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Comparison and analysis of methods for measuring the spin transverse relaxation time of rubidium atomic vapor

Lulu Zhang    Ni Zhao    Yongbiao Yang    Junye Zhao State Key Laboratory of Quantum Optics and Quantum Optics Decices, Shanxi University, Institute of Opto-Electronics,Taiyuan 030006, China    Jun He    Junmin Wang Corresponding author: [email protected]; ORCID : 0000-0001-8055-000X State Key Laboratory of Quantum Optics and Quantum Optics Decices, Shanxi University, Institute of Opto-Electronics,Taiyuan 030006, China Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China
Abstract

The spin transverse relaxation time (T2{T_{2}}) of atoms is an important indicator for precision measurement. Several methods have been proposed to characterize the T2{T_{2}} of atoms. In this paper, the T2{T_{2}} of rubidium (Rb) atomic vapor in the same cell was measured using four measuring methods, namely spin noise spectrum signal fitting, improved free induction decay (FID) signal fitting, ωm\omega_{m}-broadening fitting, and magnetic resonance broadening fitting. Meanwhile, the T2{T_{2}} of five different types of Rb atomic vapor cells were measured and characterized. A comparative analysis visualizes the characteristics of the different measuring methods and the effects of buffer gas on T2{T_{2}} of Rb. We theoretically and experimentally analyzed the applicability of the different methods, and then demonstrated that the improved FID signal fitting method provides the most accurate measurement because of the clean environment in which the measurements were taken. Furthermore, we demonstrated and qualitatively analyzed the relationship between the atomic number density and the T2{T_{2}} of Rb. This work provides analytical insight in selecting atomic vapor cells, and may shed light on the improvement of the sensitivity of atomic magnetometers.

preprint: AIP/123-QED

I Introduction

The precise measurement of magnetic fields has very important application potential in basic physics research [1], [2], geophysics [3], clinical medicine [4], and cosmic dark matter measurement [5]. The transverse relaxation time (T2{T_{2}}) of atoms is an important indicator to characterize the performance of magnetic field precision measurements. Especially, in atomic magnetometers [6],[7],[8], the sensitivity improves with T2{T_{2}} of atoms. Because the T2{T_{2}} of atoms contains a large amount of information, it is necessary to accurately measure the T2{T_{2}} of atoms to help select the ideal type of atomic vapor cell.

Currently, the traditional free induction decay(FID) method is a commonly used method for measuring the T2{T_{2}} of atoms. In 2017, Jiang et al [9] proposed the fitting-ratio method and the magnetic resonance broadening method to measure the T2{T_{2}} of atoms, and compared with the traditional FID method to explore the advantages of the new methods. In 2020, the group proposed a perturbation-free method to measure the T2{T_{2}} [10] of atoms in nuclear magnetic resonance oscillator. In 2023, Wei et al [11] measured the T2{T_{2}} of cesium using three methods.

In addition, the spin noise spectrum signal in the spin noise spectroscopy technique also contains a significant information, and is an important method for the measurement of the T2{T_{2}}. In 2007, Katsoprinakis et al [12] analyzed the spin noise spectrum properties of atoms in detail from theoretical and experimental perspectives, revealing the relationship between the spin spectrum and the T2{T_{2}} of atoms.

In this paper, we select spin noise spectrum fitting, improved FID signal fitting, ωm\omega_{m}-broadening fitting and magnetic resonance broadening fitting, which are the four methods for measuring the T2{T_{2}} of atoms. In addition, five types of rubidium (Rb) vapor cells are selected to measure their T2{T_{2}}, to visually observe the merits of various methods and the effects of different types of buffer gases on the T2{T_{2}} of Rb through the comparative analysis of the experimental results.

II Theoretical analysis

The relaxation time of an atom is divided into longitudinal relaxation time (T1{T_{1}}) and transverse relaxation time. Longitudinal relaxation is the relaxation of the atomic state population to a certain equilibrium value, which is related to the spin of the atom, that is, the lifetime of the atomic state. Transverse relaxation is phase-dependent and refers to the decoherence time of phase.

For alkali metal atomic ensembles, under the action of the static magnetic field Bz{B_{z}} along the z-axis, the components of macroscopic magnetization of atoms in thermal equilibrium are:

Mz=M0,Mx=My=0.\begin{split}\textbf{${M_{z}}$}=\textbf{${M_{0}}$},\\ \textbf{${M_{x}}$}=\textbf{${M_{y}}$}=0.\end{split} (1)

Here M0{M_{0}} is a constant value. If a pump light is simultaneously applied along the z-axis to polarize the alkali metal atoms, an oscillating magnetic field with amplitude B1{B_{1}}, frequency Ω\Omega is introduced, whose direction is perpendicular to the static magnetic field Bz{B_{z}}, to deflect the spin polarization of the alkali metal atoms away from the z-axis. Then the pump light and the oscillating magnetic field are withdrawn, the alkali metal atoms are in a non-equilibrium state, and some relaxation mechanism restores it to a thermal equilibrium state. In a rotating coordinate system, the evolution of the macroscopic magnetization of alkali metal atoms can be expressed by the Bloch equation, which is described as follows [13]:

dMx(t)dt=ΔωMy(t)Mx(t)T2,dMy(t)dt=γB1Mz(t)ΔωMx(t)dMy(t)T2,Mz(t)dt=γB1My(t)+M0Mz(t)T1.\begin{split}\frac{d\textbf{$M^{\prime}_{x}$}(t)}{dt}=\Delta\omega\textbf{$M^{\prime}_{y}$}(t)-\frac{\textbf{$M^{\prime}_{x}$}(t)}{\textbf{${T_{2}}$}},\\ \frac{d\textbf{$M^{\prime}_{y}$}(t)}{dt}=\gamma\textbf{${B_{1}}$}\textbf{$M_{z}$}{(t)}-\Delta\omega\textbf{$M^{\prime}_{x}$}(t)-\frac{d\textbf{$M^{\prime}_{y}$}(t)}{\textbf{${T_{2}}$}},\\ \frac{\textbf{$M_{z}$}(t)}{dt}=-\gamma\textbf{${B_{1}}$}\textbf{$M^{\prime}_{y}$}{(t)}+\frac{\textbf{$M_{0}$}-\textbf{$M_{z}$}(t)}{\textbf{${T_{1}}$}}.\end{split} (2)

Here, Δω=ωLΩ{\Delta\omega=\omega_{L}-\Omega} is the mismatch between the Larmor frequency ωL{\omega_{L}} and the oscillating magnetic field frequency Ω{\Omega}, and γ\gamma is the ground-state gyromagnetic ratio. In this process, the macroscopic magnetization of alkali metal atoms is decomposed into a component MzM_{z} (parallel to the static magnetic field) and components MxM_{x}, MyM_{y} (perpendicular to the static magnetic field). The characteristic time from MzM_{z} to M0M_{0} is referred to as the T1{T_{1}}. The characteristic time for MxM_{x} and MyM_{y} to gradually return to 0 is called the T2{T_{2}}, in which the spin precession phase of the alkali metal atoms is redistributed until it is disordered.

II.1 Spin noise spectrum fitting

Spin noise is the random distribution of atomic electron spins in quasi-thermodynamic equilibrium. The spin noise spectrum is an optical technique that can be obtained from nuclear magnetic resonance measurements and magnetic force microscopy measurements; however, the most sensitive and widely used detection technique is Faraday rotation, which maps atomic spin noise on the polarization plane of a non-resonant probe light. Furthermore, we experimentally measured and analyzed the spin noise spectrum of Rb in previous articles [14], [15], and have a certain understanding of its principle and parameter optimization.

Based on the principle of the spin noise spectrum, the spin noise spectrum signal of Voigt configuration correlate with T2{T_{2}}. The light beam is perpendicular to the static magnetic field, the random fluctuation of magnetization process around the direction of the static magnetic field, and this fluctuation on the spectrum manifests as Lorentzian-linear peak. The full width at half maximum (FWHM) of the peak is inversely correlated with the T2{T_{2}} [16],[17]. Moreover, the experimental setup used in our apparatus employed this method to measure the T2{T_{2}}.

II.2 Improved FID signal fitting

In this method, an all-optical Bell-Bloom magnetometer [18] modulated with pump light and a magnetometer driven by radio frequency (RF) magnetic field [19] are the two commonly used experiment setups. In Bell-Bloom magnetometer, the direction of the static magnetic field is perpendicular to the pump light, which is modulated in frequency or amplitude. In RF magnetometer, the direction of the pump light is parallel to the static magnetic field, and an oscillating magnetic field with the Larmor frequency is used for π\pi/2 pulse times. These two approaches cause the macroscopic magnetization of the atomic ensemble in a plane perpendicular to the static magnetic field, and the precession is exponentially attenuated around the static magnetic field at the Larmor frequency. This Lamor precession is mapped to the rotation of the probe light polarization plane, and the FID signal is subsequently detected with a differential detector. The T2{T_{2}} of atoms can be obtained [20], [21] simply by fitting the envelope of the FID signal:

SFID=AFIDexp(t/T2)\begin{split}\textbf{${S_{FID}}$}=\textbf{${A_{FID}}$}exp(-t/\textbf{${T_{2}}$})\end{split} (3)

Here, we improve and optimize the traditional method of obtaining the FID signal based on the RF magnetometer, that is, the action time of pump light, probe light, and RF magnetic field in the time domain are controlled by timing sequence, to avoid the signal being affected by the pump light and the additional magnetic field during the detection [22].

II.3 ωm\omega_{m}-broadening fitting

In this method, a modulated magnetic field with frequency ωm\omega_{m} is applied in the direction of the static magnetic field Bz{B_{z}}. If there are magnetic fields Bx{B_{x}} and By{B_{y}} considerable smaller than static magnetic field Bz{B_{z}} exists in the x and y directions, the expression of the in-phase and quadrature phase signals after lock-in amplifier(LIA) demodulation is [9]:

SISByBx(γBz+nωm)T21+T22(γBz+nωm)2,SQSBxBy(γBz+nωm)T21+T22(γBz+nωm)2.\begin{split}\textbf{${S_{IS}}$}\propto\frac{\textbf{${B_{y}}$}-\textbf{${B_{x}}$}(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$})\textbf{${T_{2}}$}}{1+\textbf{${T_{2}}$}^{2}\left(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$}\right)^{2}},\\ \textbf{${S_{QS}}$}\propto\frac{\textbf{${B_{x}}$}-\textbf{${B_{y}}$}(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$})\textbf{${T_{2}}$}}{1+\textbf{${T_{2}}$}^{2}\left(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$}\right)^{2}}.\end{split} (4)

where n is the ratio of the Larmor frequency ωL\omega_{L} to the modulation frequency ωm\omega_{m}, i.e., n= ω0\omega_{0} / ωm\omega_{m}. When Bx0{B_{x}\neq 0}, By=0{B_{y}=0}, the above equation can be written as:

SISBx(γBz+nωm)T21+T22(γBz+nωm)2,SQSBx1+T22(γBz+nωm)2.\begin{split}\textbf{${S_{IS}}$}\propto\frac{\textbf{${B_{x}}$}(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$})\textbf{${T_{2}}$}}{1+\textbf{${T_{2}}$}^{2}\left(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$}\right)^{2}},\\ \textbf{${S_{QS}}$}\propto\frac{\textbf{${B_{x}}$}}{1+\textbf{${T_{2}}$}^{2}\left(\gamma\textbf{${B_{z}}$}+n\textbf{$\omega_{m}$}\right)^{2}}.\end{split} (5)

Similarly, we can find the in-phase and quadrature phase signals of the LIA demodulation in case Bx=0{B_{x}=0}, By0{B_{y}\neq 0}. From the above equation, the relationship between the FWHM (Γ\Gamma) and the T2{T_{2}} can be obtained: ΓQS\Gamma_{QS} = ΓIS\Gamma_{IS} = 2/ (nT2{T_{2}}).

II.4 magnetic resonance broadening fitting

In this method, an RF magnetic field with magnitude B1{B_{1}}, frequency Ω\Omega is applied perpendicular to the direction of the static magnetic field. In a rotating coordinate system, the steady-state solution of the magnetization MM is [23]:

Mx=M0γB1Δω(1/T2)2+(Δω)2+(T1/T2)(γB1)2,My=M0γB1(1/T2)(1/T2)2+(Δω)2+(T1/T2)(γB1)2,Mz=M0[(Δω)2+(1/T2)2](1/T2)2+(Δω)2+(T1/T2)(γB1)2.\begin{split}\textbf{$M_{x}$}=\frac{\textbf{$M_{0}$}\gamma\textbf{$B_{1}$}\Delta\omega}{(1/\textbf{${T_{2}}$})^{2}+(\Delta\omega)^{2}+(\textbf{${T_{1}}$}/\textbf{${T_{2}}$})(\gamma\textbf{${B_{1}}$})^{2}},\\ \textbf{$M_{y}$}=\frac{\textbf{$M_{0}$}\gamma\textbf{$B_{1}$}(\textbf{${1/T_{2}}$})}{(1/\textbf{${T_{2}}$})^{2}+(\Delta\omega)^{2}+(\textbf{${T_{1}}$}/\textbf{${T_{2}}$})(\gamma\textbf{${B_{1}}$})^{2}},\\ \textbf{$M_{z}$}=\frac{\textbf{$M_{0}$}[(\Delta\omega)^{2}+(1/\textbf{${T_{2}}$})^{2}]}{(1/\textbf{${T_{2}}$})^{2}+(\Delta\omega)^{2}+(\textbf{${T_{1}}$}/\textbf{${T_{2}}$})(\gamma\textbf{${B_{1}}$})^{2}}.\end{split} (6)

Scanning the static magnetic field B0{B_{0}}, the relationship between the FWHM and the B1{B_{1}} after LIA demodulation is [9] :

Γ=2(1/T2)2+T1/T2)(γB1)2\begin{split}\textbf{$\Gamma$}=2\sqrt{(1/\textbf{${T_{2}}$})^{2}+\textbf{${T_{1}}$}/\textbf{${T_{2}}$})(\gamma\textbf{${B_{1}}$})^{2}}\end{split} (7)

And Γ=2/T2\Gamma=2/T_{2} when the RF magnetic field strength is sufficiently small to be negligible.

III Experimental setup

The experimental setup is shown in Fig. 1, in which a cubic purified Rb87\rm{{}^{87}Rb} atomic vapor cell, contains 100 Torr N2N_{2}, with a length of 15 mm was used for the experiment. The AC-driven non-magnetic heating films and Servo loop act as a heating system to control the temperature of the atomic vapor cell at 75 °C. The cell is housed within four layers of μ\mu-metal magnetic shielding to shield the ambient magnetic field. The three-axis Helmholtz coil is placed inside to generate the magnetic field, where the direction of the static magnetic field B0B_{0} is along the z-axis, and the static magnetic field B0B_{0} is 6.32 μ\muT.

The magnetometer configuration is shown in Fig. 1(a). The pump light from the 795 nm external cavity semiconductor laser (ECDL) passes through the acousto-optic modulator(AOM), beam expander, Glen-Taylor prism, and quarter-wave plate into a circularly polarized pumped light with a beam diameter of \sim 10 mm, and then enters the rubidium atomic vapor cell along the z-axis. In the experiment, depending on the type of atomic vapor cell, the frequency of the pump light is locked at Rb87\rm{{}^{87}Rb} D1 line F=2-F’=1 transition line. The pump light intensity entering the cell is 12.74 mW/cm2mW/cm^{2}. The probe light from the 780 nm distributed Bragg reflective (DBR) laser also passes through the AOM and the polarizer to become linearly polarized light with a beam diameter of \sim 2 mm. The frequency of the probe light is blue detuned 18 GHz from Rb87\rm{{}^{87}Rb} D2 line F=2-F’=2 transition line, and the light intensity entering the cell is 3.18 mW/cm2mW/cm^{2}. After traversing the cell along the x-axis, the probe light enters a balanced polarimeter where the optical signal is converted into an electrical signal and fed into the LIA.

For the spin noise spectrum configuration, as shown in Fig. 1(b), the direction of the static magnetic field is along the z-axis. Only a 780 nm linearly polarized probe light is used to traverse the vapor cell along the x-axis. The rotation of the probe light polarization is received by the balanced polarimeter, subsequently into the fast Fourier transform (FFT) to convert the time-domain signal into a frequency-domain signal.

Refer to caption

Figure 1: (a) Rubidium atomic magnetometer scheme. (b) Spin noise spectrum scheme. AOM: acoustic-optical modulator; BE: beam expander; λ\lambda/4: quarter-wave plate; λ\lambda/2: half-wave plate; G-T: Glen Taylor Prism; L: lens P: Polarizer; W: Wollaston prism; DPD: Differential photodetector; LIA: Lock-in Amplifier; FFT: Fast Fourier Transform.

IV Results and analysis

IV.1 Typical four measuring methods results and analysis

In the spin noise spectrum fitting method, the static magnetic field B0B_{0} is 6.32 μ\muT, and the probe power is 3.18 mW/cm2mW/cm^{2}. After optimizing the parameters, the typical spin noise spectrum signal after FFT is shown in Fig. 2. We set the average sample number to 1000 times, optimized the parameters, and obtained a full width at half maximum(FWHM) of 1.5 kHz by Lorentz fitting.

Refer to caption

Figure 2: Spin noise spectrum signal. The red curve is the Lorentz fitting, with a typical FWHM of 1.50 kHz. Other parameters: the frequency of the probe beam power is blue detuning 10 GHz from Rb87\rm{{}^{87}Rb} D2 line F=2-F’=2 transition line. The spin noise spectrum is averaged 1000 times and B0B_{0} is 6.32 μ\muT.

In the improved FID signal fitting method, we design a timing sequence control system, as shown in the inset of Fig. 3, to separate the pump light, RF magnetic field, and probe light from the time domain, as well as to avoid the influence of crosstalk between the three on the free-induced decay signal[24]. Here, we set the typical timing sequence as 10 ms for the pump light time, 3 mA for the current to apply the RF magnetic field strength, the corresponding π\pi/2 pulse time of 0.2 ms, and the detection time of 29.8 ms. The typical experimental result is shown in Fig. 3, and the T2T_{2} of Rb is 3.7 ms by fitting Eq.(3).

Refer to caption

Figure 3: The improved FID signal. The red dotted line is the exponential fitting. Interset: timing sequence control system (top) and several FID precession cycles (bottom).

In ωm\omega_{m} - Broadening fitting method, We set the frequency ωm\omega_{m} of the modulation field to half the Lamor frequency ωL\omega_{L} , i.e. n=2, and sweep the frequency near the modulated frequency. Set BxB_{x} = 0.41 μ\muT, ByB_{y} = 0 μ\muT or BxB_{x} = 0 μ\muT, ByB_{y} = 0.41 μ\muT. The typical in-phase and quadrature signals obtained by LIA are shown in Fig. 4, where ωm\omega_{m} is also the reference frequency of LIA, the extracted T2T_{2} of Rb is 3.9 ms.

Refer to caption

Figure 4: (a) The demodulated in-phase and quadrature signals when BxB_{x} = 0.41 μ\muT, ByB_{y} = 0 μ\muT. (b) The demodulated in-phase and quadrature signals when BxB_{x} = 0 μ\muT, ByB_{y} = 0.41 μ\muT.

In magnetic resonance broadening fitting experiments, we apply an RF magnetic field with a frequency equal to the Lamor frequency on the y-axis, and the reference signal frequency demodulated by the LIA is set to the Lamor frequency. By scanning the static magnetic field applied on the z-axis, the in-phase and quadrature signals are shown in Figure 5(a). The FWHM is obtained by Lorentz fitting of the demodulated signal. With the change of RF magnetic field strength, the variation of FWHM with RF magnetic field strength is shown in Fig. 5(b). According to Eq. (6), the T2T_{2} of Rb is 3.0 ms

IV.2 Comparison and analysis of different types of rubidium vapor cells

Furthermore, we selected five types of Rb atomic vapor cells, the parameters of which are shown in Table 1, and used the above four methods to measure the T2T_{2} of different Rb atomic vapor cells. Typical results are shown in Fig. 6(a). The figure shows that the 20 mm×\times20 mm×\times20 mm purified Rb87\rm{{}^{87}Rb} atomic vapor cell filled with 100 Torr N2N_{2} have the best suppression of atomic spin decoherence.

Refer to caption

Figure 5: (a) The in-phase and quadrature signals while B1B_{1} = 69 nT. (b) Dependence between FWHM and RF magnetic field strength.

It is evident from Fig. 6 (a) that the T2T_{2} obtained by the spin noise spectrum method is significantly smaller than that of the other three methods. We compare the FWHM obtained by FFT of the improved FID signal fitting method with the FWHM of the spin noise spectrum fitting method, as shown in Fig. 6(b). The FWHM of the spin noise spectrum fitting method is significantly wider than the FWHM of the improved FID signal after FFT. The main reasons are as follows. Firstly, the spin noise spectrum measures atomic spins’ fluctuations under unpolarization, which yields a relatively small signal amplitude and a poor signal-to-noise ratio. Simultaneously, the power broadening and the inhomogeneity of the probe light in the Rb cell can have a negative effect. Secondly, due to the influence of the transit time broadening and the measurement time. The longer the measurement time, the more times the atoms cross the probe beam, and the wider the line broadening caused by the crossing time. Furthermore, the inhomogeneity of the static magnetic field also affects the FWHM, further influencing the T2T_{2} of Rb.

Table 1: Specification parameters of the five rubidium atomic vapor cells
Cell number Cell size (mm) Gas filled into cell
NO.1 15×\times15×\times15 Rb87\rm{{}^{87}Rb}+100 Torr N2N_{2}
NO.2 20×\times20×\times20 Rb87\rm{{}^{87}Rb}+Rb85\rm{{}^{85}Rb}+100 Torr N2N_{2}+20 Torr He
NO.3 20×\times20×\times20 Rb87\rm{{}^{87}Rb}+100 Torr N2N_{2}
NO.4 20×\times20×\times20 Rb87\rm{{}^{87}Rb}+Rb85\rm{{}^{85}Rb}+100 Torr N2N_{2}
NO.5 20×\times20×\times20 Rb87\rm{{}^{87}Rb}+Rb85\rm{{}^{85}Rb}+600 Torr N2N_{2}+50 Torr He

In addition to the spin noise spectrum method, the other three methods have differences in measurement results owing to the different magnetic fields at the time of measurement; however, the three methods can be used for different types of magnetometers. Because only a static magnetic field exists in the measurement process and the time-sequence control system avoids the negative effect of pump light in the measurement, the whole measurement process has more cleaner environmentally, and relatively accurate T2T_{2} of Rb are obtained from the improved FID signal fitting method.

Refer to caption

Figure 6: (a) The T2T_{2} of Rb measured by improved FID signal fitting, ωm\omega_{m} - broadening fitting, magnetic resonance broadening fitting, and Spin noise spectrum fitting in different Rb vapor cells. The temperature of Rb vapor is controlled at 75°C. (b) The FWHM of improved FID signal fitting and Spin noise spectrum fitting in different Rb vapor cells.

Based on the improved FID signal fitting method, we experimentally measured the dependence between different temperatures and the T2T_{2} of Rb in cell number NO.1, and typical results are shown in Fig. 7. The T2T_{2} of Rb is positively related with the atomic number density at low temperatures. However, we filled N2N_{2} as a buffer gas and a fluorescence quenching gas to suppress the effect of collisional relaxation(spin-destructive collision and spin-exchange collision) on T2T_{2} of Rb. The T2T_{2} of Rb gradually decreases with further increasing temperature due to the incompletely eliminated relaxation mechanism, especially the dominant mechanism of spin-exchange collisional relaxation[23].

Refer to caption

Figure 7: The T2T_{2} of rubidium atomic vapor, measured by improved FID signal fitting, varies with the temperature of the rubidium vapor cell. Cell parameters:15 mm×\times15 mm×\times15 mm, Rb87\rm{{}^{87}Rb}+100 Torr N2N_{2}

V Conclusions

In this paper, four methods were employed to measure the T2T_{2} of Rb based on the Rb atomic vapor cell filled with different types and pressures buffer gas. We demonstrate the dependence between different atomic number densities and the T2T_{2} of Rb. The effect of the relaxation mechanism on the T2T_{2} of Rb was suppressed by filling with buffer gas. Spin-exchange collisions can be further suppressed by optical narrowing effects[24],[25],[26] or by heating the cell to extremely high temperatures to keep atoms in the spin-exchange relaxation-free state[27],[28].

Among these four methods, the T2T_{2} of Rb obtained by the spin noise spectrum fitting method is less than the actual value owing to the limitation of the measurement technology, and a high-resolution spin noise spectrometer is required for experimental acquisition. However, this method provides a roundabout method for comparing the T2T_{2} in different types of atomic vapor cells. The experimental setup for the magnetic resonance broadening fitting method is relatively simple. It is easier to implement experimentally, and even the T2T_{2} of atoms can be measured only by measuring the pump light [9]. The ωm\omega_{m} - broadening fitting method allows real-time monitoring of the drift of the static magnetic field, which can be compensated by a servo-loop system. Although the experimental setup for the improved FID signal fitting method is relatively complex, it ensures that the negative effects of the RF magnetic field and pump light are not introduced during the measurement by applying a timing sequence control system. In addition, the T2T_{2} of atoms measured by this method is relatively accurate.

These four methods can be used in different measuring environments. The T2T_{2} of atoms obtained by different measuring methods are slightly different, mainly because the magnetic field environment is different during the measurement. However, all of them intuitively show the relationship between the buffer gases of different pressures and the T2T_{2}. This provides a variety of feasible methods for future precision measurement fields, such as the improvement of the sensitivity of atomic magnetometers and the selection of atomic vapor cells. Meanwhile, by comparing the T2T_{2} of Rb obtained by five different types of Rb atomic vapor cells under the same conditions, we can obtain an optimal type of atomic vapor cell. This study has important application reference value in the fields of the fabrication of atomic vapor cells, and the Selection of buffer gas types and pressures.

Funding

This work was supported by the National Key R & D Program of China (Grant No. 2021YFA1402002), the National Natural Science Foundation of China (Grant Nos. 11974226), the Shanxi Provincial Graduate Education Innovation Project (Grant No.2022Y022) and the 1331 Key Subjects Construction of Shanxi Province, China.

Conflict of Interest

The authors have no conflicts to disclose.

References

References

  • (1) S.-K. Lee, K. L. Sauer, S. J. Seltzer, O. Alem, M. V. Romalis, “Subfemtotesla radio-frequency atomic magnetometer for detection of nuclear quadrupole resonance,” Appl. Phys. Lett., vol. 89, no. 21, Nov. 2006, Art. no. 214106.
  • (2) J. M. Brown, S. J. Smullin, T. W. Kornack, M. V. Romalis, “New limit on Lorentz- and CPT-violating neutron spin interactions,” Phys. Rev. Lett., vol. 105, no. 15, Oct. 2010, Art. no. 151604.
  • (3) M. N. Nabighian, V. J. S. Grauch, R. O. Hansen, T. R. LaFehr, Y. Li, J. W. Peirce, J. D. Phillips, M. E. Ruder, “The historical development of the magnetic method in exploration,” Geophysics, vol. 70, no. 6, pp. 33ND–61ND, Dec. 2005.
  • (4) R. Zhang, W. Xiao, Y. Ding, Y. Feng, X. Peng, L. Shen, C. Sun, T. Wu, Y. Yang, Z. Zheng, X. Zhang, J. Chen, H. Guo, “Recording brain activities in unshielded Earth’s field with optically pumped atomic magnetometers,” Adv. Sci., vol. 6, no. 24, Jun. 2020, Art. no. eaba8792.
  • (5) M. Jiang, H. Su, A. Garcon, X. Peng, D. Budker, “Search for axion-like dark matter with spin-based amplifiers,” Nat. Phys., vol. 17, no. 12, pp. 1402–1407, Dec. 2021.
  • (6) H. Crepaz, L. Y. Ley, R. Dumke, “Cavity enhanced atomic magnetometry,” Sci. Rep., vol. 5, no. 1, Oct. 2015, Art. no. 15448.
  • (7) Q. Guo, T. Hu, C. Chen, X. Feng, Z. Wu, Y. Zhang, M. Zhang, Y. Chang, X. Yang, “A High Sensitivity Closed-Loop Spin-Exchange Relaxation-Free Atomic Magnetometer With Broad Bandwidth,” IEEE Sensors Journal, vol. 21, no. 19, pp. 21425–21431, Oct. 2021.
  • (8) X. Liu, Y. Li, X. Wu, R. Zhang, M. Chang, X. Zhang, “Reflected Atomic Magnetometer With Single Beam,” IEEE Sensors Journal, vol. 22, no. 2, pp. 1238–1244, Jan. 2022.
  • (9) P. Jiang, Z. Wang, H. Luo, “Techniques for measuring transverse relaxation time of xenon atoms in nuclear-magnetic-resonance gyroscopes and pump-light influence mechanism,” Optik, vol. 138, pp. 341–348, Jun. 2017.
  • (10) C. Chen, Q. Jiang, Z. Wang, Y. Zhang, H. Luo, K. Yang, “A non-interference method for measurement of transverse relaxation time of the alkali metal magnetometer in nuclear magnetic resonance oscillator,” AIP Adv., vol. 10, no. 6, Jun. 2020, Art. no. 065303.
  • (11) M. Wei, W. Yu, M. Zhou, W. Huang, Y. Liu, X. Xu, “Three techniques for measuring the transverse relaxation time of cesium atoms,” AIP Adv., vol. 13, no. 3, Mar. 2023, Art. no. 035327.
  • (12) G. E. Katsoprinakis, A. T. Dellis, I. K. Kominis, “Measurement of transverse spin-relaxation rates in a rubidium vapor by use of spin-noise spectroscopy,” Phys. Rev. Appl., vol. 75, no. 4, Apr. 2007, Art. no. 042502.
  • (13) F. Bloch, “Nuclear Induction,” Phys. Rev., vol. 70, no. 7, pp. 460–474, Oct. 1946.
  • (14) Y. Yang, L. Bai, L. Zhang, J. He, X. Wen, J. Wang, “Experimental investigation of spin noise spectroscopy of rubidium atomic ensemble,” Acta Phys. Sin., vol. 69, no. 23, Dec. 2022, Art. no. 233201.
  • (15) L. Bai, L. Zhang, Y. Yang, R. Chang, Y. Qin, J. He, X. Wen, J. Wang, “Enhancement of spin noise spectroscopy of rubidium atomic ensemble by using the polarization squeezed light,” Opt. Express, vol. 30, no. 2, pp. 1925–1936, Jan. 1946.
  • (16) V. S. Zapasskii, “Spin-noise spectroscopy: from proof of principle to applications,” Adv. Opt. Photonics, vol. 5, no. 2, pp. 131–168, Jun. 2013.
  • (17) J. Hübner, F. Berski, R.Dahbashi, M. Oestreich, “The rise of spin noise spectroscopy in semiconductors: From acoustic to GHz frequencies,” Phys. Status Solidi B vol. 251, no. 9, pp. 1824–1838, Sep. 2014.
  • (18) D. Hunter, S. Piccolomo, J. D. Pritchard, N. L. Brockie, T. E. Dyer, E. Riis, “Free-Induction-Decay Magnetometer Based on a Microfabricated Cs Vapor Cell,” Phys. Rev. Appl., vol. 10, no. 1, Jul. 2018, Art. no. 014002.
  • (19) S. Li, J. Liu, M. Jin, K. T. Akiti, P. Dai, Z. Xu, Eric-Theophilus Nwodom T., “A kilohertz bandwidth and sensitive scalar atomic magnetometer using an optical multipass cell,” Measurement, vol. 190, Feb. 2022, Art. no. 110704.
  • (20) H. Dong, H. Liu, J. Ge, Z. Yuan, Z. Zhao, “A High-Precision Frequency Measurement Algorithm for FID Signal of Proton Magnetometer,” IEEE Trans. Instrum. Meas. vol. 65, no. 4, pp. 898–904, Apr. 2016.
  • (21) H. Li, Mi. Jiang, Z. Zhu, W. Xu, M. Xu, X. Peng, “Calibration of magnetic field measurement capability of rubidium-xenon vapor cell atomic magnetometer,” Acta Phys. Sin., vol. 68, no. 16, Aug. 2019, Art. no. 160701.
  • (22) L. Zhang, Y. Yang, N. Zhao, J. He, J. Wang, “A Multi-Pass Optically Pumped Rubidium Atomic Magnetometer with Free Induction Decay,” Sensors, vol. 22, no. 19, Oct. 2022, Art. no. 7598.
  • (23) D. Budker, D. Jackson Kimball, “Optical Magnetometry,” in Atomic physics, molecular physics and chemical physics, Cambridge: Cambridge University Press, 2013, pp. 60–63.
  • (24) W. Zheng, X. Bi, G. Zhang, S. Su, J. Li, Q. Lin, “Experimental Demonstration of Light Narrowing Effect Based on Free Atomic Spin Precession,” Chin. J. Lasers, vol. 47, no. 3, Mar. 2020, Art. no. 0304001.
  • (25) S. Appelt, A. Ben-Amar Baranga, A. R. Young, W. Happer, “Light narrowing of rubidium magnetic-resonance lines in high-pressure optical-pumping cells,” Phys. Rev. A, vol. 59, no. 3, Mar. 1999, pp. 2078–2084.
  • (26) Y.-Y. Jau, A. B. Post, N. N. Kuzma, A. M. Braun, M.V. Romalis, W. Happer, “Intense, Narrow Atomic-Clock Resonances,” Phys. Rev. Lett., vol. 92, no. 11, Mar. 2004, Mar. no. 110801.
  • (27) J. Li, W. Quan, B. Zhou, Z. Wang, W. Lu, Z. Hu, G. Liu, J. Fang, “SERF Atomic Magnetometer–Recent Advances and Applications: A Review,” IEEE Sensors Journal, vol. 18, no. 20, Oct. 2018, pp. 8198-8207.
  • (28) I.K.Kominis, T.W.Kornack, J.C.Allred, M.V.Romails, “A subfemtotesla multichannel atomic magnetometer,” Nature, vol. 422, Apr. 2003, pp. 596-599.