Time-Resolved Photoluminescence (TRPL)

Time-resolved photoluminescence follows the emission after a short optical excitation pulse. By resolving emitted photons in time, TRPL reveals how photoexcited carrier populations evolve through recombination, trapping, transport and interfaces.

Steady-state luminescence tells us how much a sample emits. TRPL shows how that emission evolves in time.
time after excitation photon counts laser pulse
01

From excitation to a photoluminescence decay

A short optical pulse creates a non-equilibrium population of electrons and holes. Once the pulse has passed, this carrier population evolves through recombination, trapping and transport. The emitted photoluminescence follows this evolution in time.

For a simple carrier-balance description, let n(t) denote the carrier density whose temporal evolution is being followed. G(t) is the carrier-generation rate, while R(n) represents the total recombination rate. Their balance is

dn/dt = G − R(n)
(1)
General carrier-balance equation.
dn/dt = −R(n)
(2)
After a sufficiently short excitation pulse, when G ≈ 0.

TRPL does not observe the carrier population directly. The detector records emitted photons. Under fixed optical collection and detection conditions, the intrinsic PL intensity at a given time therefore follows how rapidly radiative recombination events occur in the sample.

IPL(t) ∝ Rrad(t)
(3)
The temporal PL signal follows the radiative recombination rate.

Here IPL(t) is the photoluminescence intensity and Rrad(t) is the radiative recombination rate. Equation (3) expresses the key link between the optical signal and the underlying recombination dynamics.

To connect this radiative rate to the carrier populations, consider direct band-to-band recombination. A radiative event requires an electron and a hole to be present simultaneously. In the simplest description, the probability of such an event therefore scales with the product of the electron and hole concentrations.

Rrad = Bnp
(4)
Band-to-band radiative recombination in a simple semiconductor description.

In Equation (4), B is the bimolecular radiative recombination coefficient, while n and p are the electron and hole concentrations, respectively. Because both populations can change after excitation, the PL intensity does not in general follow either carrier concentration alone.

This distinction is important. A measured PL decay is shaped by the evolution of both carrier populations and by the recombination processes that connect them. Depending on doping, injection level, traps, interfaces and transport, the PL intensity can therefore decay differently from the carrier density itself.

A PL decay is not automatically the carrier-density decay. A decay time extracted from a TRPL trace should not be interpreted as a universal carrier lifetime without considering the carrier statistics, recombination regime and measurement conditions.
02

Recombination and carrier lifetime

Recombination determines how rapidly the photoexcited carrier population returns toward equilibrium. In real semiconductors this rate is generally carrier-density dependent, so a single constant lifetime is not always sufficient to describe the dynamics.

A useful phenomenological description separates recombination into terms with different dependences on excess-carrier density. For a simplified charge-balanced case with n ≈ p ≈ Δn, the total recombination rate can be written as

R(Δn) = AΔn + BΔn² + CΔn³
(5)
Simplified ABC representation. A is an effective first-order term, B the bimolecular radiative coefficient, and C a higher-order coefficient commonly associated with Auger-type recombination.

First-order processes

Defect-mediated or other effective first-order losses can dominate at relatively low carrier density.

Radiative recombination

Band-to-band emission depends on both electron and hole populations and is therefore density dependent.

Higher-order recombination

At high carrier density, additional processes such as Auger recombination can accelerate the decay.

An instantaneous effective carrier lifetime can be defined from the rate at which the excess-carrier population changes. With Δn denoting the excess-carrier density,

τeff(Δn) = Δn / R(Δn) = −Δn / (dΔn/dt)
(6)
The effective lifetime can vary with carrier density because the total recombination rate is not necessarily linear in Δn.

Only when the relevant recombination rate is approximately proportional to carrier density over the observed range does the carrier population approach a simple exponential decay with a nearly constant lifetime:

Δn(t) = Δn0 exp(−t / τ)
(7)
Idealized exponential carrier decay for an approximately constant lifetime τ.

Even in this simple case, the observed PL signal does not necessarily share the same exponential time constant. For example, when n ≈ p ≈ Δn, Equation (4) gives IPL ∝ Δn². The measured luminescence therefore responds to the carrier statistics as well as to the carrier decay itself.

Interfaces, diffusion, trap filling and detrapping can further modify the transient. This is why comparing decay shapes under controlled excitation conditions is often more informative than assigning a single “lifetime” number to every TRPL curve.

Lifetime is a physical quantity; a fitted decay constant is a model parameter. They can coincide under well-defined conditions, but they should not be treated as interchangeable by default.
03

How TRPL is measured

Time-resolved photoluminescence can be measured using several experimental approaches. The underlying goal is the same — to determine how the luminescence response evolves after a change in optical excitation — but the methods differ in temporal resolution, sensitivity, acquisition principle and the type of information they provide.

01 · FREQUENCY DOMAIN

Modulated photoluminescence

In modulated photoluminescence (Mod-PL), the intensity of a continuous excitation source is periodically modulated. The phase shift and amplitude response of the PL signal relative to the excitation are analyzed to determine the carrier lifetime as a function of injection level.

high reproducibility injection dependent indirect lifetime
02 · DIRECT TIME DOMAIN

Analog TRPL

The sample is excited by a short laser pulse and the complete PL transient is recorded with a fast photodetector and high-bandwidth acquisition electronics. This gives a direct view of the decay waveform and can provide very fast acquisition when the luminescence signal is strong.

direct transient fast acquisition strong signal required
03 · SINGLE PHOTONS

Time-Correlated Single Photon Counting

TCSPC records the arrival time of individual luminescence photons relative to repeated excitation pulses. Accumulating many photon events reconstructs the PL decay with very high sensitivity and picosecond timing precision.

single-photon sensitivity ps timing high precision
04 · SWITCHED EXCITATION

Square-wave modulated TRPL

A continuous-wave excitation source is periodically switched on and off. After the excitation is terminated, the transient PL decay is recorded in the time domain. This avoids the need for a pulsed laser, but the temporal resolution is limited by the switching edge and detector bandwidth.

no pulsed laser simple excitation bandwidth limited
05 · SPATIALLY RESOLVED

Fluorescence Lifetime Imaging

FLIM determines a decay or lifetime for each image pixel and therefore maps spatial variations in recombination dynamics. It can reveal local defects and inhomogeneity that are hidden in a spatially averaged measurement, although conventional implementations are usually optimized for relatively small fields of view.

lifetime mapping spatial information limited field of view
Why TCSPC?

TCSPC is not the only route to TRPL, but it offers an unusually strong combination of single-photon sensitivity, picosecond timing and precise photon-counting statistics. This makes it especially useful for weak semiconductor luminescence and for measurements that must resolve fast dynamics without requiring a strong analog signal. Its main trade-off is that the decay is reconstructed statistically over many excitation cycles, so count rate, detector dead time, pile-up and the instrument response function must be controlled.

04

Time-Correlated Single Photon Counting

TCSPC reconstructs a time-resolved luminescence decay statistically. The sample is excited repeatedly with short laser pulses, and the arrival time of detected photons is measured relative to the corresponding excitation pulse.

Each excitation pulse defines a timing reference. If texc is the time of the excitation pulse and tdet is the arrival time of a detected photon, the measured delay is

Δt = tdet − texc
(8)
Arrival time of one detected photon relative to the excitation pulse.

One photon contributes one count to the corresponding time bin. Repeating the excitation many times builds a histogram H(Δt) of photon-arrival events. After sufficient statistics have accumulated, the histogram follows the measured time-dependent luminescence signal:

H(Δt) ∝ Imeas(Δt)
(9)
The accumulated photon-arrival histogram reconstructs the measured temporal PL response.
One excitation cycle, one photon event
Each laser pulse defines time zero. A detected photon adds one count to its arrival-time bin; repetition gradually builds the decay histogram.
TCSPC
time after excitation photon counts laser pulse
accumulating photon counts
1 · Excite A short laser pulse creates the photoexcited carrier population and defines the timing reference.
2 · Time photons Detected photons are assigned to time bins according to their delay Δt after excitation.
3 · Accumulate Many excitation cycles build the photon-arrival histogram and reveal the underlying decay.

TCSPC therefore does not record the entire decay from a single laser pulse. The curve emerges from many repeated excitation–detection cycles. This statistical approach enables high sensitivity and precise timing, but the measured decay still includes the temporal response of the complete instrument. That response is treated explicitly in the next section through the instrument response function (IRF).

05

Instrument Response Function

A measured TRPL trace contains not only the response of the sample, but also the finite temporal response of the measurement system. The instrument response function, or IRF, describes how the complete setup responds to an optical event that is much shorter than the timescale being resolved.

The IRF includes contributions from the excitation-pulse duration, detector timing jitter and timing electronics. As a result, an intrinsically instantaneous optical event would still appear as a peak with a finite width in the measured time trace.

The measured signal is therefore the convolution of the true sample response with the IRF. Let Isample(t) denote the intrinsic temporal luminescence response of the sample and Imeas(t) the signal recorded by the instrument:

Imeas(t) = ∫ IRF(t − t′) Isample(t′) dt′ = IRF * Isample
(10)
The measured TRPL trace is the convolution of the instrument response and the intrinsic sample response.

In Equation (10), the symbol * denotes convolution and t′ is the integration variable. If the sample dynamics are much slower than the IRF, the influence of the instrument becomes small after the earliest part of the decay. If the sample dynamics occur on a comparable timescale, however, the rising edge and the fastest decay components are broadened by the instrument and cannot be read directly from the measured curve.

The measured decay contains the instrument response
The narrow IRF broadens the earliest part of the intrinsic sample response. The curves are illustrative.
IRF
time normalized signal
instrument response (IRF)
intrinsic sample response
measured response

For quantitative fitting of fast dynamics, the IRF is therefore included in the model rather than ignored. A candidate sample response is calculated, convolved with the measured IRF, and the resulting curve is compared directly with the experimental data. This procedure is commonly called reconvolution fitting.

Ifit(t) = IRF * Imodel(t; θ)
(11)
A model response with parameters θ is convolved with the IRF before comparison with the measured trace.
The fastest visible feature is not automatically the fastest sample process. When the characteristic sample dynamics approach the width of the IRF, the instrument response must be included explicitly before assigning a physical timescale.
06

Interpreting decay curves

The shape of a TRPL decay contains information about the underlying carrier dynamics, but a mathematical fit is not by itself a microscopic model. The appropriate interpretation depends on the recombination regime, carrier density, transport and the structure of the sample.

The simplest description is a single exponential. It is appropriate when the observed signal can be represented by one approximately constant effective decay rate over the fitted time range:

IPL(t) = I0 exp(−t / τ) + C
(12)
Single-exponential description with initial amplitude I₀, decay constant τ and background C.

In Equation (12), τ is the decay constant of the fitted PL signal. It should only be identified directly with a carrier lifetime when the physical conditions connecting the PL intensity to the carrier population justify that interpretation.

Real semiconductor transients are frequently not described by a single exponential. A common empirical extension is a sum of exponential components:

IPL(t) = Σ Ai exp(−t / τi) + C
(13)
Multi-exponential representation with amplitudes Aᵢ and decay constants τᵢ.

Equation (13) can describe a fast initial decay followed by a slower tail, but the individual fitted components do not automatically correspond one-to-one to distinct recombination mechanisms. The same non-exponential transient can arise from carrier-density-dependent recombination, trapping and detrapping, diffusion toward interfaces, spatial inhomogeneity or combinations of these effects.

Different mathematical decay shapes
Illustrative curves show common fitting behavior; the curve shape alone does not uniquely identify a microscopic mechanism.
Interpretation

Single exponential

One effective decay constant describes the selected time range.

Multiple components

A fast part and a slower tail can be represented by several time constants.

Non-exponential

The effective decay rate changes continuously as the carrier population evolves.

This is why a fitted time constant should be interpreted together with the measurement conditions. Excitation density, spectral detection window, sample thickness, interfaces and temperature can all change the measured transient. Comparing how the complete decay evolves when one of these conditions is varied is often more physically informative than comparing a single fitted number.

A good fit demonstrates that a mathematical function reproduces the measured curve over a chosen range. It does not, by itself, prove that each fitting component corresponds to a unique physical recombination pathway.
Fit the curve, but interpret the experiment. Decay parameters become physically meaningful when they are evaluated together with carrier-density, spectral and sample-dependent information rather than in isolation.
07

Excitation and spectral dependence

A TRPL decay is not an intrinsic curve that is independent of the experiment. The observed dynamics depend on which carrier population is created and which part of the emitted light is detected.

The excitation pulse determines the initial non-equilibrium carrier population. If Fabs is the absorbed optical energy per unit area and hν is the excitation-photon energy, the number of absorbed photons per unit area is

Nabs = Fabs / hν
(14)
Absorbed photon number per unit area. The corresponding initial carrier-density profile also depends on the absorption depth and sample geometry.

Increasing the excitation fluence generally increases the initial carrier density, which can change the relative importance of the recombination terms introduced in Equation (5). Trap filling, bimolecular radiative recombination and higher-order recombination can therefore alter both the early-time and late-time decay. For example, filling available traps can suppress a fast trap-mediated loss channel, while at higher carrier density stronger bimolecular or Auger-type recombination can accelerate the decay.

This makes excitation-dependent TRPL especially useful. Instead of assigning one lifetime to a sample, a series of decays measured over a controlled excitation range reveals how the dynamics evolve with carrier density.

Excitation-density dependence

Illustrative decay family at different initial carrier populations.

time normalized PL
condition 1 condition 2 condition 3

Spectral detection matters

Different spectral regions can follow different temporal evolution.

emission energy / wavelength A B C

Spectrally resolved TRPL adds another dimension. If carriers relax between energetic states, migrate between domains, diffuse through a gradient, or emitted photons are reabsorbed and re-emitted, the transient measured on the blue side of the spectrum can differ from the transient near the emission maximum or on the red side.

For quantitative comparison, excitation fluence, repetition rate, excitation wavelength, detection window and sample geometry should therefore be reported together with the fitted decay parameters.

There is no context-free TRPL lifetime. A decay becomes physically comparable when the excitation and detection conditions are controlled and stated together with the extracted timescale.
08

What TRPL reveals

TRPL is most powerful as a comparative probe of carrier dynamics. It shows how the temporal emission response changes when the material, interface, processing condition or excitation regime changes.

Because the transient reflects radiative emission from a non-equilibrium carrier population, TRPL can be highly sensitive to changes that alter recombination or carrier transport. A slower or faster decay, a changed early-time response, or the appearance of a long tail can therefore provide evidence that the underlying carrier dynamics have changed.

TRPL can reveal

+Changes in recombination dynamics between materials, treatments or processing conditions.
+The influence of passivation and interfaces on the temporal PL response.
+Signatures consistent with trapping, detrapping, diffusion or carrier transfer when supported by the experimental context.
+Carrier-density-dependent dynamics through excitation-dependent measurements.
+Changes during degradation, aging or other time-dependent experiments.

TRPL alone does not uniquely determine

—The microscopic identity of a recombination mechanism from a fitted decay shape alone.
—The absolute photoluminescence quantum yield or absolute non-radiative voltage loss.
—QFLS or implied open-circuit voltage without an absolute luminescence measurement.
—A unique separation of bulk and interface recombination without additional modelling or complementary measurements.
—A universal material lifetime that is independent of excitation and detection conditions.

The distinction matters because several physical processes can generate similar transient shapes. TRPL therefore becomes much more informative when a controlled experimental variable is changed: excitation density, surface treatment, interface composition, temperature, electrical bias or detection wavelength. The trend across those measurements provides the physical constraint that a single decay curve does not.

TRPL is strongest when used comparatively. The question is often not “what is the lifetime?”, but “how and why did the carrier dynamics change?”
09

TRPL + absolute luminescence

Time-resolved and absolute luminescence measurements answer different parts of the same recombination problem. TRPL resolves the temporal evolution of the emission, while absolute luminescence quantifies how efficiently absorbed excitation is converted into emitted photons.

For photoluminescence, the external photoluminescence quantum yield is the ratio between the emitted and absorbed photon numbers:

PLQY = Nem / Nabs
(15)
Absolute PLQY quantifies the photon-conversion efficiency, whereas TRPL describes the temporal evolution of the emitted signal.

Absolute PL therefore addresses how much light is emitted and, together with the spectral information required for absolute luminescence analysis, provides access to quantities such as PLQY, QFLS and implied VOC. TRPL addresses when that light is emitted and how the transient changes with carrier density and sample conditions.

Absolute luminescence

How much?

Quantifies the emitted photon flux relative to the absorbed excitation.

PLQY / ELQY QFLS / implied VOC Absolute spectrum Non-radiative loss under defined conditions
+

Time-resolved luminescence

How does it evolve?

Resolves the temporal response of the emitted photons after excitation.

Decay dynamics Lifetime-related parameters Trapping / transport signatures Excitation-dependent behavior

Why the combination becomes more powerful

The two measurements are especially useful when the same change can produce more than one interpretation in a transient experiment. A faster PL decay, for example, can result from additional non-radiative recombination, but it can also appear when carriers leave the emitting region through charge transfer. TRPL reveals that the carrier dynamics changed; an absolute luminescence measurement tells us whether the new state is accompanied by a gain or a loss in radiative efficiency and internal voltage potential.

Example 1 Nature Energy · 2018

Locating interfacial recombination — and quantifying its voltage cost

Stolterfoht and co-workers combined transient and absolute photoluminescence measurements on perovskite films and transport-layer stacks. TRPL showed that adding transport layers strongly modified the recombination kinetics, while absolute PL and QFLS mapping placed those changes on an energy scale. The study identified additional non-radiative free-energy losses of about 80 meV at each individual perovskite/transport-layer interface and then showed that ultrathin interlayers reduced these losses.

TRPL supplied the kinetics; absolute luminescence showed where those kinetics translated into a real loss of luminescence efficiency and voltage potential. Stolterfoht et al., Nature Energy 3, 847–854 (2018)
Example 2 Energy & Environmental Science · 2024

Passivation: seeing the slower loss and measuring how much was recovered

In interface-engineered perovskite stacks using FAPA layers, the TRPL response indicated reduced non-radiative recombination at the interfaces. Absolute PLQY then quantified the improvement: at one interface the reported PLQY increased by a factor of twelve, corresponding to an approximately 64 mV reduction in open-circuit-voltage loss.

The transient measurement showed that the recombination dynamics changed; PLQY and QFLS converted that change into a quantitative efficiency and voltage benefit. Energy & Environmental Science, 2024
Example 3 Advanced Energy Materials · 2023

Fast charge transfer is not automatically efficient charge extraction

Xu and co-workers used TRPL to compare perovskite/electron-transport-material interfaces. Faster transient decays provided evidence for faster charge transfer into some transport layers. The authors explicitly noted, however, that such transient measurements cannot determine how efficiently charge is extracted under steady-state device operation. Operando absolute PL and QFLS measurements were then used to reveal carrier accumulation and extraction limitations under applied bias and short-circuit conditions.

This is a useful example of why PL quenching alone can be ambiguous: time-resolved and steady-state absolute measurements answer different stages of the same transport–recombination problem. Xu et al., Advanced Energy Materials (2023)

Two observables can separate interpretations that one observable cannot.

TRPL is sensitive to the rate at which the emitting carrier population changes. Absolute luminescence is sensitive to the fraction of recombination that remains radiative under a defined excitation condition. When both change in the same direction, they can provide mutually consistent evidence for suppressed or enhanced non-radiative recombination. When they move differently, that mismatch is itself informative and can point toward charge transfer, trapping, transport or changes in the carrier-density regime rather than a simple change in recombination lifetime.

The practical advantage is therefore not simply that one method measures “time” and the other “intensity”. Their combination helps distinguish how quickly carriers leave an emitting population from how efficiently that population ultimately emits.

Dynamics explain the path. Absolute luminescence quantifies the outcome. Together, TRPL and absolute luminescence provide a more constrained picture of recombination, interfaces and carrier transfer than either measurement alone.