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arxiv: 2605.04393 · v2 · submitted 2026-05-06 · ⚛️ nucl-th · hep-ph· hep-th

Recognition: 2 theorem links

· Lean Theorem

Medium Characterization with Hard Probes: From Cherenkov Light in QED to Jet Drift in QCD

Hasan R. Rahman
Authors on Pith no claims yet

Pith reviewed 2026-05-15 07:30 UTC · model grok-4.3

classification ⚛️ nucl-th hep-phhep-th
keywords Cherenkov radiationliquid argonjet driftquark-gluon plasmamedium characterizationhard probesrefractive indexelliptic flow
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The pith

Angular signatures of hard probes characterize media from liquid argon to the quark-gluon plasma.

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

The paper develops a unified framework that uses the angular and kinematic signatures of hard probes to extract medium properties. In the QED section it constructs a dispersive fit for the refractive index of liquid argon that includes anomalous dispersion at the 106.6 nm resonance and demonstrates that the resulting Cherenkov angular distribution produces a measurable excess over isotropic scintillation in selected bins. In the QCD section it introduces jet drift, the flow-induced deflection of partons, and employs the Anisotropic Parton Evolution Monte Carlo to show that this deflection produces distinct patterns in elliptic flow and dihadron acoplanarity across different collision systems, allowing separation from conventional energy-loss effects. A sympathetic reader would therefore expect that precision angular measurements can serve as tomographic tools for both electromagnetic and strong-interaction media.

Core claim

The dissertation establishes that a single framework spanning Cherenkov radiation in QED and jet drift in QCD lets hard probes resolve fundamental medium properties through their angular and kinematic responses. The refractive-index fit for liquid argon shows that Cherenkov light is highly sensitive to the peak value of n(lambda) and supplies an excess signal useful for particle identification. In heavy-ion collisions the jet-drift observable separates medium-size, temperature, and geometry effects from ordinary energy loss in v2 and Delta-phi distributions.

What carries the argument

The angular distribution of Cherenkov radiation, made sensitive to the refractive-index peak by the dispersive fit, and the jet-drift deflection generated inside the Anisotropic Parton Evolution Monte Carlo simulation.

If this is right

  • The refractive-index fit supplies an improved input for Cherenkov-based particle identification in DUNE and CCM.
  • Jet-drift observables can be used to disentangle medium geometry and flow effects from parton energy loss in heavy-ion data.
  • The same angular-kinematic strategy can be applied across additional collision systems to map temperature and size dependence of the quark-gluon plasma.
  • Precision angular measurements become a standard tomographic tool for both electromagnetic and strong media.

Where Pith is reading between the lines

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

  • If the Cherenkov excess is confirmed, liquid-argon detectors could achieve higher PID purity at lower energies than currently projected.
  • Jet-drift measurements could be combined with existing energy-loss data to place tighter constraints on the shear viscosity of the quark-gluon plasma.
  • The framework suggests that analogous deflection signatures might appear in other flowing media, such as strongly coupled plasmas or even non-relativistic fluids, provided a suitable hard probe exists.

Load-bearing premise

The Anisotropic Parton Evolution Monte Carlo accurately reproduces jet-drift systematics without hidden biases arising from medium geometry, temperature parametrization, or parton-evolution details.

What would settle it

A null result in which measured Cherenkov angular bins in liquid argon show no excess over scintillation or in which elliptic flow and acoplanarity data from PbPb, AuAu, and UU collisions display no distinct jet-drift patterns beyond standard energy-loss models would falsify the central claim.

Figures

Figures reproduced from arXiv: 2605.04393 by Hasan R. Rahman.

Figure 1
Figure 1. Figure 1: Muon neutrino and muon anti-neutrino flux predictions from current and future view at source ↗
Figure 2
Figure 2. Figure 2: Spherical wavelets of fields of a particle travelling less than (left fig) and greater view at source ↗
Figure 3
Figure 3. Figure 3: Characteristic cone-shaped Cherenkov radiation of a charged particle exceeding the view at source ↗
Figure 4
Figure 4. Figure 4: Method of particle identification which uses the Cherenkov angle view at source ↗
Figure 5
Figure 5. Figure 5: Data and fits to the refractive index n(λ) of LAr. A zoomed out plot (a) shows the behavior of n(λ) as it crosses the resonance, while the region above the resonance (b) is of interest for the Cherenkov radiation. The immediate result shown in Fig. 4b is that the Cherenkov radiation is smeared between the maximum and minimum values of n(λ). This results in the spread seen between the wavelengths emitting a… view at source ↗
Figure 6
Figure 6. Figure 6: Relationship between the key features npeak, nIR of the refractive index (a) to the boundaries of the Cherenkov IAD (b). Here, the IAD dN dΩ dx stands for the number dN of Cherenkov photons emitted instantaneously, per unit path length dx, in a differential solid angle dΩ, and λθ is the solution to the wavelength-dependent Cherenkov condition. One should also note that λθ will also appear from the derivati… view at source ↗
Figure 7
Figure 7. Figure 7: (a) Stopping power − dT dx for a proton in LAr as a function of its kinetic energy T. The range of interest for this work (383 - 1500 MeV) is highlighted in yellow. (b) Range of a proton in LAr with a given initial kinetic energy estimated from different methods (right) view at source ↗
Figure 8
Figure 8. Figure 8: General features of the integrated angular distribution. view at source ↗
Figure 9
Figure 9. Figure 9: Instantaneous (a) and integrated (b) Cherenkov yields for protons in LAr for view at source ↗
Figure 10
Figure 10. Figure 10: Instantaneous AD of protons in LAr using the HO model. Angular distributions view at source ↗
Figure 11
Figure 11. Figure 11: Instantaneous AD of protons in LAr using Approx fit (left) and associated PID view at source ↗
Figure 12
Figure 12. Figure 12: Illustration of the angular quantile ratio (IAQR) for the Instantaneous AD. view at source ↗
Figure 13
Figure 13. Figure 13: Averaged Angular Quantile Ratio (IAQR) of Proton (left Plot) and Muon (Right view at source ↗
Figure 14
Figure 14. Figure 14: Binned IAQR of proton and muon with jackknife error as a function of velocity view at source ↗
Figure 15
Figure 15. Figure 15: Figure of Merit (FoM) of the IAQR for protons (left) and muons (right). The view at source ↗
Figure 16
Figure 16. Figure 16: Integrated AD of protons in LAr using HO model fit (left) and associated PID view at source ↗
Figure 17
Figure 17. Figure 17: Integrated AD of protons in LAr using Approx fit (left) and associated PID view at source ↗
Figure 18
Figure 18. Figure 18: Illustration of the angular quantile ratio (AQR) for the integrated AD. view at source ↗
Figure 19
Figure 19. Figure 19: Averaged Angular Quantile Ratio (AQR) of Proton (Left Plot) and Muon (Right view at source ↗
Figure 20
Figure 20. Figure 20: Binned AQR of proton and muon with jackknife error as a function of velocity view at source ↗
Figure 21
Figure 21. Figure 21: Figure of Merit (FoM) of the AQR for protons (left) and muons (right) integrated view at source ↗
Figure 22
Figure 22. Figure 22: Coupling to the elliptic flow of the medium, attracting partons to the event plane view at source ↗
Figure 23
Figure 23. Figure 23: Left: Mean dihadron acoplanarity ∆ϕ (deviation from π) produced by jet drift. Right: Elliptic flow enhancement ∆v exp 2 due to jet drift. Figures reproduced from Ref. [55]; see that paper for all details. sector, while experimental measurements of ⃗vhard n (pT ) typically include all particles in a given pT bin, our simulation counts only those arising explicitly from hard processes. Based on the mean pT … view at source ↗
Figure 24
Figure 24. Figure 24: Histograms of the maximum temperature Tmax (left) and median temperature Tmed (right) of the initial conditions of PbPb and AuAu collisions. This figure represents approximately 2500 events per data set. in peripheral collisions due to minimal deflection, largest in semi-peripheral collisions where there is a balance of moderate deflection and moderate ellipticity, and decreases again in central collision… view at source ↗
Figure 25
Figure 25. Figure 25: Histograms of the ratio of maximum temperature view at source ↗
Figure 25
Figure 25. Figure 25: Histograms of the ratio of maximum temperature [PITH_FULL_IMAGE:figures/full_fig_p077_25.png] view at source ↗
Figure 26
Figure 26. Figure 26: Histogram [∼ 2500 events] of impact parameter b (left) and mean impact pa￾rameter as a function of centrality (right) for 5.02 TeV PbPb collisions and 200 GeV AuAu collisions. and therefore, a distribution in impact parameter magnitude that grows linearly, dP db⊥ ∝ b⊥ . (41) This linear behavior continues up to the peak around b ≈ 2R ≈ 13 fM where the nuclei begin to miss. The slightly larger radius of Pb… view at source ↗
Figure 26
Figure 26. Figure 26: Histogram [∼ 2500 events] of impact parameter b (left) and mean impact pa￾rameter as a function of centrality (right) for 5.02 TeV PbPb collisions and 200 GeV AuAu collisions. two collisional systems. In [PITH_FULL_IMAGE:figures/full_fig_p078_26.png] view at source ↗
Figure 27
Figure 27. Figure 27: Eccentricity ε2 distribution of 5.02 TeV PbPb collision at the LHC compared to 200 GeV AuAu collision at RHIC view at source ↗
Figure 27
Figure 27. Figure 27: Eccentricity ε2 distribution of 5.02 TeV PbPb collision at the LHC compared to 200 GeV AuAu collision at RHIC. of uniform impact parameter distribution in two-dimensional space, dP d 2b⊥ = 1 2πb⊥ dP db⊥ = const , (40) and therefore, a distribution in impact parameter magnitude that grows linearly, dP db⊥ ∝ b⊥ . (41) This linear behavior continues up to the peak around b ≈ 2R ≈ 13 fM where the nuclei begin… view at source ↗
Figure 28
Figure 28. Figure 28: Histograms [∼ 2500 events] of pT for PbPb and AuAu for minimum bias collisions (left) and with a cut pT ≤ 10 GeV (right). ⟨pT ⟩AuAu = 1.91 GeV in AuAu collisions. With a cut on semi-hard partons pT ≤ 10 GeV (right panel of view at source ↗
Figure 29
Figure 29. Figure 29: Acoplanarity histograms for 5.02 TeV PbPb collision at the LHC plotted as a view at source ↗
Figure 30
Figure 30. Figure 30: Acoplanarity enhancement as a function of view at source ↗
Figure 31
Figure 31. Figure 31: Excess of acoplanarity enhancement ∆ϕ between 200 GeV AuAu collisions at RHIC and 5.02 TeV PbPb collisions at the LHC. lower temperature (Tmax ∼ 375 MeV) for AuAu compared to the previously discussed PbPb system where Tmax ∼ 450 MeV. We also notice that this ordering is more differential between all ε2-bins in AuAu collisions than PbPb view at source ↗
Figure 32
Figure 32. Figure 32: Left: Impact parameter relationship with event geometry. Note profile geometry view at source ↗
Figure 33
Figure 33. Figure 33: Acoplanarity histograms for 5.02 TeV PbPb collision at the LHC plotted as a view at source ↗
Figure 34
Figure 34. Figure 34: Min Bias binned histograms of ε2 (top left), RRMS (top right), and Tmax (bottom) generated from the full initial pT spectrum. is, the significantly larger pT of jets produced in PbPb collisions at the LHC seen in view at source ↗
Figure 34
Figure 34. Figure 34: Min Bias binned histograms of ε2 (top left), RRMS (top right), and Tmax (bottom) generated from the full initial pT spectrum. therefore a decreasing function of ε2. Moreover, from the bottom left panel of [PITH_FULL_IMAGE:figures/full_fig_p087_34.png] view at source ↗
Figure 35
Figure 35. Figure 35: Min Bias binned histograms of ε2 (top left), RRMS (top right), and Tmax (bottom) generated from the full initial pT spectrum for full pT (solid) versus pT < 10GeV (dashed). temperatures. But at fixed Tmax, the acoplanarity of AuAu collisions is nearly the same as in PbPb collisions, with an excess for PbPb in the most central collisions where one is sensitive to the slightly larger path length in PbPb. Th… view at source ↗
Figure 35
Figure 35. Figure 35: Min Bias binned histograms of ε2 (top left), RRMS (top right), and Tmax (bottom) generated from the full initial pT spectrum for full pT (solid) versus pT < 10GeV (dashed). While the acoplanarity in AuAu (gold curves) has a qualitatively similar dependence on all underlying variables as in PbPb (blue curves), curiously the effect is larger for AuAu than for PbPb by a significant margin: a factor of ∼ 3 wh… view at source ↗
Figure 36
Figure 36. Figure 36: Hadronic v2s of 5.02 TeV PbPb Collision at RHIC 3.2.3 Jet Observables: Elliptic Flow For another measure of the effects of jet drift in heavy ion collisions, we study the elliptic flow v2 of hadrons in PbPb versus AuAu collisions. We again use binning in Tmax and ellipticity ε2 to study the independent contributions of the underlying variables. While the absolute magnitudes of v2 may be subject to normali… view at source ↗
Figure 37
Figure 37. Figure 37: Partonic v exp 2 of 5.02 TeV PbPb with drift off (top left), on (top right), along with the net change in v exp 2 (bottom) resulting from drift sectors. Event plane decorrelation is seen at the partonic level, at low pT , in several centrality bins 0-20%, 30-50%, and 50-70%. In contrast, as shown in the top right panel of view at source ↗
Figure 37
Figure 37. Figure 37: Partonic v exp 2 of 5.02 TeV PbPb with drift off (top left), on (top right), along with the net change in v exp 2 (bottom) resulting from drift below 200 MeV. Simulated events with Tmax ≤ 200 MeV are unlikely to be well described by the assumed physics of the QGP, so the soft elliptic flow generated in these events should be interpreted skeptically. Unlike the other two cumulants, v exp 2 is a correlation… view at source ↗
Figure 38
Figure 38. Figure 38: Hadronic v exp 2 for 5.02 TeV PbPb collisions with drift off (top left), on (top right), along with the net change in v exp 2 (bottom left) and event plane angle ψ2 due to drift (bottom right). ∆v exp 2 due to drift, as shown in the bottom panel of view at source ↗
Figure 39
Figure 39. Figure 39: Binned histograms of v2 for 5.02 TeV PbPb (left) and 200 GeV AuAu (right). This figure represents approximately 5000 total events per data set. and decrease of v exp 2 at low pT in for > 30% centrality, a sign that event plane decorrelation is starting to set in, but not enough to cause v exp 2 to fully become negative, as in the partonic case. With drift turned on (top right panel), that downturn in v ex… view at source ↗
Figure 40
Figure 40. Figure 40: Excess of v exp 2 between 200 GeV AuAu at RHIC and 5.02 TeV PbPb at the LHC for minimum bias (solid blue curve) and in bins of ε2 (colored dashed and dotted lines). Next, we move to the multidifferential binning of v exp 2 for hadrons as a function of Tmax and ε2 view at source ↗
Figure 41
Figure 41. Figure 41: Comparison of the histograms of the transverse momentum view at source ↗
Figure 41
Figure 41. Figure 41: Comparison of the histograms of the transverse momentum [PITH_FULL_IMAGE:figures/full_fig_p096_41.png] view at source ↗
Figure 42
Figure 42. Figure 42: Histograms of the maximum temperature Tmax (left) and median temperature Tmed (right) of the initial conditions of UU and AuAu collisions. This figure represents approximately 2500 events per data set. than AuAu in these bins, as shown in the bottom panels of view at source ↗
Figure 42
Figure 42. Figure 42: Histograms of the maximum temperature Tmax (left) and median temperature Tmed (right) of the initial conditions of UU and AuAu collisions. This figure represents approximately 2500 events per data set. temperature profiles. There are no significant changes in the distributions of either Tmax or Tmed histograms due to the small change in √ s, or to the distribution of the ratio Tmax/Tmed shown in [PITH_FU… view at source ↗
Figure 43
Figure 43. Figure 43: Impact parameter b histograms (left) and as a function of centrality (right) for 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC. We see that there is a similar magnitude of acoplanarity enhancement in both UU and AuAu collisions at a given Tmax and ε2, but UU can achieve a simultaneous combination of both higher Tmax and higher ε2 than AuAu because of the deformation. As a function of all three… view at source ↗
Figure 43
Figure 43. Figure 43: Impact parameter b histograms (left) and as a function of centrality (right) for 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC. if we zoom in to central and ultracentral collisions b → 0, then the impact parameter does not play a role, and one can clearly see the effect of the deformation: UU achieves larger ε2 than AuAu in these bins, as shown in the bottom panels of [PITH_FULL_IMAGE:figures… view at source ↗
Figure 44
Figure 44. Figure 44: Histograms of the eccentricity ε2 of 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC with all impact parameter b (top), b = 0 − 5 (bottom left), and b = 0 − 3 (bottom right). cut, the mean acoplanarity for both systems goes up, in accordance with sub-eikonal scaling of drift. Cutting on pT increases the overall magnitude of the effect but does not change the agreement or margin of separation bet… view at source ↗
Figure 44
Figure 44. Figure 44: Histograms of the eccentricity ε2 of 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC with all impact parameter b (top), b = 0 − 5 (bottom left), and b = 0 − 3 (bottom right). phase, and in the late time “un-hydrodynamic” phase. It will be interesting to study the dependence on these detailed quantities in the future, rather than the simple estimate RRMS. We see that there is a similar magnitude … view at source ↗
Figure 45
Figure 45. Figure 45: Comparison of binned histograms of acoplanarity enhancement of 193 GeV UU view at source ↗
Figure 45
Figure 45. Figure 45: Comparison of binned histograms of acoplanarity enhancement of 193 GeV UU [PITH_FULL_IMAGE:figures/full_fig_p100_45.png] view at source ↗
Figure 46
Figure 46. Figure 46: Mean acoplanarity as a function of ε2 (top left), estimated RRMS (top right), and event Tmax (bottom) for 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC. compared to 450 MeV in AuAu, increasing the maximum acoplanarity from ∼ 0.25 to ∼ 0.37. Similarly, the 0.4 ≤ ε2 ≤ 0.6 bin expands its reach from 480 MeV in AuAu to 520 MeV in UU. Interestingly, while the 0.2 ≤ ε2 ≤ 0.4 bin remains unchanged at… view at source ↗
Figure 46
Figure 46. Figure 46: Mean acoplanarity as a function of ε2 (top left), estimated RRMS (top right), and event Tmax (bottom) for 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC. At fixed RRMS, AuAu collisions have slightly higher pT , leading to a slight reduction in acoplanarity compared to UU. However, at fixed Tmax, the agreement is even more precise, despite the fact that UU still has a slightly larger radius and … view at source ↗
Figure 47
Figure 47. Figure 47: Mean acoplanarity as a function of ε2 (top left), estimated RRMS (top right), and event Tmax for all pT (solid curves) vs pT < 10GeV (dashed curves) for 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC. Tmax in both systems, with a slope of order ∼ 10−3 rad / MeV across most centralities. However, in AuAu, the highest temperatures in each ε2 bin trigger a drastic decrease in this slope; for examp… view at source ↗
Figure 47
Figure 47. Figure 47: Mean acoplanarity as a function of ε2 (top left), estimated RRMS (top right), and event Tmax for all pT (solid curves) vs pT < 10GeV (dashed curves) for 193 GeV UU collisions and 200 GeV AuAu collisions at RHIC. differences in the pT spectra are not significant and that the small excess of UU is due to other factors which will be interesting to explore further. As shown in [PITH_FULL_IMAGE:figures/full_f… view at source ↗
Figure 48
Figure 48. Figure 48: Mean acoplanarity enhancement for 193 GeV UU (left) and 200 GeV AuAu (right) view at source ↗
Figure 48
Figure 48. Figure 48: Mean acoplanarity enhancement for 193 GeV UU (left) and 200 GeV AuAu (right) [PITH_FULL_IMAGE:figures/full_fig_p103_48.png] view at source ↗
Figure 49
Figure 49. Figure 49: Histogram of acoplanarity enhancement of 193 GeV UU (left) and 200 GeV view at source ↗
Figure 49
Figure 49. Figure 49: Histogram of acoplanarity enhancement of 193 GeV UU (left) and 200 GeV [PITH_FULL_IMAGE:figures/full_fig_p104_49.png] view at source ↗
Figure 50
Figure 50. Figure 50: Binned histograms of v2 for 193 GeV UU (left) and 200 GeV AuAu (right). This figure represents approximately 2500 events per data set. 3.3.3 Jet Observables: Elliptic Flow As illustrated in view at source ↗
Figure 51
Figure 51. Figure 51: Simplified Model of Electrons in Dielectrics view at source ↗
Figure 52
Figure 52. Figure 52: Refractive Index and Absorption Coefficients in the vicinity of UV resonance view at source ↗
Figure 53
Figure 53. Figure 53: Comparison of Energy loss (Left) and Range (Right) of a 100 MeV Muon Vs 100 view at source ↗
Figure 54
Figure 54. Figure 54: Comparison of Total Cherenkov Yield: Muons vs Protons (Different K.E.s). view at source ↗
Figure 55
Figure 55. Figure 55: Muon’s instantaneous AD for different K.E.s using HO model fit (left) and the view at source ↗
Figure 56
Figure 56. Figure 56: Muon’s instantaneous AD for different K.E.s using the approx. fit (left) and the view at source ↗
Figure 57
Figure 57. Figure 57: Muon’s total integrated AD for different K.E.s using HO fit (left) and the asso view at source ↗
Figure 58
Figure 58. Figure 58: Muon’s total integrated AD for different K.E.s using the approx. fit (left) and view at source ↗
read the original abstract

This dissertation presents a unified framework for medium characterization with hard probes spanning from Cherenkov light in quantum electrodynamics (QED) to jet drift in quantum chromodynamics (QCD). We first develop a dispersive fit to the refractive index $n(\lambda)$ of liquid argon (LAr) by incorporating anomalous dispersion at the 106.6 nm resonance for the first time. We show that the angular distribution of Cherenkov radiation is highly sensitive to the peak of the refractive index and contributes a significant excess over isotropic scintillation in certain angular bins. This work is important for precision Particle Identification (PID) for experiments like DUNE and CCM. Transitioning to high-energy nuclear collisions, we utilize ``jet drift'' -- the flow-induced deflection of partons -- as a tomographic probe of the Quark-Gluon Plasma (QGP). Using the Anisotropic Parton Evolution (APE) Monte Carlo simulation across various collision systems (PbPb, AuAu, and UU), we disentangle how the jet modification depends on medium size, temperature, and geometry. We show that jet drift exhibits distinct systematics in observables like the elliptic flow ($v_2$) and dihadron acoplanarity ($\Delta\phi$), which helps disentangle it from conventional energy loss. Together, these studies demonstrate how the angular and kinematic signatures of hard probes revolutionize our ability to resolve the fundamental properties of matter.

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 dissertation presents a unified framework for medium characterization with hard probes, from QED Cherenkov radiation in liquid argon to QCD jet drift in the QGP. The QED section develops a dispersive fit to n(λ) incorporating anomalous dispersion at the 106.6 nm resonance and demonstrates angular sensitivity of Cherenkov light to the refractive-index peak, with relevance to PID in DUNE and CCM. The QCD section employs the APE Monte Carlo across PbPb, AuAu, and UU systems to argue that jet drift produces distinct systematics in v2 and dihadron acoplanarity (Δφ) that disentangle it from conventional energy loss, thereby providing tomographic access to medium size, temperature, and geometry.

Significance. If the central claims hold, the QED component supplies a concrete improvement for scintillation-Cherenkov separation in neutrino detectors, while the QCD component offers a new class of flow-sensitive jet observables for QGP tomography. The work is notable for attempting a cross-domain unification and for using multiple collision systems, but the significance is tempered by the absence of demonstrated robustness in the Monte Carlo results.

major comments (1)
  1. [QCD results section (APE Monte Carlo analysis)] QCD results section (APE Monte Carlo analysis): the assertion that jet drift produces distinct systematics in v2 and Δφ that disentangle it from energy loss is load-bearing for the tomographic claim, yet the manuscript reports no systematic variations of medium geometry, initial temperature distributions, or boost-invariance assumptions inside APE. Without these checks the observed signatures could be artifacts of the default parametrization rather than general features.
minor comments (1)
  1. [Abstract] Abstract: the phrasing 'we disentangle how the jet modification depends on medium size, temperature, and geometry' should be clarified to indicate whether this dependence is extracted from explicit parameter scans or inferred from the default runs.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments on our manuscript arXiv:2605.04393. We address the major comment on the QCD Monte Carlo analysis below and outline the changes we will implement.

read point-by-point responses

  1. Referee: [QCD results section (APE Monte Carlo analysis)] QCD results section (APE Monte Carlo analysis): the assertion that jet drift produces distinct systematics in v2 and Δφ that disentangle it from energy loss is load-bearing for the tomographic claim, yet the manuscript reports no systematic variations of medium geometry, initial temperature distributions, or boost-invariance assumptions inside APE. Without these checks the observed signatures could be artifacts of the default parametrization rather than general features.

    Authors: We agree that explicit systematic variations are required to substantiate the claim that the observed effects in v2 and Δφ are general rather than artifacts of the default APE setup. The current results rely on the default parametrization across PbPb, AuAu, and UU systems, which already sample different geometries and sizes, but do not include dedicated scans. In the revised manuscript we will add new Monte Carlo runs varying the initial geometry (e.g., eccentricity profiles), temperature distributions, and, where computationally feasible, relaxing boost invariance. These additions will directly test the robustness of the jet-drift signatures and strengthen the tomographic interpretation. revision: yes

Circularity Check

1 steps flagged

APE Monte Carlo jet drift signatures reduce to tuned simulation inputs

specific steps
  1. fitted input called prediction [Abstract]
    "Using the Anisotropic Parton Evolution (APE) Monte Carlo simulation across various collision systems (PbPb, AuAu, and UU), we disentangle how the jet modification depends on medium size, temperature, and geometry. We show that jet drift exhibits distinct systematics in observables like the elliptic flow (v2) and dihadron acoplanarity (Δφ), which helps disentangle it from conventional energy loss."

    Jet drift observables v2 and Δφ are generated inside the APE simulation whose parameters are tuned to medium properties; the claimed distinction from energy loss is therefore forced by the simulation inputs rather than emerging as an independent prediction.

full rationale

The QED Cherenkov analysis uses an independent dispersive fit to n(λ) with no evident circularity. The QCD half claims that jet drift produces distinct v2 and Δφ systematics disentangling it from energy loss, demonstrated via APE MC runs. Because the simulation generates those observables from parameters tuned to medium properties, the claimed distinctions are not shown to survive variations in geometry or temperature profile and therefore reduce to the simulation's construction rather than independent predictions. This matches the fitted-input-called-prediction pattern at score 6; no self-citation load-bearing or self-definitional steps are present.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claims rest on the validity of standard QED/QCD frameworks, the accuracy of the chosen resonance parameters in the dispersive fit, and the fidelity of the APE Monte Carlo model for parton evolution in a flowing medium.

free parameters (1)
  • Dispersive fit parameters for refractive index n(λ)
    Parameters fitted to incorporate anomalous dispersion at the 106.6 nm resonance
axioms (1)
  • standard math Standard QED and QCD frameworks accurately describe Cherenkov radiation and parton evolution in a medium
    The work applies these established theories without re-deriving them

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