac{{t_2^2}}{{4W_t^2}}} \right)}\\&\quad
\times{\cos \!\left[{\frac{{n\sqrt {2\pi} \!\left({{t_1} -
{t_2}} \right)}}{\delta}} \right]\exp \!\left[{-
\frac{{{{\left({{t_1} - {t_2}} \right)}^2}}}{{2{\delta ^2}}}}
\right]}\\&\quad\times{\exp \!\left[{- {\rm j}{\omega
_c}\!\left({{t_1} - {t_2}} \right)}
\right],}\end{split}$$
where ${W_t}$ is the pulse width, $n$ is a positive constant, and $\delta$ is the temporal correlation
(coherence) length [25].
The functions $i$ and $\gamma$ are clear in the above MCF:
(31)$$\begin{split}{i\!\left(t \right)} &= \exp {\left({-
\frac{{{t^2}}}{{4W_t^2}}} \right)}\\{\gamma \!\left(\tau
\right)} &= a{\left(\tau \right)\exp \!\left[{{\rm j}\psi
\!\left(\tau \right)} \right]} \\&= {\cos
\!\left({\frac{{n\sqrt {2\pi} \tau}}{\delta}} \right)\exp
\!\left({- \frac{{{\tau ^2}}}{{2{\delta ^2}}}} \right)\exp
\!\left({- {\rm j}{\omega _c}\tau}
\right).}\end{split}$$
Note that, when $n = 0$, the above MCF simplifies to that
of a Gaussian–Schell-model pulsed beam [23,24].A CGSM beam has the interesting characteristic in that it splits
into two Gaussian-shaped pulses after propagating a certain
distance (depends on $\delta$, $n$, ${W_t}$, and the group velocity
dispersion coefficient) in a second-order-dominant dispersive
medium. In addition, the form of the MCF makes it analytically
tractable in many situations of practical interest. CGSM beams can
easily be synthesized by exploiting the temporal version of the
van Cittert–Zernike theorem [19,26–28].
Applying Eq. (29),
one finds, after simple calculations, that
(32)$${P^2} = \sqrt {1 +
4\frac{{W_t^2}}{{{\delta ^2}}}\!\left({1 + 2\pi {n^2}}
\right)} .$$
Not surprisingly, when $n = 0$, this result is identical (time
swapped for space) to the Gaussian Schell-model ${M^2}$ result in [10,13,29].2. Nonuniformly Correlated Pulsed Beam
We now proceed to a more complicated example. The MCF of this
stochastic pulsed beam is
(33)$$\begin{split}{\Gamma \!\left({{t_1},{t_2}} \right)}& =
{\exp \!\left({- \frac{{t_1^2}}{{4W_t^2}}} \right)\exp
\!\left({- \frac{{t_2^2}}{{4W_t^2}}}
\right)}\\&\quad\times {\exp \left\{{-
\frac{{{{\left[{{{\left({{t_1} - {t_0}} \right)}^2} -
{{\left({{t_2} - {t_0}} \right)}^2}} \right]}^2}}}{{{\delta
^4}}}} \right\}\exp \!\left[{{\rm j}\alpha \!\left({t_1^3 -
t_2^3} \right)} \right]}\\&\quad \times{\exp \left\{{{\rm
j}\beta \!\left[{{{\left({{t_1} - {t_0}} \right)}^2} -
{{\left({{t_2} - {t_0}} \right)}^2}} \right]} \right\}\exp
\!\left[{- {\rm j}{\omega _c}\!\left({{t_1} - {t_2}} \right)}
\right].}\end{split}$$
Again, $i$ and $\gamma$—more importantly, $a$ and $\psi$—are easy to identify, namely,
(34)$$\begin{split}{i\!\left(t \right) }&= {\exp \!\left({-
\frac{{{t^2}}}{{4W_t^2}}} \right)},\\{a\!\left({{t_1},{t_2}}
\right)} &= {\exp \left\{{- \frac{{{{\left[{{{\left({{t_1}
- {t_0}} \right)}^2} - {{\left({{t_2} - {t_0}} \right)}^2}}
\right]}^2}}}{{{\delta ^4}}}} \right\}},\\{\psi
\!\left({{t_1},{t_2}} \right) }&= {\alpha \!\left({t_1^3 -
t_2^3} \right) + \beta \!\left[{{{\left({{t_1} - {t_0}}
\right)}^2} - {{\left({{t_2} - {t_0}} \right)}^2}} \right] -
{\omega _c}\!\left({{t_1} - {t_2}}
\right),}\end{split}$$
where $\alpha$ is the third-order chirp
coefficient, $\beta$ is the second-order chirp
coefficient, and ${t_0}$ is a time delay that shifts $\gamma$ in the ${t_1} -
{t_2}$ plane.This source is a more general version of the nonuniformly
correlated (NUC) pulsed beam introduced in [30]. NUC beams of this type “self-focus” after
propagating a near-zone distance in a second-order dispersive
medium, such as an optical fiber and, therefore, provide a level
of beam/pulse control beyond that of coherent and even
Schell-model sources. NUC beams can be synthesized using a device
known as a Fourier transform pulse shaper [31–33] as was recently done in
[34].
To derive an expression for ${P^2}$, we start with $\sigma _\omega
^2$. Using Eq. (21), and after tedious
yet straightforward calculations, we arrive at
(35)$$\sigma _\omega ^2 =
\frac{1}{{4W_t^2}}\left\{{1 + 8W_t^4\!\left[{9{\alpha ^2}W_t^2
+ 2{\beta ^2} + \frac{4}{{{\delta ^4}}}\!\left({1 +
\frac{{t_0^2}}{{W_t^2}}} \right)} \right]}
\right\}.$$
Substituting Eq. (35) and ${\sigma _t} =
{W_t}$ into Eq. (1) yields the final
result: (36)$${P^2} = \sqrt {1 +
8W_t^4\!\left[{9{\alpha ^2}W_t^2 + 2{\beta ^2} +
4\frac{1}{{{\delta ^4}}}\!\left({1 + \frac{{t_0^2}}{{W_t^2}}}
\right)} \right]} .$$
The first two terms in the brackets
quantify how higher-order phase modulation affects pulse quality,
while the last term accounts for temporal coherence. If $\alpha = \beta =
0$ and $\delta \to
\infty$, the MCF in Eq. (33) simplifies to that of
a fully coherent pulsed Gaussian beam and the ${P^2}$ in Eq. (36) equals
1.In the next section, we validate the above results by computing ${P^2}$, using the definitions in
Eqs. (1)–(4), of
simulated realizations of CGSM and NUC pulsed beams.
3. SIMULATION
Before presenting the simulation results, we discuss the details of the
simulation setup.
A. Setup
We computed the MCF and ${P^2}$ from 10,000 statistically independent
CGSM and NUC beam realizations. The CGSM beam parameters were ${W_t} = 30\;{\rm
ps}$, $\delta = 15\;{\rm
ps}$, and $n = 1.5$, and the NUC parameters were ${W_t} = 30\;{\rm
ps}$, $\delta = 30\;{\rm
ps}$, $\alpha = 5 \times {10^{-
5}}\;{{\rm ps}^{- 3}}$, $\beta = 5 \times {10^{-
4}}\;{{\rm ps}^{- 2}}$, and ${t_0} = - 5 \;{\rm
ps}$.
We generated the CGSM and NUC beam realizations using the method
described in [35]. This
approach uses the integral form of the MCF, known colloquially as the
superposition rule [36–38], and requires the numerical evaluation of the following
superposition integral:
(37)$$U\!\left(t \right) =
\int_{- \infty}^\infty r\!\left(v \right)\sqrt
{\frac{1}{2}p\!\left(v \right)} H\!\left({t,v} \right){\rm
d}v,$$
where $r$ is a zero-mean, unit-variance,
delta-correlated, complex Gaussian random function. The $p$ and $H$ are source dependent. For the CGSM
beam, (38)$$\begin{split}{p\!\left(v \right)}& = {\frac{\delta}{{\sqrt
{2\pi}}}\cosh \!\left({n\sqrt {2\pi} \delta v} \right)\exp
\!\left({- \frac{{{\delta ^2}{v^2} + 2\pi {n^2}}}{2}}
\right)}\\{H\!\left({t,v} \right) }&= {\exp \!\left({-
\frac{{{t^2}}}{{4W_t^2}}} \right)\exp \!\left({{\rm j}vt}
\right),}\end{split}$$
and for the NUC beam,
(39)$$\begin{split}{p\!\left(v \right)} &= {\frac{{{\delta
^2}}}{{2\sqrt \pi}}\exp \!\left[{- \frac{{{\delta
^4}}}{4}{{\left({v - \beta} \right)}^2}} \right]}\\{H\!\left({t,v}
\right)}& ={ \exp \!\left({- \frac{{{t^2}}}{{4W_t^2}}}
\right)\exp \!\left({{\rm j}\alpha {t^3}} \right)\exp
\!\left[{{\rm j}{{\left({t - {t_0}} \right)}^2}v}
\right].}\end{split}$$
Note that the complex exponential in the CGSM $H$ is the Fourier kernel; therefore, we
generated CGSM realizations using fast Fourier transforms (FFTs)
[39,40]. On the other hand, the NUC $H$ is a Fourier-like kernel, and,
although NUC beams can be generated using FFTs and clever
substitutions [35,41], here we evaluated Eq. (37) as a matrix-vector
product.
For the CGSM and NUC beam realizations, we discretized the $t$ axis of $U$ using $N = 1000$ points. The sampling time was $\Delta t = \min
({{W_t},\delta})/50$, i.e., 0.3 and 0.6 ps for the CGSM
and NUC simulations, respectively. These $\Delta t$ ensured that there were at least 50
points across the CGSM and NUC MCFs. Since we produced CGSM
realizations using FFTs, the $v$-axis spacing, ${\rm d}v$ in Eq. (37), was set by $N$ and $\Delta t$, i.e., ${\rm d}v = \Delta v =
2\pi /({N\Delta t})$. We chose the $\Delta v$ for the NUC realizations so that 50
points spanned the width of $p$ in Eq. (39).
Last, for each CGSM and NUC realization, we computed $\sigma _t^2$ and $\sigma _\omega
^2$ using Eqs. (2) and (3) and evaluated the integrals
using the trapezoid rule. In the case of $\sigma _\omega
^2$, we Fourier-transformed (using an
FFT) $U(t)$, took the magnitude square of the
result, and used the CSD expressions in Eqs. (2) and (3). ${P^2}$ was computed using Eq. (1).
B. Results
Figures 1 and 2 report the CGSM and NUC results,
respectively. The figures are organized in the same manner: (a) and
(b) show the theoretical and simulated ${\rm Re}[{\Gamma
({{t_1},{t_2}})}]$; (c) and (d) show the corresponding ${\rm Im}[{\Gamma
({{t_1},{t_2}})}]$; (e) plots the theoretical and
simulated $\Gamma ({t,t}) =
\left\langle {I(t)} \right\rangle$; and (f) shows ${P^2}$ versus stochastic field realization
number. Images (a) and (b) are encoded using the same false color
scale defined by the color bar immediately to the right of (b),
likewise for images (c) and (d).
The agreement between the theoretical and simulated results is
excellent. The simulated ${P^2}$ for both beams converges to the
theoretical result within approximately 1000 realizations. The quality
of the results displayed in Figs. 1 and 2 validates the
analysis of the previous section.
4. CONCLUSION
In summary, the pulse quality factor ${P^2}$, defined in terms of RMS widths, has
inherent advantages over the time-bandwidth product (TBP), i.e., the
traditional measure of pulse quality. This last point is especially true
for fields with complex pulse shapes and spectra. Our work generalized ${P^2}$, originally presented for coherent
fields, to nonstationary random fields of any state of coherence. We began
by deriving a general expression for ${P^2}$ in terms of the shape and temporal
correlation function of the pulsed stochastic field. We then specialized
that result to the important cases of coherent and Schell-model (uniformly
correlated) sources before presenting two examples: a cosine
Gaussian-correlated Schell model and nonuniformly correlated pulsed beam.
Last, we validated our work by generating both of these sources in
simulation and comparing sample ${P^2}$ to the derived theoretical quantities.
The agreement between simulation and theory was excellent.
It is important to note that interferometric techniques could be used to
experimentally measure ${P^2}$. For example, [42] recently showed that reduced pulse quality has a
measurable effect on the signal-to-noise ratio of pulsed
digital-holography systems. Therefore, we believe that the generalized
theory presented in this paper will enable experimental validation in the
near future. Analogously, the experimental measurement of ${P^2}$ could also be used to improve the
performance of coherent-detection systems at large, which have numerous
applications in unconventional imaging, as well as laser-based sensing and
communications. These systems often involve the interference of highly
sophisticated pulsed waveforms (in terms of magnitude and phase), which
inevitably include cases where the TBP (in particular, the FWHM
definition) has limited utility as a pulse-quality metric. This last point
serves to further motivate the generalization of ${P^2}$ contained in this paper.
APPENDIX A: PROOF OF EQ. (5)
Starting with
(A1)$$\Gamma
\!\left({{t_1},{t_2}} \right) = \iint_{- \infty}^\infty
W\!\left({{\omega _1},{\omega _2}} \right)\exp \!\left[{- {\rm
j}\!\left({{\omega _1}{t_1} - {\omega _2}{t_2}} \right)}
\right]{\rm d}{\omega _1}{\rm d}{\omega _2},$$
we take the partial derivative with
respect to
${t_1}$, such that
(A2)$$\begin{split}\frac{{\partial \Gamma \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}}}&= - {\rm j}\iint_{- \infty}^\infty
{\omega _1}W\!\left({{\omega _1},{\omega _2}}
\right)\\&\quad\times\exp \!\left[{- {\rm j}\!\left({{\omega
_1}{t_1} - {\omega _2}{t_2}} \right)} \right]{\rm d}{\omega
_1}{\rm d}{\omega _2}.\end{split}$$
We now Fourier-transform both sides of
Eq. (
A2) and, after
changing the order of the integrals, obtain
(A3)$$\begin{split}&{\frac{1}{{{{\left({2\pi} \right)}^2}}}
\iint_{- \infty}^\infty \frac{{\partial \Gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}\exp
\!\left[{{\rm j}\!\left({{{\omega ^\prime_1}}{t_1} - {{\omega
^\prime_2}}{t_2}} \right)} \right]{\rm d}{t_1}{\rm
d}{t_2}}\\[-4pt]&\quad ={ \frac{{- {\rm j}}}{{{{\left({2\pi}
\right)}^2}}}\iint_{- \infty}^\infty {\omega _1}W\!\left({{\omega
_1},{\omega _2}} \right) \iint_{- \infty}^\infty \exp \!\left[{-
{\rm j}\!\left({{\omega _1} - {{\omega ^\prime_1}}} \right){t_1}}
\right]}\\[-4pt]&\qquad\times{\exp \!\left[{{\rm
j}\!\left({{\omega _2} - {{\omega ^\prime_2}}} \right){t_2}}
\right]{\rm d}{t_1}{\rm d}{t_2}{\rm d}{\omega _1}{\rm d}{\omega
_2}.}\end{split}$$
The
${t_1},{t_2}$ integrals on the right-hand side of
Eq. (
A3) evaluate to
${({2\pi})^2}\delta
({{\omega _1} - {{\omega ^\prime_1}}})\delta ({{\omega _2} -
{{\omega ^\prime_2}}})$, where
$\delta$ is the Dirac delta function. The
remaining integrals over
${\omega _1},{\omega
_2}$ are now trivial. The simplified
result is
(A4)$$\begin{split}&\frac{1}{{{{\left({2\pi}
\right)}^2}}}\iint_{- \infty}^\infty \frac{{\partial \Gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}\exp
\!\left[{{\rm j}\!\left({{\omega _1}{t_1} - {\omega _2}{t_2}}
\right)} \right]{\rm d}{t_1}{\rm d}{t_2}\\[-4pt]&\quad = -
{\rm j}{\omega _1}W\!\left({{\omega _1},{\omega _2}}
\right).\end{split}$$
Last, we set
${\omega _1} = {\omega
_2} = \omega$ and integrate both sides of
Eq. (
A4) over all
$\omega$ resulting in
(A5)$$\begin{split}\int_{-
\infty}^\infty \omega W\!\left({\omega ,\omega} \right){\rm
d}\omega &= \frac{{\rm j}}{{{{\left({2\pi} \right)}^2}}}
\iint_{- \infty}^\infty \frac{{\partial \Gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}\int_{-
\infty}^\infty \\[-4pt]&\quad\exp \!\left[{{\rm j}\omega
\!\left({{t_1} - {t_2}} \right)} \right]{\rm d}\omega {\rm
d}{t_1}{\rm d}{t_2}.\end{split}$$
The
$\omega$
integral on the right-hand side of Eq. (
A5) is
$2\pi \delta ({{t_1} -
{t_2}})$, making one of the remaining two
integrals trivial:
(A6)$$\int_{- \infty}^\infty
\omega W\!\left({\omega ,\omega} \right){\rm d}\omega = \frac{{\rm
j}}{{2\pi}}\int_{- \infty}^\infty {\left. {\frac{{\partial \Gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|_{t,t}}{\rm d}t.$$
Having derived the numerator of $\langle \omega
\rangle$ [see Eq. (3)], we now proceed to the
denominator. Starting with
(A7)$$W\!\left({{\omega
_1},{\omega _2}} \right) = \frac{1}{{{{\left({2\pi}
\right)}^2}}}\iint_{- \infty}^\infty \Gamma \!\left({{t_1},{t_2}}
\right)\exp \!\left[{{\rm j}\!\left({{\omega _1}{t_1} - {\omega
_2}{t_2}} \right)} \right]{\rm d}{t_1}{\rm d}{t_2},$$
we set
${\omega _1} = {\omega
_2} = \omega$ and integrate both sides over all
$\omega$, such that
(A8)$$\begin{split}\int_{-
\infty}^\infty W\!\left({\omega ,\omega} \right){\rm d}\omega
&= \frac{1}{{{{\left({2\pi} \right)}^2}}}\iint_{-
\infty}^\infty \Gamma \!\left({{t_1},{t_2}}
\right)\\[-4pt]&\quad\times\int_{- \infty}^\infty \exp
\!\left[{{\rm j}\omega \!\left({{t_1} - {t_2}} \right)}
\right]{\rm d}\omega {\rm d}{t_1}{\rm
d}{t_2}.\end{split}$$
Again, the
$\omega$ integral on the right-hand side of
the above expression is a Dirac delta function. Evaluating one of the
remaining two integrals simplifies Eq. (
A8) to
(A9)$$\int_{- \infty}^\infty
W\!\left({\omega ,\omega} \right){\rm d}\omega =
\frac{1}{{2\pi}}\int_{- \infty}^\infty \Gamma \!\left({t,t}
\right){\rm d}t.$$
Dividing Eq. (
A6) by (
A9) yields Eq. (
5).
APPENDIX B: PROOF OF EQ. (6)
Following a similar approach as that described in Appendix A, we begin by taking the mixed partial
of Eq. (A1), i.e.,
(B1)$$\begin{split}\frac{{{\partial ^2}\Gamma \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}} &= \iint_{-
\infty}^\infty {\omega _1}{\omega _2}W\!\left({{\omega _1},{\omega
_2}} \right)\\[-4pt]&\quad\times\exp \!\left[{- {\rm
j}\!\left({{\omega _1}{t_1} - {\omega _2}{t_2}} \right)}
\right]{\rm d}{\omega _1}{\rm d}{\omega
_2}.\end{split}$$
We then Fourier-transform both sides of
the above expression, producing
(B2)$$\begin{split}{\omega
_1}{\omega _2}W\!\left({{\omega _1},{\omega _2}} \right) &=
\frac{1}{{{{\left({2\pi} \right)}^2}}}\iint_{- \infty}^\infty
\frac{{{\partial ^2}\Gamma \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial
{t_2}}}\\[-4pt]&\quad\times\exp \!\left[{{\rm
j}\!\left({{\omega _1}{t_1} - {\omega _2}{t_2}} \right)}
\right]{\rm d}{t_1}{\rm d}{t_2}.\end{split}$$
Last, we set
${\omega _1} = {\omega
_2} = \omega$ and integrate both sides over all
$\omega$ resulting in
(B3)$$\int_{- \infty}^\infty
{\omega ^2}W\!\left({\omega ,\omega} \right){\rm d}\omega =
\frac{1}{{2\pi}}\int_{- \infty}^\infty {\left. {\frac{{{\partial
^2}\Gamma \!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial
{t_2}}}} \right|_{t,t}}{\rm d}t.$$
Dividing Eq. (
B3) by (
A9) yields Eq. (
6).
APPENDIX C: PROOF OF EQ. (13)
Returning to Eq. (A2),
we set ${t_1} = {t_2} =
t$ and obtain
(C1)$$\begin{split}{\left.
{\frac{{\partial \Gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|_{t,t}}& = - {\rm j} \iint_{- \infty}^\infty
{\omega _1}W\!\left({{\omega _1},{\omega _2}}
\right)\\[-4pt]&\quad\times\exp \!\left[{- {\rm
j}\!\left({{\omega _1} - {\omega _2}} \right)t} \right]{\rm
d}{\omega _1}{\rm d}{\omega _2}.\end{split}$$
Likewise, taking the partial derivative
of Eq. (
A1) with
respect to
${t_2}$ and setting
${t_1} = {t_2} =
t$ yields
(C2)$${\left.
{\frac{{\partial \Gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_2}}}} \right|_{t,t}} = {\rm j} \iint_{- \infty}^\infty {\omega
_2}W\!\left({{\omega _1},{\omega _2}} \right)\exp \!\left[{{\rm
j}\!\left({{\omega _1} - {\omega _2}} \right)t} \right]{\rm
d}{\omega _1}{\rm d}{\omega _2}.$$
We now take the conjugate of Eq. (
C2) and make use of the fact
that the CSD function is Hermitian, i.e.,
${W^*}({{\omega
_1},{\omega _2}}) = W({{\omega _2},{\omega _1}})$:
(C3)$$\begin{split}{\left[{{{\left. {\frac{{\partial \Gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_2}}}}
\right|}_{t,t}}} \right]^*} &= - {\rm j}\iint_{-
\infty}^\infty {\omega _2}W\!\left({{\omega _2},{\omega _1}}
\right)\\[-4pt]&\quad\times\exp \!\left[{- {\rm
j}\!\left({{\omega _2} - {\omega _1}} \right)t} \right]{\rm
d}{\omega _2}{\rm d}{\omega _1}.\end{split}$$
The integrals in Eqs. (
C1) and (
C3) are equal; therefore,
(C4)$${\left.
{\frac{{\partial \Gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|_{t,t}} = {\left[{{{\left. {\frac{{\partial \Gamma
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_2}}}}
\right|}_{t,t}}} \right]^*}.$$
Substituting
in the expression for
$\Gamma$ given in Eq. (
8) and evaluating the
derivatives yields Eq. (
13).
APPENDIX D: PROOF OF EQ. (20)
A genuine MCF (square integrable, Hermitian, and non-negative definite)
can be expanded in a set of orthogonal modes, such
that
(D1)$$\Gamma
\!\left({{t_1},{t_2}} \right) = \sum\limits_n {\lambda
_n}{g_n}\!\left({{t_1}} \right)g_n^*\!\left({{t_2}}
\right),$$
where
${\lambda _n} \geq
0$ and
${g_n}$ are solutions to the integral
equation
(D2)$$\int_{- \infty}^\infty
\Gamma \!\left({{t_1},{t_2}} \right){g_n}\!\left({{t_2}}
\right){\rm d}{t_2} = {\lambda _n}{g_n}\!\left({{t_1}}
\right).$$
Equation (
D1) is known as the coherent-modes representation of
$\Gamma$ [
22–
24,
43–
45]. Using Eq. (
8), the CDoC
$\gamma$ in terms of coherent modes is
(D3)$$\begin{split}{\gamma
\!\left({{t_1},{t_2}} \right)} ={ a\!\left({{t_1},{t_2}}
\right)\exp \!\left[{{\rm j}\psi \!\left({{t_1},{t_2}} \right)}
\right]}\\ {= \sum\limits_n {\lambda
_n}\frac{{{g_n}\!\left({{t_1}} \right)}}{{\sqrt {\sum\limits_n
{\lambda _n}{{\left| {{g_n}\!\left({{t_1}} \right)}
\right|}^2}}}}\frac{{g_n^*\!\left({{t_2}} \right)}}{{\sqrt
{\sum\limits_n {\lambda _n}{{\left| {{g_n}\!\left({{t_2}} \right)}
\right|}^2}}}}.}\end{split}$$
We now compute the partial derivative of
$\gamma$ with respect to
${t_1}$ and evaluate the result at
${t_1} = {t_2} =
t$:
(D4)$$\begin{split}{{{\left.
{\frac{{\partial \gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}} = {{{\left. {\frac{{\partial
a\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}} + {\rm j}{{\left. {\frac{{\partial \psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}}}}
\right|}_{t,t}}}\\ = {\sum\limits_n {\lambda
_n}\frac{{g_n^*\!\left(t \right)}}{{\sqrt {\sum\limits_n {\lambda
_n}{{\left| {{g_n}\!\left(t \right)}
\right|}^2}}}}\!\left[{\frac{{\rm d}}{{{\rm
d}t}}\frac{{{g_n}\!\left(t \right)}}{{\sqrt {\sum\limits_n
{\lambda _n}{{\left| {{g_n}\!\left(t \right)} \right|}^2}}}}}
\right].}\end{split}$$
The derivative in the brackets, after
some lengthy calculations, evaluates to
(D5)$$\begin{split}\frac{{\rm
d}}{{{\rm d}t}}\frac{{{g_n}\!\left(t \right)}}{{\sqrt
{\sum\nolimits_n {\lambda _n}{{\left| {{g_n}\!\left(t \right)}
\right|}^2}}}}& = \frac{{{{g^\prime_n}}\!\left(t
\right)}}{{\sqrt {\sum\nolimits_n {\lambda _n}{{\left|
{{g_n}\!\left(t \right)} \right|}^2}}}} \\&\quad-
\frac{{{g_n}\!\left(t \right)}}{{\sqrt {\sum\nolimits_n {\lambda
_n}{{\left| {{g_n}\!\left(t \right)}
\right|}^2}}}}\frac{{\sum\nolimits_n {\lambda _n}{\rm
Re}\!\left[{{{g^\prime_n}}\!\left(t \right)g_n^*\!\left(t \right)}
\right]}}{{\sum\nolimits_n {\lambda _n}{{\left| {{g_n}\!\left(t
\right)} \right|}^2}}}.\end{split}$$
Substituting Eq. (
D5) into Eq. (
D4) and expanding out the
terms yields
(D6)$$\begin{split}{{{\left.
{\frac{{\partial \gamma \!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|}_{t,t}}}&= {\frac{{\sum\nolimits_n {\lambda
_n}\left\{{{{g^\prime_n}}\!\left(t \right)g_n^*\!\left(t \right) -
{\rm Re}\!\left[{{{g^\prime_n}}\!\left(t \right)g_n^*\!\left(t
\right)} \right]} \right\}}}{{\sum\nolimits_n {\lambda _n}{{\left|
{{g_n}\!\left(t \right)} \right|}^2}}}}\\&={ {\rm
j}\frac{{\sum\nolimits_n {\lambda _n}{\rm
Im}\!\left[{{{g^\prime_n}}\!\left(t \right)g_n^*\!\left(t \right)}
\right]}}{{\sum\nolimits_n {\lambda _n}{{\left| {{g_n}\!\left(t
\right)} \right|}^2}}}.}\end{split}$$
Since Eq. (
D6) is purely imaginary,
(D7)$${\left.
{\frac{{\partial a\!\left({{t_1},{t_2}} \right)}}{{\partial
{t_1}}}} \right|_{t,t}} = 0.$$
This proves the first identity in Eq. (20). To prove the second, we now compute the mixed
partial of $\gamma$ and evaluate the result at ${t_1} = {t_2} =
t$:
(D8)$$\begin{split}{{{\left.
{\frac{{{\partial ^2}\gamma \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}} \right|}_{t,t}}}&=
{{{\left. {\frac{{{\partial ^2}a\!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}} \right|}_{t,t}} +
{{\left[{{{\left. {\frac{{\partial \psi \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}}}} \right|}_{t,t}}} \right]}^2}
}\\&\quad+ {{\rm j}{{\left. {\frac{{{\partial ^2}\psi
\!\left({{t_1},{t_2}} \right)}}{{\partial {t_1}\partial {t_2}}}}
\right|}_{t,t}}}\\ &= {\sum\nolimits_n {\lambda
_n}\!\left[{\frac{{\rm d}}{{{\rm d}t}}\frac{{g_n^*\!\left(t
\right)}}{{\sqrt {\sum\nolimits_n {\lambda _n}{{\left|
{{g_n}\!\left(t \right)} \right|}^2}}}}}
\right]}\\&\quad\times{\left[{\frac{{\rm d}}{{{\rm
d}t}}\frac{{{g_n}\!\left(t \right)}}{{\sqrt {\sum\nolimits_n
{\lambda _n}{{\left| {{g_n}\!\left(t \right)} \right|}^2}}}}}
\right]}\\& = {\sum\nolimits_n {\lambda _n}{{\left|
{\frac{{\rm d}}{{{\rm d}t}}\frac{{{g_n}\!\left(t \right)}}{{\sqrt
{\sum\nolimits_n {\lambda _n}{{\left| {{g_n}\!\left(t \right)}
\right|}^2}}}}} \right|}^2}.}\end{split}$$
Because Eq. (
D8) is real,
(D9)$${\left.
{\frac{{{\partial ^2}\psi \!\left({{t_1},{t_2}}
\right)}}{{\partial {t_1}\partial {t_2}}}} \right|_{t,t}} =
0.$$
Acknowledgment
M. Hyde would like to thank the Air Force Office of Scientific Research
(AFOSR) Physical and Biological Sciences Branch (RTB) for supporting this
work. O. Korotkova acknowledges the support from the University of Miami
under the Cooper Fellowship program. M. Spencer would like to thank the
AFOSR for sponsoring this research under the auspices of an Air Force
Research Laboratory Science and Engineering Early Career Award. The views
expressed in this paper are those of the authors and do not reflect the
official policy or position of the US Air Force, the Department of
Defense, or the US government.
Disclosures
The authors declare no conflicts of interest.
Data availability
No data were generated or analyzed in the presented research.
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