Pith. sign in

REVIEW 4 minor 140 references

Dark matter environments and safeguards for spacetime inference from horizon scale interferometry

T0 review · 0 major / 4 minor · reviewed 2026-08-02 · deepseek-v4-flash

Pith's one-line read A spacetime deformation should not be inferred from horizon-scale images until the data, the source model, and the numerical response have each passed their own validation gate.

desk verdict A careful negative result: the M87* tidal-charge inference stays closed under predeclared safeguards, and the response-convergence failure is strong enough to stand even if the data/covariance premise is questioned. read the letter →

arxiv 2607.13992 v3 pith:ICVJRA7S submitted 2026-07-15 gr-qc astro-ph.HE

classification gr-qcastro-ph.HE
keywords blackholespacetimeinferencetidalchargeM87*closurephasesamplitudesdarkmatterspikemodelvalidationnumericalconvergence
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper tries to establish a minimum standard for any claim that horizon-scale images reveal a departure from the Kerr spacetime: the data and covariance must be validated, the undeformed source must pass an absolute fit to real observations, and the tiny differential response to a metric deformation must converge independently of image resolution. Applying this standard to the 2017 M87* closure data with a frozen semi-analytic source and a rotating tidal-charge deformation, the paper finds that the source fails the adequacy test (global χ²/N between 1.687 and 1.758 versus a predeclared limit of 1.5, with the worst band at 2.022) and that the deformation response fails the convergence test, with the apparent signal direction flipping sign between resolutions. It therefore reports no posterior, no bound, and no detection, concluding that metric inference must remain closed. A reader should care because the result shows that a visually stable black-hole image and a statistically well-behaved likelihood are not enough: the much smaller signal produced by a metric deformation must pass its own validation.

What carries the argument

The central mechanism is a three-gate validation protocol. Gate 1 validates the data representation: an independent closure basis with covariance propagated linearly, plus three predeclared scenarios for the common-mode calibration floor (independent band, 50% common floor, fully common floor). Gate 2 is an absolute adequacy test of the frozen source: a χ²/N limit of 1.5 globally and 2.0 per night and band, fixed before the deformation is opened. Gate 3 is differential response convergence: comparing [I_N(q) − I_N(0)] across successive production resolutions (N = 192, 224, 256) with fixed screen-plane smoothing, rather than comparing the absolute images. The deformation itself is a rotating

What would settle it

Take the public 2017 M87* UVFITS data products, regenerate the Stokes-I closure quantities with an independent calibration and closure-covariance pipeline, and recompute the frozen Kerr fit; if the resulting global χ²/N drops below 1.5, the source-adequacy failure is an artifact of the released CSV representation. Alternatively, render the tidal-charge response at N = 512 with a smooth volumetric emissivity model; if the differential response converges under refinement and the real-data fit passes the predeclared gates, the paper's 'closed' verdict would be overturned on source or response gro

Watch

Extended reading notes

Core claim

On its own terms, the paper's discovery is the three-safeguard rule and its failure in the M87* case. With the source family frozen at Kerr (a/M = −0.94, i = 22°), the public 2017 closure data give reduced chi-square values of 1.7583, 1.7206, and 1.6873 for the three covariance scenarios, all above the predeclared global limit of 1.5; removing the most influential scan still leaves 1.6472. If the deformation is opened anyway, the residual projects strongly onto negative tidal charge at low resolution, but the sign reverses between N = 192 and N = 224. Direct image libraries at N = 192, 224, and 256 pass all ray-completion and Fourier checks yet fail the differential-response convergence gate

Load-bearing premise

The entire negative conclusion rests on the assumption that the eight public 2017 M87* Stokes-I CSV products, together with the closure covariance built from the official calibration floors, faithfully represent the measurement uncertainty; the paper verifies the byte-identity of those files but does not independently regenerate them from the raw UVFITS data, so a bias or under-estimate in that released covariance could mimic source inadequacy.

Editorial extensions

If this is right

  • No tidal-charge posterior, upper bound, Bayes factor, or detection threshold is supported by the 2017 public closure data with the frozen semi-analytic source; any such quantity would combine an inadequate mean model with an unstable numerical response.
  • Dark matter gravity at realistic M87* halo densities is a null control: even the intentionally optimistic enclosed mass fraction of 7.33×10⁻⁵ changes the normalized image and visibility by only about 2.65×10⁻⁶ and 4.9×10⁻⁷, far below the deformation signal.
  • A covariance-aware closure likelihood can pass extensive synthetic tests while the source model still fails on real data, so passing synthetic validation alone does not justify opening a metric parameter.
  • Absolute image convergence is not metric-response convergence; the Kerr image can look stable to 0.45% while the q-response changes by 49%, so visual stability cannot certify a small-deformation inference.
  • Removing the single most influential scan cannot repair the adequacy failure (χ²/N remains 1.647 above 1.5), meaning the mismatch is spread across multiple scans rather than a single outlier.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The three-safeguard protocol is a template that likely applies to any small spacetime-deformation parameter and any sparse interferometric dataset, not just tidal charge and the 2017 M87* observations; adopting it would make future black-hole imaging claims more falsifiable.
  • The resolution-dependent sign flip of the deformation score implies that some apparent deformation 'signals' in horizon-scale imaging could be purely numerical artifacts; re-testing published constraints with explicit response-convergence gates would reveal whether any survive.
  • Because even the most optimistic dark-matter spike is a null control, the structured closure mismatch is probably a feature of the source or calibration model rather than the spacetime; investing in volumetric radiative-transfer source models is the more direct route to meaningful metric tests.
  • The paper's refusal to quote a numeric bound is itself a concrete claim: if an independent analysis using a volumetric source and converged response produced a stable q posterior, it would indicate the frozen semi-analytic source was the blocking element, not the safeguard framework.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

0 major / 4 minor

Summary. The paper proposes a three-safeguard protocol for horizon-scale metric inference — data/covariance validation, absolute source adequacy, and independent numerical convergence of the differential metric response — and applies it to the 2017 M87* public closure data with a frozen semi-analytic Kerr source and a rotating tidal-charge deformation. It first shows that several explicit dark matter profiles, including an optimistic adiabatic spike, produce negligible image and visibility changes at the 10M scale. It then builds an independent closure-phase/log-closure-amplitude likelihood with high/low covariance and three fixed common-floor scenarios, validates the statistical kernel on 5000 synthetic Kerr draws, and finds that the real data fail a predeclared global adequacy gate (chi2/N = 1.7583, 1.7206, 1.6873 for C0/C50/C100 versus the 1.5 limit). When the deformation is opened despite the failure, the residual projects strongly onto tidal charge but the preferred sign flips between N=192 and N=224. Direct ray-traced libraries at N=192, 224, and 256 fail fixed response-convergence gates, with the finite-q response changing by ~20–62% in Delta-chi2 and ~75% in the projected response vector between resolutions. The paper reports no posterior, bound, or detection threshold and concludes that metric inference must remain closed for this source/data combination.

Significance. If the results hold, the paper makes a useful methodological contribution: it demonstrates, with explicit predeclared gates and careful controls, that absolute image convergence does not imply convergence of the much smaller differential metric response. The analysis is unusually disciplined: the source is frozen at q=0, the adequacy limits are fixed before the deformation is opened, synthetic draws validate the likelihood kernel, the eight CSV inputs are byte-verified against the official release, completed-ray and FFT/direct-sum checks are reported, and a clear permitted/prohibited inference table is provided. The central negative conclusion is robust to the main data-representation caveat because the differential response safeguard fails independently of the data: even under a perfect data/covariance model, the finite-q response changes by far more than the predeclared gates at every tested smoothing width. The paper is appropriately scoped to the adopted frozen semi-analytic source and does not overclaim about GRMHD-based models or about tidal charge itself. This is a valuable negative control for EHT-era spacetime tests.

minor comments (4)
  1. [III.A / III.B] The source-family parameters p1, p2, R, r_J, and the eight nuisance-parameter bounds are described only schematically and are not tabulated. These values are needed to reproduce the frozen-source claim from the text. The code-on-request policy is a process weakness; please include a table of the frozen parameters and, preferably, a public repository with the analysis codes and derived numerical tables.
  2. [VI.B / Fig. 5] The single-scan deletion test is performed without refitting the nuisance parameters. Consequently, the quoted residual chi2/N = 1.6472 is an upper bound on the minimum achievable after the data change; it does not strictly exclude the possibility that a one-scan deletion plus refit could pass the gate. The full-data verdict is unaffected, but the sentence 'No single-scan deletion repairs the model' should be qualified to state explicitly that no deletion repairs the model under the frozen, non-refit protocol, or be accompanied by a refitted-deletion check.
  3. [IV.A / IX.A] The distinction between byte-identity verification and independent regeneration of the CSV products from UVFITS is disclosed, but it deserves more prominence because it bounds the source-adequacy conclusion. If the official CSV products or the assumed covariance scenarios contain unmodeled calibration systematics, the chi2/N excess could partly reside in the data representation rather than in the source model. The metric-response failure remains independent of this caveat, so the final closure conclusion is not affected.
  4. [II.C / Table I] The label 'matched Einasto' and the choice r_-2 = r0 need a sentence of clarification so the reader understands this is an extrapolated comparison, not an independent inner-halo fit. Also, the 'old extreme proxy' M_DM(<10M)/M_BH = 0.025 is used as a stress test; citing the specific earlier benchmark and explaining why it is superseded would improve context.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the paper's negative conclusion rests on predeclared safeguards and an independent convergence failure, not on fitted inputs or self-citations.

full rationale

The paper's load-bearing derivation chain is: freeze the source model at q=0, construct an independent closure likelihood with predeclared adequacy limits, test that frozen Kerr source against real data, find it fails the predeclared chi2/N global limit of 1.5, and then independently test the differential tidal-charge response for numerical convergence and find it fails at N=192/224/256. None of these steps defines the target quantity in terms of its own inputs. The source is explicitly frozen before the deformation is opened (Sec. III A: 'The source family was selected and refined only at q=0'), the adequacy limits are fixed before the result is seen (Sec. IV C: 'The limits were fixed before the deformation was opened'), and the convergence gates are fixed before the final audit (Sec. VIII A: 'the production convergence limits were fixed before the final audit'). The synthetic Kerr tests are self-consistency checks of the statistical kernel and are explicitly distinguished from source adequacy (Sec. V: 'a correct statistical kernel does not imply that the source model is adequate'). The dark matter profiles are prior-predictive controls normalized to an external benchmark (Lacroix, Boehm, Silk), and the rendered upper-envelope control is directly compared to Kerr rather than fitted to the M87 data. No load-bearing self-citation appears in the reference list, and the paper does not invoke a uniqueness theorem or prior author result to forbid alternatives. The admitted limitations—CSV products not independently regenerated from UVFITS, and the compact source model not being a volumetric GRRT calculation—are explicitly disclosed and weaken external validity, but they do not make the derivation circular. The main conclusion is a negative empirical result based on predeclared gates and an independent numerical failure, so no construction-level circularity is present.

Assumptions & free parameters 7 free parameters · 7 assumptions · 0 invented entities

The central negative claim does not introduce new physical entities or a new metric; tidal charge is taken from braneworld literature and dark matter profiles from published benchmarks. The analysis does rely on hand-set thresholds, frozen source parameters, and adopted benchmark halo constants, which are listed above. No fitted quantity is recycled as a prediction, so circularity burden is low.

free parameters (7)
  • Eight nuisance parameters of compact+extended visibility model = not reported numerically (frozen bounds)
    Angular scale, compact PA, compact flux fraction, extended FWHM, axis ratio, extended PA, offset radius, offset PA. Refit within bounded ranges for each covariance scenario (Sec. III B); their fitted values determine the reported chi2.
  • Dual-cone/equatorial source shape parameters p1, p2, R, mixing r_J = not reported
    The radial profile J(r; R, p1, p2) and cone/equatorial mixing are part of the frozen source family (Sec. III A). Exact numerical values are not given, so an independent reproduction of the source requires contacting the author.
  • Spin and inclination = a/M = -0.94, i = 22 deg
    Frozen by hand at q=0 before the deformation was opened (Sec. III A). No independent calibration is provided; the source-family refinement used these values.
  • M87* halo benchmark parameters = rho0 = 2.5 GeV/cm^3, r0 = 20 kpc, gamma=1, alpha_gamma=0.1, alpha_E=0.18, spike radius ~220.45 pc, capture cutoff 4 R_s
    Adopted from the Lacroix-Boehm-Silk benchmark (Sec. II C). They set the enclosed mass for the dark-matter control. The conclusion is robust because an upper-envelope control was rendered, but these are literature inputs, not fitted here.
  • Covariance common-floor fraction = C0=0, C50=0.5, C100=1
    Three predeclared high/low-band correlation sensitivity cases (Sec. IV B). Not optimized against data, but the central adequacy verdict depends on all three failing the gate.
  • Adequacy thresholds = global chi2/N <= 1.5; night/band <= 2.0
    Fixed before opening the deformation (Sec. IV C). The conclusion 'source inadequate' is defined relative to these hand-set thresholds; a different threshold would change the verdict (Table IV).
  • Fixed screen-plane smoothing width = 0.125, 0.25, 0.50 (plus 1.0 and 3.0 in Fig. 8)
    Numerical regularization applied uniformly in the convergence audit (Sec. VIII C). It is not tuned to the data, but the response-convergence failure is evaluated at these values.
assumptions (7)
  • domain assumption The independent closure bases and linearly propagated covariances correctly represent the statistical content of the public closure data.
    Sec. IV A and App. B. The chi2 and all adequacy statements depend on this; synthetic tests are self-consistency checks, not independent proof.
  • domain assumption The eight public CSV products are faithful to the EHT 2017 UVFITS data.
    Sec. IV A: byte-identity with fresh downloads is verified, but the paper explicitly does not regenerate CSV from UVFITS (Sec. IX A, IX E).
  • domain assumption A radial mass function in the rotating Kerr-like metric is an adequate phenomenological optical control for dark matter near M87*.
    Sec. II B: the effective source has p_parallel = -rho and nonzero transverse stresses; the paper labels it a control, not an exact rotating halo solution. The DM-negligible conclusion rests on this control geometry.
  • domain assumption The frozen dual-cone/equatorial surface source is a representative undeformed M87* emission model for this test.
    Sec. III A: the model is compact and semi-analytic; the paper itself says it is not a volumetric GRRT calculation. The adequacy failure is conditional on this model family.
  • domain assumption The synthetic validation of the likelihood kernel transfers to real data only if the true noise model lies inside the C0/C50/C100 family.
    Sec. V and VI: the paper argues synthetic success does not imply real-data adequacy; the real-data verdict assumes the covariance scenarios bracket the true high/low-band correlation.
  • ad hoc to paper The fixed convergence gates (15% for Delta chi2, 10% for sigma(q), 25% at 90th percentile, median cosine >= 0.995) are appropriate criteria for response convergence.
    Sec. VIII A: thresholds were fixed before the final audit, but they are practical choices from CFD/verification practice, not derived from the data or from first principles.
  • standard math Null geodesic separability and the photon-region condition R=R'=0 hold for the adopted tidal-charge line element.
    Sec. II A: the Kerr-like separable form with Delta_q is standard; used only to define controlled optical comparisons.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Dark matter environments and safeguards for spacetime inference from horizon scale interferometry." pith.science (2026). https://pith.science/paper/ICVJRA7S

@misc{pith2026260713992,
  author       = {Pith},
  title        = {Pith review of: Dark matter environments and safeguards for spacetime inference from horizon scale interferometry},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/ICVJRA7S}},
  note         = {Machine review of arXiv:2607.13992}
}
abstract

Horizon scale interferometry can test a black hole spacetime only when the data, source model, and numerical response are reliable. We study this requirement with the public 2017 M87* closure data, a frozen semi analytic emission model, explicit dark matter controls, and a rotating tidal charge deformation. We normalize NFW and Einasto halos, an adiabatic spike, a capture suppressed spike, and a heated crest for M87*. Even the intentionally optimistic rendered case, $M_{\rm DM}(<10M)/M_{\rm BH}=7.33\times10^{-5}$, changes the normalized image and visibility by only about $2.65\times10^{-6}$ and $4.9\times10^{-7}$. We then build an independent closure phase and log closure amplitude likelihood with covariance and three fixed high/low band correlation cases. Synthetic Kerr tests recover the expected statistic, coverage, and false positive rate. The real data give $\chi^2/N=1.7583$, $1.7206$, and $1.6873$, above the global adequacy limit of $1.5$; the worst band gives $2.0216$. Removing the most influential scan still leaves $\chi^2/N=1.6472$. If tidal charge is allowed anyway, the residual projects strongly onto it, but the preferred direction changes sign between image resolutions. Direct libraries at $N=192$, 224, and 256 also fail the differential response convergence tests. At a smoothing width of $0.5M$, the Kerr image changes by about $0.45\%$ between $N=192$ and 224, while the tidal charge response changes by about $49\%$. We therefore report no posterior or bound. Spacetime inference should remain closed until the adopted data and covariance are validated, the undeformed source passes an absolute adequacy test, and the differential metric response converges independently of the image.

Figures

Figures reproduced from arXiv: 2607.13992 by the authors.

Figure 1
Figure 1. FIG. 1. The three safeguards used in this work. The official origin and byte identity of the eight adopted CSV inputs are verified, and the [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. FIG. 2. Explicit M87* dark matter controls. (a) Density profiles for the NFW and matched Einasto extrapolations, the deliberately optimistic [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. FIG. 3. Illustrative frozen-source images at [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figures from the paper (5 more)
Figure 4
Figure 4. Figure 4: FIG. 4. Statistical validation and absolute adequacy. (a) The synthetic Kerr draws give the expected mean normalized statistic. (b) The frozen [PITH_FULL_IMAGE:figures/full_fig_p008_4.png]
Figure 5
Figure 5. Figure 5: FIG. 5. Deformation-blind residual localization for C100. (a) Largest exact scan excesses. Labels give day, early/late segment, and scan number. [PITH_FULL_IMAGE:figures/full_fig_p009_5.png]
Figure 6
Figure 6. Figure 6: FIG. 6. False deformation diagnostics. (a) At [PITH_FULL_IMAGE:figures/full_fig_p011_6.png]
Figure 7
Figure 7. Figure 7: FIG. 7. Failure of the numerical response safeguard. (a) Direct C100 nuisance-projected separation at the production resolutions. The finite- [PITH_FULL_IMAGE:figures/full_fig_p011_7.png]
Figure 8
Figure 8. Figure 8: FIG. 8. Absolute image convergence is not metric response convergence. The Kerr images become very stable after modest fixed smoothing, [PITH_FULL_IMAGE:figures/full_fig_p012_8.png]

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

140 extracted references · 98 linked inside Pith

  1. [1]

    the data representation and covariance must be validated

  2. [2]

    the undeformed source and calibration model must pass an absolute adequacy test

  3. [3]

    A metric posterior is scientifically justified only when all three safeguards pass

    the differential response to the deformation must pass an independent convergence test. A metric posterior is scientifically justified only when all three safeguards pass. The rest of the paper is organized as follows. Section II defines the tidal charge branch and the M87* dark matter controls. Section III describes the frozen source model and direct ray...

  4. [4]

    Pass all

    Data and covariance 2. Astrophysical adequacy 3. Metric response Metric inferenceOfficial CSV byte identity Independent closure basis Joint high/low covariance Freeze the source at q = 0 Test global, night, band, and nuisance-boundary limits Direct q rendering Validate Fourier sampling Require differential convergence VALIDATED FOR ADOPTED CSV DATA FAIL F...

  5. [5]

    a covariance-aware closure likelihood can pass synthetic tests while the source model fails on real data

  6. [6]

    the mismatch can be distributed over several scans and cannot be repaired by deleting one point

  7. [7]

    opening a deformation can create a large formal score from source inadequacy

  8. [8]

    These points are relevant beyond tidal charge

    the direction of that score can reverse when the differential response is numerically refined. These points are relevant beyond tidal charge. They apply to any small deformation whose observable effect can be confused with source structure. C. Relation to current EHT inference The closure covariance and independent-degree problem is well known [29]. The E...

Show all 140 references
  1. [9]

    V. L. Fishet al., 1.3 mm Wavelength VLBI of Sagittarius A*: Detection of Time-variable Emission on Event Horizon Scales, Astrophys. J. Lett.727, L36 (2011), arXiv:1011.2472

  2. [10]

    S. S. Doelemanet al., Jet-Launching Structure Resolved Near the Supermassive Black Hole in M87, Science338, 355 (2012), arXiv:1210.6132

  3. [11]

    J.807, 150 (2015), arXiv:1505.03545

    K.Akiyamaetal.,230GHzVLBIObservationsofM87: Event-horizon-scaleStructureduringanEnhancedVery-high-energyGamma-Ray State in 2012, Astrophys. J.807, 150 (2015), arXiv:1505.03545

  4. [12]

    EventHorizonTelescopeCollaboration,K.Akiyama,etal.,FirstM87EventHorizonTelescopeResults.I.TheShadowoftheSupermassive Black Hole, Astrophys. J. Lett.875, L1 (2019), arXiv:1906.11238

  5. [13]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. II. Array and Instrumentation, Astrophys. J. Lett.875, L2 (2019), arXiv:1906.11239

  6. [14]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. III. Data Processing and Calibration, Astrophys. J. Lett.875, L3 (2019), arXiv:1906.11240

  7. [15]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole, Astrophys. J. Lett.875, L4 (2019), arXiv:1906.11241. 16

  8. [16]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. V. Physical Origin of the Asymmetric Ring, Astrophys. J. Lett.875, L5 (2019), arXiv:1906.11242

  9. [17]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. VI. The Shadow and Mass of the Central Black Hole, Astrophys. J. Lett.875, L6 (2019), arXiv:1906.11243

  10. [18]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. VII. Polarization of the Ring, Astrophys. J. Lett.910, L12 (2021), arXiv:2105.01169

  11. [19]

    Akiyama,et al., First M87 Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First M87 Event Horizon Telescope Results. VIII. Magnetic Field Structure near the Event Horizon, Astrophys. J. Lett.910, L13 (2021), arXiv:2105.01173

  12. [20]

    Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way, Astrophys. J. Lett.930, L12 (2022), arXiv:2311.08680

  13. [21]

    Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results. II. EHT and Multiwavelength Observations, Data Processing, and Calibration, Astrophys. J. Lett.930, L13 (2022), arXiv:2311.08679

  14. [22]

    Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results. III. Imaging of the Galactic Center Supermassive Black Hole, Astrophys. J. Lett.930, L14 (2022), arXiv:2311.09479

  15. [23]

    Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results. IV. Variability, Morphology, and Black Hole Mass, Astrophys. J. Lett.930, L15 (2022), arXiv:2311.08697

  16. [24]

    EventHorizonTelescopeCollaboration,K.Akiyama,etal.,FirstSagittariusA*EventHorizonTelescopeResults.V.TestingAstrophysical Models of the Galactic Center Black Hole, Astrophys. J. Lett.930, L16 (2022), arXiv:2311.09478

  17. [25]

    Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results

    Event Horizon Telescope Collaboration, K. Akiyama,et al., First Sagittarius A* Event Horizon Telescope Results. VI. Testing the Black Hole Metric, Astrophys. J. Lett.930, L17 (2022), arXiv:2311.09484

  18. [26]

    Astrophys.681, A79 (2024)

    EventHorizonTelescopeCollaboration,K.Akiyama,etal.,ThepersistentshadowofthesupermassiveblackholeofM87.I.Observations, calibration, imaging, and analysis, Astron. Astrophys.681, A79 (2024)

  19. [27]

    Akiyama,et al., The persistent shadow of the supermassive black hole of M87

    Event Horizon Telescope Collaboration, K. Akiyama,et al., The persistent shadow of the supermassive black hole of M87. II. Model comparisons and theoretical interpretations, Astron. Astrophys.693, A265 (2025)

  20. [28]

    S. S. Doelemanet al., Studying Black Holes on Horizon Scales with VLBI Ground Arrays, Bull. Am. Astron. Soc.51, 256 (2019), arXiv:1909.01411

  21. [29]

    Haworth, M

    K. Haworth, M. D. Johnson,et al., Studying Black Holes on Horizon Scales with Space-VLBI, Bull. Am. Astron. Soc.51, 235 (2019), arXiv:1909.01405

  22. [30]

    S. S. Doelemanet al., Reference Array and Design Consideration for the Next-Generation Event Horizon Telescope, Galaxies11, 107 (2023), arXiv:2306.08787

  23. [31]

    M. D. Johnsonet al., Key Science Goals for the Next-Generation Event Horizon Telescope, Galaxies11, 61 (2023), arXiv:2304.11188

  24. [32]

    R. C. Jennison, A Phase Sensitive Interferometer Technique for the Measurement of the Fourier Transforms of Spatial Brightness Distributions of Small Angular Extent, Mon. Not. R. Astron. Soc.118, 276 (1958)

  25. [33]

    T. J. Cornwell and P. N. Wilkinson, A New Method for Making Maps with Unstable Radio Interferometers, Mon. Not. R. Astron. Soc.196, 1067 (1981)

  26. [34]

    T. J. Pearson and A. C. S. Readhead, Image Formation by Self-Calibration in Radio Astronomy, Annu. Rev. Astron. Astrophys.22, 97 (1984)

  27. [35]

    Narayan and R

    R. Narayan and R. Nityananda, Maximum Entropy Image Restoration in Astronomy, Annu. Rev. Astron. Astrophys.24, 127 (1986)

  28. [36]

    A. R. Thompson, J. M. Moran, and G. W. J. Swenson,Interferometry and Synthesis in Radio Astronomy, 3rd ed. (Springer, Cham, 2017)

  29. [37]

    J.894, 31 (2020), arXiv:1910.02062 [astro-ph.IM]

    L.Blackburn,D.W.Pesce,M.D.Johnson,M.Wielgus,A.A.Chael,P.Christian,andS.S.Doeleman,ClosureStatisticsinInterferometric Data, Astrophys. J.894, 31 (2020), arXiv:1910.02062 [astro-ph.IM]

  30. [38]

    A. A. Chael, M. D. Johnson, R. Narayan, S. S. Doeleman, J. F. C. Wardle, and K. L. Bouman, High-resolution Linear Polarimetric Imaging for the Event Horizon Telescope, Astrophys. J.829, 11 (2016), arXiv:1605.06156

  31. [39]

    A. A. Chael, K. L. Bouman, M. D. Johnson, and R. Narayan, Interferometric Imaging Directly with Closure Phases and Closure Amplitudes, Astrophys. J.857, 23 (2018), arXiv:1803.07088

  32. [40]

    Lockhart and S

    W. Lockhart and S. E. Gralla, How narrow is the M87* ring? I. The choice of closure likelihood function, Mon. Not. R. Astron. Soc.509, 3643 (2022), arXiv:2107.06948

  33. [41]

    Georgiev, P

    B. Georgiev, P. Tiede, S. D. von Fellenberg,et al., Locating the missing large-scale emission in the jet of M87* with short EHT baselines, arXiv e-prints , arXiv:2601.13356 (2026), arXiv:2601.13356 [astro-ph.HE]

  34. [42]

    A. E. Brodericket al., The Event Horizon of M87, Astrophys. J.820, 137 (2016), arXiv:1602.07701

  35. [43]

    Satapathyet al., The Variability of the Black Hole Image in M87 at the Dynamical Timescale, Astrophys

    K. Satapathyet al., The Variability of the Black Hole Image in M87 at the Dynamical Timescale, Astrophys. J.925, 13 (2022), arXiv:2111.01317

  36. [44]

    D.O.Chang,M.D.Johnson,andP.Tiede,AssessingtheRoleofIntrinsicVariabilityinBlackHoleParameterInferenceUsingMulti-epoch EHT Data, Astrophys. J. Lett.989, L1 (2025), arXiv:2504.05472

  37. [45]

    L. G. Fishbone and V. Moncrief, Relativistic Fluid Disks in Orbit around Kerr Black Holes, Astrophys. J.207, 962 (1976)

  38. [46]

    De Villiers and J

    J.-P. De Villiers and J. F. Hawley, A Numerical Method for General Relativistic Magnetohydrodynamics, Astrophys. J.589, 458 (2003), arXiv:astro-ph/0210518

  39. [47]

    C. F. Gammie, J. C. McKinney, and G. Toth, HARM: A numerical scheme for general relativistic magnetohydrodynamics, Astrophys. J. 589, 444 (2003), arXiv:astro-ph/0301509

  40. [48]

    J. C. McKinney and C. F. Gammie, A Measurement of the Electromagnetic Luminosity of a Kerr Black Hole, Astrophys. J.611, 977 (2004), arXiv:astro-ph/0404512

  41. [49]

    S. C. Noble, C. F. Gammie, J. C. McKinney, and L. Del Zanna, Primitive Variable Solvers for Conservative General Relativistic Magnetohydrodynamics, Astrophys. J.641, 626 (2006), arXiv:astro-ph/0512420. 17

  42. [50]

    Tchekhovskoy, R

    A. Tchekhovskoy, R. Narayan, and J. C. McKinney, Efficient Generation of Jets from Magnetically Arrested Accretion on a Rapidly Spinning Black Hole, Mon. Not. R. Astron. Soc.418, L79 (2011), arXiv:1108.0412

  43. [51]

    Dexter and E

    J. Dexter and E. Agol, A fast new public code for computing photon orbits in a Kerr spacetime, Astrophys. J.696, 1616 (2009), arXiv:0903.0620

  44. [52]

    J. C. Dolence, C. F. Gammie, M. Moscibrodzka, and P. K. Leung, grmonty: A Monte Carlo Code for Relativistic Radiative Transport, Astrophys. J. Suppl.184, 387 (2009), arXiv:0909.0708

  45. [53]

    Younsi, K

    Z. Younsi, K. Wu, and S. V. Fuerst, General Relativistic Radiative Transfer: Formulation and Emission from Structured Tori around Black Holes, Astron. Astrophys.545, A13 (2012), arXiv:1207.4234

  46. [54]

    F. H. Vincent, T. Paumard, E. Gourgoulhon, and G. Perrin, GYOTO: A New General Relativistic Ray-Tracing Code, Class. Quantum Grav. 28, 225011 (2011), arXiv:1109.4769

  47. [55]

    C.-k. Chan, D. Psaltis, and F. Ozel, GRay: A Massively Parallel GPU-Based Code for Ray Tracing in Relativistic Spacetimes, Astrophys. J.777, 13 (2013), arXiv:1303.5057

  48. [56]

    Moscibrodzka, H

    M. Moscibrodzka, H. Falcke, H. Shiokawa, and C. F. Gammie, Polarized radiative transfer in relativistic jets and accretion flows, Astron. Astrophys.586, A38 (2016), arXiv:1510.07243

  49. [57]

    Bronzwaer, J

    T. Bronzwaer, J. Davelaar, Z. Younsi, M. Moscibrodzka, H. Falcke, M. Kramer, and L. Rezzolla, RAPTOR. I. Time-dependent radiative transfer in arbitrary spacetimes, Astron. Astrophys.613, A2 (2018), arXiv:1801.10452

  50. [58]

    Chael, M

    A. Chael, M. Rowan, R. Narayan, M. Johnson, and L. Sironi, The role of electron heating physics in images and variability of the Galactic Center black hole Sagittarius A*, Mon. Not. R. Astron. Soc.478, 5209 (2018), arXiv:1804.06416

  51. [59]

    Porthet al., The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project, Astrophys

    O. Porthet al., The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project, Astrophys. J. Suppl.243, 26 (2019), arXiv:1904.04923

  52. [60]

    Goldet al., Verification of Radiative Transfer Schemes for the EHT, Astrophys

    R. Goldet al., Verification of Radiative Transfer Schemes for the EHT, Astrophys. J.897, 148 (2020), arXiv:2002.04273

  53. [61]

    Bronzwaer, Z

    T. Bronzwaer, Z. Younsi, J. Davelaar, and H. Falcke, RAPTOR. II. Polarized Radiative Transfer in Curved Spacetimes, Astron. Astrophys. 641, A126 (2020), arXiv:2007.03045

  54. [62]

    G. N. Wonget al., PATOKA: Simulating Electromagnetic Observables of Black Hole Accretion, Astrophys. J. Suppl.259, 64 (2022), arXiv:2202.11721

  55. [63]

    M. D. Johnsonet al., Universal interferometric signatures of a black hole’s photon ring, Sci. Adv.6, eaaz1310 (2020), arXiv:1907.04329

  56. [64]

    Himwich, M

    E. Himwich, M. D. Johnson, A. Lupsasca, and A. Strominger, Universal polarimetric signatures of the black hole photon ring, Phys. Rev. D101, 084020 (2020), arXiv:2001.08750

  57. [65]

    Desire, A

    T. Desire, A. Cárdenas-Avendaño, and A. Chael, Multifrequency Models of Black Hole Photon Rings from Low-luminosity Accretion Disks, The Astrophysical Journal980, 262 (2025)

  58. [66]

    Carter, Global Structure of the Kerr Family of Gravitational Fields, Phys

    B. Carter, Global Structure of the Kerr Family of Gravitational Fields, Phys. Rev.174, 1559 (1968)

  59. [67]

    J. M. Bardeen, Timelike and null geodesics in the Kerr metric, inBlack Holes, edited by C. DeWitt and B. S. DeWitt (Gordon and Breach, New York, 1973) pp. 215–239

  60. [68]

    Chandrasekhar,The Mathematical Theory of Black Holes(Oxford University Press, Oxford, 1983)

    S. Chandrasekhar,The Mathematical Theory of Black Holes(Oxford University Press, Oxford, 1983)

  61. [69]

    Falcke, F

    H. Falcke, F. Melia, and E. Agol, Viewing the Shadow of the Black Hole at the Galactic Center, Astrophys. J. Lett.528, L13 (2000), arXiv:astro-ph/9912263

  62. [70]

    Bozza, Gravitational lensing in the strong field limit, Physical Review D66, 103001 (2002), arXiv:gr-qc/0208075

    V. Bozza, Gravitational lensing in the strong field limit, Physical Review D66, 103001 (2002), arXiv:gr-qc/0208075

  63. [71]

    K.HiokiandK.-i.Maeda,MeasurementoftheKerrspinparameterbyobservationofacompactobject’sshadow,Phys.Rev.D80,024042 (2009), arXiv:0904.3575

  64. [72]

    Schneider, J

    P. Schneider, J. Ehlers, and E. E. Falco,Gravitational Lenses(Springer, Berlin, 1992)

  65. [73]

    A. O. Petters, H. Levine, and J. Wambsganss,Singularity Theory and Gravitational Lensing(Birkhäuser, Boston, 2001)

  66. [74]

    Grenzebach, V

    A. Grenzebach, V. Perlick, and C. Laemmerzahl, Photon regions and shadows of Kerr-Newman-NUT black holes with a cosmological constant, Phys. Rev. D89, 124004 (2014), arXiv:1403.5234

  67. [75]

    Grenzebach, V

    A. Grenzebach, V. Perlick, and C. Laemmerzahl, Photon regions and shadows of accelerated black holes, Int. J. Mod. Phys. D24, 1542024 (2015), arXiv:1503.03036

  68. [76]

    Johannsen and D

    T. Johannsen and D. Psaltis, Testing the No-Hair Theorem with Observations in the Electromagnetic Spectrum. II. Black Hole Images, Astrophys. J.718, 446 (2010), arXiv:1005.1931

  69. [77]

    Psaltis, Testing General Relativity with the Event Horizon Telescope, Gen

    D. Psaltis, Testing General Relativity with the Event Horizon Telescope, Gen. Relativ. Gravit.51, 137 (2019), arXiv:1806.09740

  70. [78]

    P. V. P. Cunha and C. A. R. Herdeiro, Shadows and Strong Gravitational Lensing: A Brief Review, Gen. Relativ. Gravit.50, 42 (2018), arXiv:1801.00860

  71. [79]

    S. E. Gralla and A. Lupsasca, Lensing by Kerr Black Holes, Phys. Rev. D101, 044031 (2020), arXiv:1910.12873

  72. [80]

    S.E.Gralla,A.Lupsasca,andD.P.Marrone,TheShapeoftheBlackHolePhotonRing: APreciseTestofStrong-FieldGeneralRelativity, Phys. Rev. D102, 124004 (2020), arXiv:2008.03879

  73. [81]

    Perlick and O

    V. Perlick and O. Y. Tsupko, Calculating black hole shadows: Review of analytical studies, Phys. Rep.947, 1 (2022), arXiv:2105.07101

  74. [82]

    Bambi, Testing Black Hole Candidates with Electromagnetic Radiation, Rev

    C. Bambi, Testing Black Hole Candidates with Electromagnetic Radiation, Rev. Mod. Phys.89, 025001 (2017), arXiv:1509.03884

  75. [83]

    Psaltiset al., Gravitational Test beyond the First Post-Newtonian Order with the Shadow of the M87 Black Hole, Phys

    D. Psaltiset al., Gravitational Test beyond the First Post-Newtonian Order with the Shadow of the M87 Black Hole, Phys. Rev. Lett.125, 141104 (2020), arXiv:2010.01055

  76. [84]

    Vagnozziet al., Horizon-scale tests of gravity theories and fundamental physics from the Event Horizon Telescope image of Sagittarius A*, Class

    S. Vagnozziet al., Horizon-scale tests of gravity theories and fundamental physics from the Event Horizon Telescope image of Sagittarius A*, Class. Quantum Grav.40, 165007 (2023), arXiv:2205.07787

  77. [85]

    Younsi, D

    Z. Younsi, D. Psaltis, and F. Ozel, Black Hole Images as Tests of General Relativity: Effects of Spacetime Geometry, Astrophys. J.942, 47 (2023), arXiv:2111.01752

  78. [86]

    Amarilla, E

    L. Amarilla, E. F. Eiroa, and G. Giribet, Shadow of a rotating black hole in a Randall-Sundrum brane world, Phys. Rev. D85, 064019 (2012), arXiv:1112.6349. 18

  79. [87]

    E. F. Eiroa and C. M. Sendra, Shadow cast by rotating braneworld black holes with a cosmological constant, Eur. Phys. J. C78, 91 (2018), arXiv:1711.08380

  80. [88]

    J. C. S. Neves, Constraining the tidal charge of brane black holes using their shadows, Eur. Phys. J. C80, 717 (2020), arXiv:2005.00483

  81. [89]

    Houet al., Black hole shadow of Sgr A* in dark matter halo, Phys

    Y. Houet al., Black hole shadow of Sgr A* in dark matter halo, Phys. Rev. D103, 064003 (2021), arXiv:2101.11992

  82. [90]

    Guo, E.-W

    S. Guo, E.-W. Liang, W.-H. Deng, Q.-Q. Jiang, Y. Liang, K. Lin, and L.-F. Li, Modeling the shadow and ring structures of rotating Hayward black holes under magnetic charge and accretion influences, Eur. Phys. J. C86, 784 (2026)

  83. [91]

    J. Einasto, On the Construction of a Composite Model for the Galaxy and on the Determination of the System of Galactic Parameters, Trudy Astrofizicheskogo Instituta Alma-Ata5, 87 (1965)

  84. [92]

    Hernquist, An Analytical Model for Spherical Galaxies and Bulges, Astrophys

    L. Hernquist, An Analytical Model for Spherical Galaxies and Bulges, Astrophys. J.356, 359 (1990)

  85. [93]

    J. F. Navarro, C. S. Frenk, and S. D. M. White, The Structure of Cold Dark Matter Halos, Astrophys. J.462, 563 (1996), arXiv:astro- ph/9508025

  86. [94]

    J. F. Navarro, C. S. Frenk, and S. D. M. White, A Universal Density Profile from Hierarchical Clustering, Astrophys. J.490, 493 (1997), arXiv:astro-ph/9611107

  87. [95]

    Moore, F

    B. Moore, F. Governato, T. Quinn, J. Stadel, and G. Lake, Resolving the Structure of Cold Dark Matter Halos, Astrophys. J. Lett.499, L5 (1998), arXiv:astro-ph/9709051

  88. [96]

    Burkert, The Structure of Dark Matter Halos in Dwarf Galaxies, Astrophys

    A. Burkert, The Structure of Dark Matter Halos in Dwarf Galaxies, Astrophys. J. Lett.447, L25 (1995), arXiv:astro-ph/9504041

  89. [97]

    Zhao, Analytical Models for Galactic Nuclei, Mon

    H. Zhao, Analytical Models for Galactic Nuclei, Mon. Not. R. Astron. Soc.278, 488 (1996), arXiv:astro-ph/9509122

  90. [98]

    Bertone, D

    G. Bertone, D. Hooper, and J. Silk, Particle dark matter: Evidence, candidates and constraints, Phys. Rep.405, 279 (2005), arXiv:hep- ph/0404175

  91. [99]

    Errani, J

    R. Errani, J. F. Navarro, J. Peñarrubia, B. Famaey, and R. Ibata, Dark matter halo cores and the tidal survival of Milky Way satellites, Mon. Not. R. Astron. Soc.519, 384 (2023), arXiv:2210.01131

  92. [100]

    Gondolo and J

    P. Gondolo and J. Silk, Dark Matter Annihilation at the Galactic Center, Phys. Rev. Lett.83, 1719 (1999), arXiv:astro-ph/9906391

  93. [101]

    Ullio, H

    P. Ullio, H. Zhao, and M. Kamionkowski, A Dark Matter Spike at the Galactic Center?, Phys. Rev. D64, 043504 (2001), arXiv:astro- ph/0101481

  94. [102]

    Merritt, M

    D. Merritt, M. Milosavljević, L. Verde, and R. Jimenez, Dark Matter Spikes and Annihilation Radiation from the Galactic Center, Phys. Rev. Lett.88, 191301 (2002), arXiv:astro-ph/0201376

  95. [103]

    Merritt, Evolution of the Dark Matter Distribution at the Galactic Center, Phys

    D. Merritt, Evolution of the Dark Matter Distribution at the Galactic Center, Phys. Rev. Lett.92, 201304 (2004), arXiv:astro-ph/0311594

  96. [104]

    Bertone and D

    G. Bertone and D. Merritt, Time-Dependent Models for Dark Matter at the Galactic Center, Phys. Rev. D72, 103502 (2005), arXiv:astro-ph/0501555

  97. [105]

    O. Y. Gnedin and J. R. Primack, Dark Matter Profile in the Galactic Center, Phys. Rev. Lett.93, 061302 (2004), arXiv:astro-ph/0308385

  98. [106]

    Merritt, S

    D. Merritt, S. Harfst, and G. Bertone, Collisionally Regenerated Dark Matter Structures in Galactic Nuclei, Phys. Rev. D75, 043517 (2007), arXiv:astro-ph/0610425

  99. [107]

    Sadeghian, F

    L. Sadeghian, F. Ferrer, and C. M. Will, Dark Matter Distributions around massive black holes: A general relativistic analysis, Phys. Rev. D88, 063522 (2013), arXiv:1305.2619

  100. [108]

    B. D. Fields, S. L. Shapiro, and J. Shelton, Galactic Center Gamma-Ray Excess from Dark Matter Annihilation: Is There a Black Hole Spike?, Phys. Rev. Lett.113, 151302 (2014), arXiv:1406.4856

  101. [109]

    Lacroix, C

    T. Lacroix, C. Boehm, and J. Silk, Ruling out thermal dark matter with a black hole induced spiky profile in the M87 galaxy, Phys. Rev. D 92, 043510 (2015), arXiv:1505.00785

  102. [110]

    Ferrer, A

    F. Ferrer, A. Medeiros da Rosa, and C. M. Will, Dark Matter Spikes in the Vicinity of Kerr Black Holes, Phys. Rev. D96, 083014 (2017), arXiv:1707.06302

  103. [111]

    Alvarez and H.-B

    G. Alvarez and H.-B. Yu, Density Spikes near Black Holes in Self-Interacting Dark Matter Halos and Indirect Detection Constraints, Phys. Rev. D104, 043013 (2021), arXiv:2012.15050

  104. [112]

    S. L. Shapiro and D. C. Heggie, Effect of Stars on the Dark Matter Spike around a Black Hole: A Tale of Two Treatments, Phys. Rev. D 106, 043018 (2022), arXiv:2209.08105

  105. [113]

    Bertone, Dark Matter, Black Holes, and Gravitational Waves, Nucl

    G. Bertone, Dark Matter, Black Holes, and Gravitational Waves, Nucl. Phys. B1003, 116487 (2024), arXiv:2404.11513

  106. [114]

    Jusufi, M

    K. Jusufi, M. Jamil, P. Salucci, T. Zhu, and S. Haroon, Black hole surrounded by a dark matter halo in the M87 galactic center and its identification with shadow images, Phys. Rev. D100, 044012 (2019), arXiv:1905.11803

  107. [115]

    Z. Xu, X. Hou, J. Gong, and C. Wang, Kerr Black Hole Surrounded by Perfect Fluid Dark Matter, Eur. Phys. J. C78, 513 (2018), arXiv:1803.00767

  108. [116]

    S.Haroon,K.Jusufi,andM.Jamil,ShadowandDeflectionAngleofRotatingBlackHolesinPerfectFluidDarkMatterwithaCosmological Constant, Eur. Phys. J. C79, 371 (2019), arXiv:1810.04103

  109. [117]

    Errehymy, S

    A. Errehymy, S. Hansraj, and C. Hansraj, Observational Limits on Einasto Dark Matter Parameters from Event Horizon Telescope Images of Sgr A* and M87*, arXiv e-prints , arXiv:2607.07752 (2026), accepted for publication in the Astrophysical Journal, arXiv:2607.07752 [gr-qc]

  110. [118]

    Randall and R

    L. Randall and R. Sundrum, A Large Mass Hierarchy from a Small Extra Dimension, Phys. Rev. Lett.83, 3370 (1999), arXiv:hep- ph/9905221

  111. [119]

    Randall and R

    L. Randall and R. Sundrum, An Alternative to Compactification, Phys. Rev. Lett.83, 4690 (1999), arXiv:hep-th/9906064

  112. [120]

    Shiromizu, K.-i

    T. Shiromizu, K.-i. Maeda, and M. Sasaki, The Einstein equations on the 3-brane world, Phys. Rev. D62, 024012 (2000), arXiv:gr- qc/9910076

  113. [121]

    Dadhich, R

    N. Dadhich, R. Maartens, P. Papadopoulos, and V. Rezania, Black holes on the brane, Phys. Lett. B487, 1 (2000), arXiv:hep-th/0003061

  114. [122]

    Kanti, Black Holes in Theories with Large Extra Dimensions: A Review, Int

    P. Kanti, Black Holes in Theories with Large Extra Dimensions: A Review, Int. J. Mod. Phys. A19, 4899 (2004), arXiv:hep-ph/0402168

  115. [123]

    Maartens and K

    R. Maartens and K. Koyama, Brane-world gravity, Living Rev. Relativity13, 5 (2010), arXiv:1004.3962

  116. [124]

    A. N. Aliev and A. E. Gumrukcuoglu, Charged rotating black holes on a 3-brane, Phys. Rev. D71, 104027 (2005), arXiv:hep-th/0502223

  117. [125]

    A. N. Aliev and P. Talazan, Gravitational Effects of Rotating Braneworld Black Holes, Phys. Rev. D80, 044023 (2009), arXiv:0906.1465. 19

  118. [126]

    Schee and Z

    J. Schee and Z. Stuchlik, Optical phenomena in the field of braneworld Kerr black holes, Int. J. Mod. Phys. D18, 983 (2009), arXiv:0810.4445

  119. [127]

    A. F. Zakharov, Constraints on tidal charge of the supermassive black hole at the Galactic Center with trajectories of bright stars, Universe 8, 141 (2022), arXiv:2108.01533

  120. [128]

    Chernoff, On the Distribution of the Likelihood Ratio, Ann

    H. Chernoff, On the Distribution of the Likelihood Ratio, Ann. Math. Stat.25, 573 (1954)

  121. [129]

    White, Maximum Likelihood Estimation of Misspecified Models, Econometrica50, 1 (1982)

    H. White, Maximum Likelihood Estimation of Misspecified Models, Econometrica50, 1 (1982)

  122. [130]

    Gelman, X.-L

    A. Gelman, X.-L. Meng, and H. Stern, Posterior Predictive Assessment of Model Fitness via Realized Discrepancies, Stat. Sin.6, 733 (1996)

  123. [131]

    M. J. Bayarri and J. O. Berger, P Values for Composite Null Models, J. Am. Stat. Assoc.95, 1127 (2000)

  124. [132]

    S. G. Self and K.-Y. Liang, Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions, J. Am. Stat. Assoc.82, 605 (1987)

  125. [133]

    Protassov, D

    R. Protassov, D. A. van Dyk, A. Connors, V. L. Kashyap, and A. Siemiginowska, Statistics: Handle with Care, Detecting Multiple Model Components with the Likelihood Ratio Test, Astrophys. J.571, 545 (2002), arXiv:astro-ph/0201547

  126. [134]

    Andrae, T

    R. Andrae, T. Schulze-Hartung, and P. Melchior, Dos and Don’ts of Reduced Chi-Squared, arXiv e-prints , arXiv:1012.3754 (2010), arXiv:1012.3754

  127. [135]

    M. C. Kennedy and A. O’Hagan, Bayesian Calibration of Computer Models, J. R. Stat. Soc. B63, 425 (2001)

  128. [136]

    B. J. K. Kleijn and A. W. van der Vaart, The Bernstein-von Mises Theorem under Misspecification, Electron. J. Stat.6, 354 (2012)

  129. [137]

    I. B. Celik, U. Ghia, P. J.Roache, C. J. Freitas, H. Coleman, and P. E.Raad, Procedure for Estimation and Reporting of UncertaintyDue to Discretization in CFD Applications, J. Fluids Eng.130, 078001 (2008)

  130. [138]

    C. J. Roy, Review of Code and Solution Verification Procedures for Computational Simulation, J. Comput. Phys.205, 131 (2005)

  131. [139]

    W. L. Oberkampf and C. J. Roy,Verification and Validation in Scientific Computing(Cambridge University Press, Cambridge, 2010)

  132. [140]

    Event Horizon Telescope Collaboration, First M87 EHT Results: Calibrated Data (2019), data product 2019-D01-01

Pith tools

Reviewed August 2, 2026 · model on record in the stance chip above.