REVIEW 2 major objections 2 minor 70 references
Search for the Highest-energy Quasiperiodic Oscillation in the Black Hole X-Ray Binary Candidate Swift J1727.8-1613
T0 review · 2 major / 2 minor · reviewed 2026-05-20 · grok-4.3
Pith's one-line read A low-frequency QPO extends above 250 keV in the black hole X-ray binary Swift J1727.8-1613
desk verdict The paper reports a first claimed QPO detection above 250 keV in Swift J1727.8-1613 with HHT analysis, but the high-energy significances rest on untested false-alarm rates in the low-count regime. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Hilbert-Huang transform applied to energy-resolved phase-folded light curves to extract QPO profiles, measure fractional rms, and quantify soft phase lags at high energies
What would settle it
A re-analysis of the same Insight-HXMT dataset with an independent method or a new observation with another hard X-ray instrument that fails to recover a significant QPO above 250 keV at comparable significance.
Extended reading notes
Core claim
We report the first detection of a low-frequency quasiperiodic oscillation (QPO) extending above 250 keV in the black hole X-ray binary candidate Swift J1727.8-1613 using Insight-HXMT observations during its 2023 outburst. Owing to the large effective area of Insight-HXMT in hard X-ray, our observations indicate a remarkably strong QPO signal in the power spectrum above 100 keV. We utilize advanced Hilbert-Huang transform techniques to analyze phase-folded light curves across a wide range of energy bands, observing significant QPOs from 100 to 300 keV in the NaI and CsI detectors, respectively. The detection of QPO profiles above 250 keV can achieve significance levels of ∼8.9σ for the NaI
Load-bearing premise
The power-spectrum peaks above 250 keV represent genuine quasiperiodic oscillations rather than noise or analysis artifacts in the low-photon-count regime.
Editorial extensions
If this is right
- QPOs in black hole X-ray binaries can be produced at energies up to at least 300 keV.
- The drop in fractional rms above 100 keV indicates that geometric effects become dominant at higher energies.
- The rise in soft phase lag with energy is consistent with precession of a compact jet structure.
- High-energy QPO detections can constrain the location and motion of the jet base relative to the accretion flow.
Reading between the lines
- The same analysis approach could be applied to other bright outbursts to test whether jet-linked QPOs appear routinely above 200 keV.
- Coordinated radio monitoring during future outbursts might reveal correlated timing signals if the precession model is correct.
- Quantifying the false-alarm probability of the post-processing steps would directly address concerns about low-count statistics.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports the first detection of a low-frequency quasiperiodic oscillation (QPO) extending above 250 keV in the black hole X-ray binary candidate Swift J1727.8-1613, based on Insight-HXMT observations during the 2023 outburst. It applies Hilbert-Huang transform techniques to phase-folded light curves across energy bands, claiming QPO signals with significances of ∼8.9σ (NaI) and ∼5.7σ (CsI) above 250 keV, a decrease in fractional rms above 100 keV, and increasing soft phase lags with energy, interpreted as evidence for a geometric origin linked to small-scale jet precession.
Significance. If the high-energy QPO detections hold after statistical validation, the result would be notable for extending QPO observations into a previously unexplored regime above 250 keV in a bright transient, providing new constraints on QPO models in black hole systems. The use of established timing tools on Insight-HXMT's large hard X-ray effective area is a clear strength and supports the potential for geometric interpretations.
major comments (2)
- [Abstract] Abstract: the quoted significances of ∼8.9σ (NaI) and ∼5.7σ (CsI) for the >250 keV QPO are presented without an explicit false-alarm probability derivation or correction for the number of independent trials (energy bands, frequency windows, detector combinations) in the HHT pipeline.
- [Analysis of the >250 keV band] Analysis of the >250 keV band: in the low-count regime the manuscript does not report end-to-end Monte Carlo simulations that inject only Poisson noise plus the measured background spectrum and then execute the identical HHT phase-folding pipeline; without this calibration the quoted σ values cannot be reliably converted to a false-alarm probability.
minor comments (2)
- A short description of the specific HHT implementation parameters (e.g., number of intrinsic mode functions, stopping criteria) would improve reproducibility.
- Consider adding a table that tabulates QPO frequency, fractional rms, and phase lag as a function of energy band for direct comparison across detectors.
Simulated Author's Rebuttal
We thank the referee for the careful and constructive review of our manuscript. The comments highlight important aspects of statistical validation for the high-energy QPO detections, and we have revised the paper to address them directly. Our point-by-point responses follow.
read point-by-point responses
-
Referee: [Abstract] Abstract: the quoted significances of ∼8.9σ (NaI) and ∼5.7σ (CsI) for the >250 keV QPO are presented without an explicit false-alarm probability derivation or correction for the number of independent trials (energy bands, frequency windows, detector combinations) in the HHT pipeline.
Authors: We agree that the abstract and main text would benefit from an explicit statement of the false-alarm probability derivation and a clear accounting for the number of trials. In the revised manuscript we have added a dedicated paragraph in the Methods section that derives the significance from the HHT phase-folding procedure, specifies the frequency search window, the number of energy bands examined, and the two detector combinations, and applies a conservative Bonferroni correction. The trial-corrected significances remain above 5σ for both NaI and CsI in the >250 keV band; the abstract has been updated to reference this calculation. revision: yes
-
Referee: [Analysis of the >250 keV band] Analysis of the >250 keV band: in the low-count regime the manuscript does not report end-to-end Monte Carlo simulations that inject only Poisson noise plus the measured background spectrum and then execute the identical HHT phase-folding pipeline; without this calibration the quoted σ values cannot be reliably converted to a false-alarm probability.
Authors: We concur that end-to-end Monte Carlo simulations are the most direct way to calibrate the false-alarm probability in the low-count regime. We have now performed 10,000 realizations in which synthetic light curves containing only Poisson noise plus the measured background spectrum were passed through the identical HHT phase-folding and significance pipeline. The resulting null distribution places the observed signals at >5.5σ for NaI and >5.0σ for CsI above 250 keV. A new subsection (now Section 3.3) describes the simulation setup, the background model, and the resulting confidence levels; the quoted significances in the abstract and results have been cross-referenced to these simulations. revision: yes
Circularity Check
No circularity: direct observational detection from independent data processing
full rationale
The manuscript presents an observational result from Insight-HXMT satellite data on Swift J1727.8-1613. The claimed QPO detections and significances are obtained by applying the Hilbert-Huang transform to phase-folded light curves in separate energy bands. No equations, fitted parameters, or self-citations are used to derive the reported frequencies or rms values from the same dataset in a self-referential manner. The analysis does not invoke uniqueness theorems, rename known results, or smuggle ansatzes via prior self-citations. The central claim remains a direct measurement whose validity rests on the data and pipeline rather than reducing to its own inputs by construction. This is the expected outcome for a pure observational report without theoretical derivation chains.
Assumptions & free parameters
assumptions (1)
- domain assumption Standard statistical thresholds and background-subtraction methods in X-ray power-spectrum analysis are valid at energies above 100 keV.
Cite this review
Pith. "Pith review of Search for the Highest-energy Quasiperiodic Oscillation in the Black Hole X-Ray Binary Candidate Swift J1727.8-1613." pith.science (2026). https://pith.science/paper/VXI42TXT
@misc{pith2026260518050,
author = {Pith},
title = {Pith review of: Search for the Highest-energy Quasiperiodic Oscillation in the Black Hole X-Ray Binary Candidate Swift J1727.8-1613},
year = {2026},
howpublished = {\url{https://pith.science/paper/VXI42TXT}},
note = {Machine review of arXiv:2605.18050}
}
abstract
We report the first detection of a low-frequency quasiperiodic oscillation (QPO) extending above 250 keV in the black hole X-ray binary candidate Swift J1727.8-1613 using Insight-HXMT observations during its 2023 outburst. Swift J1727.8-1613 is one of the brightest X-ray transients discovered and presents a valuable opportunity for studying high-energy properties of QPOs. Owing to the large effective area of Insight-HXMT in hard X-ray, our observations indicate a remarkably strong QPO signal in the power spectrum above 100 keV. We utilize advanced Hilbert-Huang transform techniques to analyze phase-folded light curves across a wide range of energy bands, observing significant QPOs from 100 to 300 keV in the NaI and CsI detectors, respectively. The detection of QPO profiles above 250 keV can achieve significance levels of ${\sim} 8.9{\sigma}$ for the NaI detector and ${\sim} 5.7{\sigma}$ for the CsI detector. Our results indicate a decrease in QPO fractional rms above 100 keV and an increased soft phase lag with energy, suggesting a geometric origin for the QPOs, likely linked to the precession of a small-scale jet.
Figures
Figures from the paper (1 more)
Reference graph
Works this paper leans on
-
[1]
C., Casella, P., Testa, V., et al
Baglio, M. C., Casella, P., Testa, V., et al. 2023, The Astronomer’s Telegram, 16225, 1
work page 2023
-
[2]
Belloni, T. M. 2018, arXiv e-prints, arXiv:1803.03641, doi: 10.48550/arXiv.1803.03641
work page Pith review arXiv doi:10.48550/arxiv.1803.03641 2018
-
[3]
Belloni, T. M., Motta, S. E., & Muñoz-Darias, T. 2011, Bulletin of the Astronomical Society of India, 39, 409, doi: 10.48550/arXiv.1109.3388
work page Pith review arXiv doi:10.48550/arxiv.1109.3388 2011
-
[4]
Altamirano, D. 2020, MNRAS, 496, 4366, doi: 10.1093/mnras/staa1843
-
[5]
Bollemeijer, N., Uttley, P., & You, B. 2025, MNRAS, 540, 1394, doi: 10.1093/mnras/staf750
-
[6]
Bu, Q. C., Zhang, S. N., Santangelo, A., et al. 2021, ApJ, 919, 92, doi: 10.3847/1538-4357/ac11f5
-
[7]
Cabanac, C., Henri, G., Petrucci, P. O., et al. 2010, MNRAS, 404, 738, doi: 10.1111/j.1365-2966.2010.16340.x
-
[8]
Casella, P., Belloni, T., & Stella, L. 2005, ApJ, 629, 403, doi: 10.1086/431174
Show all 70 references
-
[9]
D., et al
Caballero-Garcia, M. D., et al. 2023, The Astronomer’s Telegram, 16208, 1
2023
-
[10]
A., Miller, J
Draghis, P. A., Miller, J. M., Homan, J., et al. 2023, The Astronomer’s Telegram, 16219, 1
2023
-
[11]
2014, IEEE Transactions on Signal Processing, 62, 531, doi: 10.1109/TSP.2013.2288675 Gierliński, M., & Done, C
Dragomiretskiy, K., & Zosso, D. 2014, IEEE Transactions on Signal Processing, 62, 531, doi: 10.1109/TSP.2013.2288675 Gierliński, M., & Done, C. 2003, MNRAS, 342, 1083, doi: 10.1046/j.1365-8711.2003.06591.x Gierliński, M., & Zdziarski, A. A. 2005, MNRAS, 363, 1349, doi: 10.1111...
2014 doi
-
[12]
Y., Ji, L., et al
Hou, X., Ge, M. Y., Ji, L., et al. 2022, ApJ, 938, 149, doi: 10.3847/1538-4357/ac8c93
2022 doi
-
[13]
2020, ApJ, 900, 116, doi: 10.3847/1538-4357/abacbd
Hsieh, H.-E., & Chou, Y. 2020, ApJ, 900, 116, doi: 10.3847/1538-4357/abacbd
2020 doi
-
[14]
2014, ApJ, 788, 31, doi: 10.1088/0004-637X/788/1/31
Hu, C.-P., Chou, Y., Yang, T.-C., & Su, Y.-H. 2014, ApJ, 788, 31, doi: 10.1088/0004-637X/788/1/31
2014 doi
-
[15]
E., Shen, Z., Long, S
Huang, N. E., Shen, Z., Long, S. R., et al. 1998, Proceedings of the Royal Society of London Series A, 454, 903, doi: 10.1098/rspa.1998.0193
1998 doi
-
[16]
L., Zhang, S
Huang, Y., Qu, J. L., Zhang, S. N., et al. 2018, ApJ, 866, 122, doi: 10.3847/1538-4357/aade4c
2018 doi
-
[17]
Ingram, A., Done, C., & Fragile, P. C. 2009, MNRAS, 397, L101, doi: 10.1111/j.1745-3933.2009.00693.x
2009 doi
-
[18]
2015, MNRAS, 446, 3516, doi: 10.1093/mnras/stu2373
Ingram, A., & van der Klis, M. 2015, MNRAS, 446, 3516, doi: 10.1093/mnras/stu2373
2015 doi
-
[19]
2017, MNRAS, 464, 2979, doi: 10.1093/mnras/stw2581
Ingram, A., van der Klis, M., Middleton, M., Altamirano, D., & Uttley, P. 2017, MNRAS, 464, 2979, doi: 10.1093/mnras/stw2581
2017 doi
-
[20]
2016, MNRAS, 461, 1967, doi: 10.1093/mnras/stw1245
Ingram, A., van der Klis, M., Middleton, M., et al. 2016, MNRAS, 461, 1967, doi: 10.1093/mnras/stw1245
2016 doi
-
[21]
2024, ApJ, 968, 76, doi: 10.3847/1538-4357/ad3faf
Ingram, A., Bollemeijer, N., Veledina, A., et al. 2024, ApJ, 968, 76, doi: 10.3847/1538-4357/ad3faf
2024 doi
-
[22]
R., & Motta, S
Ingram, A. R., & Motta, S. E. 2019, NewAR, 85, 101524, doi: 10.1016/j.newar.2020.101524
2019 doi
-
[23]
Vincentelli, F. M. 2025, arXiv e-prints, arXiv:2510.10353, doi: 10.48550/arXiv.2510.10353
2025 doi
-
[24]
G., Méndez, M., & van der Klis, M
Jonker, P. G., Méndez, M., & van der Klis, M. 2002, MNRAS, 336, L1, doi: 10.1046/j.1365-8711.2002.05781.x
2002 doi
-
[25]
2022, ApJL, 933, L3, doi: 10.3847/2041-8213/ac7711
Kong, L.-D., Zhang, S., Zhang, S.-N., et al. 2022, ApJL, 933, L3, doi: 10.3847/2041-8213/ac7711
2022 doi
-
[26]
2011, Science, 332, 438, doi: 10.1126/science.1200848
Laurent, P., Rodriguez, J., Wilms, J., et al. 2011, Science, 332, 438, doi: 10.1126/science.1200848
2011 doi
-
[27]
2020, Journal of High Energy Astrophysics, 27, 14, doi: 10.1016/j.jheap.2020.04.002
Liao, J.-Y., Zhang, S., Lu, X.-F., et al. 2020, Journal of High Energy Astrophysics, 27, 14, doi: 10.1016/j.jheap.2020.04.002
2020 doi
-
[28]
2018, MNRAS, 474, L81, doi: 10.1093/mnrasl/slx174
Liska, M., Hesp, C., Tchekhovskoy, A., et al. 2018, MNRAS, 474, L81, doi: 10.1093/mnrasl/slx174
2018 doi
-
[29]
2024, arXiv e-prints, arXiv:2406.03834, doi: 10.48550/arXiv.2406.03834
Liu, H.-X., Xu, Y.-J., Zhang, S.-N., et al. 2024, arXiv e-prints, arXiv:2406.03834, doi: 10.48550/arXiv.2406.03834
2024 doi
-
[30]
2020, Journal of High Energy Astrophysics, 27, 1, doi: 10.1016/j.jheap.2020.04.004
Luo, Q., Liao, J.-Y., Li, X.-F., et al. 2020, Journal of High Energy Astrophysics, 27, 1, doi: 10.1016/j.jheap.2020.04.004
2020 doi
-
[31]
2025, MNRAS, 543, 1748, doi: 10.1093/mnras/staf1524
Ma, R., Done, C., & Kubota, A. 2025, MNRAS, 543, 1748, doi: 10.1093/mnras/staf1524
2025 doi
-
[32]
2021, Nature Astronomy, 5, 94, doi: 10.1038/s41550-020-1192-2
Ma, X., Tao, L., Zhang, S.-N., et al. 2021, Nature Astronomy, 5, 94, doi: 10.1038/s41550-020-1192-2
2021 doi
-
[33]
2023, ApJ, 948, 116, doi: 10.3847/1538-4357/acc4c3
Ma, X., Zhang, L., Tao, L., et al. 2023, ApJ, 948, 116, doi: 10.3847/1538-4357/acc4c3
2023 doi
-
[34]
2009, MNRAS, 392, 570, doi: 10.1111/j.1365-2966.2008.14142.x Mata Sánchez, D., Muñoz-Darias, T., Armas Padilla, M.,
Malzac, J., & Belmont, R. 2009, MNRAS, 392, 570, doi: 10.1111/j.1365-2966.2008.14142.x Mata Sánchez, D., Muñoz-Darias, T., Armas Padilla, M.,
2009 doi
-
[35]
Casares, J., & Torres, M. A. P. 2024, A&A, 682, L1, doi: 10.1051/0004-6361/202348754 Méndez, M., Karpouzas, K., García, F., et al. 2022, Nature Astronomy, 6, 577, doi: 10.1038/s41550-022-01617-y Méndez, M., van der Klis, M., van Paradijs, J., et al. 1998, ApJL, 494, L65, doi: ...
2024 doi
-
[36]
2025, arXiv e-prints, arXiv:2510.13249, doi: 10.48550/arXiv.2510.13249 10
Meng, W., You, Y., Zhang, S.-N., & Cao, J.-Y. 2025, arXiv e-prints, arXiv:2510.13249, doi: 10.48550/arXiv.2510.13249 10
2025 doi
-
[37]
2023, arXiv e-prints, arXiv:2310.06697, doi: 10.48550/arXiv.2310.06697 —
Mereminskiy, I., Lutovinov, A., Molkov, S., et al. 2023, arXiv e-prints, arXiv:2310.06697, doi: 10.48550/arXiv.2310.06697 —. 2024, MNRAS, 531, 4893, doi: 10.1093/mnras/stae1393
2023 doi
-
[38]
1991, ApJ, 383, 784, doi: 10.1086/170837
Ebisawa, K. 1991, ApJ, 383, 784, doi: 10.1086/170837
1991 doi
-
[39]
2011, MNRAS, 418, 2292, doi: 10.1111/j.1365-2966.2011.19566.x
Homan, J. 2011, MNRAS, 418, 2292, doi: 10.1111/j.1365-2966.2011.19566.x
2011 doi
-
[40]
E., Casella, P., Henze, M., et al
Motta, S. E., Casella, P., Henze, M., et al. 2015, MNRAS, 447, 2059, doi: 10.1093/mnras/stu2579
2015 doi
-
[41]
2024, MNRAS, 531, 1149, doi: 10.1093/mnras/stae1208
Nandi, A., Das, S., Majumder, S., et al. 2024, MNRAS, 531, 1149, doi: 10.1093/mnras/stae1208
2024 doi
-
[42]
2023, The Astronomer’s Telegram, 16205, 1 O’Connor, B., Hare, J., Younes, G., et al
Negoro, H., Serino, M., Nakajima, M., et al. 2023, The Astronomer’s Telegram, 16205, 1 O’Connor, B., Hare, J., Younes, G., et al. 2023, The Astronomer’s Telegram, 16207, 1
2023
-
[43]
L., Dichiara, S., Gropp, J
Page, K. L., Dichiara, S., Gropp, J. D., et al. 2023, GRB Coordinates Network, 34537, 1
2023
-
[44]
M., & Parsotan, T
Palmer, D. M., & Parsotan, T. M. 2023, The Astronomer’s Telegram, 16215, 1
2023
-
[45]
2024, ApJL, 960, L17, doi: 10.3847/2041-8213/ad17ca
Peng, J.-Q., Zhang, S., Shui, Q.-C., et al. 2024, ApJL, 960, L17, doi: 10.3847/2041-8213/ad17ca
2024 doi
-
[46]
2009, ApJL, 690, L97, doi: 10.1088/0004-637X/690/2/L97
Poutanen, J., & Vurm, I. 2009, ApJL, 690, L97, doi: 10.1088/0004-637X/690/2/L97
2009 doi
-
[47]
L., Lu, F
Qu, J. L., Lu, F. J., Lu, Y., et al. 2010, ApJ, 710, 836, doi: 10.1088/0004-637X/710/1/836
2010 doi
-
[48]
2004, ApJ, 612, 1018, doi: 10.1086/422672
Tagger, M. 2004, ApJ, 612, 1018, doi: 10.1086/422672
2004 doi
-
[49]
C., Zhang, S., Chen, Y
Shui, Q. C., Zhang, S., Chen, Y. P., et al. 2023a, ApJ, 943, 165, doi: 10.3847/1538-4357/aca7b8
-
[50]
C., Zhang, S., Zhang, S
Shui, Q. C., Zhang, S., Zhang, S. N., et al. 2023b, ApJ, 957, 84, doi: 10.3847/1538-4357/acfc42 —. 2024a, ApJL, 965, L7, doi: 10.3847/2041-8213/ad374d
-
[51]
2024b, ApJ, 973, 59, doi: 10.3847/1538-4357/ad676a
Shui, Q.-C., Zhang, S., Peng, J.-Q., et al. 2024b, ApJ, 973, 59, doi: 10.3847/1538-4357/ad676a
-
[52]
L., & Uttley, P
Stevens, A. L., & Uttley, P. 2016, MNRAS, 460, 2796, doi: 10.1093/mnras/stw1093
2016 doi
-
[53]
Stiele, H., & Kong, A. K. H. 2024, A&A, 691, A268, doi: 10.1051/0004-6361/202450657
2024 doi
-
[54]
2015, ApJ, 815, 74, doi: 10.1088/0004-637X/815/1/74
Su, Y.-H., Chou, Y., Hu, C.-P., & Yang, T.-C. 2015, ApJ, 815, 74, doi: 10.1088/0004-637X/815/1/74
2015 doi
-
[55]
1999, A&A, 349, 1003, doi: 10.48550/arXiv.astro-ph/9907267 van den Eijnden, J., Ingram, A., Uttley, P., et al
Tagger, M., & Pellat, R. 1999, A&A, 349, 1003, doi: 10.48550/arXiv.astro-ph/9907267 van den Eijnden, J., Ingram, A., Uttley, P., et al. 2017, MNRAS, 464, 2643, doi: 10.1093/mnras/stw2634
-
[56]
2013, MNRAS, 430, 3196, doi: 10.1093/mnras/stt124
Veledina, A., Poutanen, J., & Vurm, I. 2013, MNRAS, 430, 3196, doi: 10.1093/mnras/stt124
2013 doi
-
[57]
2023, ApJL, 958, L16, doi: 10.3847/2041-8213/ad0781
Veledina, A., Muleri, F., Dovčiak, M., et al. 2023, ApJL, 958, L16, doi: 10.3847/2041-8213/ad0781
2023 doi
-
[58]
M., Shahbaz, T., Casella, P., et al
Vincentelli, F. M., Shahbaz, T., Casella, P., et al. 2025, arXiv e-prints, arXiv:2503.20862, doi: 10.48550/arXiv.2503.20862
2025 doi
-
[59]
M., Miller-Jones, J
Wood, C. M., Miller-Jones, J. C. A., Bahramian, A., et al. 2024, ApJL, 971, L9, doi: 10.3847/2041-8213/ad6572
2024 doi
-
[60]
2025, ApJ, 993, 40, doi: 10.3847/1538-4357/ae058a
Xu, S.-E., You, B., Long, Y., & He, H. 2025, ApJ, 993, 40, doi: 10.3847/1538-4357/ae058a
2025 doi
-
[61]
2024, ApJL, 970, L33, doi: 10.3847/2041-8213/ad60bd
Yang, Z.-X., Zhang, L., Zhang, S.-N., et al. 2024, ApJL, 970, L33, doi: 10.3847/2041-8213/ad60bd
2024 doi
-
[62]
You, B., Bursa, M., & Życki, P. T. 2018, ApJ, 858, 82, doi: 10.3847/1538-4357/aabd33
2018 doi
-
[63]
2023, ApJ, 951, 130, doi: 10.3847/1538-4357/acd756
Yu, W., Bu, Q.-C., Yang, Z.-X., et al. 2023, ApJ, 951, 130, doi: 10.3847/1538-4357/acd756
2023 doi
-
[64]
2024, MNRAS, 529, 4624, doi: 10.1093/mnras/stae835
Yu, W., Bu, Q.-C., Zhang, S.-N., et al. 2024, MNRAS, 529, 4624, doi: 10.1093/mnras/stae835
2024 doi
-
[65]
Vadawale, S. V. 2001, ApJL, 554, L45, doi: 10.1086/320932
2001 doi
-
[66]
2017, ApJ, 845, 143, doi: 10.3847/1538-4357/aa8138
Zhang, L., Wang, Y., Méndez, M., et al. 2017, ApJ, 845, 143, doi: 10.3847/1538-4357/aa8138
2017 doi
-
[67]
2020, Science China
Zhang, S.-N., Li, T., Lu, F., et al. 2020, Science China
2020
-
[68]
Physics, Mechanics, and Astronomy, 63, 249502, doi: 10.1007/s11433-019-1432-6
-
[69]
Giles, A. B. 1995, ApJ, 449, 930, doi: 10.1086/176111
1995 doi
-
[70]
2024, ApJL, 961, L42, doi: 10.3847/2041-8213/ad1e6c
Zhao, Q.-C., Tao, L., Li, H.-C., et al. 2024, ApJL, 961, L42, doi: 10.3847/2041-8213/ad1e6c
2024 doi
Reviewed May 20, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.