1. Introduction
Light-emitting diodes (LEDs) are steadily substituting halogen and fluorescent light sources in many applications thanks to their high efficiency, long life cycle, fast switch time, mechanical robustness and small form factor [
1,
2]. For the same reasons, LEDs are being increasingly used in radiation-harsh environments. The successful implementation of LEDs in these environments can solve many of the well-known and tight constraints which usually characterize them. The space environment is an example of this type of application, as dimensional and power constraints are among the most critical factors for the implementation of any solution designed to be launched in orbit [
3,
4,
5]. High-energy facilities include lighting solutions that are being designed to take advantage of LEDs as well. The main reason remains the tighter energetic requirements for these structures in recent years, pushing the implementation of more energy-saving lighting solutions. As an example, one of the proposed solutions to save energy consists of taking advantage of the really low on/off switch time and how easy they are to control to turn them on only when necessary [
6,
7].
As another case study in which LEDs are increasingly gaining popularity, efforts are made to develop radiation-hardened cameras able to provide imaging solutions in radiation-rich environments [
8]. Such solutions require the ability to conceive CMOS image sensors, optical systems and illumination systems able to survive in these hostile environments while maintaining the image quality at a sufficient level despite the radiation impact of each subpart of the camera.
Nowadays, it has been demonstrated that CMOS image sensors (CISs) can be designed to resist MGy dose levels, with pixel architecture exhibiting a low dark current increase after exposure to X- or γ-rays [
9] and marginal changes in their quantum efficiencies. Similarly, it was shown that monochrome or color optical systems can be conceived using either radiation-hardened optical glasses or even using commercial glasses that present limited darkening at such dose levels [
10,
11]. Both subsystems’ degradation mechanisms affect the photometry budget of the camera resulting in a degradation of the signal to noise ratio of the camera. LEDs are known to exhibit a good radiation tolerance to ionizing radiations, at least at moderate total ionizing doses (TIDs), and a larger vulnerability against displacement damages [
12,
13,
14]. In particular, their output power has been observed to decrease under irradiation, reducing the number of photons reaching the detector and accordingly degrading the image quality. In most cases, LEDs can continue to function even after exposure to the TID, although they may exhibit some performance degradation [
15].
As discussed in [
16], multiple factors are in need of being assessed and qualified for the lighting solution in a rad-hard camera system. It is not only the global output power of the LEDs which is crucial to controlling and predicting the photometry budget of the camera system. It is also the angular dependence of the photon emission that determines the number of photons capable of reaching the object of interest and traveling back up to the image sensor.
The emission spectra that can control the imaging colorimetry aspect should be considered as well. Another important aspect to consider for a camera system is the compensation of radiation damages of one part of the subpart of the camera to another one. In particular, if the degradation of the CMOS image sensor and of the optical system are difficult to mitigate by acting at the system level, it might be possible to design an LED-based illumination system able to compensate for part of the camera degradation by having some margin in the optical powers that LEDs can provide or by having additional LEDs that can be activated [
17]. This paper focuses on commercially available LEDs and includes a comparison of different LED technologies in terms of their radiation hardness. This is a unique aspect compared to previous works such as the one by Allanche et al. [
17], which focused on the study of the radiation resistance of high-power white LEDs.
In this context, and to further advance lighting system development for high-TID environments, this article investigates the permanent gamma radiation effects on several key aspects of commercially available LED properties: the decrease in their efficiency at different injection currents with TIDs for different LED technologies, the evolution of their emission spectra and emission patterns with dose and the dependence of their radiation response regarding their profile of use, either ON or OFF during the γ-rays exposure. Results of visual inspection and qualitative considerations on the mechanical degradation of some of the materials composing the LED are reported. These results can be directly used to design radiation-hardened lighting systems for operation in harsh environments, as well as for the design and performance optimization of high-dose radiation-tolerant cameras.
2. Materials and Methods
2.1. Tested LEDs
The effects of ionizing radiation on 13 commercial Cree XML Color LEDs have been investigated [
18]. Each LED includes four different diodes in the following colors: red, green, blue and white. Each color can be individually controlled, allowing for a more accurate control of the colorimetry aspect of the imaging solution. The parallel use of these four LEDs allows the combination of two different techniques normally used to create white LEDs to create a ‘super white’ LED. The first technique consists of combining a blue (in certain cases ultraviolet, UV) LED with a phosphor layer to create a white LED (almost-white spectrum) through the phosphor’s yellow luminescence. The second technique consists of the simultaneous use of a red, a green and a blue LED [
1,
2]. In the investigated devices, the first technique has been used to include a white-colored LED together with the other three colors. From the datasheet [
18] and from the spectral intensity results, it can be concluded that the white LED and the blue LED share the same structure, the only difference being the phosphor layer on top of the white one.
Figure 1 shows the structure of the four LEDs of the tested devices, embedded at the center of a plano-convex lens to redirect the emitted light and obtain a Lambertian emission pattern with a viewing angle of 130° [
18].
The tested components are commercial devices, usually referred to as components off the shelves (COTS). Accordingly, limited information on the LED composition and structure is available [
18]. The results collected in the present work allowed further information of the LED composition/structure to be collected, in addition to the information already contained in the datasheet.
The luminous spectrum emitted by an LED depends on the energetic bandgap resulting from the combination of layers of semiconductor materials inside the PN junction, together with the presence of single or multiple quantum wells or cavities inside the structure. Depending on the used materials, and based on their emitted spectral range, LEDs can be divided into two categories. The first category is for the colors from the UV up to amber (200–620 nm), which are based on GaN technologies, while the second one is for wavelengths above 620 nm, from red to infrared, which are based on AlGaInP structures [
1]. Concerning the devices investigated in this work, the white, blue and green LEDs can be placed in the first category, and the red one in the second one.
2.2. Irradiation Conditions and Investigated Samples
Passive irradiation of the samples was carried out over two irradiation campaigns at the IRMA (IRradiation MAtériaux) facility at the Institute de Radioprotection et de Sûreté Nucléaire (IRSN, Paris, France) [
20] with a Co
60 gamma ray source (two peaks at 1.17 and 1.33 MeV). At this facility, it is possible to control the dose rate at which the sample is exposed to by changing the distance between the sample and the Co
60 source. During the first irradiation campaign, which lasted for ~21 days, 2 sets of 4 samples were irradiated at two dose rates: 990 Gy/h and 1990 Gy/h, up to a final dose of ~500 kGy and ~1 MGy, respectively. In this paper, all of the dose quantities are expressed in Gy(air).
For the second irradiation campaign, which lasted for 25 days, 8 samples were chosen among which 5 had been irradiated in the first campaign and 3 were pristine. Two of these samples were irradiated at 833 Gy/h, being exposed to a total dose of about ~500 kGy. The other 6 samples were exposed to a dose rate of 1590 Gy/h, reaching a final dose value of 1 MGy.
Table 1 reports all the investigated samples and the TID levels that they were exposed to in the first and second irradiation runs, together with the final TID. The ‘Performed analysis’ column reports which one of the two analyses was implemented to study the sample. ‘EQE’ refers to the external quantum efficiency study presented in
Section 2.3. and ‘Pattern’ refers to the radiation pattern study described in
Section 2.4. NP1 and NP2 refer to two non-irradiated samples coming from a new acquired batch of LEDs which were included in the radiation pattern analysis. One of the LEDs, referred to as P3, was kept ON during irradiation, while all the others were in the OFF state.
2.3. External Quantum Efficiency
The figure of merit (FoM) describing the total efficiency of an LED is the external quantum efficiency (EQE) [
1]. This quantity includes information about the inefficiencies introduced by all of the different factors in the conversion process from the electrons fed to the contacts of the junction to the photons which exit the optics of the device. It is defined as:
where
is the flux of photons emitted by the LED per second,
is the flux of electrons injected into the LED per second,
is the extraction efficiency and IQE is the internal quantum efficiency.
The effects of the different parts composing the structure of an LED on its EQE can be divided into two contributions, IQE and , depending on the type of inefficiency that they introduce. IQE describes the efficiency of the electron-to-photon conversion inside the PN junction. It accounts for two effects: radiative recombination efficiency and amplification (if present, as in the case of laser diodes).
includes the effects of the optical components designed to extract and diffuse the photons generated by the PN junction. It considers contributions associated with lenses, extraction patterns (if present) and phosphor layers (for white LEDs).
The EQE characteristic is current dependent, and can be represented in the well-known bell shape. This bell shape can be explained considering the competition among the different types of electron–hole recombination inside the junction, and can be retraced back to the IQE vs. current characteristic. Using a simplified approach, the IQE can be described considering three main recombination mechanisms: Shockley–Read–Hall (SRH) recombination, also known as trap-assisted recombination, which dominates the low current section of the curve; radiative recombination (the useful one for LEDs), dominating the region around the maximum IQE value and Auger recombination, which is thought to be the main actor in the efficiency droop mechanism responsible for the efficiency decrease observed at high currents.
The efficiency droop effect has been mainly documented for GaN devices. Many recent studies have been devoted to the explanation of this effect by introducing additional phenomena, such as an increased current leak [
21,
22]. This work does not consider these additional effects, as previous studies [
10,
17] have shown that the exposure of LEDs to ionizing radiation mostly impacts the low current region of their IQE curves.
This phenomenon is explained in the literature by a radiation-induced increase in the number of traps inside the LED, which increases the probability of SRH non-radiative recombination and, consequently, reduces the probability of radiative recombination in low injection current regimes [
1,
23].
EQE Characterization: Setup
To investigate the EQE as a function of the LED-injected current curve, the setup shown in
Figure 2 has been implemented. It includes a Labsphere Ltd. LCS-100 integrating sphere system, implementing a Labsphere CDS-600 spectrometer [
24] and an Agilent AE3646A source meter unit (SMU) [
25]. The integrating sphere is composed of a reflective spherical surface of 25.4 cm in diameter in which the sample is placed. On the side of the sphere, there is an opening connected to an optical fiber (OF) which is connected to a spectrometer.
This configuration allows the intensity emitted by the sample to be measured, integrating it over all directions. The system response is calibrated before the sample measurement with two halogen sources (Labsphere SCL-600 and AUX-600 [
24]) to obtain the spectral intensity, expressed in W per nm. The inclusion of an SMU allowed the LEDs to be driven at specific currents while monitoring the necessary voltage in real time.
Each color of each sample has been characterized using a stepped process over seventeen injected current values ranging between 0.5 mA and 1 A. At each current value, the LED was kept ON for one minute and then turned OFF for another minute before the next step, to reduce the effects of self-heating. The temperature outside of the sphere was monitored during the test. It remained between 22 °C and 25 °C.
The results reported in this paper describe the EQE investigation of the available samples (P1, P2 and P3) irradiated only during the second irradiation run.
These samples were characterized by the described setup before and after the second irradiation run. As seen in
Table 1, the P1 sample was irradiated at 500 kGy TID. The P2 and P3 samples were irradiated at 1 MGy. The four LEDs of the P3 sample were biased with a 0.1 A current (for a 0.4 A total current) throughout the whole irradiation.
2.4. Radiation Pattern Study
To investigate the radiation effects on the LED extraction efficiency
, a dedicated setup was used to characterize the emitted radiation pattern of our samples. The setup illustrated in
Figure 3 was used to measure the emitted spectrum of a sample biased at 0.1 A, one color at a time. The LED was rotated around its vertical axis across angles between −90° and 90° from the perpendicular direction of its die. An angular resolution of 3° per step was used. Thirteen samples were characterized with two full scans (from −90° to 90° and back) to remove possible noise contribution coming from external factors, such as stray reflections and transient light sources.
To measure the emitted intensity at different angles, an OF was placed in front of the LED at a distance of 35 cm and connected to a spectrometer ([
26]). It was decided to rotate the sample on its axis, instead of having the OF rotating around the sample, to minimize the influence of the OF transmission characteristics on the measured spectra. Indeed, the bending of the OF caused by its movements can change the transmission spectrum seen from the spectrometer, compromising the quality of results.
This setup provides a matrix of spectra at different angles per sample, so for different TIDs. Results are reported in the two types of graphs of
Figure 4. The investigation of the spectral intensity dependence on the emitted angle, as shown in
Figure 4a, provides information on the primary optics of our LEDs, where in our case the primary optics are composed of the hemispherical lens in which the sample is encapsulated. The measured spectra can then be integrated to evaluate the emitted optical power in each direction, to characterize a polar emission pattern (see
Figure 4b). This allows the effects of gamma radiation on the optical power emitted at each investigated angle to be investigated. These spectral measurements are not calibrated such as the ones acquired with the integrating sphere; then, all the results are normalized around the angle with the maximum measured intensity.
Figure 4a reports the measured spectra of a pristine white LED (NP1) at different angles normalized at the center of the blue band (~440 nm). This figure highlights the spectral changes as a function of the angle. This is caused by the chromatic dispersion of light inside the lens. The different positions of the LEDs inside the package result in an emission pattern such as the one shown in
Figure 4b. This disposition allows the lights emitted by the different LEDs to be combined when all are turned ON at the same time to obtain the aforementioned super-white spectrum.
4. Discussion
The visual inspection of the LED package at different TIDs provides evidence for a darkening of the area around the lenses. Additionally, a progressive increase in the damages on the lens structure with dose is observed. These mechanical damages are not uniformly distributed across the lens volume, and are most likely an effect of the post-irradiation handling of the LEDs. In fact, additional mechanical stresses might originate from accidental impacts occurred during the transport to and from the irradiation facility and during the post-irradiation characterization. In particular, the samples irradiated in both irradiation runs traveled twice to and from the facility, increasing the risk of mechanical stresses. The damage entity seems to increase with the dose, suggesting that radiation influenced the elastic properties of the silicone lens, reducing its capability to absorb mechanical stresses, such as the ones originating from accidental and uncontrolled impacts, and making it more fragile and so more susceptible to structural failure.
Apart from the samples described in
Figure 6 and
Figure 11, in which the degradation of the optical properties is evident, it is generally difficult to quantify the impact of the mechanical damages on the optical properties of the LEDs. In fact, no damage-dependent behavior can be recognized in the intensity radiation patterns of
Figure 10 up to 1.5 MGy. The widening of the intensity patterns in the 2 MGy curves of all colors in
Figure 10 could indicate the presence of scattering-inducing defects inside of the lens related to the gamma ray-induced displacement damage, which is also coherent with the blurring of the lens observed in
Figure 5d. Considering the results from the visual inspection, and taking into account that the four diodes composing an LED share a common lens, the observed shape variations (especially in the green LED’s response) can be associated with a lens mechanical damage as they clearly do not affect the emission pattern response in the same way for the four colors.
Figure 8 shows that the decrease in the EQE is mostly concentrated at low injection currents for all of the diodes of the samples irradiated in their OFF state, P1 and P2. This region of the EQE vs. the current characteristic is dominated by SRH non-radiative recombination, also called trap-assisted recombination [
1,
28]. This information supports the hypothesis that gamma radiation promotes the generation of new traps inside the LED die. The efficiency variation at low currents has already been documented and attributed to the presence of trap states, such as traps present on the perimeter of a diode when trying to miniaturize the device, both for GaN [
23] devices and InGaP [
29,
30] devices.
The higher stability of the green LED response reported in
Figure 8b in comparison to the other colors can be explained by analyzing the given EQE curve in
Figure 7. It is visible that inside the investigated range of currents, the efficiency droop seems to be the dominating mechanism, as the EQE peak is positioned at a much lower current than the other diodes, and the curve decreases as a function of the current.
The blue and the white LEDs have very similar responses in all three samples, with a slight divergence at higher currents. This similarity is expected, as they share the same structure except for the phosphor layer on the white one. It is difficult to attribute the difference between the two LEDs to the phosphor layer with these measurements, as no observable variation in the blue and yellow bands (and their relative intensities) of the white spectra shape is present. A possible explanation for this is that the presence of the phosphor layer slightly changes the thermal response of the diode, increasing the self-heating during the EQE characterization because of the extra layer of material. This can potentially result in an improved annealing effect of the radiation-induced traps.
In the results shown in
Figure 8a, the red LEDs are clearly the most impacted by TIDs, as we observe a 75% decrease in efficiency at low currents when irradiated in their OFF state. This increased sensitivity is explained by the implementation of InGaP technologies needed to design red LEDs [
1,
4], as this technology has been demonstrated to be much more sensitive to radiation-induced displacement damages when compared to the GaN technologies implemented to obtain the shorter wavelength colors [
3,
31].
In the curves in
Figure 8, it can be seen that the results for the LEDs irradiated in their ON state (P3) show a weaker EQE degradation in their response for all colors. To aid the discussion about the P3 sample, an additional test has been performed where an LED package was characterized before and after a period of 25 days with all diodes biased at 0.1 A. The goal was to quantify the possible effect of the aging of the device on the red curves shown in
Figure 8. The maximum EQE variation measured in this test across all colors was 2%.
For the P3 sample, the results for the green LED in
Figure 8b show a very high RIEC, which, contrary to the OFF case, is higher than 1 at low currents, indicating an improvement in the EQE after irradiation in this zone and a decrease as the observed current increases. This behavior is similarly observed for the white and the blue LEDs, although the RIEC is lower across all currents. The high RIEC value at a lower current observed for these three LEDs can be explained by competition between the radiation-induced trap generation which explains the OFF curves, and the annealing of these traps caused by the current being injected into the device. The nature of this annealing is probably thermal (self-heating). RIEC values higher than 1 observed in the green LED can be explained by a generation-annealing of trap competition inside the device dominated by the second mechanism, up to the point of annealing the traps present in the device before the irradiation. Both of these explanations can be used to describe the current dependence of the RIEC curves for the blue and the white LEDs of the P3 sample. The cause of the observed degradation (~10%) across all of the investigated currents for the blue and the white LEDs is still under investigation, as the deductions and methods used in this work are not sufficient to give a complete interpretation of the effect. The slight difference in the response of the white and blue LEDs could again be explained by the modified thermal behavior of the diode related to the presence of the phosphor layer.
Figure 8a shows a maximum variation of ~8% for the red LED, still with a larger effect at the lower currents. This is in line with the hypothesis of the competition between trap-generating and trap-annealing processes present when the diode is both excited by the injected current and by the external irradiation field.
The results shown in
Figure 9 agree with the previous discussion. The spectral intensity measurements show that the decrease in EQE caused by ionizing radiation does not affect the emitted spectrum of the LEDs. Even for the case of white LEDs, no effect of radiation on the phosphor layer band can be observed with the proposed setup.
5. Conclusions
The results presented in this paper evidence the criticality of the design of LEDs to be implemented in high-radiation environments.
The visual investigation section identifies the lens material as a critical aspect of an LED design, to be considered in particular for its deployment in radiation-rich environments. The selection of a silicone lens bears multiple advantages for the packaging of the device, such as thermal stability and a higher threshold for photo-degradation [
1]. The results in this work show that the flexibility of the lens material might be severely compromised by a high TID, increasing the risk of critical damages to the lens which can compromise any radiation hardness achieved in the chosen diode technology. However, the impact of this effect on the performances of an illumination system can be easily mitigated at the system level by appropriate protection of the LEDs.
Indeed, the macroscopic radiation effects reported on the reflective layers and on the lenses indicate that the materials constituting the LEDs already start to suffer from severe radiation-induced damage at the investigated doses, ranging between 1 MGy and 2 MGy. The collected results evidence that LEDs should be considered as complex systems made of various components, whose optical and mechanical properties contribute to its operation and to the definition of its lifetime in high-radiation environments.
The results for the EQE variation with the accumulated dose highlight another important criticality in the design of the commercial package under test. Indeed, the implementation of an RGB-based white LED will be strongly impacted in terms of colorimetry because of the response of the different structures of different colored diodes, whereas this aspect seems to be mostly unaffected for single-LED designs of different colors. This supports the implementation of a single phosphor-based white LED as an illumination solution for the design of radiation-hard cameras or, in case a better white is needed, the only addition of an LED to cover the missing band between the blue and yellow band, instead of additional diodes.
The RIEC results bring forward a warning for the utilization of LED sources in radiation environments in different bias regimes (ON or OFF). The main advantage of this technique is that it saves electrical energy. However, it also introduces a trade-off between power consumption and the reliability of the LED. Keeping the device turned ON when exposed to TIDs may reduce degradation, but this also increases power consumption. These results also allow further discussion on the optical budget compensation for camera solutions in radiation environments. While the degradation variation at different bias currents is something that will need further investigation, the results for the EQE characteristics clearly show a lower impact of ionizing radiation on the LED at higher currents, as these high current injection regimes are less affected by the trap-assisted recombination mechanism that seems to dominate the radiation-induced effects in LEDs. This suggests the solution of implementing a lower number of LEDs driven at higher currents to be more appealing in these environments.