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Hot Brownian motion of optically levitated nanodiamonds

François Rivière    Timothée de Guillebon    Damien Raynal    Martin Schmidt    Jean-Sébastien Lauret    Jean-François Roch    Loïc Rondin [ [email protected]
Abstract

The Brownian motion of a particle hotter than its environment is an iconic out-of-equilibrium system. Its study provides valuable insights into nanoscale thermal effects. Notably, it supplies an excellent diagnosis of thermal effects in optically levitated particles, a promising platform for force sensing and quantum physics tests. Thus, understanding the relevant parameters in this effect is critical. In this context, we test the role of particle’s shape and material, using optically levitated nanodiamonds hosting NV centers to measure the particles’ internal temperature and center-of-mass dynamics. We present a model to assess the nanodiamond internal temperature from its dynamics, adaptable to other particles. We also demonstrate that other mechanisms affect the nanodiamond dynamics and its stability in the trap. Finally, our work, by showing levitating nanodiamonds as an excellent tool for studying nano-thermal effects, opens prospects for increasing the trapping stability of optically levitated particles.

Paris Saclay University] Université Paris-Saclay, ENS Paris-Saclay, CNRS, CentraleSupélec, LuMIn, 91190 Gif-sur-Yvette, France

Refer to caption
Figure 1: (a) Scheme of the experimental setup. A nanodiamond is trapped by a 1.55 μ\mum laser (red) focused through a NA=0.85 objective, linearly polarized along the yy-axis. Its 3D motion is measured using a set of 3 split detectors (split detection). The NV centers hosted in the levitating diamond are excited by a λ=532\lambda=532 nm laser (green). The photoluminescence (PL) is collected by an avalanche photodiode (APD). The electron spin resonance spectrum of the NV centers is obtained thanks to a microwave field generated by a copper antenna placed around the levitating particle. (b) Typical power spectral densities (PSD) along the three axes q=x,y,zq={x,y,z} for a levitated nanodiamond at pgas=45p_{\mathrm{gas}}=45 hPa. (c) Center-of-mass energy of a levitated nanodiamond as a function of the trapping laser power, for four different pressures. Error bars correspond to one standard deviation obtained from ten iterations of the experiment. Dotted lines are linear fits.

Introduction

Providing efficient isolation from the environment, optical levitation in vacuum has proven to be an excellent system for investigations of quantum physics at the mesoscale 1, 2, 3, for the tests of fundamental physical laws and weak forces sensing 4, and a unique testbed for stochastic thermodynamics 5. These exciting developments lie in the ability to control the particle’s dynamics finely. Thus, understanding the parameters affecting this dynamics is of prime interest. Specifically, it is known that the particle’s internal temperature may affect its dynamics, an effect known as hot Brownian motion 6, 7 and recently studied for levitated silica nanospheres 8, 9. Nevertheless, this effect is expected to depend on the particles’ shape and material 7, 10. Quantifying these effects is of fundamental interest for describing thermal effects at the nanoscale and for the development of nanothermometry techniques 8, 11, 12.

To study the effect of nanodiamonds’ internal temperature on their dynamics, we use optically levitated nanodiamonds doped with NV centers. Nanodiamonds are particles with disparate shapes 13, 14 that generally present important internal heating induced by laser absorption in levitation experiments 13, 15, an effect particularly significant for optical levitation due to the required high power trapping laser. NV centers are point defects of the diamond matrix, with unique spin and optical properties that can act as efficient temperature sensors 16. In the present paper, we first study the dynamics of optically trapped nanodiamonds in moderate vacuum (> 10 hPa) and assess the energy EcomE_{\text{com}} associated with their center-of-mass motion. Then, we use NV centers thermometry to evaluate their internal temperature TintT_{\text{int}}. By comparing these two quantities, we describe the coupling between nanodiamonds’ internal temperature and dynamics and discuss how the diamond shape impacts it. These results allow us to assess the accommodation coefficient for nanodiamonds, a quantity challenging to measure at the single-particle level, underlining the power of levitodynamics for material science studies. Also, we introduce a simple method to quantify the internal temperature of a levitated nanodiamond from the measurement of its dynamics, with applications to nanothermometry of non-spherical nanoparticles 11, 12. Finally, we demonstrate that phenomena beyond particles’ internal temperature impact the nanodiamond dynamics, potentially affecting the particle stability in the trap. Since mastering this particle stability is a critical task for developing diamond-based hybrid spin-mechanical levitated systems 17, our study also opens prospects beyond out of equilibrium physics of hot particles.

Refer to caption
Figure 2: (a) Scheme of a simplified NV center electronic structure. Under green laser excitation, NV centers emit bright photoluminescence centered around λPL=700\lambda_{\text{PL}}=700 nm. The ground state of the NV center is a spin-triplet. The spin states |ms=0|m_{s}=0\rangle and |ms=±1|m_{s}=\pm 1\rangle are split by a temperature dependant zero-field splitting D(T)D(T). (b) Electron spin resonance spectra for the nanodiamond studied in figure 1-(c), at a gas pressure pgas=45p_{\mathrm{gas}}=45 hPa. Solid lines correspond to bi-Lorentzian fits of the spectra. Note that a small splitting between the state |ms=±1|m_{s}=\pm 1\rangle is observed due to internal strain, a common feature in nanodiamonds. (c) Internal temperature of the levitated nanodiamond as a function of the infrared laser power, for four different pressures, extracted from ESRs in (b). Error bars correspond to the ESR fit uncertainties. Solid lines correspond to a 2D fit using equation (3), leading to κheat=17.0±0.5\kappa_{\mathrm{heat}}=17.0\pm 0.5 K\cdothPa\cdotmW-1. Shadow areas indicate the uncertainties of the 2D fit.

1 Results and discussion

To study the dynamics of optically levitated nanodiamonds, we use the experimental setup depicted in figure 1-(a). A 100-nm nanodiamond (FND Biotech, brFND-100) is optically trapped inside a vacuum chamber, using a highly focused λ=1.55μ\lambda=1.55\leavevmode\nobreak\ \mum laser (Keopsys). The gas pressure in the chamber pgasp_{\mathrm{gas}} is finely controlled with a manual valve and measured with a capacitance gauge (Pfeiffer vacuum, CMR 361). We measure the nanodiamond dynamics using a standard common path interferometric detection scheme 18. The particle’s forward scattered light is collected using a collimating lens and redirected onto three split detectors to measure the particle motion along the three axes q={x,y,z}q=\{x,y,z\}. Typical power spectral densities (PSD) measured from a levitated nanodiamond are shown in figure 1-(b). Assuming a harmonic motion in the underdamped regime, we fit these PSDs for each axis qq with the function 19:

𝒮qq(f)=Aqπ2fq2γq(f2fq2)2+f2γq2,\mathcal{S}_{qq}(f)=\dfrac{A_{q}}{\pi}\frac{2f_{q}^{2}\gamma_{q}}{(f^{2}-f_{q}^{2})^{2}+f^{2}\gamma_{q}^{2}}\,, (1)

and retrieve the natural frequency of the trap fqf_{q}, the damping rate γq\gamma_{q}, and the integrated power density AqA_{q} of the motion. The energy of the center-of-mass motion EcomE_{\mathrm{com}} is proportional to the integrated power spectral density of the particle motion 19, such that, in the direction qq, Ecomq=𝒞calibqAqE_{\mathrm{com}}^{q}=\mathcal{C}_{\mathrm{calib}}^{q}A_{q}. 𝒞calibq\mathcal{C}_{\mathrm{calib}}^{q} is a calibration factor related to the efficiency of the detection setup. It depends on our experimental configuration, detectors efficiency, and the laser measurement beam power. Here, we account for the latter by renormalizing the power spectral density by the laser power changes (see Supporting Information). Experimentally, the zz-axis motion is at a lower frequency due to the weaker confinement along the optical axis. Thus, for most data sets, the zz-frequency is smaller than the PSD linewidth, making its analysis challenging. Hence, we only address the particle motion along the xx and yy directions in the following. In agreement with previous reports 20, 21, we observe that nanodiamonds are stably trapped down to a few tens of hPa and are generally lost from the trap at a pressure between 1 to 10 hPa.

Usually, one assumes that the particle is at room temperature to determine the calibration factor 𝒞calibq\mathcal{C}_{\mathrm{calib}}^{q} and quantitatively determine the center-of-mass energy. Under this assumption, the center-of-mass energy is the thermal energy E0=kBT0E_{0}=k_{B}T_{0}, where kBk_{B} is the Boltzmann constant and T0=294T_{0}=294 K is the room temperature. In our experiment, since the center-of-mass energy is expected to increase with the laser power, the particle is inherently out-of-equilibrium. While alternative calibration methods have been used 22, we propose here a novel and simple calibration approach to overcome the difficulties imposed by the non-equilibrium situation. We thus record the dynamics of the levitated nanodiamond for increasing laser powers. We then compute and fit the associated PSDs to determine the value of AqA_{q} as a function of the trapping laser power (see Supporting Figure S1). To reduce uncertainties, we average the values of AqA_{q} over ten successive measurements while ramping the laser power. Finally, from a linear extrapolation to vanishing laser powers, where we expect the particle to be at equilibrium with its environment, we determine the calibration factor:

𝒞calibq=E0Aq(Plas=0).\mathcal{C}_{\mathrm{calib}}^{q}=\frac{E_{0}}{A_{q}(P_{\mathrm{las}}=0)}\,. (2)

Note that a benefit from this procedure is that we independently determine the calibration factor at each pressure, overcoming calibration uncertainties related to experimental drifts induced by pressure changes inside the chamber 23.

From this calibration, we can determine the center-of-mass energy of the particle. We observe a rise of the center-of-mass energy with increasing laser power and decreasing gas pressures, as plotted in figure 1-(c). This effect can be attributed to an increase of the nanodiamond internal temperature, which will affect its dynamics, as expected for hot Brownian motion 8. To verify this hypothesis and quantify the link between the observed effect and the nanodiamond internal temperature, we measure this temperature using NV color centers hosted in the diamond matrix 21, 24, 15. The trapped nanodiamonds are heavily doped with thousands of NV color centers. Its electronic structure, displayed in figure 2-(a), provides a bright and stable red photoluminescence (PL) under green laser excitation. In addition, its ground state is a spin-triplet S=1S=1, where the exact splitting D(T)D(T) between the spin sublevels |ms=0|m_{s}=0\rangle and |ms=±1|m_{s}=\pm 1\rangle is temperature-dependent, its dependence being empirically described by a polynomial function 16, 21, 15. Thus, NV centers can be used as sensitive thermometers. The PL being spin-dependent, we can optically detect the electron spin resonance (ESR) of the NV centers and precisely determine the evolution of D(T)D(T) with temperature. Experimentally, we excite the NV centers in the levitated nanodiamond using a green laser (Laser Quantum GEM, λ=532\lambda=532 nm, laser power Pgreen100P_{\mathrm{green}}\lesssim 100 µWPlas100\ll P_{\mathrm{las}}\approx 100 mW) through the trapping objective. The weak excitation power that we use prevents heating of the nanodiamond by the green laser absorption. The related photoluminescence (PL) is collected through the same objective, split from the trapping and the green excitation lasers using two dichroic mirrors, and sent onto an avalanche photodiode (APD) in the single-photon counting regime. A copper wire rolled around the optical trap acts as a microwave antenna (fig. 1-(a)). We record ESR spectra by measuring the PL of the NV centers while sweeping the applied microwave frequency for different trapping laser power. As shown in figure 2-(b), we observe a clear shift of the ESR spectra, highlighting the nanodiamond crystal’s heating. From the empirical law proposed by Toyli et al. 16, we quantitatively assess the internal temperature of the levitated nanodiamond. Given the small size of the nanodiamond and its high thermal conductivity, we assume that its internal temperature is homogeneous and corresponds to the particle surface temperature. In the pressure regime explored here, the internal temperature arises from the competition between absorption of the trapping laser and thermal conduction 21, such that it scales as

Tint=T0+κheatPlaspgas,T_{\mathrm{int}}=T_{0}+\kappa_{\mathrm{heat}}\frac{P_{\mathrm{las}}}{p_{\mathrm{gas}}}\,, (3)

as demonstrated in figure 2-(c). A fit acting on both gas pressure and laser power, allows us to extract the heating rate κheat\kappa_{\mathrm{heat}} and T0T_{0}. In practice, internal strain in the nanodiamonds may shift the value of the zero-field splitting D(T)D(T), leading to a definition of the internal temperature TintT_{\text{int}} within a constant. This effect is corrected by shifting the measured temperatures such that the value of T0T_{0} returned by the fit is equal to the room temperature 21. Data and fits in figure 2-(c) are corrected from this effect and present quantitative values of the diamond internal temperature.

Refer to caption
Figure 3: (a) Hot Brownian motion coupling constant KK along the axes xx (blue) and yy (orange) for the nanodiamond presented in figures 1 and 2. Dotted lines indicate the averaged values of Kx=0.34±0.04K_{x}=0.34\pm 0.04 and Ky=0.28±0.03K_{y}=0.28\pm 0.03. Error bars on the pressure correspond to typical pressure drifts during data acquisition. (b) Hot Brownian motion coupling constant KK along the axes xx (blue) and yy (orange), as a function of the anisotropy factor g=γx/γyg=\gamma_{x}/\gamma_{y}, for a set of nanodiamonds. The black dotted line corresponds to the averaged KK over all particles and axes.

Thus, our experimental setup allows us to simultaneously assess the energy of the nanodiamond center-of-mass and its internal temperature. To quantify the coupling between these two quantities, we introduce the coefficient KK such that

K=ΔEcomkBΔTint,K=\dfrac{\Delta E_{\mathrm{com}}}{k_{B}\Delta T_{\mathrm{int}}}\,, (4)

with ΔEcom\Delta E_{\mathrm{com}} the increase in center-of-mass energy corresponding to an increase in internal temperature ΔTint\Delta T_{\text{int}}. Since we have shown that, under our experimental conditions, both the center-of-mass energy and internal temperature increase linearly with laser power, KK is independent of the laser power. Also, it corresponds to the ratio of slopes of the curves in figures 1-(c) and 2-(c). As an example, figure 3-(a) presents the value of this coupling KK for the nanodiamond used in figures 1-(c) and 2-(c).

It is interesting to note that the value of KK is independent of the gas pressure and relatively similar for the two axes xx and yy. This result can be discussed in light of the two baths formalism introduced by Millen et al. 8 to describe the coupling of the internal temperature of a spherical levitated particle to its center-of-mass motion. In this model, the coupling is mediated by the interaction of the surrounding gas on the hot particle surface. Initially with thermal energy associated with the room temperature T0T_{0}, the impinging gas molecules on the hot particle will see the accommodation of their thermal energy when scattered by the hot particle surface. In return, these emerging heated particles will contribute to the particle Brownian motion, as an ancillary thermal bath of effective emerging temperature Tem>T0T_{\text{em}}>T_{0}. The strength of this effect is quantified through the thermal accommodation coefficient αc=TemT0TintT0\alpha_{c}=\frac{T_{\text{em}}-T_{0}}{T_{\text{int}}-T_{0}}, which describes the average fraction of the surface temperature which is transferred to the gas molecules during a collision with the hot particle. It varies from αc=0\alpha_{c}=0, where all gas molecules are elastically reflected, to αc=1\alpha_{c}=1, where all gas molecules get an increase of their thermal energy to kBTintk_{B}T_{\text{int}} after the collision. As such, it is a convenient coefficient to describe the interaction of the particle with its environment. Nevertheless, it depends on the particle materials and the surrounding gas, and its determination at the single nanoparticles level is generally challenging. In the case of levitated silica spheres in vacuum, Hebestreit et al. presented an approach to estimate the accommodation coefficient of nano-silica, inferring the internal temperature of the levitated particle from the thermal changes of its physical properties and its relaxation dynamics after a controlled heating 9. However, this characterization can not be straightforwardly applied to any particles. In our experiment, knowing the coupling constant KK, we can estimate the accommodation coefficient αc\alpha_{c} from a linearisation of the two bath model, leading to K=ππ+8αc0.28αcK=\frac{\pi}{\pi+8}\alpha_{c}\approx 0.28\alpha_{c} (see Supporting Information). Thus, from the fits in figure 3-(a), we find a nanodiamond accommodation coefficient αcx=1.01±0.12\alpha_{c}^{x}=1.01\pm 0.12 for the xx-axis and αcy=1.21±0.13\alpha_{c}^{y}=1.21\pm 0.13 for the yy-axis. Interestingly, we find values very close to the maximal value of αc=1\alpha_{c}=1, corresponding to the largest coupling possible between the particle Brownian motion and its internal temperature. While we could expect such an excellent thermal accommodation coefficient for bulk diamond, the quality of the diamond surface, i.e., graphitization 14, may drastically reduce the accommodation, an effect we do not observe. Also, we note that accounting for the uncertainties, we observe thermal accommodation coefficients that are slightly above 1 and not isotropic (αcxαcy\alpha_{c}^{x}\neq\alpha_{c}^{y}). We explain this effect because the model is designed for spherical particles. At the same time, the used nanodiamonds, made from bulk diamond milling, are known to present very irregular shapes 13, 14, a parameter that is expected to impact the coupling of the levitated particle to the surrounding gas molecules 25 (see Supporting Information).

To study further the impact of the particle shape on the coupling coefficient KK, we reproduce the previously described procedure on a batch of nanodiamonds. To characterize the shape of these nanodiamonds, we determine, from the PSD fits, the damping rate γ\gamma of the particle along the xx and yy axes. This damping arises from a Stokes drag and is related to the particle effective surface in the particle motion direction 25. While not providing quantitative information about the exact particle shape, the measurement of the ratio g=γx/γyg=\gamma_{x}/\gamma_{y} is a good indicator of the particle anisotropy. As a good example, the libration mode of levitated nanodiamonds has only been observed for particles with gg-ratio away from one 13. Also, note that we only observe g1g\geq 1 due to the orientation of the longer axis of the particle along the polarization direction 13.

We plot in figure 3-(b) the coupling constant KK as a function of the anisotropy gg-factor. We observe slight variations on the measured values of KK and the discrepancy between axes remains smaller than the dispersion among different particles. Accounting for this dispersion, both over the studied particles and axes, we estimate an average value of K¯=0.31±0.04\bar{K}=0.31\pm 0.04. Therefore, for most investigated nanodiamonds, the coupling between internal temperature and center-of-mass dynamics can be relatively well described by the spherical particle formalism with an accommodation coefficient close from αcND=1\alpha_{c}^{\mathrm{ND}}=1. Also, the relatively small dispersion we observe for the value of KK may be used to provide a reasonable estimate of any nanodiamond internal temperature from its dynamics using a Hot Brownian coupling constant K¯=0.31\bar{K}=0.31. This could be particularly helpful to assess the absorption of particles that are not hosting spin-active defects 11.

Refer to caption
Figure 4: (a) Center-of-mass energy as a function of the laser power for a particle with an unexpected behavior along the yy-axis. (b) Associated hot Brownian motion coupling constant KK along the xx-axis (orange) and yy-axis (blue). The black dotted line corresponds to the average KK for the figure 3-(b) nanodiamonds. The red shadow area corresponds to the case K>1K>1 that can not be explained in the model used in this work. Error bars on KxK^{x} are smaller than the size of the symbols.

While this proposed model applies to six over the eight studied particles, we observe an unexpected anisotropic over-heating of the diamond center-of-mass energy for the remaining two. Figure 4-(a) shows the measured energy of the center-of-mass for one of these particles. While estimating the coupling coefficient KK, it appears that it reaches values far above one, along the yy-axis, while keeping an expected value of Kx0.3K^{x}\approx 0.3 along the xx-axis. Also, as shown in figure 4-(b), the value of KK along the yy-axis increases while the gas pressure is reduced, conversely to what we observe for the xx-axis or the particles in figure 3. The measured Ky>1K^{y}>1 is definitive proof that the increase in center-of-mass energy can not be explained only by the diamond internal temperature and is proof that other heating mechanisms exist. The fact that we reproduce each measurement ten times at each pressure rules out a time-dependent change, such as a particle degradation 14 that would modify our measurement over time. In addition, these "over-heated" particles present neither a size, a laser absorption (κheat\kappa_{\mathrm{heat}}), nor an anisotropy ratio gg further away from the particles shown in figure 3-(b) (see Supporting Information). Recently, center-of-mass heating mechanisms have been identified for levitated silica 26 and birefringent 27 micro-particles involving non-conservative interactions. However, in both cases, the particle is coherently driven, leading to a reduction of the PSDs linewidths, an effect we do not observe here. Alternatively, the random shape of the nanodiamonds may also induce non-trivial dynamics. Recent numerical studies have highlighted that optical trapping may become unstable for given random particle shapes, even for particle sizes small compared to the laser wavelength 28. A complete understanding of this effect would require determining the exact particle shape, either by on-demand trapping or using nanofabricated diamond particles of controlled shapes and aspect ratios 29. Besides, it would be beneficial to monitor and control most of the degrees of freedom of the particle dynamics 30 since the complex dynamics potentially arises from the coupling of different degrees of freedom. Finally, beyond the nature of this heating mechanism, which is not driven by the particle’s internal temperature, an important question is to know if this phenomenon exists for all nanodiamonds but with variable strengths. In such a case, reducing the absorption of the nanodiamond, e.g., using ultrapure diamond 11, will not be sufficient to keep levitated nanodiamonds dynamics at equilibrium with its environment, thus eventually limiting its stability in the trap.

Conclusion

Taking advantage of the unique spin features of NV color centers in optically levitated nanodiamonds, we simultaneously measure these nanodiamonds’ internal temperature and center-of-mass energy. We then show that the coupling between these quantities is only weakly affected by the shapes of nanodiamonds and corresponds to a hot Brownian coupling constant K¯=0.31±0.04\bar{K}=0.31\pm 0.04 in our model. Equivalently, it can be well described by the two baths formalism introduced by Millen et al. 8 for spherical particles, with an accommodation coefficient for the nanodiamond surface close to αcND=1\alpha_{c}^{\mathrm{ND}}=1. These results provide a simple way to assess the internal temperature of non-spherical nanodiamonds from the measurement of their Brownian dynamics with moderate errors. They also demonstrate NV doped nanodiamonds as a powerful tool to study thermal effects at the nanoscale. A natural extension of our work would be investigating the accommodation coefficient dependence on the particle size 31 or the hot Brownian motion for other degrees of freedom such as rotation and libration 10, 25.

Besides, we also report a new center-of-mass heating mechanism that is anisotropic and not driven by the internal temperature. We observe this mechanism on only a fourth of the studied particles, and we attribute it to a complex dynamics linked to the nanodiamonds’ random shapes. We highlight that this heating mechanism may contribute to the nanodiamond exit from the optical trap at medium vacuum pressure, along with the particles’ internal heating. Thus, careful understanding and control of the internal temperature and of the center-of-mass and rotational motion of the levitated nanodiamonds are required to reach higher vacuum conditions and unleash the potential of levitated nanodiamonds for quantum spin-mechanics experiments 17.

Acknowledgments

We thank E. Fayen and C. Fournier for their seminal contribution to experimental developments.

Funding Sources

This work is supported by the Investissements d’Avenir of LabEx PALM (ANR-10-LABX-0039-PALM), by the Paris île-de-France Region in the framework of DIM SIRTEQ, and by the ANR OPLA project (ANR-20-CE30-0014).

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Appendix A Supporting Information

A.1 Calibration of the particle displacement

The standard procedure for determining a levitated particle center-of-mass energy is well described by Heberstreit et al. 23.

In brief, we measure the particle dynamics along the qq-axis through an optical signal Vq=ccalibqV_{q}=c_{\text{calib}}q, where ccalibc_{\text{calib}} is a setup-dependent calibration factor.

Assuming that the optical trap is harmonic⋆\star⋆\star\starDue to trap anharmonicities, our procedure underestimates the center-of-mass energy by a few percent 23. We neglect this effect, since the error is lower than our measurement uncertainties., and by analogy with the equipartition theorem, we defined the center-of-mass energy of the particle Ecomq=kBTcomE^{q}_{\text{com}}=k_{B}T_{\text{com}}, where TcomT_{\text{com}} is the effective temperature of the particle center-of-mass motion, such that

12kBTcom=12mΩ2q2=12mΩ2Vq2ccalib2\dfrac{1}{2}k_{B}T_{\text{com}}=\dfrac{1}{2}m\Omega^{2}\langle q^{2}\rangle=\dfrac{1}{2}m\Omega^{2}\dfrac{\langle V_{q}^{2}\rangle}{c_{\text{calib}}^{2}} (S1)

with mm the particle mass, and Ω\Omega the angular frequency of the harmonic trap.

Furthermore, as shown in section 4.1 of reference 19, under the harmonic oscillator approximation, the power spectral density (PSD) SqqS_{qq} of the signal VqV_{q} associated with the particle position writes:

𝒮qq(f)=Aqπ2fq2γq(f2fq2)2+f2γq2,\mathcal{S}_{qq}(f)=\dfrac{A_{q}}{\pi}\frac{2f_{q}^{2}\gamma_{q}}{(f^{2}-f_{q}^{2})^{2}+f^{2}\gamma_{q}^{2}}\,, (S2)

where fq=Ωq2πf_{q}=\frac{\Omega_{q}}{2\pi} is the trap frequency and γ=Γ2π\gamma=\frac{\Gamma}{2\pi} is the reduced damping. Then, one can show that Aq=Vq2=ccalib2q2A_{q}=\langle V_{q}^{2}\rangle=c_{\text{calib}}^{2}\langle q^{2}\rangle, such that

Ecomq=mΩq2Aqccalib2.E^{q}_{\text{com}}=m\Omega_{q}^{2}\dfrac{A_{q}}{c_{\text{calib}}^{2}}\,. (S3)

As discussed in the main text, the values of AqA_{q} and Ωq=2πfq\Omega_{q}=2\pi f_{q} can be obtained from a fit of the experimental PSD by the equation (S2).

To determine the center-of-mass energy, we need to assess the value of ccalibc_{\text{calib}}. In the literature, this is generally done from a reference experiment. However, in the present case, we have to account for the calibration factor dependence on the measurement laser power and changes in the detection sensitivity that may arise with setup drifts associated with gas pressure changes 23. In the following sections, we address these questions.

A.1.1 Impact of the laser power on calibration

Our measurement scheme of the particle motion uses a common path interferometer. We use the same infrared laser for the measurements than for trapping the particle. We note PlasP_{\text{las}} the power of this laser. Thus, the displacement signal VqV_{q} corresponds to the interference between the field scattered by the particle EsE_{s} with the reference field directly transmitted through the chamber ErefE_{\text{ref}}. Since both EsE_{s} and ErefE_{\text{ref}} scale as Plas\sqrt{P_{\text{las}}}, the measurement sensitivity ccalibc_{\text{calib}} is then proportional to PlasP_{\text{las}}.

We note ccalib=c0Plasc_{\text{calib}}=c_{0}P_{\text{las}}, where c0c_{0} is independent of the laser power, and equation (S3) becomes:

Ecomq=mΩq2c02AqPlas2.E^{q}_{\text{com}}=\dfrac{m\Omega_{q}^{2}}{c_{0}^{2}}\dfrac{A_{q}}{P_{\text{las}}^{2}}\,. (S4)

Also, the trap angular frequency scales as the square root of the trapping laser power, Ωq=βqPlas\Omega_{q}=\beta_{q}\sqrt{P_{\text{las}}}, with βq\beta_{q} a constant defined by the physical properties of the trap 18.

Thus, we simplified the expression of the center-of-mass energy as :

Ecomq\displaystyle E^{q}_{\text{com}} =\displaystyle= mc02AqΩq2\displaystyle\dfrac{m}{c_{0}^{2}}\dfrac{A_{q}}{\Omega_{q}^{2}} (S5)
=\displaystyle= mβ4c02Aq4π2fq2\displaystyle\dfrac{m\beta^{4}}{c_{0}^{2}}\dfrac{A_{q}}{4\pi^{2}f_{q}^{2}} (S6)
=\displaystyle= 𝒞calibfq2Aq,\displaystyle\dfrac{\mathcal{C}_{\text{calib}}}{f_{q}^{2}}\cdot A_{q}\,, (S7)

where 𝒞calib=mβ44π2c02\mathcal{C}_{\text{calib}}=\dfrac{m\beta^{4}}{4\pi^{2}c_{0}^{2}} is the detection calibration factor normalized to account for the laser power dependence on the detection sensitivity. Thus, it only accounts for drifts of the detection sensitivity when changing the gas pressure. The dependence of the detection sensitivity on the laser power corresponds to the term 1/fq21/f_{q}^{2}. To easily account for it, we introduce the integrated power spectral density normalized by the change in laser power A~q=Aqfq2\tilde{A}_{q}=\dfrac{A_{q}}{f_{q}^{2}}, which is the quantity actually used in the main text.

A.1.2 Quantitative assessment of the calibration factor

As quickly discussed in the main text, we use the following procedure to determine the particle center-of-mass energy:

  1. 1.

    First, we determine the values of A~q=Aqfq2\tilde{A}_{q}=\dfrac{A_{q}}{f_{q}^{2}} from the fit of PSD of the particle trajectories. Then, we measure ten times A~q\tilde{A}_{q} as a function of the laser power, at each pressure.

  2. 2.

    We fit A~q\tilde{A}_{q} as a function of PlasP_{\text{las}} by a linear function. From the yy-intercept of the fit, we extrapolate A~q(0)\tilde{A}_{q}(0).

  3. 3.

    Assuming that the particle is at thermal equilibrium with its environment for vanishing laser power, we compute the calibration factor 𝒞calib=kBT0A~q(0)\mathcal{C}_{\text{calib}}=\dfrac{k_{B}T_{0}}{\tilde{A}_{q}(0)}. 𝒞calib\mathcal{C}_{\text{calib}} is determined independently at each pressure, avoiding biases induced by setup drifts with pressure changes.

  4. 4.

    Finally, we plot Ecomq=𝒞calibA~qE_{\text{com}}^{q}=\mathcal{C}_{\text{calib}}\cdot\tilde{A}_{q}, as shown in figure S1-(b).

Refer to caption
Figure S1: Quantitative assessment of the calibration factor. (a) Direct measurement of A~q\tilde{A}_{q}. Error bars correspond to the standard deviation measured over ten measurements. (b) EcomE_{\text{com}} computed after calibration of the data in (a). Dotted lines correspond to linear fits.

A.2 Linearisation of the two bath model

Following Millen et al. 8, the center-of-mass temperature of a spherical particle writes:

Tcom=T03/2+π8(T0+αcΔTint)3/2T01/2+π8(T0+αcΔTint)1/2,T_{\text{com}}=\dfrac{T_{0}^{3/2}+\frac{\pi}{8}\left(T_{0}+\alpha_{c}\Delta T_{\text{int}}\right)^{3/2}}{T_{0}^{1/2}+\frac{\pi}{8}\left(T_{0}+\alpha_{c}\Delta T_{\text{int}}\right)^{1/2}}\,, (S8)

where T0T_{0} is the ambient temperature, ΔTint=TintT0\Delta T_{\text{int}}=T_{\text{int}}-T_{0} is the internal temperature increase, and αc\alpha_{c} the accommodation coefficient. One can rewrite it:

TCoM\displaystyle T_{\text{CoM}} =\displaystyle= T01+π8(1+αcΔTintT0)3/21+π8(1+αcΔTintT0)1/2\displaystyle T_{0}\dfrac{1+\frac{\pi}{8}\left(1+\alpha_{c}\frac{\Delta T_{\text{int}}}{T_{0}}\right)^{3/2}}{1+\frac{\pi}{8}\left(1+\alpha_{c}\frac{\Delta T_{\text{int}}}{T_{0}}\right)^{1/2}} (S9)
=\displaystyle= T0(1+ππ+8αcΔTintT0+4π(π+8)2αc2(ΔTintT0)2+o(ΔTintT0)2)\displaystyle T_{0}\left(1+\dfrac{\pi}{\pi+8}\alpha_{c}\dfrac{\Delta T_{\text{int}}}{T_{0}}+\dfrac{4\pi}{(\pi+8)^{2}}\alpha_{c}^{2}\left(\dfrac{\Delta T_{\text{int}}}{T_{0}}\right)^{2}+o\left(\dfrac{\Delta T_{\text{int}}}{T_{0}}\right)^{2}\right) (S10)

for moderate increases of internal temperature such that ΔTintT01\dfrac{\Delta T_{\text{int}}}{T_{0}}\ll 1.

Experimentally, fitting the data with the whole equation or the simple linear approximation returns the same value of the accommodation coefficient within the uncertainties. Thus, we assume that the linear approximation is verified in the main text. In such, a case we have

ΔTcom=ΔECoMkBαcππ+8ΔTint\Delta T_{\text{com}}=\dfrac{\Delta E_{\text{CoM}}}{k_{B}}\approx\alpha_{c}\dfrac{\pi}{\pi+8}\Delta T_{\text{int}} (S11)

and we note K=αcππ+8K=\alpha_{c}\dfrac{\pi}{\pi+8}.

A.3 Particle shape impacts on the hot Brownian constant KK

To illustrate how the shape of the particle affects its hot Brownian motion, we propose to discuss the simple case of cylinder-like particles.

The effect of surface temperature for cylinders has been investigated by Martinetz et al. 25. We note that the definition of the accommodation coefficient αc\alpha_{c} by Martinetz et al. slightly differs from the one used in the main text of this work. Nevertheless, the two definitions are equivalent for αc=1\alpha_{c}=1, which we demonstrate to be the case for nanodiamonds. Thus we assume αc=1\alpha_{c}=1 in the following.

Following the work by Millen et al.8, we split the gas contribution in two independent heat baths of different temperatures. We thus compute the effective center-of-mass temperature TcomT_{\text{com}} for a hot particle of surface temperature TintT_{\text{int}}. Figures S2-(a) and (b) show the resulting center-of-mass temperatures for cylinders of radius R=40R=40 nm and respective lengths l=90l=90 and l=40l=40 nm. From the slope of these curves, we estimate the value of the hot Brownian motion constant K=ΔTcomΔTintK=\dfrac{\Delta T_{\text{com}}}{\Delta T_{\text{int}}}. As an example, figure S2-(c) shows the values of KK for a motion along the two symmetry axes of the cylinders as a function of the anisotropy factor g=ΓΓ//g=\dfrac{\Gamma_{\perp}}{{\Gamma_{//}}}, which is varied by changing ll while keeping R=40R=40 nm.

Refer to caption
Figure S2: Effect of the cylinder shape on the hot Brownian motion. (a) and (b) Center-of-mass temperature TcomT_{\text{com}} of a cylinder of internal temperature TintT_{\text{int}}, radius R=40R=40 nm, and length l=90l=90 nm (a) or l=40l=40 nm (b). The center-of-mass temperature of the motion along the cylinder axis (blue) or orthogonal to it (orange) are compared to the case of a sphere (black dotted line). (c) Hot Brownian motion coefficient KK as a function of the cylinder damping anisotropy gg. The values of KK are obtained from the slope in (a) and (b). We note that g=1g=1 corresponds to l=2Rl=2R.

From this simple model, we highlight that:

  • Depending on the cylinder geometry, the value of KK may strongly vary and is axis dependant.

  • For isotropic damping (i.e., an anisotropy factor g=Γx/Γy1g=\Gamma_{x}/\Gamma_{y}\approx 1), the hot Brownian motion is equivalently described by the one of a sphere. This is true at least for other simple geometries such as the cuboid.

  • For a non-isotropic particle, we generally observe a value of KK along one of the cylinder symmetry-axes larger than the expected value for a sphere and smaller along the other cylinder symmetry axis.

These results match well our experimental observations. We always measure KxK_{x} and KyK_{y} on a different side of the expected Ks0.28K_{s}\approx 0.28 for a sphere. The dispersion in KK is moderate, which is in good agreement with the fact that most particles have a weak damping anisotropy (g1g\approx 1). This confirms that for a diamond sphere the expected value of KK will be Ks0.28K_{s}\approx 0.28, which leads to an accommodation coefficient for nanodiamonds of αc1\alpha_{c}\approx 1.

Also, we note that the particle asymmetry provides a better coupling to the heat bath than for a sphere (Kx>KsK_{x}>K_{s}). So, assuming that the particle is a sphere leads to an effective accommodation coefficient larger than one, as discussed in the main text, even if αc1\alpha_{c}\geq 1 is not physically meaningful.

Finally, in contrast with the cylinder case, we do not observe a significant deviation from the sphere model in our experiments, even for the larger measured values of g1.5g\approx 1.5. This highlights that the cylinder model is not well suited for our nanodiamonds that are of more irregular shapes. To test the model of hot Brownian motion of a cylinder, it would be very interesting to trap diamond nanopillars of well control aspect ratio.

A.4 Characterization of overheated particles

We study height particles, from which two present an unexpected behavior in terms of heating of their center-of-mass motion. Here, we compare some physical parameters measured for these two particles to the value obtained by averaging over all the other particles. The given errors correspond to the fit uncertainties for the overheated particles, and to the standard deviation in the averaged values.

We compare

  • the hydrodynamic radius, which is the radius that would have a diamond sphere of the same damping Γx\Gamma_{x} as the particle 21, i.e.

    rxhydro=0.61992πρdiamMNAkBT0pgasΓx,r_{x}^{\text{hydro}}=0.619\dfrac{9}{\sqrt{2\pi}\rho_{\text{diam}}}\sqrt{\dfrac{M}{N_{A}k_{B}T_{0}}}\dfrac{p_{\text{gas}}}{\Gamma_{x}}\,, (S12)

    where ρdiam3500\rho_{\text{diam}}\approx 3500 Kg/m3 is the diamond density, MM the molar mass of air, T0T_{0} the room temperature and pgasp_{\text{gas}} the pressure inside the vacuum chamber. While not giving a precise physical quantity, the hydrodynamic radius provides an idea of the typical particle size.

  • the anisotropy ratio g=Γx/Γyg=\Gamma_{x}/\Gamma_{y}.

  • the heating rate κheat\kappa_{\text{heat}}.

For all these quantities, the overheated particles are in line with the expectation of the whole batch of particles, as shown in Table S1.

overheated part. 1 overheated part. 2 all particles
rxhydror^{\text{hydro}}_{x} (nm) 55±155\pm 1 52±652\pm 6 53±2053\pm 20
gg 1.01±0.041.01\pm 0.04 1.00±0.021.00\pm 0.02 1.16±0.221.16\pm 0.22
κheat\kappa_{\text{heat}} (K\cdothPa\cdotmW-1) 18±118\pm 1 12±512\pm 5 15±1015\pm 10
Table S1: Physical properties of overheated particles