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Cryogenic electronics operate in environments where temperatures can fall below approximately −150 °C, and in some scientific systems may approach absolute zero by only a few kelvin. Such conditions are encountered in space instrumentation, superconducting detectors, quantum computing systems, infrared imaging, radio astronomy, particle physics experiments, medical imaging, and scientific sensors. Printed circuit boards used in these environments cannot simply be designed using conventional room-temperature assumptions. Extremely low temperatures affect the electrical, thermal, and mechanical properties of substrates, copper conductors, solder joints, connectors, component packages, and dielectric materials.


A successful cryogenic PCB therefore requires simultaneous consideration of:

  • PCB substrate material

  • Copper metallization

  • Coefficient of thermal expansion

  • Dielectric stability

  • Signal integrity

  • Solder-joint reliability

  • Component selection

  • Thermal cycling

  • Moisture and contamination

  • Vacuum compatibility

  • Mechanical stress

Material selection is particularly important because the PCB may repeatedly transition between room temperature and temperatures such as 77 K (−196 °C) for liquid-nitrogen systems or even 4 K (−269 °C) in liquid-helium and superconducting systems.


Oxygen-Free High-Conductivity (OFHC) copper is a high-purity copper widely used in cryogenic systems because of its excellent electrical and thermal conductivity. At very low temperatures, its thermal conductivity can increase significantly, making it suitable for thermal straps, cold plates, detector connections, grounding structures, and high-current interconnects. Its low oxygen content also improves material purity and helps reduce unwanted electrical and thermal losses in sensitive cryogenic instrumentation.

Material Challenges in Cryogenic PCB

Design

PCB Substrate Selection


At cryogenic temperatures, conventional PCB materials can undergo dimensional changes, increased brittleness, variations in dielectric properties, and mechanical stresses. The original design considerations therefore identify polyimide and PTFE-based substrates as particularly useful candidates because of their thermal and electrical characteristics at low temperatures.


Recommended PCB Materials for Cryogenic Electronics


There is no single PCB laminate that is optimal for every cryogenic application. Material choice should depend on operating temperature, RF frequency, mechanical requirements, thermal dissipation, flexibility, vacuum requirements, and manufacturing constraints.


Polyimide


Polyimide is one of the strongest general-purpose candidates for cryogenic electronic assemblies. DuPont reports that Kapton HN polyimide film has been successfully used at temperatures down to approximately −269 °C, making polyimide especially attractive for cryogenic flex circuits, interconnects, insulation, and specialized PCB constructions.


Polyimide provides:


  • Good mechanical flexibility,

  • Good electrical insulation,

  • Resistance to large temperature excursions,

  • Relatively good dimensional stability,

  • Suitability for flex and rigid-flex PCB structures,

  • Low mass and good compatibility with aerospace systems.


Kapton EN is specifically designed as a dielectric substrate for flexible printed circuits and provides dimensional stability, with a CTE that better matches copper.


Recommended applications


Polyimide is particularly suitable for:


  • Liquid-nitrogen electronics,

  • Detector readout electronics,

  • Flexible cryogenic interconnects,

  • Space instruments,

  • Scientific sensors,

  • Superconducting-detector interfaces,

  • Low-mass instrumentation.


For many cryogenic electronic systems, polyimide would be my first material to evaluate.


Practical PCB Material Selection Table




Cryogenic PCB design requires substantially more attention to material behavior than conventional electronic design. Substrate contraction, copper-to-dielectric CTE mismatch, solder fatigue, changing dielectric properties, component behavior, moisture, vacuum compatibility, and mechanical stress all become important as temperatures approach liquid-nitrogen or liquid-helium conditions.

For general cryogenic circuitry, polyimide is one of the strongest starting choices, particularly when flexibility or large thermal excursions are expected. Kapton polyimide has been documented to operate down to approximately −269 °C.


For cryogenic RF and microwave electronics, RT/duroid 5870 is particularly noteworthy, since Rogers's testing for NASA repeatedly cycled copper-clad transmission-line structures down to approximately 2.4 K while maintaining copper adhesion and a relatively stable electrical length.

For circuits where heat extraction is critical, aluminum nitride ceramic offers exceptionally high thermal conductivity while remaining electrically insulating.

A practical material strategy is therefore:


Polyimide → general cryogenic electronics
Kapton flex → cryogenic interconnections
RT/duroid 5870/5880 → RF, UWB and microwave circuitry
RO3003 → precision RF where additional cryogenic qualification is performed
Al₂O₃ → ceramic sensor and hybrid circuits
AlN → high-power/high-thermal-conductivity electronics
OFHC copper → thermal anchoring and specialized low-resistance conductors

Most importantly, no PCB laminate, solder system, or component should be assumed to be cryogenic-qualified solely on the basis of its room-temperature specifications. The final assembly should undergo functional testing and repeated thermal cycling at the actual intended operating temperature before deployment.



Ultra-Wideband (UWB) technology has become one of the most attractive solutions for high-accuracy localization in environments where conventional Global Navigation Satellite System (GNSS) signals are unavailable or unreliable. Indoor robotics, unmanned aerial vehicles, industrial automation, asset tracking, human-rescue systems, and GPS-denied navigation all require localization methods capable of providing short-range distance measurements with low latency and centimeter-level potential accuracy. This work explores a practical experimental platform based on UWB3000/DWM3000-class transceivers and ESP32-S3 controllers, combining three important ranging and localization techniques:


  • Single-Sided Two-Way Ranging (SS-TWR)

  • Double-Sided Two-Way Ranging (DS-TWR)

  • Time Difference of Arrival (TDoA)


The experimental hardware shown above consists of two UWB anchor nodes and one target node. Each UWB module is interfaced with an ESP32-S3 controller for configuration, packet exchange, timestamp acquisition, and communication with a host computer. The platform provides a useful testbed for studying ranging accuracy, synchronization, clock drift, Time-of-Flight estimation, TDoA positioning, and hybrid localization algorithms.


Why UWB for GPS-Denied Localization?

Localization becomes considerably more difficult when GNSS signals are blocked by buildings, tunnels, industrial structures, rubble, vegetation, or underground environments. A drone or mobile robot operating in such an environment requires an additional source of geometric information. UWB is particularly attractive because it transmits extremely short radio pulses over a wide bandwidth. The large bandwidth provides excellent time resolution, enabling the receiver to estimate the radio signal's propagation time. The fundamental principle is simple: a radio signal travels between two devices in a propagation time TTOF , the corresponding distance is d=cTTOF.


where

  • dd is the transmitter-to-receiver distance,

  • cc is the speed of light

  • TTOF is the measured Time of Flight.


The difficulty is that radio signals travel extremely quickly. A timing error of only 1 ns corresponds to approximately 0.30 m. Therefore, accurate ranging requires highly precise hardware timestamps and careful compensation for antenna delay, clock drift, multipath, non-line-of-sight propagation, and processing latency.


Experimental UWB Localization Platform


The prototype consists of three principal nodes: Anchor 1 → Target ← Anchor 2

The two anchors are installed at known positions, while the target represents the mobile node whose position must be estimated. Each subsystem contains:


System Architecture
System Architecture

  • UWB transceiver→ precise UWB packet transmission and timestamp generation

  • ESP32-S3→ UWB configuration, packet control, timestamp processing, USB/serial communication

  • Host computer→ distance calculation, TDoA processing, visualization, data logging, filtering, and potentially machine-learning-based correction.


Single-Sided Two-Way Ranging


Single-Sided Two-Way Ranging is one of the simplest UWB ranging techniques. Instead of requiring the anchor and target clocks to be synchronized, one device initiates a packet exchange. The sequence can be represented as



For example,



Why DS-TWR Can Be More Accurate


Consider two UWB nodes containing oscillators that differ slightly in frequency.



causes one device to measure a time interval slightly differently from the other device.


SS-TWR depends significantly on the timing interval measured using one side of the connection.

DS-TWR instead uses timing information from both devices. This allows much of the oscillator error to cancel mathematically. Therefore, DS-TWR generally provides better robustness when:

  • anchor and target oscillators have different clock offsets,

  • temperature varies,

  • packets require relatively long processing delays,

  • centimeter-level ranging is required.


The cost is an extra packet and therefore additional airtime and latency.


SS-TWR Versus DS-TWR


A practical comparison is:


Characteristic

SS-TWR

DS-TWR

Packet exchanges

Fewer

More

Implementation

Simpler

More complex

Measurement latency

Lower

Higher

Channel usage

Lower

Higher

Power consumption

Lower

Slightly higher

Clock-drift sensitivity

Higher

Lower

Expected accuracy

Good

Generally better

Mobile-node application

Very suitable

Very suitable

High-precision experiments

Possible

Preferred


For a swarm containing many nodes, SS-TWR can reduce network traffic. For laboratory characterization or precision positioning, DS-TWR is often preferred.

From Ranging to TDoA


TWR answers a simple question:

How far is the target from an anchor?

TDoA answers a different question:

What is the difference between the target's propagation distance to two receivers?


Important Limitation of a Two-Anchor TDoA System


The experimental system shown contains two anchors. With only a single TDoA measurement from two anchors, the target position generally cannot be uniquely determined in unrestricted two-dimensional space. Instead, TDoA identifies a hyperbolic locus containing multiple possible target locations. For example:



A third synchronized anchor would normally provide another TDoA equation.

Alternatively, the two-anchor system can combine TDoA with:

  • DS-TWR ranges,

  • SS-TWR ranges,

  • known altitude,

  • constrained motion,

  • IMU information,

  • optical flow,

  • visual odometry,

  • previous target position,

  • Kalman filtering,

  • drone motion models.

This makes the combination of TDoA + TWR particularly interesting.


Main Experimental Challenges


Several practical factors ultimately determine UWB localization accuracy.


  • Antenna orientation: Changing the relative orientation of UWB antennas can modify antenna group delay and received signal strength.

  • Multipath: Reflections can distort the detected first path.

  • NLOS propagation: Obstacles generally introduce positive range bias.

  • Anchor geometry: Poor anchor geometry can amplify position error even when range measurements are accurate.

  • Clock drift: Especially important for TDoA.

  • Antenna delay calibration: Incorrect TX/RX antenna delay creates a systematic offset.

  • USB and PC timing: PC timestamps should not replace the hardware UWB timestamps for Time-of-Flight estimation. USB and operating-system delays are much too large and nondeterministic.

  • Update rate: Higher ranging frequency provides faster tracking but increases network utilization.


Conclusion


The UWB3000 two-anchor-one-target platform provides a compact experimental environment for understanding the fundamental mechanisms underlying high-accuracy UWB localization.


SS-TWR offers a simple and communication-efficient method for measuring distance. Its low packet overhead makes it attractive for systems containing many mobile nodes, although oscillator mismatch can introduce measurement errors.


DS-TWR exchanges additional timing information and significantly reduces sensitivity to clock-frequency differences between the anchor and target. For this reason, it is particularly attractive for high-precision ranging and laboratory characterization.


TDoA, in contrast, measures the difference in signal arrival times at multiple anchors. It can support highly scalable localization because the mobile target may only need to transmit a single UWB message. Its principal technical challenge is precise synchronization between the anchors.


For the two-anchor prototype, TDoA alone defines a hyperbolic target-location constraint rather than a unique unrestricted 2D position. Combining TDoA with SS/DS-TWR ranging, previous motion information, IMU measurements, visual odometry, or additional anchors provides a much stronger localization solution.



  • Foto del escritor: Carlos Osorio
    Carlos Osorio
  • hace 2 días
  • 4 min de lectura

Multi-Pixel Photon Counters (MPPCs), also known as Silicon Photomultipliers (SiPMs), are compact solid-state photodetectors capable of detecting extremely low light levels with high gain, fast timing response, and relatively low operating voltage. These characteristics make MPPC technology attractive for particle physics instrumentation, radiation monitoring, medical imaging, space systems, and other applications that require reliable photon detection in challenging environments. An important consideration for these applications is the response of MPPC devices to fast-neutron radiation. Neutrons can interact with the silicon lattice indirectly through nuclear collisions, producing energetic recoil atoms and causing displacement damage within the semiconductor. Such defects may introduce additional generation–recombination centers and can modify important MPPC characteristics, including dark current, dark-count rate, noise, gain stability, photon-detection performance, and breakdown behavior.


Experimental MPPC/SiPM detector assembly and coaxial signal interface prepared for characterization during the 1 MeV fast-neutron irradiation campaign.
Experimental MPPC/SiPM detector assembly and coaxial signal interface prepared for characterization during the 1 MeV fast-neutron irradiation campaign.

Experimental Study with 1 MeV Fast Neutrons


This work investigates the behavior of an MPPC detector exposed to a 1 MeV fast-neutron irradiation environment. The objective is to characterize the sensor's electrical and detection performance before, during, and/or after irradiation, and to determine how accumulated neutron exposure affects its operation. The experimental hardware shown above incorporates the MPPC sensor and its associated signal interface, along with RF/coaxial connections for biasing, signal extraction, and connection to external characterization instrumentation. This configuration enables controlled measurements of the MPPC response while maintaining a practical interface between the irradiated detector and the acquisition electronics.


Particular attention can be given to changes in parameters such as:


  • Dark current and leakage current

  • Dark-count rate (DCR)

  • Breakdown voltage

  • Operating overvoltage

  • MPPC gain

  • Pulse amplitude and pulse shape

  • Signal-to-noise ratio

  • Photon-detection efficiency and stability

  • Recovery behavior following irradiation


Why 1 MeV Neutrons Are Important


Fast-neutron testing is commonly used to investigate displacement damage in semiconductor devices. A neutron with energy around 1 MeV can transfer sufficient momentum to silicon atoms to produce lattice defects and defect clusters. For MPPC devices with many Geiger-mode avalanche microcells, radiation-induced defects can be especially important, as additional carrier-generation sites may trigger unwanted avalanches. One of the most visible consequences is therefore expected to be an increase in the detector's background activity. In simplified terms, the measured dark-count rate can be represented as



For neutron irradiation studies, detector degradation is normally evaluated as a function of the accumulated neutron fluence,



When radiation-damage results obtained with different neutron-energy spectra need to be compared, the exposure can additionally be expressed using a 1 MeV neutron-equivalent fluence in silicon, Φ based on the non-ionizing energy loss or displacement-damage equivalence of the irradiation field.


Expected Radiation Effects


A useful experimental comparison is obtained by recording MPPC characteristics before irradiation and repeating the same measurements after successive neutron exposures. The change in a parameter X can be represented as



Increasing neutron fluence will generally produce additional silicon defects, and a corresponding increase in dark current and dark-count activity is therefore an important quantity to monitor. At sufficiently high radiation levels, the resulting noise can eventually limit the MPPC's ability to resolve weak optical signals or individual photoelectron peaks. Temperature must also be carefully controlled during these measurements because MPPC dark noise is strongly temperature-dependent. Consequently, separating genuine radiation-induced degradation from temperature-related variations is essential for a reliable irradiation campaign.


Toward Radiation-Tolerant Photon Detection


Understanding MPPCs' response to 1 MeV fast neutrons helps determine whether these detectors can maintain acceptable performance in radiation-intensive environments. Experimental characterization also provides information to develop mitigation approaches, including temperature control, optimized operating overvoltage, shielding, calibration procedures, annealing studies, and signal-processing techniques. The 1 MeV Fast Neutron Irradiation MPPC experiment therefore provides a practical platform for studying the relationship between neutron displacement damage and the performance of SiPMs/MPPCs. The resulting measurements can support the design and qualification of more robust photon-detection systems for scientific instrumentation, nuclear and high-energy physics experiments, radiation monitoring, and other applications requiring reliable optical sensing in the presence of neutron exposure.


Application of MPPC/SiPM Technology in ALICE at CERN


The characterization of MPPC devices under 1 MeV fast-neutron irradiation is particularly relevant to detector development for high-energy physics experiments such as ALICE (A Large Ion Collider Experiment) at CERN’s Large Hadron Collider (LHC). ALICE studies strongly interacting matter and the properties of the quark–gluon plasma produced in ultra-relativistic heavy-ion collisions.

For the proposed ALICE 3 detector, planned as a next-generation experiment for LHC Run 5, silicon photomultipliers are being considered for several scintillator-based detector systems.  In particular, the ALICE 3 electromagnetic calorimeter (ECal) design includes scintillator layers whose optical signals are transported through wavelength-shifting fibers to photodetectors. The ALICE 3 scoping documentation identifies the Hamamatsu S14160-3010PS MPPC, with a 3 × 3 mm² sensitive area and 10 µm pixel pitch, as a suitable candidate for sampling cells in the ECal outer barrel and endcap. An R&D program is evaluating SiPM/MPPC devices with the required optical response and dynamic range. MPPC/SiPM technology is also being investigated for the ALICE 3 Muon Identifier (MID). During the 2025 CERN test-beam campaign, one MID prototype used approximately 1 m-long scintillator bars coupled to wavelength-shifting fibers and read out with silicon photomultipliers. This prototype demonstrated the applicability of SiPM-based optical readout to large-area particle-detection systems envisioned for ALICE 3.


1 MeV neutron irradiation testing provides an effective methodology for evaluating MPPC radiation tolerance and supporting the development of robust photon-detection systems for CERN experiments, nuclear instrumentation, space applications, and other environments exposed to significant neutron radiation.

Conclusion


The study of MPPC/SiPM performance under 1 MeV fast-neutron irradiation is important for understanding the long-term reliability of silicon photodetectors operating in radiation-intensive environments. Neutron-induced displacement damage can increase the dark current and dark-count rate, reduce the signal-to-noise ratio, and progressively degrade the detector's stability and sensitivity as the accumulated fluence increases. By comparing parameters such as dark current, DCR, breakdown voltage, gain, pulse amplitude, and signal stability before and after irradiation, it is possible to quantify radiation-induced degradation and identify suitable operating conditions for the detector. These studies are especially relevant to high-energy physics instrumentation, including future detector developments such as ALICE 3 at CERN, where SiPM/MPPC devices are being considered for scintillator-based readout systems. Radiation characterization therefore contributes to the appropriate selection of photodetectors, the optimization of thermal and bias conditions, and the definition of mitigation strategies to maintain reliable detector performance over extended experimental campaigns.



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