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arxiv: 2605.27118 · v1 · pith:IRCBKITYnew · submitted 2026-05-26 · ⚛️ physics.ins-det · cond-mat.mes-hall· cond-mat.mtrl-sci· cond-mat.soft· cond-mat.stat-mech

A Levitated Random Telegraph Noise Spectrometer

Pith reviewed 2026-06-29 14:57 UTC · model grok-4.3

classification ⚛️ physics.ins-det cond-mat.mes-hallcond-mat.mtrl-scicond-mat.softcond-mat.stat-mech
keywords random telegraph noiselevitated microparticlenoise spectrometerspectral propertiesunderdamped fluctuationsnon-white noisestochastic dynamics
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The pith

A levitated microparticle sensor measures random telegraph noise spectra over six decades by showing a thousand-fold increase in position fluctuations.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that a levitated microparticle whose motion is driven almost entirely by random telegraph noise displays a resonant amplification of its underdamped position fluctuations by a factor of one thousand. This effect stems from the non-white character of the noise and permits direct extraction of the noise spectral properties across six orders of magnitude in time. A sympathetic reader would see this as a practical new instrument for characterizing a noise process that limits performance in microelectronic and quantum devices.

Core claim

A levitated microparticle sensor whose dynamics are driven almost entirely by random telegraph noise exhibits a thousand-fold increase in underdamped position fluctuations, enabling measurement of the noise spectral properties over six decades of timescale.

What carries the argument

The levitated microparticle sensor driven by random telegraph noise, whose resonant amplification arises from the noise's non-white spectrum.

If this is right

  • The sensor directly yields the spectral density of random telegraph noise over six decades of timescale.
  • The platform enables controlled study of non-equilibrium stochastic dynamics under realistic non-white noise.
  • The approach applies to characterizing noise that affects micro-, nano-, and quantum-technology reliability.
  • Similar sensors could probe stochastic processes in biological and social systems.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same resonant mechanism could be tested with other colored-noise sources to map response functions.
  • Varying the telegraph switching rates in a controlled source would allow direct calibration of the amplification factor.
  • The method might reveal how non-white noise influences long-term stability in precision levitated systems.

Load-bearing premise

The sensor dynamics are driven almost entirely by the random telegraph noise rather than thermal or other environmental sources.

What would settle it

An experiment in which the observed position-fluctuation increase falls well below a factor of one thousand when the microparticle is subjected to controlled random telegraph noise, or in which the extracted spectrum fails to span six decades consistently.

Figures

Figures reproduced from arXiv: 2605.27118 by Benjamin A. Stickler, Bianca C. J. Uy, Hyukjoon Kwon, James Millen, Jonathan D. Pritchett, Katie O'Flynn, Molly Message, Muddassar Rashid, Qiongyuan Wu, Yugang Ren.

Figure 1
Figure 1. Figure 1: A levitated charged microparticle coupled to an RTN bath a) RTN is synthesized as a voltage (gray trace), which is amplified and applied to an electrode near the levitated particle, producing displacements along the z-axis (magenta trace). The inset shows a zoom-in around a single RTN jump, with a displacement followed by ringdown at the damping rate γz. b) Three examples of the particle’s 1-D motion under… view at source ↗
Figure 2
Figure 2. Figure 2: Position probability density functions (PDFs) of a particle driven by RTN a) The particle’s position PDF at different RTN switching rates ν. The z-axis is truncated for clarity. b) Variation in position variance σ 2 z with ν (coloured points), extracted from the time-series of the data and compared to the theoretical model in Eq. (3) with no free parameters (black dashed line). c) Individual position PDFs … view at source ↗
Figure 3
Figure 3. Figure 3: Spectral analysis of a particle driven by RTN a) Position PSDs of the particle’s motion at different RTN characteristic rates ν. The data (coloured solid lines) is compared to the theoretical model in Eq. (5) with no free parameters (black dashed lines). b) The maximum of the position PSDs, extracted by analysing a 0.2 Hz window around ω = ωz (coloured points), com￾pared to the theoretical prediction in Eq… view at source ↗
Figure 4
Figure 4. Figure 4: Sensing the spectral characteristics of RTN with a levitated sensor a) The theoretical values of S max zz (ν) for three values of ωz (solid lines). Each value of S max zz corresponds to two possible values of ν (blue and black points). The true value of ν does not vary with ωz (blue points). b) Exper￾imental data from running the sensing protocol and extracting two values of νest for each value of ωz (blue… view at source ↗
Figure 5
Figure 5. Figure 5: Illustration of one Telegraph jump and its connection to the Poisson [PITH_FULL_IMAGE:figures/full_fig_p013_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Numerically computed standardized cumulants against the RTN [PITH_FULL_IMAGE:figures/full_fig_p014_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Analysis of sensing using the resonance relation. Panel a) shows [PITH_FULL_IMAGE:figures/full_fig_p017_7.png] view at source ↗
read the original abstract

Random Telegraph Noise is a ubiquitous process manifesting across technology and the natural world. It is characterized by random jumps between two distinct states with Poissonian waiting times, and is the origin of 1/f noise. Understanding and characterizing this noise is critical for the reliable operation of micro-, nano- and quantum-technologies. In this work we probe random telegraph noise using a levitated microparticle sensor whose dynamics are driven almost entirely by this non-white source of noise. We observe a startling resonant behaviour, characterized by a thousand-fold increase in the underdamped sensor's position fluctuations, enabling us to measure the spectral properties of the noise over six decades of timescale. This work not only provides a unique way to probe random telegraph noise, but also demonstrates a platform for studying non-equilibrium stochastic dynamics in the presence of realistic non-white noise, with applications from biology to social behaviour.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript proposes a levitated microparticle sensor for characterizing random telegraph noise (RTN). It claims that the sensor's dynamics are driven almost entirely by this non-white noise, resulting in a resonant behavior with a thousand-fold increase in underdamped position fluctuations. This enables the measurement of the noise's spectral properties over six decades of timescale. The work is presented as a platform for studying non-equilibrium stochastic dynamics in realistic noise environments, with applications ranging from biology to social behaviour.

Significance. If the result holds, this approach could provide a unique and powerful method for probing RTN, which is important for the reliable operation of micro-, nano-, and quantum-technologies. The ability to measure over six decades is significant for noise spectroscopy, and the demonstration of non-equilibrium dynamics with non-white noise could have broad implications.

major comments (1)
  1. [Abstract] Abstract: the claim that the sensor dynamics are driven almost entirely by the random telegraph noise lacks quantitative support such as a variance ratio with/without the RTN source or a PSD decomposition showing the RTN Lorentzian dominating the mechanical resonance. This premise is load-bearing for the central claim of RTN-specific resonant amplification over thermal or technical noise.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful reading and constructive feedback on our manuscript. We respond to the single major comment below.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the claim that the sensor dynamics are driven almost entirely by the random telegraph noise lacks quantitative support such as a variance ratio with/without the RTN source or a PSD decomposition showing the RTN Lorentzian dominating the mechanical resonance. This premise is load-bearing for the central claim of RTN-specific resonant amplification over thermal or technical noise.

    Authors: The abstract is necessarily concise, but the manuscript body contains the quantitative support requested. The results section includes a PSD decomposition demonstrating that the RTN Lorentzian dominates the mechanical resonance, together with a direct variance comparison (with versus without the RTN source) that quantifies the dominance. The reported thousand-fold increase in position fluctuations is the outcome of this comparison. We agree that a brief reference to these quantitative elements would improve the abstract and will revise it accordingly. revision: yes

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The paper presents an experimental platform using a levitated microparticle to probe random telegraph noise, with the central claim resting on observed resonant amplification of position fluctuations under RTN drive. No equations, fitting procedures, or self-citations are referenced in the provided abstract or summary that would reduce any claimed prediction or uniqueness result to an input by construction. The argument structure relies on standard driven-oscillator dynamics once the premise of RTN dominance is granted, with no load-bearing steps that invoke self-defined parameters, fitted inputs renamed as predictions, or imported uniqueness theorems. The derivation chain is therefore self-contained against external benchmarks and does not exhibit any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review supplies no explicit free parameters, axioms, or invented entities; ledger entries cannot be populated.

pith-pipeline@v0.9.1-grok · 5732 in / 935 out tokens · 25779 ms · 2026-06-29T14:57:01.553329+00:00 · methodology

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Reference graph

Works this paper leans on

32 extracted references

  1. [1]

    Telegraph frequency noise in electromechanical resonators

    F. Sun, J. Zou, Z. A. Maizelis, and H. B. Chan. “Telegraph frequency noise in electromechanical resonators”. In:Phys. Rev. B91 (17 May 2015), p. 174102

  2. [2]

    Modelling the effect of telegraph noise in the SIRS epidemic model using Markovian switching

    D. Greenhalgh, Y. Liang, and X. Mao. “Modelling the effect of telegraph noise in the SIRS epidemic model using Markovian switching”. In:Physica A: Statistical Mechanics and its Applications462 (2016), pp. 684–704

  3. [3]

    Singular response of bistable systems driven by telegraph noise

    Akihisa Ichiki, Yukihiro Tadokoro, and M. I. Dykman. “Singular response of bistable systems driven by telegraph noise”. In:Phys. Rev. E85 (3 Mar. 2012), p. 031106

  4. [4]

    Colored Noise in Dynamical Systems

    Peter H¨ aunggi and Peter Jung. “Colored Noise in Dynamical Systems”. In:Advances in Chemical Physics. John Wiley & Sons, Ltd, 1994, pp. 239– 326. 17

  5. [5]

    (In- vited) Random Telegraph Noise: From a Device Physicist’s Dream to a Designer’s Nightmare

    Eddy Simoen, Ben Kaczer, Maria Toledano-Luque, and Cor Claeys. “(In- vited) Random Telegraph Noise: From a Device Physicist’s Dream to a Designer’s Nightmare”. In:ECS Transactions39.1 (Sept. 2011), p. 3

  6. [6]

    Advanced Character- ization and Analysis of Random Telegraph Noise in CMOS Devices

    J. Martin-Martinez, R. Rodriguez, and M. Nafria. “Advanced Character- ization and Analysis of Random Telegraph Noise in CMOS Devices”. In: Noise in Nanoscale Semiconductor Devices. Ed. by Tibor Grasser. Cham: Springer International Publishing, 2020, pp. 467–493

  7. [7]

    Emergent 1/fNoise in Ensem- bles of Random Telegraph Noise Oscillators

    Barry N. Costanzi and E. Dan Dahlberg. “Emergent 1/fNoise in Ensem- bles of Random Telegraph Noise Oscillators”. In:Phys. Rev. Lett.119 (9 Aug. 2017), p. 097201

  8. [8]

    Random telegraph noise analysis in time domain

    Y. Yuzhelevski, M. Yuzhelevski, and G. Jung. “Random telegraph noise analysis in time domain”. In:Rev. Sci. Instrum.71 (4 2000), pp. 1681– 1688

  9. [9]

    The Impact of Electrostatic Interactions Between Defects on the Characteristics of Ran- dom Telegraph Noise

    Sara Vecchi, Paolo Pavan, and Francesco Maria Puglisi. “The Impact of Electrostatic Interactions Between Defects on the Characteristics of Ran- dom Telegraph Noise”. In:IEEE Transactions on Electron Devices69.12 (2022), pp. 6991–6998

  10. [10]

    RTNinja: A generalized machine learning framework for analyzing random telegraph noise signals in nanoelectronic devices

    Anirudh Varanasi, Robin Degraeve, Philippe Roussel, and Clement Mer- ckling. “RTNinja: A generalized machine learning framework for analyzing random telegraph noise signals in nanoelectronic devices”. In:APL Ma- chine Learning3.4 (Dec. 2025), p. 046109

  11. [11]

    Rigidity generation by non- thermal fluctuations

    R. Sheshka, P. Recho, and L. Truskinovsky. “Rigidity generation by non- thermal fluctuations”. In:Phys. Rev. E93 (5 May 2016), p. 052604

  12. [12]

    On financial markets based on telegraph processes

    Nikita Ratanov and Alexander Melnikov. “On financial markets based on telegraph processes”. In:Stochastics80.2-3 (Apr. 2008), pp. 247–268

  13. [13]

    Langevin dynamics with dichotomous noise; direct simulation and applications

    Debashis Barik, Pulak Kumar Ghosh, and Deb Shankar Ray. “Langevin dynamics with dichotomous noise; direct simulation and applications”. In: Journal of Statistical Mechanics: Theory and Experiment2006.03 (Mar. 2006), P03010

  14. [14]

    Single Particle Thermodynamics with Levitated Nanoparticles

    James Millen and Jan Gieseler. “Single Particle Thermodynamics with Levitated Nanoparticles”. In:Thermodynamics in the Quantum Regime: Fundamental Aspects and New Directions. Cham: Springer International Publishing, 2018, pp. 853–885

  15. [15]

    Resonances arising from hydrodynamic memory in Brownian motion

    Thomas Franosch et al. “Resonances arising from hydrodynamic memory in Brownian motion”. In:Nature478.7367 (Oct. 2011), pp. 85–88

  16. [16]

    Levitodynamics: Levitation and control of microscopic ob- jects in vacuum

    C. Gonzalez-Ballestero, M. Aspelmeyer, L. Novotny, R. Quidant, and O. Romero-Isart. “Levitodynamics: Levitation and control of microscopic ob- jects in vacuum”. In:Science374.6564 (2021), eabg3027

  17. [17]

    Optomechanics with levitated particles

    James Millen, Tania S Monteiro, Robert Pettit, and A Nick Vamivakas. “Optomechanics with levitated particles”. In:Reports on Progress in Physics 83.2 (Jan. 2020), p. 026401. 18

  18. [18]

    Cambridge University Press, 2025

    Udo Seifert.Stochastic Thermodynamics. Cambridge University Press, 2025

  19. [19]

    Mea- surement of the Instantaneous Velocity of a Brownian Particle

    Tongcang Li, Simon Kheifets, David Medellin, and Mark G. Raizen. “Mea- surement of the Instantaneous Velocity of a Brownian Particle”. In:Sci- ence328.5986 (2010), pp. 1673–1675

  20. [20]

    Direct measurement of Kramers turnover with a levitated nanoparticle

    Lo¨ ıc Rondin, Jan Gieseler, Francesco Ricci, Romain Quidant, Christoph Dellago, and Lukas Novotny. “Direct measurement of Kramers turnover with a levitated nanoparticle”. In:Nature Nanotechnology12.12 (Dec. 2017), pp. 1130–1133

  21. [21]

    A single-atom heat engine

    Johannes Roßnagel et al. “A single-atom heat engine”. In:Science352.6283 (2016), pp. 325–329

  22. [22]

    Extreme-Temperature Single-Particle Heat Engine

    M. Message et al. “Extreme-Temperature Single-Particle Heat Engine”. In:Phys. Rev. Lett.135 (21 Nov. 2025), p. 217101

  23. [23]

    Escape dynamics of active particles in multistable po- tentials

    A. Militaru, M. Innerbichler, M. Frimmer, F. Tebbenjohanns, L. Novotny, and C. Dellago. “Escape dynamics of active particles in multistable po- tentials”. In:Nature Communications12 (2021), p. 2446

  24. [24]

    Ef- fects of Colored Noise on Stochastic Resonance in Sensory Neurons

    Daichi Nozaki, Douglas J. Mar, Peter Grigg, and James J. Collins. “Ef- fects of Colored Noise on Stochastic Resonance in Sensory Neurons”. In: Physical Review Letters82.11 (1999), pp. 2402–2405

  25. [25]

    Yoctonewton force detection based on optically levitated oscillator

    Tao Liang et al. “Yoctonewton force detection based on optically levitated oscillator”. In:Fundamental Research3.1 (2023), pp. 57–62

  26. [26]

    Event-based imaging of levitated microparticles

    Yugang Ren et al. “Event-based imaging of levitated microparticles”. In: Applied Physics Letters121.11 (Sept. 2022), p. 113506

  27. [27]

    Brownian Carnot engine

    I. A. Mart´ ınez, ´E Rold´ an, L. Dinis, D. Petrov, J. M. R. Parrondo, and R. A. Rica. “Brownian Carnot engine”. In:Nature Physics12.1 (Jan. 2016), pp. 67–70

  28. [28]

    Neuromorphic detection and cooling of microparticles in arrays

    Yugang Ren et al. “Neuromorphic detection and cooling of microparticles in arrays”. In:Nature Communications16.1 (Nov. 2025), p. 10658

  29. [29]

    Spatially resolved random telegraph fluctu- ations of a single trap at the Si/SiO2 interface

    Megan Cowie, Procopios C. Constantinou, Neil J. Curson, Taylor J. Z. Stock, and Peter Gr¨ utter. “Spatially resolved random telegraph fluctu- ations of a single trap at the Si/SiO2 interface”. In:Proceedings of the National Academy of Sciences121.44 (2024), e2404456121

  30. [30]

    Direct loading of nanoparticles under high vacuum into a Paul trap for levitodynamical experiments

    Dmitry S. Bykov, Pau Mestres, Lorenzo Dania, Lisa Schm¨ oger, and Tracy E. Northup. “Direct loading of nanoparticles under high vacuum into a Paul trap for levitodynamical experiments”. In:Applied Physics Letters 115.3 (July 2019), p. 034101

  31. [31]

    Di- rect and Clean Loading of Nanoparticles into Optical Traps at Millibar Pressures

    Maryam Nikkhou, Yanhui Hu, James A. Sabin, and James Millen. “Di- rect and Clean Loading of Nanoparticles into Optical Traps at Millibar Pressures”. In:Photonics8.11 (2021)

  32. [32]

    Event-based imaging of levitated microparticles

    Yugang Ren et al. “Event-based imaging of levitated microparticles”. In: Applied Physics Letters121.11 (Sept. 2022), p. 113506. 19