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Skipper-CCDs: Low-Noise Silicon Imaging Sensors

Updated 7 January 2026
  • Skipper-CCDs are silicon imaging sensors with a floating-gate output that enables true nondestructive multiple sampling for ultra-low noise performance.
  • They are fabricated on high-resistivity, backside-coated silicon and deployed in large mosaics for applications in astronomy, dark matter research, and quantum metrology.
  • Synchronized multi-amplifier readout and adaptive sampling techniques reduce noise according to the 1/√N law, supporting precise photon counting and advanced ROI strategies.

Skipper Charge-Coupled Devices (Skipper-CCDs) are a class of silicon-based imaging sensors distinguished by their floating-gate output architecture, enabling true nondestructive, multiple sampling of pixel charge packets. Unlike conventional CCDs, which destructively read each pixel’s charge once per exposure, Skipper-CCDs are capable of reading the same charge packet numerous times without degrading the signal, thereby facilitating ultra-low readout noise and single-electron resolution. This capability has profound implications for applications in astronomical spectroscopy, rare-event searches (dark matter, neutrino physics), ultra-low light imaging, and quantum sensing, as demonstrated in large-format deployments and high-impact experiments (Villalpando et al., 2022, Villalpando et al., 2024, Barak et al., 2021).

1. Operating Principle and Readout Noise Suppression

Central to Skipper-CCD technology is the integration of a floating-gate output stage, which capacitively isolates the sense node from the video amplifier. This arrangement permits repeated, nondestructive measurements of a pixel’s charge packet. Each measurement exhibits an RMS noise σ1\sigma_1, and by performing NN independent reads per pixel and averaging, the effective noise is reduced according to

σN=σ1N\sigma_N = \frac{\sigma_1}{\sqrt{N}}

For best-performing amplifiers, σ1\sigma_1 ranges from 2.5e2.5\,e^{-} to 4.5e4.5\,e^{-} RMS/pixel; with N=800N=800 reads, sub-electron noise levels of σN0.16e\sigma_N \sim 0.16\,e^{-} RMS/pixel are obtained, manifesting clear single-electron quantization in the pixel-value histogram (Villalpando et al., 2022, Barak et al., 2021).

This tunable noise property is critical for applications requiring single-electron (photon-counting) sensitivity, as it allows dynamic allocation of readout precision and frame time, including advanced Region-of-Interest (ROI) strategies (Chierchie et al., 2020).

2. Device Architecture, Mosaic Focal Planes, and Packaging

Skipper-CCDs are fabricated on high-resistivity (>5>5 kΩ\Omega\cdotcm), fully-depleted pp-channel silicon, often thinned to 250μ250\,\mum for astronomical applications and processed with a backside anti-reflective coating to maximize quantum efficiency. Devices for astronomy feature large imaging formats, e.g., 6k×1k6\mathrm{k}\times 1\mathrm{k} arrays of 15μ15\,\mum pixels (Villalpando et al., 2022, Villalpando et al., 2023). These CCDs are mechanically integrated as mosaics (often 2×22\times 2) to cover focal planes up to 4k×4k4\mathrm{k}\times 4\mathrm{k}.

Packaging involves the use of flexible printed circuits for clocks, biases, and video; precision alignment structures such as gold-plated Invar feet; and modular carrying boxes/test fixtures to facilitate handling and installation within vacuum dewars. Inter-device gaps are kept below 500μ500\,\mum via custom mounts, ensuring compatibility with existing telescope cryostat geometries (Villalpando et al., 2022).

3. Synchronized Readout Electronics and Scalability

Each Skipper-CCD typically features four independent output amplifiers. For a $4$-CCD mosaic, synchronized readout across $16$ amplifiers is achieved via custom preamplifier PCBs, low-threshold acquisition (LTA) boards, and FPGA-based clock and bias generation (Villalpando et al., 2022). The readout electronics employ a “Leader/Follower” topology, guaranteeing sub-μ\mus alignment across all channels, and support 16-bit ADCs and Ethernet for data transfer. Firmware advances facilitate high-throughput (>1>1\,Mpix/s), ROI, and multiplexed readout modes, enabling instrument-scale arrays with thousands of parallel channels (Botti et al., 2024, Chierchie et al., 2022).

Noise scaling adheres to the 1/N1/\sqrt{N} law up to at least N300N\sim 300; deviations at higher NN indicate correlated noise sources, subsequently addressed by hardware and signal-processing optimizations. Key signal-to-noise formulas for spectroscopy incorporate the tunable Skipper-CCD readout noise as a quadratic term, allowing direct control of detector-limited S/N by increasing NSampN_{\mathrm{Samp}} (Villalpando et al., 2022).

4. Performance Metrics: Noise, Quantum Efficiency, Charge Transfer

Representative performance metrics from science-grade Skipper-CCD systems include:

Metric Typical Value Notes
Single-sample readout noise (σ1\sigma_1) 2.54.5e2.5 - 4.5\,e^{-} RMS/pix per amplifier (Villalpando et al., 2022)
Sub-electron performance (N=800N=800) 0.16e0.16\,e^{-} RMS/pix photon counting (Villalpando et al., 2022)
Full-well capacity 40,00065,000e40,000 - 65,000\,e^{-} voltage-optimized (Villalpando et al., 2024)
Charge transfer inefficiency (CTI) 3.44×1073.44 \times 10^{-7} averaged (Villalpando et al., 2023)
Dark current 2×104\sim 2 \times 10^{-4} ee^{-}/pix/s 140K140\,\textrm{K} operation (Villalpando et al., 2023)
Absolute quantum efficiency (QE) 80%\gtrsim 80\% (450–980nm), 90%\gtrsim 90\% (600–900nm) AR-coated (Villalpando et al., 2024)

QE measurements are performed via calibrated photodiodes and integrating spheres; consistency across amplifiers and across wavelength bands is confirmed at the <6%<6\% uncertainty level (Villalpando et al., 2024).

CTI values, determined from extended pixel-edge response, are well below levels impacting astrometric or spectroscopic use. Dark current in deep underground or shielded environments is orders of magnitude lower than surface lab values, supporting rare-event sensitivity in dark matter and neutrino applications.

5. Region-of-Interest Readout and Adaptive Sampling Strategies

Given that readout noise scales as 1/N1/\sqrt{N} and readout time as NN, Skipper-CCDs support adaptive sampling approaches whereby high-NN (sub-ee^{-} noise) is applied selectively to regions of interest (subarrays, spectral windows), while the remainder of the array is read with minimal NN for speed (Chierchie et al., 2020, Drlica-Wagner et al., 2021). Firmware “recipes” allow per-pixel or per-block NN assignment. For instance, 5%5\% of pixels at N100N\sim 100 can achieve 0.5e0.5\,e^{-} RMS in <4<4\,min per frame, while background pixels are scanned quickly at single-read noise (Villalpando et al., 2023).

This flexibility enables “smart spectroscopy” workflows, e.g., targeted photon counting on faint emission lines or photometric windows, dramatically improving S/N in readout-noise-dominated regimes. Observations of faint high-zz quasars, emission-line galaxies, and ultra-faint dwarf stars have demonstrated real-world increases in sensitivity: detection of features hidden above 1e1\,e^{-} readout noise, and S/N improvements from $1.2$ to $10.5$ for ELG lines upon reducing σread\sigma_{\mathrm{read}} from 6e6\,e^{-} to 0.7e0.7\,e^{-} (Villalpando et al., 2024).

6. Applications in Astronomy, Particle Physics, and Quantum Measurement

Skipper-CCD arrays have been deployed for:

  • Astronomical spectroscopy: Integral field units (IFUs) on large telescopes, with focal planes supporting photon-counting operation and sub-electron noise over 4k×4k4\mathrm{k} \times 4\mathrm{k} formats (Villalpando et al., 2022, Villalpando et al., 2023, Villalpando et al., 2024).
  • Dark matter and neutrino detection: High-mass arrays with sub-0.1e0.1\,e^{-} thresholds, modular packaging for radio-purity and cryogenic operation, and demonstrated background rates 103e\ll10^{-3}\,e^{-}/pix/day (Lin et al., 8 Sep 2025, Barak et al., 2021).
  • Reactor-based CEν\nuNS searches: Low-background, shielded detection at nuclear facilities, leveraging 0.17e0.17\,e^{-} RMS noise with thick lead and polyethylene shielding (Depaoli et al., 2024).
  • Quantum metrology: Self-calibrating, single-electron current sources for quantum-based ampere realization (Gamero et al., 11 Feb 2025).
  • Space missions: Radiation-hardened Skipper-CCD designs for proposed satellite instruments, demonstrating sustained photon-counting performance post-proton irradiation (Roach et al., 2024).

In each domain, the sub-electron noise and associated signal discrimination unlock new sensitivity thresholds and practical operation modes that were previously unreachable with conventional CCDs or CMOS imagers.

7. Future Directions: Multi-Amplifier Architectures, Large-Scale Arrays, Advanced Readout Modes

The evolution of Skipper-CCD technology is focused on scalability and throughput. Multi-Amplifier Sensing (MAS) Skipper-CCDs segment the serial register across NaN_a floating-gate nodes, allowing parallel multi-sample readout and reducing noise as 1/NsNa\sim 1/\sqrt{N_s N_a} for NsN_s samples per amplifier. This architecture accelerates readout by 1/Na1/N_a, enabling full 4k×4k4\mathrm{k} \times 4\mathrm{k} photon-counting operation in under a minute (Villalpando et al., 2024).

Large-scale instrument arrays, including the 10kg10\,\textrm{kg} OSCURA experiment, employ wafer-level multi-channel silicon packaging, hierarchical analog and digital multiplexing, and automated module assembly, with design targets of <0.3e<0.3\,e^{-} RMS noise, >90%>90\% yield, and background control to <<mHz/pixel (Botti et al., 2024, Chierchie et al., 2022).

Firmware and readout schemes continue to advance the exploitation of ROI, dynamic NN adaptation, and high-speed synchronization, ensuring the practical viability of next-generation Skipper-CCD focal planes in ground- and space-based observatories and precision low-threshold experiments.


Collectively, Skipper-CCDs define the current state-of-the-art in low-noise silicon imaging and detection. Their unique floating-gate, multiple-sampling architecture facilitates dynamic, application-specific management of readout noise and time, single-electron and photon-counting capability, and modular scalability from laboratory prototypes to gigapixel-scale arrays. These characteristics underlie transformative advances in astronomy, particle physics, and quantum metrology (Villalpando et al., 2022, Villalpando et al., 2024, Barak et al., 2021, Botti et al., 2024).

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