A microwave kinetic inductance detector (MKID) is a cutting-edge superconducting detector, and its principle is based on a superconducting resonator circuit. The superconducting transition temperature (Tc) of the MKID is an important parameter because various MKID characterization parameters depend on it. In this paper, we propose a method to measure the Tc of the MKID by changing the applied power of the readout microwaves. A small fraction of the readout power is deposited on the MKID, and the number of quasiparticles in the MKID increases with this power. Furthermore, the quasiparticle lifetime decreases with the number of quasiparticles. Therefore, we can measure the relation between the quasiparticle lifetime and the detector response by rapidly varying the readout power. From this relation, we evaluate the intrinsic quasiparticle lifetime. This lifetime is theoretically modeled by Tc, the physical temperature of the MKID device, and other known parameters. We obtain Tc by comparing the measured lifetime with that acquired using the theoretical model. Using an MKID fabricated with aluminum, we demonstrate this method at a 0.3 K operation. The results are consistent with those obtained by Tc measured by monitoring the transmittance of the readout microwaves with the variation in the device temperature. The method proposed in this paper is applicable to other types, such as a hybrid-type MKID.

A superconducting detector is a sensitive device because its gap energy is much smaller than that of a semiconductor detector. A microwave kinetic inductance detector (MKID)1 is a superconducting microwave resonator. This resonant circuit is fabricated of a thin superconductor film on a silicon or sapphire substrate. The resonant frequency is tuned by the total length of the resonator. Therefore, numerous detectors can be read by multi-frequency tones using the same readout line. This advantage allows the production of a large MKID array, such as one containing 100–1000 detectors per single readout line. This has resulted in the rapid progress of radio and infrared astronomical observations.2–5 

An MKID has a simple detection mechanism. Radiation entering the detector breaks a Cooper pair in the resonator when the radiation energy is larger than twice the gap energy of the superconducting film. A broken Cooper pair yields two additional quasiparticles. The inductance of the MKID circuit varies with the number of quasiparticles, and the resonant condition of this MKID changes with the inductance. We can measure the incident radiation energy using the variation in the resonant phase and amplitude.

The superconducting transition temperature (Tc) of the MKID is an important parameter. This is because various MKID characterization parameters depend on Tc. In this paper, we propose a method to measure the Tc of the MKID by changing the readout power rapidly.

According to the BCS theory,6 the relation between the gap energy (Δ) and Tc is given by the following formula:

(1)

where kB is the Boltzmann constant. A coefficient in this relation is confirmed with 1% precision for aluminum.7 It slightly varies for different materials. Using Δ, the number of quasiparticles (Nqp) under a low-temperature condition (i.e., TTc, where T is the device temperature) is obtained by the following formula:6 

(2)

where N0 is the single-spin density of states at the Fermi level and V is the volume of the resonator. It is known that N0 = 1.74 × 1010 eV−1μm−3 for aluminum,8 and its deviation from the other studies is less than 3%.9,10 The intrinsic quasiparticle lifetime, (τqpi), is obtained by the following formula:11 

(3)

where τ0 is the electron–phonon interaction time (τ0 = 458 ± 10 ns for an aluminum MKID12). The noise equivalent power derived from the generation and recombination of the quasiparticles (NEPgr) is obtained by the following formula:13 

(4)

where ηpb is the pair breaking efficiency14 (ηpb = 0.57 for an aluminum15). Figure 1 presents the parameters of an aluminum MKID as a function of Tc, where we display the plots of the device temperature at ∼0.3 K. They are sensitive to Tc. Various previous studies have used different Tc, with the deviation being ∼10%.12,16,17 Understanding the reason of this difference is a recent research topic, e.g., Fyhrie et al.16 discussed the relation between Tc and film thickness.

FIG. 1.

Parameters characterizing an MKID as a function of the superconducting transition temperature, (a) the number of quasiparticles, (b) intrinsic quasiparticle lifetime, and (c) noise equivalent power. They are simulated considering an aluminum MKID with volume 1000 μm3.

FIG. 1.

Parameters characterizing an MKID as a function of the superconducting transition temperature, (a) the number of quasiparticles, (b) intrinsic quasiparticle lifetime, and (c) noise equivalent power. They are simulated considering an aluminum MKID with volume 1000 μm3.

Close modal

Measuring Tc using four DC probes is a well-established method. However, its setup is different from the MKID readout via microwave lines. It is worthwhile to have methods for measuring Tc using the readout microwaves. Monitoring the transmittance of the readout microwaves with the device temperature variation is a conventional method to measure the Tc of an MKID.18,19 This method is referred to as the “S21 method” in this paper. Note that this method is not applicable for a hybrid-type MKID.20,21

Another method estimates Tc using the power spectrum density (Sx), which is modeled by the following formula:22 

(5)

where subscript x denotes the phase or amplitude response, τqp is the quasiparticle lifetime under the measurement condition, f is the frequency of the detector response, and Xsystem is the noise of the readout system. τres is the resonator ring time given by τres = Qr/πfr (where Qr is the quality factor of the resonance and fr is the resonant frequency). We extract τqp by fitting the power spectrum density with the above formula. Under the assumption of τqpi=τqp, we obtain Tc using Eq. (3). This method requires that Xsystem is lower than the contribution of the first term in Eq. (5). Moreover, another contribution due to a two level system noise23 should be low enough in the case of the phase response.

We propose the third method to measure Tc, which uses a loss of the readout microwaves in the MKID. The quasiparticle lifetime (τqp) decreases with the increase in the number of additional quasiparticles (Nqp) produced by the readout power loss,22,24–27

(6)

Because the phase response (θ) of the MKID is proportional to the number of additional quasiparticles,28 the above formula is rewritten as

(7)

where αθ = Nqp/Nqp. This suggests that τqpi can be estimated from the relation between τqp and θ.27,28 This relation is easily measured using our previous method to measure the phase responsivity.29 A small fraction of the readout power is deposited in the MKID, and the response of the MKID increases with this power. In this paper, we demonstrate the measurement of this relation for an aluminum MKID. Subsequently, we obtain Tc with Eq. (3) and estimate τqpi.

Figure 2 presents the diagram of the MKID readout. Our cryostat (Niki Glass Co., Ltd.) consists of 4 K and 40 K thermal shields from inside to outside. They are insulated from the room temperature (300 K) in a vacuum chamber and are cooled using a pulse tube refrigerator (PT407RM, Cryomech Co., Ltd.). The 4 K thermal shield also acts as a magnetic shield (A4K, Amuneal Co., Ltd.) for mitigating the effects of geomagnetism. The MKID device is set in a light-tight copper box. The box is cooled in a 3He-sorption refrigerator, and it is maintained at T = 311 mK with an accuracy of 6 mK.

FIG. 2.

Diagram of the readout chain of the MKID. Our system feeds the readout signal at 200 MHz bandwidth, which is up-converted into the microwave range. We use an NI Microwave Components FSL-0010 as a local oscillator (LO). The mixer is a Marki Microwave MLIQ-0218L. The input power into the MKID is controlled by using a variable attenuator. The output microwaves from the MKID are amplified by a low noise amplifier (C-LNA, LNF-LN4_8C, LOWNOISE FACTORY) and a warm amplifier (ZVE-8G+, Mini-Circuits). Subsequently, the down-converted signal is sampled.

FIG. 2.

Diagram of the readout chain of the MKID. Our system feeds the readout signal at 200 MHz bandwidth, which is up-converted into the microwave range. We use an NI Microwave Components FSL-0010 as a local oscillator (LO). The mixer is a Marki Microwave MLIQ-0218L. The input power into the MKID is controlled by using a variable attenuator. The output microwaves from the MKID are amplified by a low noise amplifier (C-LNA, LNF-LN4_8C, LOWNOISE FACTORY) and a warm amplifier (ZVE-8G+, Mini-Circuits). Subsequently, the down-converted signal is sampled.

Close modal

The MKID device is fabricated at RIKEN. This device consists of a quarter-wave coplanar waveguide resonator and a feedline (there is no coupling with any antenna). The width of the center strip and gap of the resonator (the feedline) are 4 μm (12 μm) and 1.5 μm (8 μm), respectively. All the circuits patterns are formed using an aluminum film on a silicon wafer. The volume of the resonator is 2600 μm3 (the width is 4 μm, the length is 6500 μm, and the thickness is 100 nm). Its resonant frequency and quality factor are fr = 4.30 GHz and Qr = 2.61 × 104, respectively. Our readout system30,31 measures the response based on a direct down-conversion logic with a 200 MHz sampling speed, and the data are down-sampled to a 1 MHz step. The power of the readout microwave is controlled by a variable attenuator (LDA-602, Vaunix Co., Ltd.). It requires a few microseconds to change the attenuation value.

We use eight attenuation setups to change the readout power from high power (PH) to low power (PL), as summarized in Table I. The readout power into the feedline is approximately −65 dBm at PL. We use the same treatment for the effects of a cable delay and linearity correction, as described in Ref. 29. Figure 3 shows the phase response as a function of time. We reset the attenuation value at t = 100 µs. We fit the data to Eq. (5) in Ref. 29, and we obtain the phase response (θ) and the quasiparticle lifetime (τqp) for each setup using Eq. (7). We mask the data in the short period, t = 95 µs–105 µs, because of the uncontrolled state of attenuation soon after the reset. We measure 50 samples for each set of power change. Table I summarizes the fitted results for each setup. Figure 4 displays the relation between τqp and θ. We obtain τqpi=31.3±0.2μs from the fit with Eq. (7). Subsequently, we obtain Tc = 1.278 ± 0.001 K using Eq. (3), where we only estimate the statistical error. We estimate the systematic uncertainties for Tc, device temperature (0.025 K), time for changing the attenuation value (0.014 K), and electron–phonon interaction time (0.004 K). We finally obtain Tc = 1.28 ± 0.03 K, including the systematic error.

TABLE I.

Measured results for each setup of the readout power change. Only statistical errors are assigned here.

PHPLdBθradτqpμs
−15.5 → −22.0 1.374 ± 0.007 25.5 ± 0.2 
−16.0 → −22.0 0.972 ± 0.004 26.6 ± 0.1 
−16.5 → −22.0 0.894 ± 0.002 26.7 ± 0.1 
−17.0 → −22.0 0.805 ± 0.003 27.1 ± 0.1 
−17.5 → −22.0 0.728 ± 0.004 27.6 ± 0.1 
−18.0 → −22.0 0.538 ± 0.004 28.4 ± 0.1 
−18.5 → −22.0 0.462 ± 0.005 28.9 ± 0.2 
−19.0 → −22.0 0.391 ± 0.004 29.4 ± 0.2 
PHPLdBθradτqpμs
−15.5 → −22.0 1.374 ± 0.007 25.5 ± 0.2 
−16.0 → −22.0 0.972 ± 0.004 26.6 ± 0.1 
−16.5 → −22.0 0.894 ± 0.002 26.7 ± 0.1 
−17.0 → −22.0 0.805 ± 0.003 27.1 ± 0.1 
−17.5 → −22.0 0.728 ± 0.004 27.6 ± 0.1 
−18.0 → −22.0 0.538 ± 0.004 28.4 ± 0.1 
−18.5 → −22.0 0.462 ± 0.005 28.9 ± 0.2 
−19.0 → −22.0 0.391 ± 0.004 29.4 ± 0.2 
FIG. 3.

Phase responses to the rapid change in the power of the readout signal. The change is introduced at t = 100 µs with a few μs uncertainty. Therefore, we mask the region at t = 95 µs–105 µs in the fitting. The dashed lines are the fitting results.

FIG. 3.

Phase responses to the rapid change in the power of the readout signal. The change is introduced at t = 100 µs with a few μs uncertainty. Therefore, we mask the region at t = 95 µs–105 µs in the fitting. The dashed lines are the fitting results.

Close modal
FIG. 4.

Measured relation between the quasiparticle lifetime (τqp) and the phase response (θ). The black dots show the measurement results. The dashed line represents the fit result. The value at θ = 0 corresponds to the intrinsic quasiparticle lifetime.

FIG. 4.

Measured relation between the quasiparticle lifetime (τqp) and the phase response (θ). The black dots show the measurement results. The dashed line represents the fit result. The value at θ = 0 corresponds to the intrinsic quasiparticle lifetime.

Close modal

For comparison, we also measure Tc by the S21 method. Figure 5 presents the S21 intensity results at 4.35 GHz as a function of the device temperature. We determine Tc as a temperature at the middle of the transition, Tc = 1.27 ± 0.04 K. Here, the error includes the difference from the onset of the superconducting transition and the uncertainty of the thermometer. We confirm the consistency in the results from the two methods.

FIG. 5.

Transmittance of the readout microwaves as a function of the MKID temperature.

FIG. 5.

Transmittance of the readout microwaves as a function of the MKID temperature.

Close modal

In summary, we propose a method to measure the Tc of an MKID device by changing the power of the readout microwaves. In this method, we obtain the intrinsic quasiparticle lifetime using the device temperature. Subsequently, we estimate Tc using them. We demonstrate our method using an aluminum MKID maintained at 311 mK. The results are consistent with those obtained by the conventional method: monitoring the microwave transmittance by changing the device temperature. The method proposed in this paper is applicable to other types, such as a hybrid-type MKID.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

This work was supported by the JRA program in RIKEN and Grants-in-Aid for Scientific Research from The Ministry of Education, Culture, Sports, Science and Technology, Japan (KAKENHI Grant Nos. 19H05499, 15H05743, 16J09435, and R2804). We thank Professor Koji Ishidoshiro for lending us the cryostat used in this paper. We acknowledge Professor Masato Naruse for the MKID design. We acknowledge Mr. Noboru Furukawa for the MKID fabrication. We thank Dr. Shunsuke Honda for useful discussions. O.T. acknowledges support from the Heiwa-Nakajima Foundation, U.S.-Japan Science Technology Cooperation Program, and SPIRITS grant.

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