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Silicon drift detector

A silicon drift detector (SDD) is a semiconductor-based X-ray detector that employs a radial electric field within a fully depleted high-resistivity silicon volume to transport electron-hole pairs generated by incident X-ray photons to a small central anode, enabling precise energy measurement through low capacitance and minimal electronic noise.^[1] This design, first proposed by Emilio Gatti and Pavel Rehak in 1983 as a novel charge transport scheme in semiconductors, revolutionized X-ray spectroscopy by overcoming limitations of traditional detectors like silicon PIN diodes and lithium-drifted silicon (Si(Li)) devices.^[2]^[3] The core structure of an SDD consists of a thin entrance window for X-ray absorption, concentric ring electrodes that generate the drifting field, and an integrated front-end field-effect transistor (FET) connected via a short metal line to the anode, which keeps the anode capacitance as low as 25–150 fF regardless of the detector's active area (typically 10–80 mm²).^[3]^[4] When an X-ray photon interacts with the silicon, it creates electron-hole pairs proportional to its energy; the electrons are then laterally drifted toward the anode under the applied field, where they induce a voltage pulse for amplification and analysis.^[1] This process supports detection of X-ray energies from approximately 0.1 keV to 30 keV with exceptional energy resolution, often achieving a full width at half maximum (FWHM) below 145 eV at the Mn Kα line (5.9 keV) when cooled to -20°C using a single-stage Peltier element, eliminating the need for liquid nitrogen cooling required by older Si(Li) detectors.^[3]^[1] Key advantages of SDDs include their ability to handle high count rates exceeding 1,000,000 counts per second (cps) without significant peak broadening, thanks to short shaping times (as low as 100 ns) and low leakage currents, making them ideal for demanding environments.^[5]^[3] Compared to conventional silicon detectors, SDDs offer superior signal-to-noise ratios due to the decoupled anode capacitance from the collection area, allowing larger detector sizes without resolution loss and enabling better sensitivity to low-energy X-rays.^[6] Modern advancements, such as monolithic arrays and integrated readout electronics, further enhance performance for pixelated applications, with ongoing developments focusing on radiation hardness and asynchronous readout for space-based instruments.^[7] SDDs are widely applied in fields such as scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDS) for elemental analysis, X-ray fluorescence (XRF) spectrometry for material characterization, and X-ray astronomy missions requiring high-resolution imaging and spectroscopy.^[3]^[6] In medical and industrial settings, they facilitate portable analyzers and synchrotron beamline experiments, while in particle physics, they support vertex tracking in heavy-ion collisions.^[1] Their compact design and reliability have made SDDs the state-of-the-art choice for high-throughput X-ray detection since the 1990s.^[3]

History and development

Invention

The silicon drift detector was invented in 1983 by Emilio Gatti of the Istituto Nazionale di Fisica Nucleare (INFN) and Politecnico di Milano in Italy, and Pavel Rehak of Brookhaven National Laboratory in the United States.^[2]^[8] The device emerged from collaborative efforts between these institutions to address limitations in existing semiconductor detectors for particle physics applications.^[9] The invention was motivated by the demand for low-noise, position-sensitive detectors capable of high-resolution tracking of ionizing particles in high-energy physics experiments. Gatti and Rehak sought to develop a semiconductor detector with drastically reduced anode capacitance—independent of the active area—to minimize electronic noise while enabling precise position measurements. This concept built directly on their earlier proposal of sideward depletion in late 1982, which allowed for lateral depletion of the silicon bulk using peripheral electrodes, inspired by principles from gas drift chambers.^[9]^[2] The first experimental demonstration of the silicon drift detector occurred in 1983 at Politecnico di Milano, where initial prototypes confirmed the feasibility of charge drifting in silicon under controlled electric fields. These results were formalized in the seminal paper by Gatti and Rehak, published in 1984 in Nuclear Instruments and Methods in Physics Research Section A.^[9]^[2] Early prototypes focused on achieving two-dimensional position sensitivity, paving the way for applications in tracking ionizing radiation with improved spatial resolution over traditional silicon detectors. A patent for the design was filed on February 24, 1984.^[9]

Key advancements

In the late 1980s, silicon drift detectors (SDDs) were adapted for X-ray spectroscopy, building on their initial design for particle tracking, with early proposals for X-ray applications emerging around 1985 and demonstrations by the INFN-Milano group in subsequent years, including tests reported in 1987 that highlighted their potential for low-noise energy measurements.^[10]^[11] During the 1990s, significant progress was made in developing monolithic arrays of SDDs, which allowed for larger detection areas—reaching up to several cm²—while preserving the low capacitance that minimizes electronic noise and enables high-resolution spectroscopy.^[11] These arrays, often featuring hexagonal or linear configurations, facilitated multi-element detection systems suitable for imaging and mapping applications, marking a shift toward scalable implementations.^[12] Commercialization of SDDs began in the 1990s, led by companies such as KETEK GmbH and Amptek, which introduced the first generations of modular systems optimized for X-ray fluorescence (XRF) and energy-dispersive X-ray (EDX) analysis.^[13]^[10] By the 2010s, these detectors saw widespread adoption in electron microscopy, where their high count-rate capabilities and compact design revolutionized elemental mapping by reducing acquisition times from hours to minutes compared to traditional Si(Li) detectors.^[11] In the early 2000s, the integration of field-effect transistors (FETs) directly onto the SDD chip represented a pivotal advancement, minimizing stray capacitance and electronic noise to achieve sub-5 electron rms levels, thereby enhancing signal fidelity and energy resolution even at elevated count rates.^[11] Post-2010 developments have further refined SDD performance, including Peltier-only cooling schemes that eliminate the need for liquid nitrogen while maintaining low dark currents, and enhanced high-flux handling for demanding environments. For instance, Brookhaven National Laboratory's upgrades in the 2020s to SDD arrays for synchrotron-based X-ray microprobes have improved energy resolution at high rates, enabling faster detection of low-energy X-rays and broader experimental throughput.^[7]^[11]

Design and structure

Basic components

The silicon drift detector (SDD) is fabricated from a high-purity n-type silicon wafer serving as the base material, typically 300–450 µm thick and with a resistivity of 4–9 kΩ·cm to minimize leakage current.^[14]^[12] This high-resistivity silicon enables full depletion under reverse bias, forming the active volume for detection.^[2] At the center of the front side lies the anode, a small n+ implant (typically with a diameter of 50–200 µm) designed for efficient charge collection within the surrounding depleted region.^[10] On the backside, a uniform p+ implant acts as the cathode, spanning the entire detector area to facilitate reverse biasing and depletion.^[15] SDDs may operate as standalone devices or incorporate monolithic integration of a preamplifier field-effect transistor (FET) directly on the silicon chip, reducing stray capacitance between the sensor and readout electronics.^[12]^[16] Protective features include an entrance window—often made of silicon nitride or beryllium—to allow X-ray transmission while sealing the detector, along with passivation layers such as silicon dioxide to suppress surface recombination.^[17]

Electrode configuration

The electrode configuration of a silicon drift detector (SDD) features concentric p⁺ ring electrodes implanted on the front side of an n-type silicon wafer, surrounding a central n⁺ anode. These rings, typically numbering 10 to 50 depending on the detector's active area and drift path length, are designed as narrow strips to minimize the dead layer while providing precise control over the electric field.^[2]^[18] To establish the radial drift field for electron transport, the rings are reverse-biased with a stepped voltage profile that increases in negative magnitude from the outer ring toward the anode. The outermost ring is often held near 0 V, with progressive steps down to -100 V to -500 V at the innermost ring adjacent to the anode, creating a potential funnel that directs charges inward without significant lateral spreading.^[10]^[19] The back-side p⁺ cathode contact is biased at a positive voltage relative to the rings (typically 100-500 V) to fully deplete the silicon bulk and support the overall reverse bias. The central n⁺ anode is maintained at approximately 0 V or a small positive bias of 1-5 V to efficiently collect drifting electrons while reverse-biasing the anode junction and minimizing recombination.^[20]^[18] Variants of the standard cylindrical configuration include spiral or rectangular electrode geometries, particularly for arrayed detectors where multiple anodes require compact layouts to cover larger areas. In spiral designs, the p⁺ electrodes follow a coiled path around the anode to simplify biasing without external resistor chains, reducing power dissipation and integration complexity. Guard rings, additional p⁺ or n⁺ structures at the periphery, are incorporated to mitigate edge effects, suppress surface leakage currents, and prevent premature breakdown under high bias.^[21]^[22] SDDs are fabricated using a planar diffusion process on high-purity n-type silicon wafers, involving ion implantation for the p⁺ rings and n⁺ anode followed by thermal diffusion to form the junctions. This approach is fully compatible with CMOS technology, enabling on-chip integration of readout electronics such as JFETs directly at the anode to further reduce capacitance and noise.^[20]

Working principle

Charge generation and drift

When an X-ray photon with energy typically in the range of 1-30 keV interacts with the silicon in a silicon drift detector (SDD), it undergoes photoelectric absorption, ejecting an inner-shell electron and creating a cascade of subsequent ionizations that generate electron-hole pairs.^[23] The average energy required to produce one such pair in silicon is approximately 3.6 eV at room temperature.^[23] For example, a 5.9 keV photon from the Mn Kα line generates about 1637 electron-hole pairs.^[24] These charge carriers are produced near the point of entry on the detector's entrance window side, with the number of pairs directly proportional to the incident photon's energy, providing the basis for energy measurement. The generated electrons, as minority carriers in the n-type silicon, drift laterally toward the central anode under a radial electric field established by biased ring electrodes on the rear surface. This field configuration ensures that electrons from any entry point across the detector's active area converge on the small anode, independent of their initial position, enabling a compact readout structure with low capacitance. The drift velocity v_d of the electrons is given by v_d = \mu E, where \mu is the electron mobility (approximately 1350 cm²/V·s in silicon at room temperature) and E is the lateral electric field strength, typically 100-500 V/cm.^[25] This linear relationship holds below saturation fields, resulting in drift times typically on the order of 0.2–5 μs, depending on the distance to the anode, field uniformity, and detector size, which also allows for position sensitivity in arrayed detectors via time-of-flight measurements.^[10] Meanwhile, the holes drift vertically through the fully depleted silicon bulk toward the cathode on the entrance side, ensuring complete charge collection and maintaining the depletion region without significant lateral spreading.^[25] This vertical hole transport, driven by the applied bias, supports the detector's high depletion voltage (often several hundred volts) while the lateral electron drift isolates the signal collection, minimizing capacitance and electronic noise.

Signal readout

In silicon drift detectors (SDDs), the electrons arriving at the small central anode, after drifting laterally across the detector volume, induce a voltage pulse whose amplitude is proportional to the deposited energy. This charge-to-voltage conversion occurs due to the anode's extremely low capacitance, typically 0.1–0.3 pF, which minimizes electronic noise and enables high energy resolution independent of the detector's active area.^[10] The initial voltage signal is then preamplified using an integrated field-effect transistor (FET), often a junction FET (JFET) or CMOS-based integrator, mounted directly on the detector to reduce stray capacitance and added noise. This preamplifier provides high gain while incorporating a reset mechanism to discharge the feedback capacitor after each event, allowing continuous operation; the design ensures equivalent noise charge levels as low as 3–5 electrons rms at room temperature.^[10]^[26] Subsequent signal processing involves a shaping amplifier that filters the preamplified pulse to optimize the signal-to-noise ratio, commonly employing triangular or Gaussian filter shapes with peaking times of 0.25–4 µs to balance resolution and count rate performance. These shapers suppress high-frequency noise while preserving pulse height information, with Gaussian profiles particularly effective for minimizing ballistic deficit in high-rate environments.^[10] In modern SDD systems, application-specific integrated circuits (ASICs) handle digital processing, including peak detection, pile-up rejection, and multichannel analysis for generating energy spectra; these ASICs support count rates exceeding 1 MHz per channel by performing on-the-fly event validation and timestamping. The resulting output is typically a digital spectrum binned into energy channels (e.g., 2048 bins spanning 0–20 keV), calibrated using standard lines such as the Mn Kα peak at 5.9 keV from an ⁵⁵Fe source to ensure accurate energy scaling.^[27]

Performance characteristics

Energy resolution

The energy resolution of a silicon drift detector (SDD) is quantified by the full width at half maximum (FWHM) of the photopeak in the energy spectrum, which measures the detector's ability to distinguish between photons of closely spaced energies. For the standard calibration line at 5.9 keV (Mn Kα), typical FWHM values range from 123 to 150 eV, depending on detector design, operating temperature, and readout electronics.^[28]^[12]^[29] This resolution enables clear separation of X-ray lines in spectroscopy applications, outperforming older silicon detectors in many cases. The fundamental limit to energy resolution arises from statistical fluctuations in charge carrier creation (Fano noise) and electronic noise in the readout chain, particularly from the integrated field-effect transistor (FET). In ideal conditions, the resolution approaches the Fano limit, but practical performance is described by the total noise in root-mean-square electrons:

\sigma = \sqrt{ F \frac{E}{\omega} + \mathrm{ENC}^2 }

where F \approx 0.115 is the Fano factor for silicon, E is the photon energy in eV, \omega \approx 3.65 eV is the average energy required to generate an electron-hole pair, and ENC is the equivalent noise charge (typically 10–15 electrons rms) dominated by FET contributions.^[30] The corresponding FWHM in energy units is then $2.355 \omega \sigma, yielding a Fano-limited value of approximately 119 eV at 5.9 keV without electronic noise. Key improvements stem from the SDD's low anode capacitance (around 100–150 fF), which minimizes ENC by reducing thermal and capacitive noise in the preamplifier.^[31] Additionally, thermoelectric cooling to -20°C to -50°C suppresses leakage current and thermal noise, stabilizing resolution; for instance, operation at -20°C routinely achieves FWHM below 145 eV at 5.9 keV.^[29]^[32] In advanced designs from the 2020s, resolutions as low as 121 eV have been demonstrated at 5.9 keV, surpassing the typical 130 eV of liquid-nitrogen-cooled Si(Li) detectors.^[33]^[6] At low photon energies below 1 keV, resolution can be further influenced by absorption in the detector's dead layer (the thin entrance region before the active volume), leading to incomplete charge collection or escape peaks.^[34] Modern SDDs mitigate this through ultra-thin windows (reduced to ~0.1 μm thickness) and optimized surface passivation, preserving high quantum efficiency and resolution down to ~200 eV for elements like carbon or oxygen.^[35]^[12]

Count rate and throughput

Silicon drift detectors (SDDs) excel in handling high event rates, achieving maximum count rates of up to 1-2 million counts per second (cps) total for single-element detectors, with higher rates possible in multi-element arrays, significantly surpassing the limitations of traditional Si(Li) detectors, which are typically restricted to around 10,000 cps due to higher capacitance and longer processing times.^[36]^[28]^[37]^[5] Throughput in SDDs is defined as the number of processed events with less than 10% dead time, enabled by short drift times of 20-50 ns and parallel processing in multi-anode arrays, allowing efficient handling of incoming signals without substantial loss.^[38]^[12]^[39] To mitigate pile-up effects at high fluxes, digital algorithms in SDD readout systems discard overlapping pulses, preserving a peak-to-background ratio greater than 10,000:1 even under intense irradiation.^[5]^[40] Peltier cooling in SDDs maintains operational stability at elevated count rates without requiring liquid nitrogen, facilitating deployment in portable and field-based systems.^[7] At extreme rates exceeding 500,000 cps, however, SDD energy resolution can degrade by more than 20% owing to incomplete charge collection and increased ballistic deficits.^[41]^[42]

Applications

X-ray spectroscopy

Silicon drift detectors (SDDs) are widely employed in X-ray spectroscopy for detecting characteristic X-rays emitted from excited atoms in samples, enabling precise elemental identification across a broad energy range.^[33] In energy-dispersive X-ray fluorescence (EDXRF), SDDs facilitate non-destructive analysis by measuring the energy of fluorescence photons to determine elemental composition, achieving detection sensitivities down to parts per million (ppm) for transition metals in various matrices.^[43] This capability stems from the SDD's high energy resolution, typically below 150 eV at 5.9 keV, which allows clear separation of overlapping spectral peaks.^[44] In advanced setups, SDDs serve as fast detectors in hybrid systems combining energy-dispersive and wavelength-dispersive spectroscopy (WDS) at synchrotron beamlines, where their high count rates support rapid acquisition of high-precision data for alloy composition analysis.^[45] Recent developments as of 2024 include enhanced SDD models for handling higher photon fluxes at synchrotrons.^[46] These hybrids leverage the SDD's low noise and efficiency to handle intense photon fluxes, enabling quantitative mapping of trace elements in materials like steels and superalloys with sub-percent accuracy.^[47] The compactness of SDDs makes them ideal for portable and handheld EDXRF systems used in field applications such as mining exploration and forensic investigations.^[48] In mining, these units provide on-site ore grade assessment for elements like copper and gold, while in forensics, they aid in linking soil samples to crime scenes through rapid multi-element profiling.^[49] Their small size and thermoelectric cooling enable rugged, battery-operated operation without liquid nitrogen. Quantitative analysis in SDD-based EDXRF relies on software that deconvolves spectra to extract peak intensities, applying the fundamental parameters (FP) method to convert these into concentrations while correcting for matrix effects such as absorption and secondary fluorescence. The FP approach models physical interactions using atomic parameters, ensuring accuracy across diverse sample compositions by iteratively accounting for inter-element influences.^[50] SDDs' high throughput supports real-time processing in these workflows.^[3] Practical examples include environmental monitoring, where portable SDD-EDXRF systems detect heavy metals like lead and arsenic in soil at ppm levels to assess contamination hotspots.^[51] In art conservation, SDDs enable non-invasive pigment identification on paintings, distinguishing modern synthetic colors from historical ones through elemental signatures such as mercury in vermilion or cadmium in yellows.^[52] These applications highlight the SDD's role in preserving cultural heritage without sample removal.^[53]

Electron microscopy

Silicon drift detectors (SDDs) are widely integrated into scanning electron microscopes (SEMs) and transmission electron microscopes (TEMs) for energy-dispersive spectroscopy (EDS), enabling the mapping of elemental distributions at the nanoscale. SDD arrays with large active areas (e.g., 100 mm² or more) facilitate rapid acquisition of hyperspectral data, achieving mapping speeds exceeding 100,000 pixels per second, which allows for efficient analysis of complex microstructures in seconds to minutes.^[11] ^[54] This capability stems from the detectors' high throughput and low noise, supporting detailed chemical imaging without significant compromise in spatial resolution. Multi-element SDD configurations enhance collection efficiency by providing large solid angles greater than 1 steradian (sr), often up to 2.2 sr or more, which substantially outperforms traditional single-detector setups by capturing a higher fraction of emitted X-rays.^[55] In SEM and TEM applications, these detectors excel in materials science for analyzing semiconductor defects, such as identifying impurity distributions in silicon wafers; in biology for determining tissue composition, including elemental mapping of cellular structures; and in geology for characterizing mineral phases, like distinguishing silicate compositions in rock samples.^[11] System integration of SDDs often employs windowless or ultra-thin window designs to enable sensitive detection of low atomic number (low-Z) elements, such as boron (B), carbon (C), and oxygen (O), which are critical for accurate microanalysis in beam-sensitive samples.^[56] Upgrades to SDD technology, particularly in the 2010s and continuing into the 2020s—including improved electronics, array multiplexing, and new series like the VITUS H7 launched in 2024—have enabled real-time hyperspectral imaging in environmental SEMs, allowing dynamic observation of hydrated or beam-sensitive materials like biological specimens under low-vacuum conditions.^[11] ^[57] Their excellent energy resolution further supports precise identification of light elements in these contexts.^[11]

Advantages and limitations

Advantages

Silicon drift detectors (SDDs) exhibit low anode capacitance, typically on the order of 0.1 pF, compared to approximately 100 pF in traditional Si(Li) detectors.^[58] This reduction in capacitance, enabled by the lateral drift mechanism that confines signal charge to a small collection anode, minimizes electronic noise and allows for superior energy resolution without the need for cryogenic cooling.^[29]^[3] SDDs support high throughput at elevated count rates, often exceeding 100,000 counts per second, due to short shaping times as low as 0.1–1 μs, which can reduce analysis times by factors of 10 to 100 in demanding environments.^[5]^[6] Their compact design, with detector volumes under 1 cm³, combined with Peltier thermoelectric cooling to temperatures around -20°C, enables portable and vibration-insensitive systems without bulky liquid nitrogen Dewars.^[58]^[6] SDDs offer scalability through easy arraying into monolithic or multi-element configurations, achieving large effective areas up to 100 mm² while maintaining uniform response across the array.^[12]^[29] In terms of cost-effectiveness, SDDs consume low power, typically around 1 W for cooling and operation, and require no consumables like liquid nitrogen, making them more economical than traditional systems over time.^[59]^[29]

Limitations

Silicon drift detectors (SDDs) exhibit sensitivity limitations at low energies due to X-ray absorption in the entrance window, such as the undepleted p-n junction layer, which can restrict effective detection below approximately 200 eV.^[60] This absorption reduces quantum efficiency for soft X-rays, though mitigation is possible using ultra-thin beryllium (Be) windows or optimized thin p+ implant layers to extend sensitivity down to around 100 eV.^[60] Temperature dependence poses a significant constraint, as SDD performance relies on active cooling, typically to -20°C to -30°C via Peltier elements, to minimize leakage current and electronic noise for optimal energy resolution.^[3]^[60] Higher operating temperatures increase leakage current exponentially—doubling roughly every 7–10°C—which degrades resolution and signal integrity, necessitating precise thermal stabilization in practical setups.^[60] In large-area SDD arrays, position non-uniformity arises from edge effects and variations in charge collection efficiency, potentially causing resolution inconsistencies of 10–20% across the detector surface due to electric field distortions near boundaries. Calibration procedures and guard ring designs are essential to compensate for these spatial variations and ensure uniform performance.^[60] High-end custom large-area SDD arrays remain relatively costly owing to specialized fabrication processes and low yields in monolithic integration, although costs are decreasing with advancements in CMOS-compatible manufacturing.^[10] Radiation damage from cumulative exposure in high-flux environments, such as synchrotrons, leads to increased leakage current and progressive degradation of energy resolution over time through displacement defects in the silicon lattice.^[61]

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Portable Element Analyzers for Minerals - Bruker
Bruker's portable and handheld XRF for minerals allows you to perform on-site real time element analysis of mineralogical and geological samples.
[49]
The use of portable XRF as a forensic geoscience non-destructive ...
Portable XRF (pXRF) field surveys have been shown to be effective for rapid evaluation of heavy metal soil contamination [26], [22], [27], [28], living ...
[50]
(PDF) How to Apply the Fundamental Parameters Method to the ...
Nov 3, 2015 · The proposed adapted FP method consists of an appropriate sample preparation, a unique concentration calculation method and calibration procedure.
[51]
Heavy Metal Screening in Soil with a Handheld XRF Analyzer - AZoM
Jul 12, 2023 · Handheld X-ray fluorescence (XRF) analyzers are perfect for mapping a site's pollution, determining the extent and boundaries of contamination, and defining ...
[52]
Works of art investigation with silicon drift detectors - ScienceDirect
A portable XRF spectrometer was realized at the research laboratories of Politecnico di Milano, and used for investigation on different kinds of works of art.
[53]
Portable XRF Technology for Archaeometry and Authentication and ...
Portable XRF is used for on-site analysis of art objects, providing data for conservation, archaeometry, and authentication, without damaging the objects.
[54]
EDS Analysis | Large Angle SDD-EDS | Supplier - JEOL USA Inc.
JEOL, currently the largest EDX detector manufacturer in the industry, has developed a number of Silicon Drift Detectors (SDD) for various applications ...
[55]
Gather-X Windowless EDS - JEOL USA Inc.
The new 100mm 2 windowless EDS can collect the entire X-ray range produced from the IT800 series FE SEMs including low-energy X-rays down to Lithium.
[56]
An Introduction to Silicon Drift Detectors - AZoM
May 1, 2015 · When the integrated FET is at the device center as shown in Figure 6, it is vulnerable to irradiation by incident X-rays. Moreover, the ...Missing: 2000s | Show results with:2000s
[57]
Advantages of Silicon Drift Detectors - Spectroscopy Online
Figure 1: Throughput with the silicon drift detector. First, the same acquisition time can be used as with the conventional detector. Since a faster peaking ...
[58]
Thermal performance of a 61-cell Si-drift detector module with ...
At a power dissipation level of 1.25 W , an ambient temperature of 22°C and air velocity of ⩾18 cm / s the sensor can be operated down to 13°C and 9°C with a ...
[59]
https://www.sciencedirect.com/science/article/abs/pii/S0168900203025774
[60]
Simulation of Radiation Damage for Silicon Drift Detector - MDPI
Apr 13, 2019 · The displacement damage leads to an increase in detector leakage current and thus degrades the energy resolution. So, the radiation damage is ...