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REVIEW 2 major objections 6 minor 115 references

A search of eight months of gravitational-wave data finds no continuous signal from any of 15 supernova remnants, setting the tightest wide-band strain limits yet for these sources.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · deepseek-v4-flash

2026-08-02 17:21 UTC pith:5JTGNBRH

load-bearing objection A solid, new upper-limit set from LVK O4a data, with a real SHV coverage inconsistency that should be fixed before publication. the 2 major comments →

arxiv 2603.25808 v2 pith:5JTGNBRH submitted 2026-03-26 gr-qc astro-ph.HE

Searches for Continuous Gravitational Waves from Supernova Remnants in the first part of the LIGO-Virgo-KAGRA Fourth Observing run

The LIGO Scientific Collaboration , the Virgo Collaboration , the KAGRA Collaboration , A. G. Abac , I. Abouelfettouh , F. Acernese , K. Ackley , C. Adamcewicz
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S. Adhicary D. Adhikari N. Adhikari R. X. Adhikari V. K. Adkins S. Afroz A. Agapito D. Agarwal M. Agathos N. Aggarwal S. Aggarwal O. D. Aguiar I.-L. Ahrend L. Aiello A. Ain P. Ajith T. Akutsu S. Albanesi W. Ali S. Al-Kershi C. All\'en\'e A. Allocca S. Al-Shammari P. A. Altin S. Alvarez-Lopez W. Amar O. Amarasinghe A. Amato F. Amicucci C. Amra A. Ananyeva S. B. Anderson W. G. Anderson M. Andia M. Ando M. Andr\'es-Carcasona T. Andri\'c J. Anglin S. Ansoldi J. M. Antelis S. Antier M. Aoumi E. Z. Appavuravther S. Appert S. K. Apple K. Arai A. Araya M. C. Araya M. Arca Sedda J. S. Areeda N. Aritomi F. Armato S. Armstrong N. Arnaud M. Arogeti S. M. Aronson G. Ashton Y. Aso L. Asprea M. Assiduo S. Assis de Souza Melo S. M. Aston P. Astone F. Attadio F. Aubin K. AultONeal G. Avallone E. A. Avila S. Babak C. Badger S. Bae S. Bagnasco L. Baiotti R. Bajpai T. Baka A. M. Baker K. A. Baker T. Baker G. Baldi N. Baldicchi M. Ball G. Ballardin S. W. Ballmer S. Banagiri B. Banerjee D. Bankar T. M. 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Bonnand A. Borchers S. Borhanian V. Boschi S. Bose V. Bossilkov Y. Bothra A. Boudon L. Bourg M. Boyle A. Bozzi C. Bradaschia P. R. Brady A. Branch M. Branchesi I. Braun T. Briant A. Brillet M. Brinkmann P. Brockill E. Brockmueller A. F. Brooks B. C. Brown D. D. Brown M. L. Brozzetti S. Brunett G. Bruno R. Bruntz J. Bryant Y. Bu F. Bucci J. Buchanan O. Bulashenko T. Bulik H. J. Bulten A. Buonanno K. Burtnyk R. Buscicchio D. Buskulic C. Buy R. L. Byer G. S. Cabourn Davies R. Cabrita V. C\'aceres-Barbosa L. Cadonati G. Cagnoli C. Cahillane A. Calafat T. A. Callister E. Calloni S. R. Callos G. Caneva Santoro K. C. Cannon H. Cao L. A. Capistran E. Capocasa E. Capote G. Capurri G. Carapella F. Carbognani M. Carlassara J. B. Carlin T. K. Carlson M. F. Carney M. Carpinelli G. Carrillo J. J. Carter G. Carullo A. Casallas-Lagos J. Casanueva Diaz C. Casentini S. Y. Castro-Lucas S. Caudill M. Cavagli\`a R. Cavalieri A. Ceja G. Cella P. Cerd\'a-Dur\'an E. Cesarini N. Chabbra W. Chaibi A. 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Shoemaker R. W. Short S. ShyamSundar A. Sider H. Siegel D. Sigg L. Silenzi L. Silvestri M. Simmonds L. P. Singer Amitesh Singh Anika Singh D. Singh N. Singh S. Singh A. M. Sintes V. Sipala V. Skliris B. J. J. Slagmolen D. A. Slater T. J. Slaven-Blair J. Smetana J. R. Smith L. Smith R. J. E. Smith W. J. Smith S. Soares de Albuquerque Filho M. Soares-Santos K. Somiya I. Song S. Soni V. Sordini F. Sorrentino H. Sotani F. Spada V. Spagnuolo A. P. Spencer P. Spinicelli A. K. Srivastava F. Stachurski C. J. Stark D. A. Steer N. Steinle J. Steinlechner S. Steinlechner N. Stergioulas P. Stevens M. StPierre M. D. Strong A. Strunk A. L. Stuver M. Suchenek S. Sudhagar Y. Sudo N. Sueltmann L. Suleiman K. D. Sullivan J. Sun L. Sun S. Sunil J. Suresh B. J. Sutton P. J. Sutton K. Suzuki M. Suzuki B. L. Swinkels A. Syx M. J. Szczepa\'nczyk P. Szewczyk M. Tacca H. Tagoshi K. Takada H. Takahashi R. Takahashi A. Takamori S. Takano H. Takeda K. Takeshita I. Takimoto Schmiegelow M. Takou-Ayaoh C. Talbot M. Tamaki N. Tamanini D. Tanabe K. Tanaka S. J. Tanaka S. Tanioka D. B. Tanner W. Tanner L. Tao R. D. Tapia E. N. Tapia San Mart\'in C. Taranto A. Taruya J. D. Tasson J. G. Tau D. Tellez R. Tenorio H. Themann A. Theodoropoulos M. P. Thirugnanasambandam L. M. Thomas M. Thomas P. Thomas J. E. Thompson S. R. Thondapu K. A. Thorne E. Thrane J. Tissino A. Tiwari Pawan Tiwari Praveer Tiwari S. Tiwari V. Tiwari M. R. Todd M. Toffano A. M. Toivonen K. Toland A. E. Tolley T. Tomaru V. Tommasini T. Tomura H. Tong C. Tong-Yu A. Torres-Forn\'e C. I. Torrie I. Tosta e Melo E. Tournefier M. Trad Nery K. Tran A. Trapananti R. Travaglini F. Travasso G. Traylor M. Trevor M. C. Tringali A. Tripathee G. Troian A. Trovato L. Trozzo R. J. Trudeau T. Tsang S. Tsuchida L. Tsukada K. Turbang M. Turconi C. Turski H. Ubach T. Uchiyama R. P. Udall T. Uehara K. Ueno V. Undheim L. E. Uronen T. Ushiba M. Vacatello H. Vahlbruch N. Vaidya G. Vajente A. Vajpeyi J. Valencia M. Valentini S. A. Vallejo-Pe\~na S. Vallero V. Valsan M. van Dael E. Van den Bossche J. F. J. van den Brand C. Van Den Broeck M. van der Sluys A. Van de Walle J. van Dongen K. Vandra M. VanDyke H. van Haevermaet J. V. van Heijningen P. Van Hove J. Vanier M. VanKeuren J. Vanosky N. van Remortel M. Vardaro A. F. Vargas V. Varma A. N. Vazquez A. Vecchio G. Vedovato J. Veitch P. J. Veitch S. Venikoudis R. C. Venterea P. Verdier M. Vereecken D. Verkindt B. Verma Y. Verma S. M. Vermeulen F. Vetrano A. Veutro A. Vicer\'e S. Vidyant A. D. Viets A. Vijaykumar A. Vilkha N. Villanueva Espinosa V. Villa-Ortega E. T. Vincent J.-Y. Vinet S. Viret S. Vitale H. Vocca D. Voigt E. R. G. von Reis J. S. A. von Wrangel W. E. Vossius L. Vujeva S. P. Vyatchanin J. Wack L. E. Wade M. Wade K. J. Wagner L. Wallace E. J. Wang H. Wang J. Z. Wang W. H. Wang Y. F. Wang G. Waratkar J. Warner M. Was T. Washimi N. Y. Washington D. Watarai B. Weaver S. A. Webster N. L. Weickhardt M. Weinert A. J. Weinstein R. Weiss L. Wen K. Wette J. T. Whelan B. F. Whiting C. Whittle E. G. Wickens D. Wilken A. T. Wilkin B. M. Williams D. Williams M. J. Williams N. S. Williams J. L. Willis B. Willke M. Wils L. Wilson C. W. Winborn J. Winterflood C. C. Wipf G. Woan J. Woehler N. E. Wolfe H. T. Wong I. C. F. Wong K. Wong T. Wouters J. L. Wright M. Wright B. Wu C. Wu D. S. Wu H. Wu K. Wu Q. Wu Y. Wu Z. Wu E. Wuchner D. M. Wysocki V. A. Xu Y. Xu N. Yadav H. Yamamoto K. Yamamoto T. S. Yamamoto T. Yamamoto R. Yamazaki T. Yan K. Z. Yang Y. Yang Z. Yarbrough J. Yebana S.-W. Yeh A. B. Yelikar X. Yin J. Yokoyama T. Yokozawa S. Yuan H. Yuzurihara M. Zanolin M. Zeeshan T. Zelenova J.-P. Zendri M. Zeoli M. Zerrad M. Zevin L. Zhang N. Zhang R. Zhang T. Zhang C. Zhao Yue Zhao Yuhang Zhao Z.-C. Zhao Y. Zheng H. Zhong H. Zhou H. O. Zhu Z.-H. Zhu A. B. Zimmerman L. Zimmermann M. E. Zucker J. Zweizig
This is my paper
classification gr-qc astro-ph.HE PACS 04.30.-w04.80.Nn95.85.Sz97.60.Jd
keywords continuous gravitational wavessupernova remnantsneutron starsupper limitsellipticityr-modesdirected searchesO4 observing run
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

This paper tries to establish whether young neutron stars hidden inside nearby supernova remnants are emitting continuous, nearly monochromatic gravitational waves, and if not, how faint that emission must be. Combining five complementary search methods over eight months of data from the latest observing run, it finds no evidence of a signal from any of 15 remnants. The 95% confidence upper limits on intrinsic strain reach about 4×10⁻²⁶ near 300 Hz for Vela Jr., and translate into constraints on neutron-star deformation (ellipticity below about 10⁻⁷ at high frequencies) and r-mode amplitudes (below about 10⁻⁵). If correct, any neutron star in these remnants is either spinning down mainly by non-gravitational processes, or is far more symmetric than theoretical maximums allow.

Core claim

No evidence of a continuous gravitational-wave signal is found from any of the 15 targeted supernova remnants. The collaboration reports 95% confidence-level upper limits on the intrinsic strain amplitude, with the most stringent constraint reaching about 4×10⁻²⁶ near 300 Hz for the nearby remnant G266.2−1.2 (Vela Jr.). Converting these strain limits into astrophysical terms, the ellipticity of a putative neutron star in Vela Jr. is constrained below about 10⁻⁷ and the r-mode amplitude below about 10⁻⁵ at frequencies above 400 Hz. The paper characterizes these results as the most sensitive wide-band directed searches for continuous gravitational waves from supernova remnants to date.

What carries the argument

The central machinery is a five-pipeline ensemble: a frequency-Hough transform method (Band-Sampled-Data), a template-based matched-filter search (Weave), two hidden-Markov tracking schemes (single- and dual-harmonic Viterbi), and a cross-correlation radiometer (PyStoch). They share a power-law spin-down signal model with braking index n in [2,7] and convert null results into astrophysical bounds through the strain-to-ellipticity and strain-to-r-mode relations. The age-based spin-down limit provides the reference scale against which the sensitivity of each pipeline is judged.

Load-bearing premise

The search assumes that none of the 15 target neutron stars glitched or followed an unmodeled spin evolution during the eight observing months, so that any real signal would remain on one of the searched spin-down paths.

What would settle it

Observe any glitch in the known compact objects of these remnants during the O4a window (May 2023 to January 2024), or run the same pipelines with a phase model that allows glitches and braking indices outside 2–7 and recover an injected signal; either result would show the reported limits do not cover all plausible signals.

Watch this falsifier. Get emailed when new claim-graph text bears on it.

If this is right

  • Any continuous gravitational wave emitted by the 15 remnants during the analyzed months has a strain below the quoted 95% upper limits; the deepest bound is about 4×10⁻²⁶ near 300 Hz for Vela Jr.
  • The Vela Jr. ellipticity limit falls below about 10⁻⁷ above 400 Hz, smaller than the rough theoretical maximum for ordinary neutron stars, so if a neutron star is there it is nearly symmetric.
  • The r-mode amplitude limits reach below about 10⁻⁵, far under the predicted nonlinear saturation level near 10⁻³, disfavoring r-mode-dominated emission for these objects at the searched frequencies.
  • For SNR 1987A the new strain limit is about 9.8×10⁻²⁶, improving the previous modeled-search result by roughly a factor of 1.5.
  • These results supersede earlier wide-band directed limits across the whole analyzed band, and further gains are expected with longer observing runs and improved detector sensitivity.

Where Pith is reading between the lines

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

  • An implication left implicit is that the null result is a collective population statement; stacking all 15 remnants could yield a combined bound stronger than any single source and would constrain the fraction of young neutron stars emitting continuous waves.
  • If any target glitched during O4a — something the paper explicitly does not model — the upper limits for that source would no longer apply; timing monitoring of the compact objects would settle this.
  • The reported non-reproduction of a previously claimed candidate toward G347.3−0.5 leaves that candidate's status open; a fully coherent search over the complete run, as the paper notes, is the next decisive test.
  • Extending the same multi-pipeline strategy to the full O4 dataset should improve strain sensitivity roughly as the square root of observing time, pushing the Vela Jr. ellipticity constraint still closer to the theoretical maximum.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 6 minor

Summary. The paper presents directed searches for continuous gravitational waves from 15 supernova remnants using the first eight months (O4a) of LIGO-Virgo-KAGRA data, employing five pipelines: BSD, PyStoch, single-harmonic Viterbi (SHV), dual-harmonic Viterbi (DHV), and Weave. The searches are wide-band (≈20–2000 Hz, depending on pipeline) and do not assume known target ephemerides. No candidate survives the multi-stage vetoes and follow-ups, yielding a null result. The paper sets 95% confidence-level upper limits on the strain amplitude h0, with the most stringent ≈4×10^-26 near 300 Hz for Vela Jr., and converts these into constraints on neutron-star ellipticity and r-mode amplitude via Eqs. (11)–(13), reaching ϵ≲10^-7 and α≲10^-5 for Vela Jr. at high frequency. It claims these are the most sensitive wide-band directed CW searches from supernova remnants to date.

Significance. Strengths to acknowledge: five independent pipelines with documented veto chains and survivor tables (Tables 3, 4, 9, 12); multi-stage follow-ups at increasing coherence time (Weave up to T_coh = 240 d); injection-and-recovery calibration of upper limits in representative sub-bands, including 12 DHV validation bands and per-1-Hz Weave injections; hardware-injection validation of the Weave follow-up; and an explicit negative comparison with the Einstein@Home candidate of Ming et al. (2025). The null result and the instrumental upper limits are well supported, and the Vela Jr. strain limits would be a genuine advance over O3 results. However, as detailed in the major comments, the SHV (and, to a lesser extent, BSD and DHV) searches do not cover the (braking-index, age) parameter space advertised for the young targets, so the reported ellipticity and r-mode constraints for the SHV-only sources overstate what the data bound. The paper is publishable after the coverage issue is confronted and the affected claims are re-scoped.

major comments (2)
  1. [Appendix C.1.1 / Table 8] Appendix C.1.1, Eq. (C7), vs Table 8: the SHV coherence times violate its own trackability criterion. Criterion 1 requires T_coh < [(n−1)t_age/(2f)]^{1/2}. For Vela Jr. (t_age=2.4–5.1 kyr) at 100 Hz, n=2: T_coh < 5.4 hr, but Table 8 lists 19.3 hr; max tracked spin-down 1/(2T_coh^2)=1.0e-10 Hz/s is 13× below |fdot|=1.3e-9 Hz/s. Same failures for the SHV-only targets: G1.9+0.3 (4.0 vs 1.35), G15.9+0.2 (14.8 vs 3.5), G350.1−0.3 (7.2 vs 2.9 hr). Every T_coh in Table 8 equals the C7 bound at (n=7,t_age,max), so SHV covers only that corner of the stated (n=2–7,t_age) space; for G350.1−0.3 even that corner fails. Hence Figs. 5/11 do not bound the youngest NSs in the SHV-only targets (G1.9+0.3, G15.9+0.2, G350.1−0.3). Fix: re-run with T_coh satisfying C7 at (n=2,t_age,min), or report covered |fdot| per target and restrict §5.2 claims.
  2. [Secs. 4.2, 4.5 / Tables 1–2] The same coverage gap occurs, less severely, in BSD and DHV. BSD enforces a 3.8-kyr minimum age, but seven BSD targets have younger age lower bounds; for G291.0−0.1 (1.3 kyr) and G330.2+1.0 (1 kyr) the searched |fdot|≤9.18e-10 Hz/s at 100 Hz falls short of the n=2 expectation (≈2.4e-9 and 3.2e-9 Hz/s), so the BSD limits for these newly added targets do not cover the youngest scenarios. DHV's T_coh=9 hr configuration (minimum age 5 kyr) tracks |fdot|≤2.38e-10 Hz/s at f⋆=100 Hz, below f⋆/[(n−1)t_age] for n=2–4 (and for n=5 at ages ≲3.3 kyr). Please add a per-pipeline/per-target table of the effectively covered (f, |fdot|) region and restrict the §5.2 ellipticity/r-mode interpretation to signals inside it.
minor comments (6)
  1. [Sec. 5.1 / Sec. 6] Sec. 5.1, SHV results paragraph: 'SVH' is a typo for 'SHV'. Also, the §6 claim of 'the strongest upper limits to date across the full analyzed frequency band' is too broad, since §5.1 itself notes that Weave's sensitivity at the G347.3−0.5 candidate frequency of Ming et al. (2025) is lower; qualify the claim.
  2. [References] 'Abac et al. 2025b' carries the placeholder URL https://arxiv.org/abs/12345.6789; replace it with the real arXiv ID or a complete citation.
  3. [Appendix C.3] The SHV upper-limit curves depend on per-target rescaling constant k and a(T_coh)=h_0^95/h_0^est, but these values appear only in LIGO-T2500368. Please include a table of these values so that Fig. 11 can be reproduced from the manuscript.
  4. [Tables] Several captions contain 'T able' layout artifacts, and the G18.9−1.1 row in Table 1 repeats the object name; please clean up.
  5. [Secs. 3, 6] The no-glitch assumption is explicit and standard, but its consequence should be restated with the results: a glitch or large timing-noise excursion in any target during O4a would move the signal outside the searched template space, and the quoted upper limits would not apply to that source.
  6. [Appendix B.2] The footnote admitting that the Frequency-Hough follow-up neglects fddot is a real limitation; given that the PyStoch candidates have p ≈ 0.07–0.09 and the 5-vector resampling found nothing, it is acceptable, but it should be flagged in the main text or the reduced follow-up sensitivity stated.

Circularity Check

0 steps flagged

No circularity: the upper limits are injection-calibrated measurements from O4a data, and the ellipticity/r-mode conversions are standard formulas with stated inputs.

full rationale

The derivation chain is self-contained: calibrated O4a strain data feed five independent search pipelines; candidates are vetoed and followed up; 95% upper limits are set by injection-and-recovery or by explicit analytic scalings spot-checked with injections (and, for BSD/SHV/DHV, using semi-analytic estimates corroborated by software injections); the h0 curves are then converted to ellipticity and r-mode limits via Eqs. (11)-(13) with stated distances and I_zz = 10^38 kg m^2. No parameter is fitted to a subset of data and then renamed as a prediction. The self-citations to prior pipeline papers (Abbott et al. 2021b; Sun et al. 2018, 2019; Wette et al. 2018; etc.) supply algorithms and parameter conventions, but the null result and upper limits are not derived from those citations: they are empirically calibrated on the O4a data analyzed here. The paper explicitly flags its coverage assumptions, e.g., in Sec. 3: "we do not explicitly account for glitches; we assume that none of the targets have glitched during the considered observing time," and in the braking-index/age ranges used for each pipeline. These assumptions limit the astrophysical interpretation of the limits but are not circular, because the limits themselves remain independent measurements of the searched parameter space. The apparent inconsistency between the SHV coherence-time criterion Eq. (C7) and the T_coh values in Table 8 is a possible coverage or correctness issue for young, low-braking-index signals; it does not reduce the reported limits to their inputs by construction. Overall, the paper's central claims—non-detection and calibrated upper limits—do not exhibit self-definitional, fitted-prediction, or self-citation-reduction circularity.

Axiom & Free-Parameter Ledger

4 free parameters · 6 axioms · 0 invented entities

The central claims are empirical upper limits; the free parameters are internal calibration constants for the limit-setting procedures rather than physics fit parameters. The load-bearing assumptions are the harmonic signal model, the age-defined spin-down prior, and the no-glitch assumption, all stated explicitly in the text. No new particles, forces, or entities are introduced.

free parameters (4)
  • BSD calibration factor B = not quoted; averaged from injections in 6 sub-bands per target
    App. A.3: B is computed as the average of empirically derived prefactors from injection-and-recovery runs and applied in Eq. (A3) to set all BSD upper-limit curves. It is an internal calibration constant, not a physics parameter, but it normalizes the reported h95%0 values.
  • SHV per-target rescaling constant k = k = max(R) over injections; applied when k > 1.1
    App. C.3: injection-based upper limits are compared with the analytic scaling curve per target, and the full-band curve is rescaled by k when disagreement exceeds 10%. This injects noise-realization information into the final limits; standard practice, but the reported curves are partly tuned to software injections.
  • Weave sigmoid parameters (a, b) = fit per 1-Hz band in Eq. (E16)
    App. E.3: detection fraction vs h0 is fit with p(h0) = 1/(1+exp((a-h0)/b)) to read off h95%0. The upper limit is what the sigmoid fit returns, with statistical uncertainty quoted below 5%.
  • PyStoch interpolation constants for Bayesian upper limits = precomputed grids over signal-to-noise and polarization
    App. B.3: marginalized h0 posteriors are precomputed for representative SNR values and interpolated across the band, validated on a subset of bins. Internal to the limit computation, not a physics parameter.
axioms (6)
  • domain assumption CW emission from a triaxial star at twice the spin frequency (single harmonic) or at f* and 2f* (dual harmonic)
    Sec. 3, Eqs. (3)-(6). All pipelines search only these harmonics; emission at other harmonics (e.g., precession sidebands) would be missed. The model is taken from prior literature (Jaranowski et al. 1998; Sun et al. 2019).
  • domain assumption Power-law spin-down f-dot proportional to -f^n with braking index n in [2,7] and age-based ranges for f-dot and f-double-dot
    Eq. (1) and Secs. 4.2-4.6; search ranges are derived from SNR ages via Eq. (C6) and Eq. (E13). A source spinning down faster than the youngest-age bound, or with n outside 2-7, would leave the searched band. The ages and distances come from SNRcat (Table 1).
  • domain assumption None of the targets glitched during O4a
    Sec. 3: 'we assume that none of the targets have glitched during the considered observing time.' A glitch would break the phase model used to compute statistics and upper limits and could hide a real signal, invalidating the limits for that source.
  • domain assumption Moment of inertia I_zz = 10^38 kg m^2 in the ellipticity and r-mode conversions
    Eqs. (11)-(13). The ellipticity and alpha limits scale with this value; the paper notes model uncertainties of roughly factor 2-3 from equation of state, mass, and composition.
  • domain assumption Detector noise after gating is stationary enough for Gaussian-noise thresholds; known lines are excluded via notch lists
    Sec. 4.1 and appendices: thresholds (Weave Eq. E15, Viterbi Monte Carlo) assume Gaussian noise; non-Gaussian artifacts are handled by vetoes. If a true signal coincided with an excluded instrumental-line band it would be vetoed, as happened to the two Vela Jr. Weave candidate clusters near 247 Hz (App. E.2).
  • domain assumption Catalog distances and ages for each remnant are approximately correct
    Table 1 from Green (2025) and SNRcat. The indirect spin-down limit (Eq. 8) and the ellipticity limits scale with 1/D and D respectively; the paper brackets D_min to D_max in the shaded regions rather than treating distances as exact.

pith-pipeline@v1.3.0-alltime-deepseek · 70955 in / 18460 out tokens · 171724 ms · 2026-08-02T17:21:13.265136+00:00 · methodology

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read the original abstract

We present results from directed searches for continuous gravitational waves from a sample of 15 nearby supernova remnants, likely hosting young neutron star candidates, using data from the first eight months of the fourth observing run (O4) of the LIGO-Virgo-KAGRA Collaboration. The analysis employs five pipelines: four semi-coherent methods -- the Band-Sampled-Data directed pipeline, Weave and two Viterbi pipelines (single- and dual-harmonic) -- and PyStoch, a cross-correlation-based pipeline. These searches cover wide frequency bands and do not assume prior knowledge of the targets' ephemerides. No evidence of a signal is found from any of the 15 sources. We set 95\% confidence-level upper limits on the intrinsic strain amplitude, with the most stringent constraints reaching $\sim 4 \times 10^{-26}$ near 300 Hz for the nearby source G266.2$-$1.2 (Vela Jr.). We also derive limits on neutron star ellipticity and $r$-mode amplitudes for the same source, with the best constraints reaching $\lesssim 10^{-7}$ and $\lesssim 10^{-5}$, respectively, at frequencies above 400 Hz. These results represent the most sensitive wide-band directed searches for continuous gravitational waves from supernova remnants to date.

Figures

Figures reproduced from arXiv: 2603.25808 by A. Agapito, A. Ain, A. Allocca, A. Amato, A. Ananyeva, A. Araya, A. Basalaev, A. Basti, A. Bertolini, A. Bianchi, A. Binetti, A. Bisht, A. B. Nielsen, A. Bolliand, A. Bonino, A. Borchers, A. Boudon, A. Bozzi, A. Branch, A. Brillet, A. Buonanno, A. B. Yelikar, A. B. Zimmerman, A. Calafat, A. Casallas-Lagos, A. C. Baylor, A. Ceja, A. C. Green, A. Chakraborty, Achal Kumar, A. Chen, A. Chiba, A. Chincarini, A. Chiummo, A. Colombo, A. Corsi, A. Couineaux, A. Cozzumbo, A. C. Providence, A. Cumming, A. Dasgupta, A. Daumas, A. Davenport, A. Demagny, A. Depasse, A. DeSimone, A. Dhani, A. D. Huddart, A. Dmitriev, A. Doke, A. Domiciano De Souza, A. D. Viets, A. Effler, A. E. Granados, A. E. Koloniari, A. E. Pace, A. E. Romano, A. E. Tolley, A. F. Brooks, A. F. Helmling-Cornell, A. Fiori, A. Freise, A. F. Vargas, A. G. Abac, A. Gamboa, A. Ganguly, A. Garron, A. Gennai, A. G. Hanselman, A. Grado, A. H. Laity, A. H.-Y. Chen, A. Ierardi, A. I. Renzini, A. 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Figure 1
Figure 1. Figure 1: Parameter space covered by each of the 5 pipelines for G266.2−1.2 (Vela Jr.). 4.1. Data All the pipelines use data from the LIGO Hanford and Livingston detectors (Aasi et al. 2015b) in this search. The analysis covers the data collected between May 24, 2023, 15:00 UTC and January 16, 2024, 16:00 UTC – the period referred to as O4a (Jia et al. 2024; Ganapathy et al. 2023; Capote et al. 2025; Abac et al. 202… view at source ↗
Figure 2
Figure 2. Figure 2: Upper Limits for the source G266.2−1.2 (Vela Jr.) obtained for the pipelines assuming the single harmonic emission scenario. The dual harmonic results for the same source are shown in [PITH_FULL_IMAGE:figures/full_fig_p018_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Equatorial ellipticity (left) and r-mode amplitude α (right) with 95% confidence for all the BSD targets. Filled circles show the ellipticity or r-mode amplitude computed using the minimum estimated source distance Dmin. Shaded regions indicate the full range of values obtained when varying the source distance from Dmin to Dmax (see [PITH_FULL_IMAGE:figures/full_fig_p021_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Equatorial ellipticity (left) and r-mode amplitude α (right) with 95% confidence for all targets studied in the PyStoch search. The filled circles indicate the minimum ϵ 95% for each SNR, and the shaded regions span the full range of ellipticity values obtained by varying the distance between Dmin and Dmax (see [PITH_FULL_IMAGE:figures/full_fig_p021_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Equatorial ellipticity (left) and r-mode amplitude α (right) with 95% confidence for all the SHV targets. The filled circles indicate the minimum ϵ 95% and α 95% for each SNR, and the shaded regions span the full range of ellipticity and r-mode amplitude values obtained by varying the distance between Dmin and Dmax (see [PITH_FULL_IMAGE:figures/full_fig_p022_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Equatorial ellipticity and r-mode amplitude α upper limits (95% confidence level) from the Weave searches in each 1-Hz band for Cas A (blue), Vela Jr. (orange), and G347.3−0.5 (green), derived from the strain amplitude upper limits shown in [PITH_FULL_IMAGE:figures/full_fig_p022_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Constraints on the NS ellipticity with 95% confidence from the dual-harmonic Viterbi search as a function of f⋆ for (a) Tcoh = 12 hr and (b) Tcoh = 9 hr, converted from the h 95% 0 values in [PITH_FULL_IMAGE:figures/full_fig_p023_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: The estimated 95% confidence-level upper limit obtained from the BSD search. . and parameter space investigated by PyStoch are listed in [PITH_FULL_IMAGE:figures/full_fig_p027_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Best (1/32 Hz, left) and worst (47/32 Hz, right) 95% confidence-level upper limit between 20 and 1726 Hz, computed with PyStoch for each target: SNR 1987A (orange), Vela Jr. (blue), G347.3−0.5 (green), Cas A (red). Source Best h 95% 0 (×10−26) f (Hz) G111.7−2.1/Cas A 9.21 268.69 G347.3−0.5 9.78 332.53 G266.2−1.2/Vela Jr. 9.02 343.59 SNR 1987A 9.83 323.16 [PITH_FULL_IMAGE:figures/full_fig_p029_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Tcoh and f values that satisfy the four criteria defined in Appendix C.1.1. The shaded pink region satisfies criterion one, i.e. Eq. (C7). The dotted grey region satisfies criterion two. The shaded blue region satisfies criteria three and four simultaneously. The purple domain indicates where all four criteria are satisfied, designated as the search region. For each f in the purple region, we choose Tcoh … view at source ↗
Figure 11
Figure 11. Figure 11: Upper limit curves for all targets searched by the SHV pipeline. The scatter points show the sensitivity estimate h 95% 0 (Tcoh) = a(Tcoh)h est 0 across the searched fre￾quency band. The SHV pipeline models the frequency evolution as a random walk, which is flexible enough to accommo￾date secular spin down and stochastic spin wandering. Consequently, the resulting upper limits are not directly comparable … view at source ↗
Figure 12
Figure 12. Figure 12: The estimated sensitivity h 95% 0 obtained from the dual-harmonic Viterbi search as a function of f⋆ for Tcoh = 12 hr (blue) and Tcoh = 9 hr (orange), assuming a specific scenario with source properties θ = 45 deg and cos ι = 0 (signals at both f⋆ and 2f⋆ are linearly polarized). These estimates are obtained from randomized sky positions and hence apply to all sources using the same Tcoh. the injected h0 … view at source ↗
Figure 13
Figure 13. Figure 13: GW strain amplitude upper limits (95% con￾fidence level) in each 1-Hz band for the Cas A (blue), Vela Jr. (orange), and G347.3−0.5 (green) searches using Weave. All the upper limits presented here are below the age-based strain amplitude limit (> 10−24) for the three targets. is repeated for different signal amplitudes h0, and the detection fraction is fitted using a sigmoidal function p(h0) = 1 1 + exp a… view at source ↗

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