Valerio Di Giulio1, Ofer Kfir2,3, Claus Ropers2,3, F Javier García de Abajo1,4. 1. ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain. 2. IV Physical Institute, Solids and Nanostructures, University of Göttingen, 37077 Göttingen, Germany. 3. Max Planck Institute for Biophysical Chemistry (MPIBPC), 37077 Göttingen, Germany. 4. ICREA-Institució Catalana de Recerca i Estudis Avançats, Passeig Lluís Companys 23, 08010 Barcelona, Spain.
Abstract
Spontaneous processes triggered in a sample by free electrons, such as cathodoluminescence, are commonly regarded and detected as stochastic events. Here, we supplement this picture by showing through first-principles theory that light and free-electron pulses can interfere when interacting with a nanostructure, giving rise to a modulation in the spectral distribution of the cathodoluminescence light emission that is strongly dependent on the electron wave function. Specifically, for a temporally focused electron, cathodoluminescence can be canceled upon illumination with a spectrally modulated dimmed laser that is phase-locked relative to the electron density profile. We illustrate this idea with realistic simulations under attainable conditions in currently available ultrafast electron microscopes. We further argue that the interference between excitations produced by light and free electrons enables the manipulation of the ultrafast materials response by combining the spectral and temporal selectivity of the light with the atomic resolution of electron beams.
Spontaneous processes triggered in a sample by free electrons, such as cathodoluminescence, are commonly regarded and detected as stochastic events. Here, we supplement this picture by showing through first-principles theory that light and free-electron pulses can interfere when interacting with a nanostructure, giving rise to a modulation in the spectral distribution of the cathodoluminescence light emission that is strongly dependent on the electron wave function. Specifically, for a temporally focused electron, cathodoluminescence can be canceled upon illumination with a spectrally modulated dimmed laser that is phase-locked relative to the electron density profile. We illustrate this idea with realistic simulations under attainable conditions in currently available ultrafast electron microscopes. We further argue that the interference between excitations produced by light and free electrons enables the manipulation of the ultrafast materials response by combining the spectral and temporal selectivity of the light with the atomic resolution of electron beams.
Entities:
Keywords:
PINEM; cathodoluminescence; electron spectroscopies; electron-beam photonics; light−matter interactions; ultrafast electron microscopy
Coherent
laser light provides a standard tool to selectively create optical
excitations in atoms, molecules, and nanostructures with exquisite
spectral resolution.[1] Additional selectivity
in the excitation process can be gained by exploiting the light polarization
and the spatial distribution of the optical field to target, for example,
modes with specific angular momentum in a specimen.[2] However, the diffraction limit constrains our ability to
selectively act on degenerate excitation modes sustained by structures
that are separated by either less than half the light wavelength when
using far-field optics (unless ingenious, sample-dependent schemes
are adopted[3−5]) or a few tens of nanometers when resorting to near-field
enhancers such as metallic tips.[6−8] In contrast to light, electron
beams, which are also capable of producing optical excitations,[9] can actuate with a spatial precision roughly
determined by their lateral size, currently reaching the sub-angstrom
domain in state-of-the-art electron microscopes.[10−12] Indeed, the
evanescent electromagnetic field accompanying a fast electron spans
a broadband spectrum that mediates the transfer of energy and momentum
to sample excitation modes with such degree of spatial accuracy.[9] However, spectral selectivity is unfortunately
lost because of the broadband nature of this excitation source, unless
postselection is performed by energy filtering of the electrons, as
done for instance in electron energy-loss spectroscopy.[9,13,14]Photons and electrons team
up to extract the best of both worlds in the rapidly evolving field
of ultrafast transmission electron microscopy (UTEM), whereby the
high spatial precision of electron microscopes is combined with the
time resolution and spectral selectivity of optical spectroscopy.
In this technique, ultrashort electron pulses created by photoelectron
emission are used to track structural or electronic excitations with
picosecond and femtosecond temporal resolution.[15−25] Regarding electron–photon interaction, UTEM allows us to
exploit the evanescent optical field components created by light scattering
at nanostructures, so that the interaction is facilitated by passing
the free electron beam through these fields, thus enabling spectrally
and temporally resolved imaging with combined resolution in the nanometer–femtosecond–millielectronvolt
domain via the so-called photon-induced near-field
electron microscopy (PINEM) technique.[17,20,22,26−54] This approach has been exploited to investigate the temporal evolution
of plasmons[30,31] and optical cavity modes,[50,51] as well as a way to manipulate the electron by exchanging transverse
linear[36,39,55] and angular[40,44] momentum with the photon field.Following concepts from accelerator
physics,[56] temporal compression of the
electron beam into a train of attosecond pulses can be achieved by
periodic momentum modulation and free-space propagation, using either
ponderomotive forces[57−59] or PINEM-like inelastic electron-light scattering
interactions.[20,37,41,42,60,61] Accompanying these advances in our ability to manipulate
free electrons, recent theoretical studies have explored the use of
modulated free electrons to gain control over the density matrix of
excitations created in a sample.[62−999] Intriguingly, the cathodoluminescence (CL)
emission produced by a PINEM-modulated electron has been predicted
to bear coherence with the laser used to achieve such modulation,
which could be revealed through correlations in an interferometer.[63] This scenario holds the potential to combine
light and electrons as coherent probes acting on a sample, possibly
enabling practical applications in pushing the space–time–energy
levels of resolution beyond their current values. Although we refer
to coherence in a precise way in what follows (i.e., the interference of two phase-locked signals), this
term can have various meanings when applied to different types of
processes, so we provide a discussion of possible interpretations
in the context of electron microscopy in the Supporting Information.The CL intensity is extremely low in most
samples (≲10–5 photons per electron), unless
we restrict ourselves to special classes of targets (e.g., those enabling phase matching between the emitted radiation and
the electron[45,49,66]). When measuring far-field radiation, the visibility of the interference
between CL emission and external light could be enlarged by dimming
the latter to match the former. Shot noise that could potentially
mask the resulting interference is avoided if photon measurements
are performed at a single detector (i.e., after the
amplitudes of CL and external light have been coherently superimposed).
Based on this idea, we anticipate that the use of dimmed illumination
in combination with CL light emission represents a practical route
toward the sought-after push in space–time–energy resolution
with which we can image and manipulate optical excitations at the
nanoscale.Here, we show that the optical excitations produced
in a structure by the combined effect of light and free electrons
can add coherently, therefore providing a tool for actively manipulating
sample excitations. The combination of light and electrons adds the
spatial resolution of the latter to the spectral selectivity of the
former in our ability to manipulate and probe nanoscale materials
and their optical response. Specifically, we illustrate this possibility
by showing that the CL emission produced by a free electron can be
coherently controlled by simultaneously exciting the sample with suitably
modulated external light. We demonstrate that it is possible to strongly
modulate the CL emission using currently existing technology, while
complete cancellation of CL is physically feasible using tightly compressed
electron wavepackets, which act as classical external point charges.
The present work thus capitalizes on the correlation between CL from
modulated electrons and synchronized external light as discussed in
ref (63), so we propose
a disruptive form of ultrafast electron microscopy based on the direct
observation of interference between CL emission and dimmed light scattering
at a single photon spectrometer. We anticipate the application of
interference in the excitations produced by the simultaneous action
of light and electrons as a route toward spectrally resolved imaging
and selective excitation of sample optical modes with an improved
level of space–time–energy resolution. The sensitivity
provided by the measurement of the relative phases between electron
and laser waves could be further enhanced through lock-in amplification
schemes that isolate the interference effects to gain information
on both the electron density profile and the temporal evolution of
the targeted optical excitations.
Results and Discussion
First-Principles
Description of CL Interference with External Light
We consider
the combined action of external light and free electrons on a sampled
structure, such as schematically illustrated in Figure . Under common conditions met in electron
microscopes, the electrons can be prepared with well-defined velocity,
momentum, and energy, such that their wave functions consist of components
that have a narrow spread relative to those values. Additionally,
we adopt the nonrecoil approximation by assuming that any interaction
with the specimen produces negligible departures of the electron velocity
with respect to its average value (i.e., small momentum
transfers relative to the central electron momentum). Under these
conditions, we calculate the far-field radiation intensity produced
by the combined contributions of interaction with the electron and
scattering from a laser, based on the far-field Poynting vector. In
a fully quantum treatment of radiation, the angle- and frequency-resolved
far-field (ff) photon probability reduces towhere k = ω/c (see detailed derivation in Methods). This expression is the quantum counterpart
of a classical result for CL,[9] now involving
the position- and frequency-dependent positive-energy part of the
electric and magnetic field operators (r,ω) and (r,ω), respectively. We follow a quantum electrodynamics
formalism in the presence of dispersive and absorptive media[67,68] to calculate this quantity for a free electron of incident wave
function ψ0(r) and external light characterized
by a spectrally resolved electric field amplitude Eext(r,ω). After some analysis (see Methods), taking the electron velocity vector v along z, we findwhereis the Fourier transform
of the electron probability density, which acts as a coherence factor.
Here, we use the notation r = (R, z) with R = (x, y), and we define the electric far-field
amplitudes f CL(R, ω)
and f scat(ω) through the asymptotic
expressionscorresponding to the classical CL and laser-scattering contributions,
respectively. It should be noted that we only retain the 1/r radiative components of the far field in dΓrad/dΩdω (see eqs and 4), which is a legitimate procedure
when considering directions in which they do not interfere with the
external illumination. Nevertheless, interference between the incident
and forward 1/r radiative components produces an
additional contribution dΓforward/dΩdω (i.e., dΓff/dΩdω = (dΓrad/dΩdω) + (dΓforward/dΩdω)),
as we discuss below in relation to the energy pathways associated
with the interaction. The specimen is assumed to be characterized
by a linear and local electromagnetic response, which enters this
formalism through the Green tensor, implicitly defined bywhere ϵ(r,ω) is the position- and frequency-dependent
permittivity. The first and second terms in eq describe the separate contributions from
CL and light scattering, respectively, whereas the third term accounts
for interference between them. We remark that this result relies on
the nonrecoil approximation for the electron, which allows us to replace
its associated current operator by the average expectation value under
the assumption that v remains unaffected by the interaction.
Figure 1
Sketch
of the system under consideration. A laser pulse and a modulated electron
are made to interact with a sample and produce light scattering and
cathodoluminescence (CL) emission, respectively. The electron is synchronized
with the laser pulse to maintain mutual phase coherence. The resulting
emitted and scattered photons are collected by a spectrometer. A laser
pulse shaper is inserted in this scheme to bring the scattered light
amplitude to a level that is commensurate with the CL emission field.
Sketch
of the system under consideration. A laser pulse and a modulated electron
are made to interact with a sample and produce light scattering and
cathodoluminescence (CL) emission, respectively. The electron is synchronized
with the laser pulse to maintain mutual phase coherence. The resulting
emitted and scattered photons are collected by a spectrometer. A laser
pulse shaper is inserted in this scheme to bring the scattered light
amplitude to a level that is commensurate with the CL emission field.Interestingly, the CL emission in the absence of
external illumination (i.e., the first term in eq ) is constructed as an
incoherent sum of contributions from different lateral positions R′ across the electron beam[69,70] (i.e., no interference remains in this signal between
the CL emission from different lateral positions of the beam). In
contrast, the signal associated with the interference between CL and
light scattering (third term in eq ) contains additive contributions from different lateral
electron-beam positions R′. Interestingly, this
effect is genuinely associated with interference between different
lateral positions of the beam because the light scattering amplitude f scat(ω) in that equation does
not depend on R′.For completeness, we note
that eq can be written
in the more compact formwhich directly
reflects the interference between CL and laser scattering. In addition,
our results can easily be generalized to deal with several distinguishable
electrons (labeled by superscripts j), for which
we have (see derivation in Methods)where Mω/ is given by eq with ψ0 replaced by ψ (the wave function of electron j). In the
absence of external light (i.e., with f CL = 0), this expression converges to the multielectron
excitation probability described elsewhere.[70]While the above results are derived for electrons prepared
in pure states (i.e., with well-defined wave functions),
the extension to mixed electron states is readily obtained by evaluating
the averages in eqs as Tr{ĵel(r′,ω)ĵel†(r″,ω)ρ̂} and Tr{ĵel(r′,ω)ρ̂}, respectively, where ρ̂ is the electron density matrix of electron j. This leads exactly to the same expressions as above but replacing
|ψ(r)|2 by the probability densities ⟨r|ρ̂|r⟩, which allow us to describe electrons that have undergone decoherence
processes before interacting with the sample.We present results
below for nanoparticles whose optical response can be described through
an isotropic, frequency-dependent polarizability α(ω).
Considering a well-focused electron with impact parameter R0 relative to the particle position r = 0
(i.e., an electron probability density |ψ0(r)|2 ≈ δ(R – R0)|ψ∥(z)|2), we find that eq then reduces towhereHere, is the Lorentz factor,
and we now havefor the electron coherence
factor. These expressions clearly reveal that, although the phase
of the electron wave function is erased because only the probability
density appears in eq , the mutual electron-light coherence is controlled by the temporal
profile of that density, as well as its timing with respect to the
light field, which produces a global phase in Mω/v relative to the light field that in turn
enters through the first term inside the square brackets in eq (e.g., to partially cancel the CL emission). Obviously, without electron-laser
timing, averaging over this phase difference cancels such interference.Reassuringly, eq reduces to well-known expressions for the CL emission when setting Eext = 0 (i.e., in the absence
of external light). This result is independent of the electron wave
function.[63,64,70,71] Conversely, we recover the photon scattering probability
∝ ω3|α|2 when Eel = 0 (i.e., without the electron).
An additional element of intuition is gained by the fact that the
expression for Eel(R0,ω) corresponds to the spectrally resolved evanescent field
produced by a classical point electron,[9] which decays exponentially away from the trajectory, as described
by the modified Bessel functions K0 and K1.The electron coherence factor Mω/ in eq (and similarly Mω/(R) in eq ) determines
the degree of coherence (DOC) of the electron excitation (i.e., the CL emission) relative to the signal originating
in the laser (i.e., light scattering). This factor
enters eq through terms
proportional to DOC(ω) = |Mω/|2, where we use the definition
of DOC introduced in ref (63). Indeed, for Mω/ = 0, the scattered light field does not
mix at all with the CL emission field, so they are mutually incoherent.
In contrast, if Mω/ = 1, we have a maximum of coherence, so that the
external illumination can fully suppress the CL emission. Specifically,
we stress that the point-particle limit of the electron (i.e., |ψ0(r)|2 → δ(r)) produces Mω/ = 1, thus recovering an intuitive result for a classical
point charge: the radiation from the passage of the electron is then
a deterministic solution of the Maxwell equations, and thus, it can
be suppressed by an external light field with the same frequency-dependent
amplitude and opposite phase. This is not the case in general, so
for arbitrarily distributed electron wave functions, the degree of
coherence is partially reduced. We also stress that the phase of the
electron wave function is entirely removed from the coherence factor
(see eq ).We
have shown that the CL emission can be modulated by interference with
external laser light. As a way to illustrate this effect, we discuss
in what follows the maximum achievable minimization of the overall
far-field (scattered + emitted) photon intensity by appropriately
selecting the external incident-field amplitude. If we have complete
freedom to choose the external field, we readily find from eq that dΓrad/dω is minimized by takingAlternatively, when one adopts light pulses Eext(0,ω) = f(ω)E0 with a predetermined spectral profile f(ω) (e.g., a Gaussian f(ω) = e–(ω–ω), the minimization condition at a
given sample resonance frequency ω = ω0 is
readily achieved by setting the field amplitude to E0 = −Mω*Eel(R0,ω0)/f(ω0). As an estimate of the
laser intensity needed to optimally modulate the CL emission, we take
|M/| = 1 and consider the electric field amplitude from eq for a 100 keV electron
passing at a distance R0 = 50 nm (10 nm)
away from the dipolar particle, so that, setting ℏω =
1 eV, we have |Eel(R0,ω)|Δω ∼ 50 kV/m (280 kV/m), assuming a
depletion bandwidth ℏΔω = 0.1 eV; also, the corresponding
laser fluence is (c/4π2)|Eel(R0,ω)|2Δω
∼ 10 nJ/m2 (400 nJ/m2).Motivated
by the potential application of electron beams in controlling the
excitations of small elements in a sample (e.g.,
molecules), we consider a dipolar scatterer as that depicted in Figure a, consisting of
a 60 nm silicon sphere coated with a silver layer of 5 nm thickness
(i.e., an outer radius a = 35 nm),
which exhibits a spectrally isolated plasmon resonance at a photon
energy ℏω0 = 1.3 eV. In practice,
we calculate the dipolar polarizability of small spheres from the
corresponding electric Mie scattering coefficient as α = (3/2k3)t1.[9] The relatively low level of ohmic losses in silver produces
a narrow resonance, with 14% of its fwhm (ℏγ = 0.013ℏω0 ≈ 17 meV) attributed
to radiative losses, as estimated from the ratio (≈0.86) of
peak absorption to extinction cross sections. Similar dipolar resonances
can be found in other types of samples, such as metallic nanoparticles
of different morphology[73,74] and dielectric cavities,[75] for which we anticipate a variability in their
coupling strength to light and electrons that should not, however,
affect the qualitative conclusions of the present work.
Figure 2
Interference
between cathodoluminescence and external light scattering. (a) We
consider a sample consisting of a small isotropic scatterer described
through a frequency-dependent polarizability α(ω) that is dominated by a single
resonance of frequency ω0 and width γ. For
concreteness, we take a nanosphere (see inset) comprising a silicon
core (60 nm diameter, ϵ = 12 permittivity) coated with a silver
layer (5 nm thickness, permittivity taken from optical data[72]), for which ℏω0 = 1.3
eV and γ = 0.013ω0. In the plot, the polarizability
is normalized using the outer particle radius a =
35 nm. (b) Electron density profile of a 100 keV electron Gaussian
wavepacket (50 fs standard deviation duration in probability density)
after modulation through PINEM interaction (coupling coefficient |β|
= 5, central laser frequency tuned to ωP = ω0) followed by free propagation over a distance d = 2.5 mm, which produces a train of temporally compressed density
pulses. (c) Time dependence of the CL, laser scattering, and total
field amplitudes for the electron in (b) and a laser Gaussian pulse
of 50 fs duration in amplitude. The light amplitude is optimized to
deplete the CL signal at frequency ω0. (d) Spectral
dependence of the resulting angle-integrated far-field CL (maroon
curve), laser scattering (red curve), and total (blue curve) light
intensity for the optimized amplitude of the Gaussian laser pulse.
The incoherent sum of CL emission and laser scattering signals is
shown for comparison (green curve). The shaded region corresponds
to spectra obtained with partially optimized laser pulses. The inset
in (d) shows details of the geometry under consideration, also indicating
the position P at which the field in (c) is calculated.
Interference
between cathodoluminescence and external light scattering. (a) We
consider a sample consisting of a small isotropic scatterer described
through a frequency-dependent polarizability α(ω) that is dominated by a single
resonance of frequency ω0 and width γ. For
concreteness, we take a nanosphere (see inset) comprising a silicon
core (60 nm diameter, ϵ = 12 permittivity) coated with a silver
layer (5 nm thickness, permittivity taken from optical data[72]), for which ℏω0 = 1.3
eV and γ = 0.013ω0. In the plot, the polarizability
is normalized using the outer particle radius a =
35 nm. (b) Electron density profile of a 100 keV electron Gaussian
wavepacket (50 fs standard deviation duration in probability density)
after modulation through PINEM interaction (coupling coefficient |β|
= 5, central laser frequency tuned to ωP = ω0) followed by free propagation over a distance d = 2.5 mm, which produces a train of temporally compressed density
pulses. (c) Time dependence of the CL, laser scattering, and total
field amplitudes for the electron in (b) and a laser Gaussian pulse
of 50 fs duration in amplitude. The light amplitude is optimized to
deplete the CL signal at frequency ω0. (d) Spectral
dependence of the resulting angle-integrated far-field CL (maroon
curve), laser scattering (red curve), and total (blue curve) light
intensity for the optimized amplitude of the Gaussian laser pulse.
The incoherent sum of CL emission and laser scattering signals is
shown for comparison (green curve). The shaded region corresponds
to spectra obtained with partially optimized laser pulses. The inset
in (d) shows details of the geometry under consideration, also indicating
the position P at which the field in (c) is calculated.In what follows, we consider modulated electrons,
focusing on their interaction with a particle under simultaneous laser
irradiation. The production of sub-femtosecond-modulated electrons
has become practical thanks to PINEM-related advances in ultrafast
electron microscopy, whereby an ultrashort laser pulse is used to
mold each electron into a train of pulses,[37,41,42,59,60,76] from which an individual
wavepacket can be extracted by applying a streaking technique.[61] Specifically, we consider either Gaussian electron
wavepackets defined by the wave functionwhere the duration is expressed in terms of the standard deviation
σ of the electron pulse probability
density |ψ∥(z)|2 and q0 is the central wave vector, or
electrons modulated by PINEM interaction with scattered laser light
followed by free-space propagation over a macroscopic distance d before reaching the sampled particle. The wave function
of the so modulated electron consists of a Gaussian wavepacket envelope
(i.e., eq ) multiplied by an overall modulation factor[64,70]where l labels a periodic array of energy sidebands
separated by multiples of the laser photon energy ℏωP from the zero-loss peak; the modulation strength is quantified
by a single complex coupling parameter β that is proportional
to the laser amplitude and whose phase determines the reference position zP, and we have introduced a sideband-dependent
recoil correction phase ∝ l2 to
account for propagation over d, involving a Talbot
distance zT = 4πmev3γ3/ℏωP2. These expressions
are valid under the assumption that the laser is quasi-monochromatic
(i.e., its frequency spread is small compared with
ωP). Then, for an optimum value of d, the factor renders a temporal comb of periodically spaced
pulses (time period 2π/ωP) that are increasingly
compressed as |β| is made larger, eventually reaching attosecond
duration.[37,41,42,59,60,76] We remark that mutual electron-laser phase coherence can be achieved
using the same laser to both modulate the electron and subsequently
interact with the sample. For concreteness, we set the electron energy
to 100 keV and tune the PINEM laser frequency to the resonance of
the aforementioned sample (i.e., ℏωP = ℏω0 = 1.3 eV). The corresponding
Talbot distance is then zT ≈ 211
mm.
Optical Modulation of CL from a Dipolar Scatterer
An
example of the PINEM-modulated electron density profile is shown in Figure b for σt = 50 fs, |β| = 5, and d = 2.5 mm.
Direct application of eq to this electron allows us to calculate the CL emission spectrum,
along with its modulation due to interference with light scattering
from a phase-locked Gaussian pulse (50 fs duration in field amplitude),
as shown in Figure d, where the inset depicts further details of the geometrical arrangement
and configuration parameters. Starting from the CL spectrum in the
absence of external illumination (maroon curve, which we insist is
independent of electron wave function profile[63,64,70,71]), we then
superimpose the phase-locked laser pulse in which we optimize the
light field amplitude E0 as prescribed above
in eq to produce a
maximum of depletion in the resulting photon intensity at the peak
maximum (blue curve). The achievable depletion is not complete because
we have DOC(ω0) = |Mω|2 ≈ 0.31 for the
considered electron, which differs from the limit of perfect coherence
(see below), so a fraction of the original CL signal given by 1 –
DOC(ω0) ≈ 69% remains after complete cancellation
of the coherent part. If the electron and light pulses are not phase-locked,
relative phase averaging renders Mω/ = 0, so the resulting probability of
detecting CL or scattered photons (green curve) is just the incoherent
sum of the probabilities associated with these two processes (i.e., the sum of the blue and red curves).It is instructive
to compare the electric near-field associated with CL versus light scattering by computing the quantum average of the total electric
field operator ÊH(r,t). Although this quantity is an observable, we note that
its measurement is not straightforward. Following the approach explained
in the Methods section and retaining only
terms that are linear in the electron current operator ĵ(r,ω), we find the average field to be given bywhich under laser and electron exposure
becomeswhere ECL is defined in Methods (eq ). The scattered part of the resulting time-dependent field is plotted
in Figure c as calculated
from this equation at the position P indicated in
the inset of Figure d. We corroborate that the optimized laser scattering field (red)
can be made to cancel the CL field (maroon), therefore producing a
nearly vanishing total field (blue) that is consistent with the depletion
of CL observed in Figure d. It is important to stress that the average of the electric
field amplitude cancels, while nonvanishing fluctuations give rise
to the incoherent part of the emission, which is not suppressed.
CL Modulation for Gaussian Electrons
In Figure , we consider an electron prepared
in a Gaussian wavepacket with standard deviation duration σ of either 0.3 or 0.9 fs (Figure a). These values are consistent
with those achieved in recent experiments.[61] The corresponding coherence factor Mω/ = e–ω (Figure b, as calculated from eqs and 11) quickly dies
off as the electron pulse duration exceeds the optical period 2π/ω
of the targeted excitation. In the point-electron limit (σ → 0), full coherence is obtained
in accordance with the intuitive picture that the electron then generates
a classical field that is well described by the solution of Maxwell’s
equations for a classical external source. The corresponding CL emission
probability (Figure c, maroon curve) is again independent of electron wave function,
while maximal depletion can be obtained upon sample irradiation with
an optimum spectral profile of the external field amplitude (eq ), so that only a fraction
1 – |Mω/|2 of the CL emission remains (see eq ). Consequently, the level of depletion
depends dramatically on pulse duration, as illustrated by comparing
solid and dashed curves in Figure c.
Figure 3
Modulation of the CL emission by Gaussian electron and
laser pulses. (a) Gaussian electron wavepackets of 0.3 and 0.9 fs
duration. (b) Frequency dependence of the electron coherence factor Mω/ (i.e., the Fourier transform of the profiles in (a)). (c)
Angle-integrated CL, laser scattering, and total far-field photon
intensity using the electron pulses in (a), the same particle and
geometrical configuration as in Figure , and an optimized spectral profile of laser field
amplitude. We also show the incoherent sum of CL emission and laser
scattering signals for comparison (green curves).
Modulation of the CL emission by Gaussian electron and
laser pulses. (a) Gaussian electron wavepackets of 0.3 and 0.9 fs
duration. (b) Frequency dependence of the electron coherence factor Mω/ (i.e., the Fourier transform of the profiles in (a)). (c)
Angle-integrated CL, laser scattering, and total far-field photon
intensity using the electron pulses in (a), the same particle and
geometrical configuration as in Figure , and an optimized spectral profile of laser field
amplitude. We also show the incoherent sum of CL emission and laser
scattering signals for comparison (green curves).
CL Modulation for PINEM-Compressed Electrons
The wave function
of a PINEM-modulated electron at the sample interaction region is
given by the product of eqs and 12 when using a quasi-monochromatic
laser. The corresponding coherence factor, calculated from eq as explained in the Methods section, is a function of the PINEM coupling
coefficient β, the free-propagation distance d, the excitation frequency ω, the electron velocity v, and a slowly varying envelope profile that we take here
to be a Gaussian of temporal width σ. In the ωσ ≫ 1 limit,
which is reached in practice with σ ∼ 2 fs for sample excitations of ℏω = 1.3 eV
energy (see supplementary Figure S1), we
obtain the universal plot for |Mω/| shown in Figure a, where the dependence on ω, d, and v is fully encapsulated in the d/zT ratio, using the Talbot
distance zT defined above. Importantly,
we find a region of maximum coherence (blue contour) in which |Mω/| ≈
0.582, and therefore, the fraction of excitations produced by the
electron that are coherent with respect to the external phase-locked
laser is limited to DOC(ω) = |Mω/|2 ≤ 34%. This maximum
value can be reached for coupling parameters |β| ≥ 0.46,
while the corresponding free-propagation distance d can be controlled by changing the modulating laser intensity. We
note that the d position at which maximum coherence
is found does not coincide with that of maximal temporal compression
of the electron pulse train due to a substantial electron probability
density remaining in the region between consecutive peaks.[64]
Figure 4
Coherence factor of PINEM-modulated electrons. (a) We
show the coherence factor |Mω/| for modulated electrons in the limit of
long pulse duration (ωσ ≫
1) as a function of the PINEM coupling parameter β and free-propagation
distance d. This function is periodic along d with a period given by half the Talbot distance zT. Additionally, |Mω/| presents an absolute maximum of ≈0.582
along the blue contour superimposed on the density plot. (b) Unperturbed
(maroon curve) and optically depleted (blue curves) CL spectra from
a 160 nm Pt spherical particle for electrons prepared in Gaussian
wavepacket (dashed blue curve, σ = 0.3 fs) or PINEM-modulated (solid and dotted blue curves obtained
with |β| = 5 and either σ = 50 fs or σ = 10 fs; see labels)
states. The inset shows the geometrical arrangement and parameters.
The laser amplitude is taken to be optimized for all emission frequencies.
Coherence factor of PINEM-modulated electrons. (a) We
show the coherence factor |Mω/| for modulated electrons in the limit of
long pulse duration (ωσ ≫
1) as a function of the PINEM coupling parameter β and free-propagation
distance d. This function is periodic along d with a period given by half the Talbot distance zT. Additionally, |Mω/| presents an absolute maximum of ≈0.582
along the blue contour superimposed on the density plot. (b) Unperturbed
(maroon curve) and optically depleted (blue curves) CL spectra from
a 160 nm Pt spherical particle for electrons prepared in Gaussian
wavepacket (dashed blue curve, σ = 0.3 fs) or PINEM-modulated (solid and dotted blue curves obtained
with |β| = 5 and either σ = 50 fs or σ = 10 fs; see labels)
states. The inset shows the geometrical arrangement and parameters.
The laser amplitude is taken to be optimized for all emission frequencies.In Figure b, we consider a dipolar scatter with a broad spectral response
to better illustrate the optically driven depletion of CL for PINEM-compressed
electrons. In particular, we take a 160 nm Pt spherical particle,
which produces a wide CL emission peak (maroon curve). For comparison,
we show the depletion obtained under optimized laser irradiation (i.e., with the external light field amplitude given in eq ) for a Gaussian electron
wavepacket of 0.3 fs duration (Figure b, dashed curve), showing a stronger effect at lower
photon energies in accordance with Figure b. In contrast, for a nearly optimum PINEM-modulated
electron (the same as in Figure b), we find instead discrete depletion features, corresponding
to the PINEM energy (i.e., ℏωP = 1.3 eV in this case) and its harmonics ω = mωP (only m = 1 and 2 peaks are
visible in the solid and dotted curves of Figure b). We note that the leftmost depletion does
not reach as deep as that produced by the Gaussian wavepacket electron,
whereas the second one has nearly the same magnitude. In the ωσ ≫ 1 limit, the depletion observed
at the excitation frequencies ω = mωP is equally ruled by universal plots of Mω/ analogous to that
in Figure a (see supplementary Figure S2), showing a similar dependence
on β and d but with an increasingly reduced
magnitude as the harmonic order m is increased. When
the envelope of the PINEM-modulated electron is reduced from 50 fs
(solid blue curved) to 10 fs (dotted curve), the depletion features
are broadened, but their depth is maintained, directly mimicking the
behavior of DOC(ω). In other words, shorter electron pulses
allow us to suppress a larger fraction of the CL power, and of course,
this suppression requires illuminating the sample with a synchronized,
amplitude-optimized laser that covers the range of sampled excitation
frequencies ω.
Temporal Control of the Emission
The studied CL modulation strongly depends on the timing between
the laser and electron interactions with the sampled structure, as
illustrated in Figure . To elaborate on this point, we reduce the number of parameters
by considering electron wavepackets with a Gaussian profile (i.e., without an additional PINEM modulation) and vary their
temporal delay relative to the laser pulses (see sketch in Figure a), using the same
standard deviation duration σ =
10 fs both for the electron probability density and for the light
field amplitude. We consider the same particle as in Figure and integrate the CL signal
over frequency to cover the resonance region. The result is plotted
in Figure b. For optimal
CL suppression, the polarization induced in the particle by the electron
and the laser must have overlapping envelopes with a temporal delay
precision well below an optical cycle. For finite delay, we show that
the interference signal oscillates as a function of τ with a
period that coincides with the resonance optical period 2π/ω0. Additionally, the amplitude of these oscillations is effectively
attenuated by a factor e–γ|τ|/2 away
from zero delay; this attenuation takes place at a pace that is half
of the resonance decay rate γ because interference is governed
by the resonance amplitude rather than the intensity.
Figure 5
Control of the far-field
photon intensity and energy pathways through the electron-laser temporal
delay. (a) We consider the same configuration as in Figure , using electron and laser
Gaussian pulses that act on the sample with a relative time delay
τ. (b) Angle- and frequency-integrated photon intensity (orange,
in units of photons per electron, multiplied by 104), showing
oscillations of period 2π/ω0 as a function
of τ, as calculated for 100 keV electrons, 10 fs Gaussian pulse
durations (i.e., f(ω) = e–(ω–ω; see black profile for comparison, corresponding to the
profiles of electron density and laser field amplitude), and the same
particle as in Figure a. The interference attenuation for γτ ≫ 1 is
indicated by the blue curve, where γ is the decay rate of the
sampled resonance. The laser field amplitude is fixed to (1.4 eω0/v2γ)f(ω). (c−e) Frequency-integrated probability
associated with additional energy pathways: laser-stimulated forward
scattering (c), total decay following excitation of the particle plasmon
(d), and change in the electron energy (e). Calculations in (b−e)
correspond to the orientations of the light (incident wave vector kinc) and the electron (velocity v) shown in the central inset.
Control of the far-field
photon intensity and energy pathways through the electron-laser temporal
delay. (a) We consider the same configuration as in Figure , using electron and laser
Gaussian pulses that act on the sample with a relative time delay
τ. (b) Angle- and frequency-integrated photon intensity (orange,
in units of photons per electron, multiplied by 104), showing
oscillations of period 2π/ω0 as a function
of τ, as calculated for 100 keV electrons, 10 fs Gaussian pulse
durations (i.e., f(ω) = e–(ω–ω; see black profile for comparison, corresponding to the
profiles of electron density and laser field amplitude), and the same
particle as in Figure a. The interference attenuation for γτ ≫ 1 is
indicated by the blue curve, where γ is the decay rate of the
sampled resonance. The laser field amplitude is fixed to (1.4 eω0/v2γ)f(ω). (c−e) Frequency-integrated probability
associated with additional energy pathways: laser-stimulated forward
scattering (c), total decay following excitation of the particle plasmon
(d), and change in the electron energy (e). Calculations in (b−e)
correspond to the orientations of the light (incident wave vector kinc) and the electron (velocity v) shown in the central inset.
Energy Pathways
We present an
alternative density-matrix formalism in the Supporting Information to describe the combined electron and light interaction
with an isotropic dipolar sample that hosts a triply degenerate optical
mode of frequency ω0. This allows us to obtain partial
probabilities for processes associated with energy changes in the
electron (Γel), accumulated excitations and subsequent
decays of the particle mode (Γdecay), emission of
radiation along forward (Γforward) and non-forward
(Γrad) directions, and inelastic absorption events
(Γabs). This analysis leads to the following expressions
for the corresponding frequency-resolved probabilities:In addition,
it reproduces eq for dΓrad/dω, whereas
the probability of any remaining process leading to absorption (e.g., ohmic losses in the particle material) is given by dΓabs/dω = (dΓdecay/dω) −
(dΓrad/dω). Importantly, the probabilities in eqs satisfy the energy-conservation conditionTo
corroborate the correctness of these results, we have obtained an
independent derivation of eqs based on an extension of the quantum-electrodynamics
formalism followed in the Methods section,
as succinctly described in the Supporting Information.We interpret Γforward as the change in photon
forward emission (i.e., toward the direction of propagation
of the incident light beam) associated with interference between emitted
and externally incident photons (i.e., the type of
stimulated process that is neglected in the non-forward far-field
radiation probability Γrad). In particular, the first
term inside the squared brackets of eq coincides with the depletion of the incident
light that is described by the optical theorem[79] (i.e., (1/πℏ)Im{α(ω)}|Eext(0,ω)|2 = σext(ω)I(ω)/ℏω, where σext(ω) = (4πω/c)Im{α(ω)}
is the extinction cross section and I(ω) =
(c/4π2)|Eext(0,ω)|2 is the light intensity
per unit frequency), whereas the remaining term originates in electron-light
interference. The probabilities given above are derived for isotropic
dipolar particles, but a similar analysis leads to expressions corresponding
to a particle characterized by a polarizability tensor α(ω)û ⊗ û (i.e., linear induced polarization along a certain direction û), for which the partial probabilities are still given by eqs and 13 after substituting û·Eext and û·Eel for Eext and Eel, respectively.We explore the aforementioned energy
pathways in Figure b−e, where we plot the frequency-integrated probabilities
Γrad, Γforward, Γdecay, and Γel, respectively, as a function of electron-light
pulse delay τ. We find that the decay probability follows a
similar symmetric profile as the radiative emission (cf. panels b and d, both of them independent of the sign of τ).
In contrast, the electron energy-change probability (Figure e) is markedly asymmetric (and
so is the forward-emission probability (Figure c) as a result of energy conservation viaeq ):
we obtain the intuitive result that the electron energy remains nearly
unmodulated if the electron arrives before the optical pulse, while
the opposite is true for the forward light emission component.
Conclusions
Electron-beam-based spectroscopy techniques provide unrivaled spatial
resolution for imaging sample excitations by measuring electron energy
losses (EELS) or light emission (CL) associated with them. In this
study, we propose the opposite approach: suppression of sample excitations
produced by free electrons through combining them with mutually coherent
laser irradiation. Indeed, our first-principles theory confirms that
electrons and light can both be treated as mutually coherent tools
for producing optical excitations. They form a synergetic team that
combines optical spectral selectivity with the high spatial precision
of electron beams. In contrast to EELS, where free electrons act as
a broadband electromagnetic source, so that only a posteriori selection of specific mode frequencies can be performed by spectrally
resolving the inelastically scattered probes, the methods here explored
allow us to target designated mode frequencies with sub-angstrom control
over the excitation process. In addition, the excitation of on-demand
nanoscale optical modes through the combined use of modulated electrons
and tailored light pulses is amenable to the implementation of coherent
control schemes[77,78] for the optimization of the desired
effects on the specimen.From a practical viewpoint, the PINEM
interaction provides a way of molding the electron wave function to
produce the temporally compressed pulses that are required to address
specific sample frequencies. However, this method has a limited degree
of achievable coherence in the electron-driven excitation process
when using quasi-monochromatic light, quantified through the degree
of coherence[63] 0 < DOC(ω) = |Mω/|2 ≤ 1; more precisely, it can
produce values DOC(ω) ≲ 34%, as we show above. We remark
that the frequency-dependent function DOC(ω) is a property of
the electron: this function is univocally determined by the probability
density profile. Full coherence at a frequency ω, corresponding
to the DOC(ω) → 1 limit, can be delivered by δ-function-like
combs of electron pulses (i.e., for an electron probability
density |ψ(z)|2 ≈ ∑bδ(z – 2πmv/ω) along the beam,[70] with arbitrary coefficients b, including single pulses for b = δ,0), the synthesis of which emerges as a challenge
for future research.By putting free electrons and light on
a common basis as tools for creating excitations in a specimen, one
could additionally envision the combined effect of multiple electron
and laser pulses, which would increase the overall probability of
exciting an optical mode, provided that their interactions take place
within a small time interval compared with the mode lifetime. This
idea capitalizes on the concept of super-radiance produced by PINEM-modulated
electrons,[62] which our first-principles
theory supports for probing and manipulating nanoscale excitations
including the extra degrees of freedom brought by synchronized light
and electron probes.We remark that CL is just one instance
of sample excitation, but the present study can be straightforwardly
extended to optically bright modes in general (see independent analysis
in ref (70)), including
two-level resonances of different multipolar character. A key ingredient
of our work is the use of dimmed illumination, so that the weak probability
amplitude that the electron typically imprints on the sample has a
magnitude that is commensurate with the effect of the external light.
Because the measurement is performed once interference between electron-
and light-driven excitation amplitudes takes place (i.e., at the far-field photospectrometer in CL or by the effect of any
subsequent inelastic process following the decay of the excited sample
mode in general), the studied electron–light mutual coherence
is unaffected by additional sources of shot noise other than the intrinsic
ones associated with the detection process (e.g.,
like in conventional CL).Our prediction of unity-order effects
in the modulation of electron–sample interactions through the
use of external light enables applications in the manipulation of
optical excitations at the atomic scale. Additionally, it suggests
an alternative approach to damage-free sensing, whereby the spectral
response of a specimen could be monitored through the modulation produced
by the combined action of light and electrons, involving a reduced
level of sample exposure to electrons because the targeted interference
is proportional to the polarization amplitudes that they induce, so
the outcome of a weak electron interaction could be amplified by applying
a lock-in technique to the laser. This approach could be useful for
imaging biomolecules, as well as strongly correlated materials in
which probing without invasively perturbing the system is essential
and remains a challenge in the exploration of spin and electronic
ultrafast dynamics. In addition to the experimental configuration
proposed in Figure , one could alternatively flip the semitransparent mirror horizontally
to mix the external laser light with the CL emission at the detector
instead of undergoing scattering at the specimen.We find it
interesting the possibility of adjusting the amplitude of the external
light field (for example, through a temporal light shaper) to determine
the frequency-dependent magnitude and phase of the CL amplitude field
(f CL(R,ω) in our formalism),
thus providing temporal resolution when probing the specimen by direct
Fourier transformation of this quantity. This method could yield a
time resolution limited by the width of the frequency window in the
CL measurement at the spectrometer, without affecting the intrinsic
temporal resolution associated with the short duration of the electron
and light pulses, and likewise, retaining the sub-angstrom spatial
resolution associated with tightly focused electron beams. In a related
direction, spatial light modulation and raster scanning of the electron
beam could also be employed to gain further insight into the symmetry
and nanoscale spatial dependence of the sample response. Additionally,
for a sample in which f CL(R,ω)
is well characterized (e.g., a dielectric sphere[75] or a thin film), the modulation of CL by varying
the external field could be used to resolve the coherence factor Mω/, thus
allowing us to retrieve the electron density profile from the Fourier
transform of this quantity. In addition to far-field optical measurements,
the present analysis can also be extended to alternative ways of probing
optical excitations that are coherently created by light and electrons,
such as electrical or acoustic detection of the modifications produced
in the specimen.
Methods
Quantization
of the Electromagnetic Field in the Presence of Material Structures
We follow ref (67) for the quantization of the electromagnetic field in the presence
of linearly responding materials characterized by a position- and
frequency-dependent local permittivity ϵ(r,ω).
Without loss of generality to deal with free electrons that do not
traverse any material, we adapt this formalism to a gauge in which
the scalar potential is zero, as detailed elsewhere.[68] The response of the media is represented through a noise
current distribution operator ĵnoise(r,ω), in terms of which the vector potential
operator reduces towhere G(r, r′, ω) is the classical electromagnetic Green
tensor at frequency ω, implicitly defined by eq . The noise operator is chosen to
be bosonic and satisfy the fluctuation–dissipation theorem
for the current. These two conditions are fulfilled by writingin terms of bosonic ladder operators f̂(r,ω) satisfying the commutation relationswhere f̂ denotes the Cartesian components of f̂.
The Hamiltonian governing the free evolution of the radiation degrees
of freedom is then expressed in terms of these operators asUsing eqs and 16, the time-dependent quantum
vector potential takes the formOf particular interest for the rest
of the calculation are the different-times commutators between the
quantum electromagnetic vector potential and the fields. These quantities
can easily be obtained using eqs –18, together with the
relations Ê(r,t) = (−1/c)∂ Â(r,t)
and B̂(r, t) = ∇
× Â(r,t), which
lead toHere, we use the Levi-Civita
symbol ϵ, as well as the identity[67]It is important to remark that the commutators between fields and
potentials are c-numbers, only dependent on the time difference t – t′. In the calculation
of the CL emission probability, we also need the retarded Green tensors
constructed from the commutators in eqs asin the time domain, or equivalentlyin the frequency domain. In the derivation
of eqs , we have
used the fact that the electromagnetic Green tensor G(r,r′,ω) satisfies the Kramers–Kronig
relations and the causality property G(r,r′,−ω) = G*(r,r′,ω).
Far-Field Radiation Emission:
Derivation of Equation
We now calculate the far-field emission produced by quantum
currents taking into consideration the quantum nature of the electromagnetic
excitations. To this aim, we define the average electromagnetic energy
flow through a solid angular region ΔΩ aswhere k = ω/c, ŜH(r,t) = (c/8π)[ÊH(r,t) × B̂H(r,t) – B̂H(r,t) × ÊH(r,t)] is
the quantum mechanical counterpart of the classical Poynting vector,[79] and |ψ(−∞)⟩ is the initial quantum state at time t = –∞. The superscript H indicates
that operators have to be calculated in the Heisenberg picture, and
thus evolved with the total Hamiltonianwhere describes the free evolution of the electron degrees
of freedom (or charge currents, in general) and represents the light–current interaction. Equation can be expressed
in terms of the scattering operator (t,–∞) by incorporating an adiabatic
switching of the interaction, which leads to the relation ,[80] and from here, eq becomesWe now describe the interaction between the electromagnetic field
and a total quantum current ĵ(r,t) through the minimal coupling Hamiltonian in the zero
scalar potential gauge aswhere the time dependence in indicates that it is expressed in the interaction picture (i.e., the free part of the Hamiltonian, , is taken care of through the scattering
matrix). Because the commutator [Â(r,t), Â(r′,t′)] is a c-number (this is a direct consequence
of eqs –18), if we assume that the current operators commute
at different times and positions (see below), the scattering operator
can be written as[68,80,81] (see detailed derivation below)where the operator only acts on the current degrees of freedom, and consequently, we
can ignore it within this Methods section, but it must be taken into
account when calculating quantities related to the electron probe
(see Supporting Information). From here,
we plug eq into eq and then use twice the
identity [Â,e] = Ce (valid if [Â, B̂]
= C is a c-number) to bring the rightmost scattering
operator to cancel its Hermitian conjugate on the left. This leads
us towhere we have defined the quantum average
asThe term Ê(r,t) × B̂(r,t) in eq , which is independent of the sources, represents the contribution
from the zero-point energy, so it bears no relevance to this analysis.
In addition, since the commutators between the vector potential and
the field operators are c-numbers, the terms linear in the currents
(i.e., through ) in eq vanish when they are averaged over an initial
state |ψ(−∞)⟩ in which
the radiation part is prepared in the photonic vacuum. Now, we use
the retarded Green functions (eqs ) and their Fourier transforms (eqs ) to obtainwhereis the angle- and frequency-resolved, time-integrated, far-field
(ff) photon emission probability. Here, we have defined the new field
operatorsand we have introduced ĵ(r,ω) = ∫–∞∞dtei ĵ(r,t). We note that eq resembles its classical counterpart,[9] but now the currents are commuting quantum mechanical operators.
Photon Intensity Produced by a Single Free Electron Combined with
a Dimmed Laser: Derivation of Equation
We consider that the quantum current operator ĵ is the sum of a classical term jext (i.e., the source of the external laser
light) and the quantum part associated with the free electrons ĵel. For a highly energetic electron with
central relativistic energy E0 = and initial wave function consisting
of momentum components that are tightly focused around a central value ℏq0, the free-electron Hamiltonian can be approximated as[48] = ∑[E0 + ℏv·(q − q0)]ĉ†ĉ, where v = ℏc2q0/E0 is the central electron velocity, and we have introduced anticommuting
creation and annihilation operators ĉ† and ĉ of an electron
with momentum ℏq. We remind that
the momentum operator, written in the space basis set as −iℏ∇ in ref (48), now becomes in the second quantization formalism
that we use here. Then, the electron current reduces towhere L is the side length of the quantization box,
so wave vector sums can be transformed into integrals using the prescription ∑ → (L/2π)3∫d3q (i.e., we have ⟨r|ĉ†|0⟩ = ei/L3/2). By repeatedly using the anticommutation
relations to pull all electron creation operators to the left, we
find the commutation relationwhich is a property
used above in the derivation of eq . Without loss of generality, we take v along the z and calculate the Fourier transformwhere k⊥⊥ ẑ is the transverse component
of the exchanged wave vector k. This allows us to evaluate
the average in eq for an initial state consisting of an electron prepared in a wave
function ψ0 = ∑α⟨r|ĉ†|0⟩ and zero photons (i.e., ) by first computing the intermediate
resultswhere we use the
notation r = (R, z). Also, Mω/(R), defined in eq , is a coherence factor that captures the dependence on the electron
wave function through the probability density |ψ0(r)|2. We note that there is no dependence
on the phase of ψ0(r). By using eqs to work out the
evaluation of eq ,
we obtainwhere we have defined the CL-related vectorand the total (external + scattered)
light fieldsand Blight(r,ω) = (−i/k)∇ × Elight(r,ω). At this point, it is convenient to separate the light
field into external and scattered components as Elight(r,ω) = Eext(r,ω) + Escat(r,ω), where the first term arises from the free-space part of
the Green tensor, whereas the second term decays as 1/r far from the sample. First, we consider emission directions in which
the external light does not interfere with the scattered and CL fields.
Then, in the far-field limit (kr ≫ 1), we
can approximate ∇ ≈ ikr̂ in the above expressions, and the electric and magnetic fields only
retain components perpendicular to r. This allows us
to rewrite eq in
the form given by eq in terms of far-field electric field amplitudes f CL(R′,ω) and f scat(ω) associated with CL emission and laser scattering contributions
(see definitions in eqs ). Under typical electron microscope conditions, for a well-focused
electron beam, we can factorize the electron wave function as ψ0(r) = ψ⊥(R)ψ∥(z) and approximate |ψ⊥(R)|2 ≈ δ(R – R0), where R0 defines the beam position. Inserting this wave function
into eq , we findwhere now Mω/ is defined in eq . There is an additional
component in dΓff/dΩdω
(eq ) arising from
the interference between the external light field Eext(r,ω) and the scattered + CL far-field
amplitudes. For plane wave light incidence with wave vector kinc, the former can be written as Eext(0,ω)ei, which contributes to dΓff/dΩdω through the three last terms of eq . After integration over
emission directions, and considering a dipolar scatterer (see below),
this contribution becomes dΓforward/dω (eq ) (see Supporting Information for more details).
Generalization to Multiple Electrons: Derivation
of Equation
The above formalism can be readily extended to deal with more than
one electron by taking the initial state as , where j runs over different electrons and the photonic field is prepared
in the vacuum state. Then, using the definition of the electron current
operator ĵel(r, ω)
in eq , the averages
in eqs can be
readily computed for the multielectron state to yieldwhere Mω/ is given by eq with ψ0(r) substituted by ψ (r) = Σα⟨r|ĉ†|0⟩ (the wave function of electron j). Finally,
plugging eqs into eq and following similar
steps as done above for a single electron, we obtain eq in the main text.
Cathodoluminescence
from a Dipolar Sample Object: Derivation of Equation
We present results in the main text
for sample objects whose responses are dominated by an electric dipolar
mode represented through an isotropic polarizability α(ω)
placed at r = 0. We now carry out the limit in eq by realizing that
the free-space component of the Green tensor to the z′ integral vanishes exponentially away from the electron beam
(i.e., just like the electromagnetic field accompanying
a freely moving classical charge), so we only need to account for
the contribution from the scattering part:Plugging this expression into eq , we can carry out the z′ integral using the identities ∫–∞∞dzeiω(/r = 2K0(ωR/υγ) and ∫–∞∞dz(1 + i/kr)eiω(/r2 = (2ic/Rυγ)K1(ωR/υγ), where and (see eqs 3.914–4
and 3.914–5 in ref (82)). This leads towhere Eel(R′,ω), defined in eq , coincides with the electric field
produced at the particle position r = 0 by a classical
point electron whose trajectory crosses (R′,0)
at time t = 0.[9] Similarly,
from eq , the scattered
external field amplitude is readily found to bewhere Eext(0,ω) is the external laser
field acting on the particle. Finally, by inserting eqs and 38 into eq , we obtainThe total far-field photon probability per unit frequency
is then obtained by integrating eq over solid angles, leading toThis expression
can readily be recast in the form of eq in the main text.
Scattering Operator: Derivation
of Equation
We describe our system through the interaction Hamiltonian in eq and use the commutation
relation in eq to
writeAdditionally, eqs and 17 directly
imply that [Â(r,t), Â(r′,t′)] is a c-number, which in turn leads to the nested commutation
relationThis expression is important to derive eq for the scattering operator starting from
its definition[80]where T denotes time ordering. Following a well-established procedure,[81] we discretize the time integral (with a set
of equally spaced times t with i = 1, ..., N) and explicitly
implement time ordering to writewith Δt = (t – t0)/N, where we have used the relation ee = e, which is valid if [X̂[X̂,Ŷ]] = [Ŷ,[X̂,Ŷ]] = 0 (i.e., like in eq ). Using this identity
again, we readily find eq by setting t0 = –∞ and defining the phase operatorInterestingly, since the commutator between the electromagnetic
potentials is a c-number, the operator acts only on the degrees of freedom associated with the currents
and represents the effect of the image potential acting on the free
charges.[68]One is often interested
in calculating asymptotic quantities such as electron spectra at t = ∞. We then need to know the
scattering operator , which can be
obtained using eqs and 29, leading toHere(see definition of  in eq ) describes the total time evolution of electron-light states in
the nonrecoil approximation if we disregard the effect of the image
potential (i.e., the phase operator ). When the electron is focused around a
point R = R0 and its wave function
can be separated in longitudinal and transverse components, as we
do in the main text, we can approximate ĉ ≈ ĉĉ and replace the operator in the exponent
of by its average over a transverse electron state satisfying the relation , from which we findHere, we have introduced
the operators andas well as the coupling
coefficient , which reduces to the
square root of the classical EELS probability[9]We define these operators in such a way that they
satisfy the commutation relations [â,âω′†] = δ(ω
– ω′) and [b̂, b̂ω′†] = 0, where
the former can be proven using eq . Importantly, eq allows us to quickly compute observables after electron–sample
interaction. As an example of this, we find that the average of the
positive-energy electric field operator over the state with (proportional to the photonic
vacuum) reduces towhere . To derive this result, we made use of the relation [Â,e] = Ce (valid if [Â,B̂] = C is a c-number), as well as the commutation
relation together with the fact that the operators b̂ and b̂ω† commute.
Calculation of the Coherence Factor for PINEM-Modulated
Electrons
For an electron whose wave function is the product
of eqs and 12, the coherence factor defined in eq readily reduces to the expressionwhich we evaluate
numerically for finite σ. In the
ωPσ ≫ 1
limit, Mω/ takes negligible values unless the excitation frequency is
a multiple of the PINEM laser frequency (i.e., ω
= mωP). Then, only l′ = l + m terms contribute
to the above sum, which reduces toand using Graf’s
addition theorem, we have |M| = |J[4|β|sin(2πmd/zT)]|, in agreement with ref (999). We use this equation with m = 1 to obtain the map shown in Figure a, and with m = 1–3
to produce the supplementary Figure S2.
Authors: Eric Betzig; George H Patterson; Rachid Sougrat; O Wolf Lindwasser; Scott Olenych; Juan S Bonifacino; Michael W Davidson; Jennifer Lippincott-Schwartz; Harald F Hess Journal: Science Date: 2006-08-10 Impact factor: 47.728
Authors: Michael S Grinolds; Vladimir A Lobastov; Jonas Weissenrieder; Ahmed H Zewail Journal: Proc Natl Acad Sci U S A Date: 2006-11-27 Impact factor: 11.205
Authors: G M Vanacore; I Madan; G Berruto; K Wang; E Pomarico; R J Lamb; D McGrouther; I Kaminer; B Barwick; F Javier García de Abajo; F Carbone Journal: Nat Commun Date: 2018-07-12 Impact factor: 14.919