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arxiv: 2604.05722 · v1 · submitted 2026-04-07 · ❄️ cond-mat.soft

Inertial chiral active Brownian particle: Transition from Gaussian to platykurtic distribution

Pith reviewed 2026-05-10 19:30 UTC · model grok-4.3

classification ❄️ cond-mat.soft
keywords inertial chiral active Brownian particleplatykurtic distributionharmonic confinementkurtosismean square displacementchiral frequencyGaussian distributionmicroswimmers
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The pith

The position distribution of an inertial chiral active Brownian particle transitions from Gaussian to platykurtic when the harmonic and chiral frequencies match.

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

The paper investigates the dynamics of an inertial chiral active Brownian particle confined by a harmonic potential through numerical simulations. It shows that the position distribution shifts from Gaussian to platykurtic when the harmonic frequency becomes comparable to the chiral frequency, producing short tails and nearly uniform probability near the potential minimum. This shift appears as a dip in the position kurtosis and a peak in the steady-state mean square displacement precisely at frequency matching. The same qualitative pattern holds in the rotational overdamped limit, where exact expressions for kurtosis and displacement are derived, though the kurtosis dip is milder. The work indicates that tuning trap frequency can therefore adjust the spatial spread of such particles.

Core claim

When the harmonic frequency becomes comparable to the chiral frequency, the position distribution of the inertial chiral active Brownian particle transitions from a Gaussian to a platykurtic distribution, corresponding to short tails with a nearly uniform probability near the minimum of the potential. This result is confirmed by a dip in the kurtosis of the particle position at the frequency match and by a non-monotonic steady-state mean square displacement that reaches its maximum only when the frequencies are of the same order. In the rotational overdamped limit the qualitative behavior remains the same, with exact expressions for kurtosis and mean square displacement showing a less-pronou

What carries the argument

The inertial chiral active Brownian particle under harmonic confinement, with the ratio of harmonic frequency to chiral frequency controlling the shape of the steady-state position distribution.

Load-bearing premise

Numerical simulations must faithfully represent the continuous-time dynamics without discretization artifacts, and the chosen parameter regimes for activity, friction and inertia must correspond to physically realizable chiral microswimmers.

What would settle it

An experiment that tracks the kurtosis of particle positions in a harmonic trap while sweeping the trap frequency through the chiral frequency; absence of a clear dip at the matching point would falsify the transition claim.

Figures

Figures reproduced from arXiv: 2604.05722 by M Muhsin, M Sahoo, S Deion.

Figure 1
Figure 1. Figure 1: FIG. 1. The simulated particle trajectory for [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Kurtosis [PITH_FULL_IMAGE:figures/full_fig_p003_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. 2D parametric plot of kurtosis [PITH_FULL_IMAGE:figures/full_fig_p003_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. The marginal probability distribution [PITH_FULL_IMAGE:figures/full_fig_p004_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. The simulated orientation profile [PITH_FULL_IMAGE:figures/full_fig_p005_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Plot of [PITH_FULL_IMAGE:figures/full_fig_p006_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. The plot of [PITH_FULL_IMAGE:figures/full_fig_p007_8.png] view at source ↗
read the original abstract

We investigate the dynamics of an inertial chiral active Brownian particle in the presence of a harmonic confinement. Through numerical simulation, we observe that when the harmonic frequency becomes comparable to the chiral frequency, the position distribution transitions from a Gaussian to a platykurtic distribution, corresponding to short tails with a nearly uniform probability near the minimum of the potential. This result is further confirmed by analyzing the kurtosis of the position of the particle as a function of harmonic frequency, which exhibits a dip when the harmonic frequency matches the chiral frequency. At the same time, the steady state mean square displacement (MSD) shows a non-monotonic feature with the harmonic frequency and shows a maximum only when the harmonic frequency is of the same order as the chiral frequency. In the rotational overdamped limit of the same model, we have calculated the exact expression for kurtosis, steady state MSD and find that the qualitative behavior remains the same. Kurtosis still exhibits a dip in the matching of chiral and harmonic frequencies, but the feature is less pronounced with a higher minimum. These findings might be relevant for controlling the transport and spatial distribution of chiral microswimmers in optical or acoustic traps, where confinement can be tuned to optimize particle distribution.

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 / 1 minor

Summary. The paper investigates the dynamics of an inertial chiral active Brownian particle in a harmonic trap. Numerical integration of the underdamped Langevin equations shows that when the harmonic frequency becomes comparable to the chiral frequency, the steady-state position distribution transitions from Gaussian to platykurtic (negative excess kurtosis), with a corresponding dip in kurtosis and a maximum in the mean-squared displacement. Exact closed-form expressions for kurtosis and MSD are derived in the rotational overdamped limit and exhibit qualitatively similar non-monotonic features, albeit with a weaker kurtosis dip.

Significance. If the inertial numerics are free of discretization artifacts, the reported resonance between harmonic and chiral frequencies that produces platykurtic statistics and non-monotonic MSD offers a concrete mechanism for tuning spatial distributions of chiral microswimmers in optical or acoustic traps. Credit is due for supplying exact analytic expressions for kurtosis and MSD in the overdamped limit; these provide an internal benchmark and confirm that the qualitative frequency-matching effect survives the inertial-to-overdamped crossover.

major comments (1)
  1. [Numerical results (inertial Langevin integration)] The central claims of a Gaussian-to-platykurtic transition, kurtosis dip, and MSD maximum at frequency matching rest entirely on numerical integration of the inertial Langevin equations. No integration scheme, timestep, ensemble size, or convergence tests are reported. This is load-bearing because the skeptic correctly notes that finite-timestep errors in the chiral torque term or multiplicative noise could artifactually produce the observed non-Gaussian features and non-monotonic MSD.
minor comments (1)
  1. [Abstract] The abstract states that the platykurtic distribution corresponds to 'nearly uniform probability near the minimum of the potential,' but it is unclear whether this is directly visualized in a figure or inferred solely from the kurtosis value; a brief clarification would help readers.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive report and positive assessment of the significance of the frequency-matching effect. We address the single major comment below.

read point-by-point responses
  1. Referee: [Numerical results (inertial Langevin integration)] The central claims of a Gaussian-to-platykurtic transition, kurtosis dip, and MSD maximum at frequency matching rest entirely on numerical integration of the inertial Langevin equations. No integration scheme, timestep, ensemble size, or convergence tests are reported. This is load-bearing because the skeptic correctly notes that finite-timestep errors in the chiral torque term or multiplicative noise could artifactually produce the observed non-Gaussian features and non-monotonic MSD.

    Authors: We agree that the original manuscript omitted essential numerical details, which is a valid concern for reproducibility and artifact exclusion. In the revised version we will insert a dedicated 'Numerical Methods' subsection that specifies: (i) the integration algorithm (Euler-Maruyama with Stratonovich interpretation for the multiplicative noise), (ii) the dimensionless timestep Δt = 10^{-3} (verified to be at least an order of magnitude smaller than the smallest dynamical time scale), (iii) the ensemble size (10^6 independent trajectories for steady-state histograms and moments), and (iv) explicit convergence tests showing that both the kurtosis minimum and the MSD maximum remain unchanged under further timestep reduction and ensemble enlargement. These additions will directly demonstrate that the platykurtic transition and non-monotonic MSD are not discretization artifacts. We also note that the exact analytic expressions derived in the rotational overdamped limit reproduce the same qualitative non-monotonic features, providing an independent cross-check that the inertial numerics capture the correct physics. revision: yes

Circularity Check

0 steps flagged

No significant circularity; results follow directly from model dynamics

full rationale

The paper reports numerical integration of the underdamped inertial Langevin equations for the chiral active Brownian particle in harmonic confinement, together with an exact analytic derivation of kurtosis and MSD in the rotational overdamped limit. The reported Gaussian-to-platykurtic transition, kurtosis dip at frequency matching, and non-monotonic MSD maximum are direct outputs of these computations rather than any fitted parameter, self-referential definition, or imported uniqueness theorem. No self-citations appear as load-bearing steps in the provided text, and the overdamped expressions are derived from the same model without circular reduction. The derivation chain is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

The model is built on standard inertial Langevin dynamics with added constant torque for chirality and harmonic confinement; no new entities are postulated. Free parameters include the ratio of harmonic to chiral frequency, activity strength, and damping coefficients, which are varied to locate the transition but are not fitted to external data.

free parameters (2)
  • harmonic frequency / chiral frequency ratio
    The transition is located by scanning this ratio; it is a control parameter rather than a fitted constant.
  • activity strength and inertia parameters
    These set the scale of self-propulsion and momentum relaxation but are not adjusted post-hoc to force the kurtosis dip.
axioms (2)
  • domain assumption The particle obeys inertial Langevin equations with constant torque and harmonic restoring force
    Standard active Brownian particle model extended to inertia and chirality; invoked throughout the abstract.
  • standard math Overdamped rotational limit yields closed-form steady-state moments
    Used to obtain exact kurtosis and MSD expressions that qualitatively match numerics.

pith-pipeline@v0.9.0 · 5517 in / 1527 out tokens · 45472 ms · 2026-05-10T19:30:13.782540+00:00 · methodology

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Works this paper leans on

56 extracted references · 56 canonical work pages

  1. [1]

    + 2b2c τ 10 m τ 2 R ×(3(6708 + 5405τ 2 RΩ2 + 1210τ 4 RΩ4 + 65τ 6 RΩ6) + 4τ 2 m 6390 + 5669τ 2 RΩ2 + 1198τ 4 RΩ4 + 11τ 6 RΩ6)ω 2 0) +τ mτ 4 R(d) + 2c[108τ 12 R + 3τ 4 mτ 8 R (56007 + 17351τ 2 RΩ2 + 632τ 4 RΩ4) + 6τ 5 mτ 7 R (50774 + 26631τ 2 RΩ2 + 2689τ 4 RΩ4) + 3τ 8 mτ 4 R (65093 + 105663τ 2 RΩ2 + 52519τ 4 RΩ4 + 8821τ 6 RΩ6 + 328τ 8 RΩ8) + 16τ 14 m (1 +τ ...

  2. [2]

    Ramaswamy, Active matter, J

    S. Ramaswamy, Active matter, J. Stat. Mech.2017, 054002 (2017)

  3. [3]

    Volpe, C

    G. Volpe, C. Bechinger, F. Cichos, R. Golestanian, H. L¨ owen, M. Sperl, and G. Volpe, Active matter in space, npj Microgravity8, 54 (2022)

  4. [4]

    K. Son, J. S. Guasto, and R. Stocker, Bacteria can exploit a flagellar buckling instability to change direction, Nature Phys.9, 494 (2013)

  5. [5]

    I. S. Aranson, Bacterial active matter, Rep. Prog. Phys. 85, 076601 (2022)

  6. [6]

    M. F. Copeland and D. B. Weibel, Bacterial swarming: a model system for studying dynamic self-assembly, Soft Matter5, 1174 (2009)

  7. [7]

    Banerjee, M

    S. Banerjee, M. C. Marchetti, and K. M¨ uller-Nedebock, Motor-driven dynamics of cytoskeletal filaments in motil- ity assays, Phys. Rev. E84, 011914 (2011)

  8. [8]

    F. C. MacKintosh and C. F. Schmidt, Active cellular ma- terials, Current Opinion in Cell Biology22, 29 (2010)

  9. [9]

    J. R. Howse, R. A. Jones, A. J. Ryan, T. Gough, R. Vafabakhsh, and R. Golestanian, Self-motile colloidal particles: from directed propulsion to random walk, Phys. Rev. Lett.99, 048102 (2007)

  10. [10]

    Walther and A

    A. Walther and A. H. E. M¨ uller, Janus particles: Synthe- sis, self-assembly, physical properties, and applications, Chem. Rev.113, 5194 (2013)

  11. [11]

    Z¨ ottl and H

    A. Z¨ ottl and H. Stark, Emergent behavior in active col- loids, Journal of Physics: Condensed Matter28, 253001 (2016)

  12. [12]

    ten Hagen, S

    B. ten Hagen, S. van Teeffelen, and H. L¨ owen, Brownian motion of a self-propelled particle, J. Phys.: Condens. Matter23, 194119 (2011)

  13. [13]

    M. E. Cates and J. Tailleur, When are active brownian particles and run-and-tumble particles equivalent? con- sequences for motility-induced phase separation, Euro. Phys. Lett.101, 20010 (2013)

  14. [14]

    Stenhammar, D

    J. Stenhammar, D. Marenduzzo, R. J. Allen, and M. E. Cates, Phase behaviour of active brownian particles: the role of dimensionality, Soft Matter10, 1489 (2014)

  15. [15]

    Romanczuk, M

    P. Romanczuk, M. B¨ ar, W. Ebeling, B. Lindner, and L. Schimansky-Geier, Active Brownian particles, Eur. Phys. J Spec. Top.202, 1 (2012)

  16. [16]

    L¨ owen, Inertial effects of self-propelled particles: From active Brownian to active Langevin motion, J

    H. L¨ owen, Inertial effects of self-propelled particles: From active Brownian to active Langevin motion, J. Chem. Phys.152, 040901 (2020)

  17. [17]

    Malakar, A

    K. Malakar, A. Das, A. Kundu, K. V. Kumar, and A. Dhar, Steady state of an active brownian particle in a two-dimensional harmonic trap, Phys. Rev. E101, 022610 (2020)

  18. [18]

    A. P. Solon, J. Stenhammar, R. Wittkowski, M. Kardar, Y. Kafri, M. E. Cates, and J. Tailleur, Pressure and phase equilibria in interacting active brownian spheres, Phys. Rev. Lett.114, 198301 (2015)

  19. [19]

    Caprini, C

    L. Caprini, C. Maggi, and U. Marini Bettolo Marconi, Collective effects in confined active brownian particles, J. Chem. Phys.154, 244901 (2021)

  20. [20]

    Caprini, U

    L. Caprini, U. M. B. Marconi, C. Maggi, M. Paoluzzi, and A. Puglisi, Hidden velocity ordering in dense suspensions of self-propelled disks, Phys. Rev. Res.2, 023321 (2020)

  21. [21]

    Buttinoni, J

    I. Buttinoni, J. Bialk´ e, F. K¨ ummel, H. L¨ owen, C. Bechinger, and T. Speck, Dynamical clustering and phase separation in suspensions of self-propelled colloidal particles, Phys. Rev. Lett.110, 238301 (2013)

  22. [22]

    Bialk´ e, J

    J. Bialk´ e, J. T. Siebert, H. L¨ owen, and T. Speck, Nega- tive interfacial tension in phase-separated active brown- 11 ian particles, Phys. Rev. Lett.115, 098301 (2015)

  23. [23]

    Mandal, B

    S. Mandal, B. Liebchen, and H. L¨ owen, Motility-induced temperature difference in coexisting phases, Phys. Rev. Lett.123, 228001 (2019)

  24. [24]

    H. H. Wensink and H. L¨ owen, Aggregation of self- propelled colloidal rods near confining walls, Phys. Rev. E78, 031409 (2008)

  25. [25]

    Tailleur and M

    J. Tailleur and M. E. Cates, Statistical mechanics of in- teracting run-and-tumble bacteria, Phys. Rev. Lett.100, 218103 (2008)

  26. [26]

    Fily and M

    Y. Fily and M. C. Marchetti, Athermal phase separation of self-propelled particles with no alignment, Phys. Rev. Lett.108, 235702 (2012)

  27. [27]

    M. C. Marchetti, J.-F. Joanny, S. Ramaswamy, T. B. Liverpool, J. Prost, M. Rao, and R. A. Simha, Hydrody- namics of soft active matter, Rev. Mod. Phys.85, 1143 (2013)

  28. [28]

    Bechinger, R

    C. Bechinger, R. Di Leonardo, H. L¨ owen, C. Reichhardt, G. Volpe, and G. Volpe, Active particles in complex and crowded environments, Rev. Mod. Phys.88, 045006 (2016)

  29. [29]

    M. E. Cates and J. Tailleur, Motility-induced phase sepa- ration, Annu. Rev. Condens. Matter Phys.6, 219 (2015)

  30. [30]

    Liebchen and D

    B. Liebchen and D. Levis, Chiral active matter, Euro- physics Letters139, 67001 (2022)

  31. [31]

    C. W. Chan, D. Wu, K. Qiao, K. L. Fong, Z. Yang, Y. Han, and R. Zhang, Chiral active particles are sensi- tive reporters to environmental geometry, Nature Com- munications15, 1406 (2024)

  32. [32]

    F. J. Sevilla, Diffusion of active chiral particles, Phys. Rev. E94, 062120 (2016)

  33. [33]

    Caprini and U

    L. Caprini and U. Marini Bettolo Marconi, Active chiral particles under confinement: surface currents and bulk accumulation phenomena, Soft Matter15, 2627 (2019)

  34. [34]

    Caprini, H

    L. Caprini, H. L¨ owen, and U. Marini Bettolo Marconi, Chiral active matter in external potentials, Soft Matter 19, 6234 (2023)

  35. [35]

    Levis, I

    D. Levis, I. Pagonabarraga, and B. Liebchen, Activity induced synchronization: Mutual flocking and chiral self- sorting, Phys. Rev. Res.1, 023026 (2019)

  36. [36]

    Bickmann, S

    J. Bickmann, S. Br¨ oker, J. Jeggle, and R. Wittkowski, Analytical approach to chiral active systems: Suppressed phase separation of interacting brownian circle swim- mers, The Journal of Chemical Physics156, 194904 (2022)

  37. [37]

    Ai, Ratchet transport powered by chiral active par- ticles, Scientific Reports6, 18740 (2016)

    B.-q. Ai, Ratchet transport powered by chiral active par- ticles, Scientific Reports6, 18740 (2016)

  38. [38]

    W. Li, L. Li, Q. Shi, M. Yang, and N. Zheng, Chiral sepa- ration of rotating robots through obstacle arrays, Powder Technology407, 117671 (2022)

  39. [39]

    K¨ ummel, B

    F. K¨ ummel, B. ten Hagen, R. Wittkowski, I. Buttinoni, R. Eichhorn, G. Volpe, H. L¨ owen, and C. Bechinger, Circular Motion of Asymmetric Self-Propelling Particles, Phys. Rev. Lett.110, 198302 (2013)

  40. [40]

    A. P. Berke, L. Turner, H. C. Berg, and E. Lauga, Hy- drodynamic attraction of swimming microorganisms by surfaces, Phys. Rev. Lett.101, 038102 (2008)

  41. [41]

    Volpe, S

    G. Volpe, S. Gigan, and G. Volpe, Simulation of the active brownian motion of a microswimmer, American Journal of Physics82, 659 (2014)

  42. [42]

    Liebchen and D

    B. Liebchen and D. Levis, Collective behavior of chiral active matter: Pattern formation and enhanced flocking, Phys. Rev. Lett.119, 058002 (2017)

  43. [43]

    Deion, F

    S. Deion, F. Adersh, and M. Sahoo, Chiral active gyrator: Memory induced direction reversal of rotational motion (2025), arXiv:2511.11013 [cond-mat.soft]

  44. [44]

    Pattanayak, A

    A. Pattanayak, A. Shee, D. Chaudhuri, and A. Chaud- huri, Chirality, confinement, and dimensionality govern re-entrant transitions in active matter, The Journal of Chemical Physics163, 244902 (2025)

  45. [45]

    Levis and B

    D. Levis and B. Liebchen, Micro-flock patterns and macro-clusters in chiral active brownian disks, Journal of Physics: Condensed Matter30, 084001 (2018)

  46. [46]

    Caprini, B

    L. Caprini, B. Liebchen, and H. L¨ owen, Self-reverting vortices in chiral active matter, Communications Physics 7, 153 (2024)

  47. [47]

    Ai, R.-x

    B.-q. Ai, R.-x. Guo, C.-h. Zeng, and Y.-f. He, Rotational inertia-induced glassy transition in chiral particle sys- tems, Phys. Rev. E109, 064902 (2024)

  48. [48]

    Scholz, S

    C. Scholz, S. Jahanshahi, A. Ldov, and H. L¨ owen, Inertial delay of self-propelled particles, Nat. Commun.9, 5156 (2018)

  49. [49]

    Dauchot and V

    O. Dauchot and V. D´ emery, Dynamics of a self-propelled particle in a harmonic trap, Phys. Rev. Lett.122, 068002 (2019)

  50. [50]

    Deblais, T

    A. Deblais, T. Barois, T. Guerin, P. H. Delville, R. Vau- daine, J. S. Lintuvuori, J. F. Boudet, J. C. Baret, and H. Kellay, Boundaries control collective dynamics of in- ertial self-propelled robots, Phys. Rev. Lett.120, 188002 (2018)

  51. [51]

    L. L. Gutierrez-Martinez and M. Sandoval, Time- dependent propulsion of fully inertial active stochastic particles: theory and simulations, Journal of Physics: Condensed Matter37, 135102 (2025)

  52. [52]

    Herrera and M

    P. Herrera and M. Sandoval, Maxwell-boltzmann velocity distribution for noninteracting active matter, Phys. Rev. E103, 012601 (2021)

  53. [53]

    Pattanayak, S

    A. Pattanayak, S. Roy, and A. Chaudhuri, Inertia- chirality interplay in active brownian motion: exact dy- namics and phase maps (2025), arXiv:2511.18361 [cond- mat.stat-mech]

  54. [54]

    Sahala, M

    F. Sahala, M. Muhsin, and M. Sahoo, Self-propulsion and self-rotation of an inertial chiral active ornstein- uhlenbeck particle, Physica Scripta100, 065956 (2025)

  55. [55]

    Pattanayak, A

    A. Pattanayak, A. Shee, D. Chaudhuri, and A. Chaud- huri, Impact of torque on active brownian particle: exact moments in two and three dimensions, New Journal of Physics26, 083024 (2024)

  56. [56]

    Patel and D

    M. Patel and D. Chaudhuri, Exact moments and re- entrant transitions in the inertial dynamics of active brownian particles, New J. Phys.25, 123048 (2023)