REVIEW 4 major objections 4 minor 97 references
A systematic search for redback and black widow candidates based on the 4FGL-DR3 unassociated sources and the Zwicky Transient Facility data
T0 review · 4 major / 4 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read The paper claims that a periodicity search of ZTF light curves around 4FGL-DR3 unassociated gamma-ray sources, followed by Gaia color-magnitude and reduced proper-motion cuts, yields 24 spider pulsar candidates, 19 inside the 4FGL 95%…
desk verdict A working pipeline and a useful starting candidate list, but the list has no false-positive estimate and the data products have internal inconsistencies; a control sample is needed before the counts mean anything. 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
The machinery has five components. First, a Lomb-Scargle periodogram pipeline applied to ZTF $g$- and $r$-band light curves downloaded within a 6-arcminute radius of each unassociated 4FGL-DR3 source. Second, a morphological classification that selects ellipsoidal variables (quasi-sinusoidal, two minima per cycle, more than 15 percent peak-to-peak amplitude in the $g$/$r$ bands) and irradiation-type binaries (a single sinusoidal peak per orbit). Third, the Gaia Hertzsprung-Russell selection strip defined by $M_G \le 2.7(G_{BP}-G_{RP})+10.5$ and $M_G > 3.7(G_{BP}-G_{RP})+2.4$, which isolates the sub-main-sequence region occupied by millisecond-pulsar companions. Fourth, the reduced proper-motion cut $H_G > 5.3(G_{BP}-G_{RP})+5.9$, a kinematic filter that does not require parallax. Fifth, membership inside the 4FGL 95 percent confidence error ellipse. These filters are load-bearing: the first finds the periodic signal, the second and third reject field binaries, and the fourth removes high-proper-motion contaminants such as white dwarfs.
What would settle it
Count how many ZTF ellipsoidal variables within 6 arcminutes of random sky positions pass the same Gaia H-R and reduced proper-motion cuts; if that random expectation is comparable to the 24 gold-sample candidates, the list is not evidence of a genuine association with Fermi sources.
Extended reading notes
Core claim
The central claim is that spider pulsar binaries can be recognized in archival time-domain photometry without radio detection: an ellipsoidal or irradiation-modulated light curve with an orbital-period signal, located within 6 arcminutes of an unassociated Fermi gamma-ray source and lying in the Gaia sub-main-sequence band populated by millisecond-pulsar companions, is a credible spider pulsar candidate. Applying this scheme to 1,351 Fermi unassociated sources with ZTF coverage, the paper identifies 194 ellipsoidal variables and two irradiation binaries, then reduces 22 of the ellipsoidal variables plus the confirmed irradiation systems to a 24-object gold sample using the Antoniadis (2021) Gaia H-R selection strip. Requiring membership inside the 4FGL 95% confidence error ellipse cuts the sample to 19, and the color-reduced proper-motion criterion $H_G > 5.3(G_{BP}-G_{RP})+5.9$ cuts it to 9. Two of the irradiation binaries reproduce independently confirmed black widow systems, validating the pipeline. The paper also refits the orbital period-optical luminosity correlation for known spiders and shows that the gold sample's period distribution overlaps the redback and black widow distributions rather than the evolved-CV/proto-ELM white dwarf population.
Load-bearing premise
The whole list rests on the premise that a periodically varying star within six arcminutes of an unassociated Fermi source is plausibly that source's counterpart, yet the paper does not calculate how many such coincidences would occur by chance.
Editorial extensions
If this is right
- The 24 gold-sample candidates, and particularly the 9 that survive the reduced proper-motion cut, are the targets the paper proposes for radio, X-ray, and optical-spectroscopic follow-up.
- If confirmed, the candidates expand the known spider pulsar population and give new systems against which the recycling model of millisecond pulsar formation can be tested.
- The refitted orbital period-optical luminosity relation predicts Gaia G-band magnitudes for candidate spiders, providing a statistical screening tool for future searches.
- The gold sample's orbital-period distribution overlaps that of known redbacks and black widows and is distinct from evolved-CV/proto-ELM white dwarf systems, indicating that the selection is not dominated by those contaminants.
Reading between the lines
- A chance-coincidence check would test whether the 6-arcminute positional matches are meaningful: count comparable ZTF ellipsoidal variables with the same Gaia cuts around random sky positions, and compare with the 24 found around Fermi sources.
- The nine candidates surviving the color-reduced proper-motion cut are the natural first targets for deep radio timing searches; a blind search of those positions would settle the question more directly than the archival cross-matching used here.
- The same pipeline could be applied to future Fermi catalogs and to deeper time-domain surveys in the southern sky, extending the search beyond ZTF's declination limit and testing whether the candidate rate scales with survey depth.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper describes a systematic search for spider pulsar (redback and black widow) candidates by combining unassociated gamma-ray sources from the 4FGL-DR3 catalog with ZTF time-series photometry. The authors cross-match 1,351 Fermi unassociated sources to ZTF targets within a 6-arcminute radius, identify 194 ellipsoidal (EV) variables and two irradiation-type binaries, apply Gaia H-R diagram and reduced proper-motion cuts to define a "gold sample" of spider pulsar candidates, and further select 19 objects within the 4FGL 95% confidence error ellipse and nine objects after the RPM cut. The paper also fits an orbital period-optical luminosity relation for known spider pulsars and places the gold sample on this diagram.
Significance. If the candidate list is reliable, it would provide a valuable target list for radio, X-ray, and optical follow-up, and the test-sample recovery of known spider systems demonstrates that the ZTF-based pipeline can detect the expected variability. The use of archival ZTF data to screen 4FGL unassociated sources is a practical and potentially productive approach. However, as written, the central claim of a meaningful candidate list is not supported by the absence of any chance-coincidence or control-field analysis, and the many internal inconsistencies in the headline numbers undermine confidence in the sample.
major comments (4)
- [Section 2.1.2 and Section 3.3] The search radius of 6 arcminutes adopted in Section 2.1.2 is very large relative to typical 4FGL 95% error ellipses, and the selection criteria (peak-to-peak amplitude greater than 15%, the H-R strip of Eq. 1, and the RPM boundary of Eq. 3) are broad enough to admit ordinary field binaries, evolved CVs, and proto-ELM white dwarfs. The paper never estimates the expected number of chance coincidences, for example by repeating the same selection around random sky positions or around offset 4FGL positions. Without such a control, the reported counts (194 EV-type variables, 24/19/9 gold candidates) cannot be interpreted as an excess over background, and the candidate list is not a scientifically interpretable product.
- [Sections 2.4, 3.3.1, 3.3.2, 3.3.3, Table 4, Conclusion] The numbers that define the paper's main result are inconsistent across sections and tables. Section 2.4 reports 11 periodic variables in the test sample (5 redbacks and 6 black widows), while Table 1 and Figure 3 show 12, and the conclusion reports 12 (5 redbacks and 7 black widows). Section 3.3.1 says 22 EV-type binary stars satisfy the H-R criteria and constitute the golden sample, but the abstract, Table 2, and Section 3.3.3 say 24. For the 4FGL ellipse membership, Section 3.3.3 states 19 of 24 are inside and lists five outside, yet Table 4 appears to mark ZTFJ1957+1233 and ZTFJ1816+1747 (two of the listed five) as inside, with 21 rows carrying a Fermi ellipse checkmark. Similarly, Section 3.3.2 says the RPM cut leaves nine candidates, but Table 4 shows only seven rows with the color-Hg selection checkmark. These discrepancies make it impossible to know exactly which objects constitute the gold sample and which survive the final cuts; this must be corrected and the final list presented unambiguously.
- [Section 3.3.2 and Section 4.3] Section 3.3.2 explicitly notes that Antoniadis (2021) proposed the additional white-dwarf filter Hg <= 6.9(GBP - GRP) + 13.0, but the paper does not apply it. This is pertinent because Section 4.3 reports that one gold-sample object, ZTFJ2144+7714, is a white dwarf candidate, and Section 4.4 acknowledges substantial overlap with the 'Birth of the ELMs' population of evolved CVs and proto-ELM white dwarfs. The qualitative comparisons in Figures 11-12 do not quantify the contamination rate. The authors should either apply the white-dwarf filter or provide a quantitative estimate of the expected white-dwarf/proto-ELM fraction in the gold sample.
- [Section 2.3 and Section 2.4] The period-finding pipeline is described qualitatively in Section 2.3, but the paper does not state the false-alarm probability threshold used to accept a Lomb-Scargle peak, the searched period range, or the minimum number of observations required. Without these, it is unclear how many of the 1,566 periodic variables are spurious detections. A quantitative statement of the detection significance is needed to make the test-sample recovery in Section 2.4 a meaningful validation of the pipeline.
minor comments (4)
- [Section 2.1.2 vs. Section 5] The number of 4FGL-DR3 unassociated sources is given as 2,157 in Section 2.1.2 and as 2,179 in the conclusion; please unify the number.
- [Section 4.1] The sentence claiming that '22 Spider pulsars from the golden sample were matched with the pulsars detected in the TRAPUM L-band survey' is confusing, since the immediately following text reports no radio pulse detections; please clarify what was actually matched.
- [Throughout] There are several typographical and language issues, such as 'the faction of radio luminosity' (should be 'fraction') and the unusual spacing in the title 'T ransient F acility'; a careful language edit is recommended.
- [Table 4] Table 4 would be clearer if the checkmarks for the Fermi ellipse and color-Hg selections were explicitly placed in separate columns with unambiguous symbols; the current formatting leads to the counting ambiguities noted in the major comments.
Circularity Check
No significant circularity: the candidate list is a transparent supervised selection and the paper explicitly defers confirmation to follow-up observations.
full rationale
The paper's central product is a list of 24 spider pulsar candidates obtained by applying explicitly stated empirical cuts to ZTF variables near 4FGL-DR3 unassociated sources. The H-R and RPM boundaries (Eqs. 1 and 3) are adopted from Antoniadis (2021), an external study of known pulsar companions; the paper does not derive a physical prediction from the candidates, and it repeatedly states that spectroscopic, radio, and X-ray confirmation is required (e.g., Section 4.5: 'Without the availability of spectral observational data ... it is exceedingly difficult to ascertain whether these Gold Sample candidates are indeed millisecond pulsars'). The period-luminosity correlation in Section 4.5 is fitted to the known spider sample and applied for luminosity estimation, but it is not part of the selection chain, so it is not a fitted input renamed as a prediction. Self-citations (e.g., Pal et al. 2020 with author Tam, and Ren et al. 2023 with author Ren) are used for pipeline validation and light-curve classification, not as load-bearing evidence for the central claim. The absence of a chance-coincidence or control-field estimate is a real statistical weakness of the candidate list, but it is a correctness and contamination concern, not a circularity of the derivation.
Assumptions & free parameters
free parameters (5)
- HR selection boundary slope and intercept (upper and lower lines) =
MG = 2.7(BP-RP)+10.5 and MG = 3.7(BP-RP)+2.4
- RPM selection boundary =
Hg = 5.3(BP-RP)+5.9
- Period-luminosity relation slope and intercept =
1.17 and 31.98 (log L vs log P)
- Search radius =
6 arcminutes
- Variability amplitude threshold =
15% peak-to-peak in g/r band
assumptions (5)
- standard math Lomb-Scargle periodogram returns the true orbital period for ellipsoidal and irradiation variables
- domain assumption The Gaia HR and RPM selection regions for MSP companions (Antoniadis 2021) transfer unchanged to this ZTF-selected sample
- domain assumption 4FGL-DR3 unassociated sources include a substantial population of millisecond pulsars
- ad hoc to paper A ZTF variable within 6 arcminutes of a 4FGL source is a plausible counterpart
- domain assumption Gaia parallax priors from Bailer-Jones et al. (2021) produce reliable distances for these faint candidates
Cite this review
Pith. "Pith review of A systematic search for redback and black widow candidates based on the 4FGL-DR3 unassociated sources and the Zwicky Transient Facility data." pith.science (2026). https://pith.science/paper/KGUQPKVE
@misc{pith2026241211616,
author = {Pith},
title = {Pith review of: A systematic search for redback and black widow candidates based on the 4FGL-DR3 unassociated sources and the Zwicky Transient Facility data},
year = {2026},
howpublished = {\url{https://pith.science/paper/KGUQPKVE}},
note = {Machine review of arXiv:2412.11616}
}
read the original abstract
Spider pulsars constitute a distinct subset within the domain of radio millisecond pulsars, divided further into the categories of black widows and redbacks. Evident across multiple wavelengths, these pulsars manifest periodic variations and reside within binary systems. Investigating and discovering additional spider-type pulsars carries significant implications for comprehending the evolution of high-mass stars. Particularly crucial is the validation of the "Recycling" theory of millisecond pulsar genesis. In this investigation, we systematically explore spider pulsar binary systems utilizing time-domain variability data from the Zwicky Transient Facility, in conjunction with Fermi unassociated gamma-ray sources sourced from the 4FGL-DR3 catalog. We have implemented a time-domain data processing pipeline utilizing the Lomb-Scargle Periodogram algorithm, integrated with the wget data crawling technology. This approach has led to the identification of 194 ellipsoidal variables and irradiation-type binary stars. Subsequent refinement through the Gaia Hertzsprung-Russell diagram has culled a selection of 24 spider pulsar gold sample candidates. By incorporating the 4FGL 95\% confidence error ellipse, the pool was narrowed down to 19 gold sample candidates. Utilizing the Gaia color-reduced proper motion diagram further refined the selection to 9 gold sample candidates. These newly identified spider pulsar candidates will inform subsequent observational campaigns across radio, X-ray, and optical spectroscopy, thereby facilitating a deeper validation of their physical characteristics.
Figures
Figures from the paper (14 more)
Reference graph
Works this paper leans on
-
[1]
A., Ackermann, M., Ajello, M., et al
Abdo, A. A., Ackermann, M., Ajello, M., et al. 2010, ApJS, 187, 460, doi: 10.1088/0067-0049/187/2/460
-
[2]
A., Ajello, M., Allafort, A., et al
Abdo, A. A., Ajello, M., Allafort, A., et al. 2013, ApJS, 208, 17, doi: 10.1088/0067-0049/208/2/17
-
[3]
2020, ApJS, 247, 33, doi: 10.3847/1538-4365/ab6bcb
Abdollahi, S., Acero, F., Ackermann, M., et al. 2020, ApJS, 247, 33, doi: 10.3847/1538-4365/ab6bcb
-
[4]
2022, ApJS, 260, 53, doi: 10.3847/1538-4365/ac6751
Abdollahi, S., Acero, F., Baldini, L., et al. 2022, ApJS, 260, 53, doi: 10.3847/1538-4365/ac6751
-
[5]
Alam, M. F., Arzoumanian, Z., Baker, P. T., et al. 2021a, ApJS, 252, 4, doi: 10.3847/1538-4365/abc6a0 —. 2021b, ApJS, 252, 5, doi: 10.3847/1538-4365/abc6a1
-
[6]
Alpar, M. A., Cheng, A. F., Ruderman, M. A., & Shaham, J. 1982, Nature, 300, 728, doi: 10.1038/300728a0
doi:10.1038/300728a0 1982
-
[7]
W., Kerr, M., & Fermi-LAT Collaboration
An, H., Romani, R. W., Kerr, M., & Fermi-LAT Collaboration. 2020, ApJ, 897, 52, doi: 10.3847/1538-4357/ab93ba
-
[8]
2021, MNRAS, 501, 1116, doi: 10.1093/mnras/staa3595
Antoniadis, J. 2021, MNRAS, 501, 1116, doi: 10.1093/mnras/staa3595
Show all 97 references
-
[9]
2018, ApJS, 235, 37, doi: 10.3847/1538-4365/aab5b0
Arzoumanian, Z., Brazier, A., Burke-Spolaor, S., et al. 2018, ApJS, 235, 37, doi: 10.3847/1538-4365/aab5b0
2018 doi
-
[10]
T., Blumer, H., et al
Arzoumanian, Z., Baker, P. T., Blumer, H., et al. 2020, ApJL, 905, L34, doi: 10.3847/2041-8213/abd401 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068
2020 doi
-
[11]
J., et al
Au, K.-Y., Strader, J., Swihart, S. J., et al. 2023, ApJ, 943, 103, doi: 10.3847/1538-4357/acae8a
2023 doi
-
[12]
C., D’Avanzo, P., Campana, S., et al
Baglio, M. C., D’Avanzo, P., Campana, S., et al. 2016, A&A, 591, A101, doi: 10.1051/0004-6361/201628383
2016 doi
-
[13]
2021, AJ, 161, 147, doi: 10.3847/1538-3881/abd806
Demleitner, M., & Andrae, R. 2021, AJ, 161, 147, doi: 10.3847/1538-3881/abd806
2021 doi
- [14]
-
[15]
C., Kaplan, D
Bellm, E. C., Kaplan, D. L., Breton, R. P., et al. 2016, ApJ, 816, 74, doi: 10.3847/0004-637X/816/2/74
2016 doi
-
[16]
2022, in Astrophysics and Space Science Library, Vol
Bhattacharyya, B., & Roy, J. 2022, in Astrophysics and Space Science Library, Vol. 465, Astrophysics and Space Science Library, ed. S. Bhattacharyya, A. Papitto, & D. Bhattacharya, 1–32, doi: 10.1007/978-3-030-85198-9_1
2022 doi
-
[17]
J., Trümper, J., et al
Boller, T., Freyberg, M. J., Trümper, J., et al. 2016, A&A, 588, A103
2016
-
[18]
P., Belfiore, A., et al
Braglia, C., Mignani, R. P., Belfiore, A., et al. 2020, MNRAS, 497, 5364, doi: 10.1093/mnras/staa2339
2020 doi
-
[19]
B., Coughlin, M
Burdge, K. B., Coughlin, M. W., Fuller, J., et al. 2019, Nature, 571, 528, doi: 10.1038/s41586-019-1403-0
2019 doi
-
[20]
B., Prince, T
Burdge, K. B., Prince, T. A., Fuller, J., et al. 2020, ApJ, 905, 32, doi: 10.3847/1538-4357/abc261
2020 doi
-
[21]
B., Marsh, T
Burdge, K. B., Marsh, T. R., Fuller, J., et al. 2022, Nature, 605, 41, doi: 10.1038/s41586-022-04551-1
2022 doi
-
[22]
E., & Kulkarni, S
Camilo, F., Thorsett, S. E., & Kulkarni, S. R. 1994, ApJL, 421, L15, doi: 10.1086/187176
1994 doi
-
[23]
2016, A&A, 594, A31, doi: 10.1051/0004-6361/201629035
Campana, S., Coti Zelati, F., Papitto, A., et al. 2016, A&A, 594, A31, doi: 10.1051/0004-6361/201629035
2016 doi
-
[24]
M., & Han, Z
Chen, H.-L., Chen, X., Tauris, T. M., & Han, Z. 2013, ApJ, 775, 27, doi: 10.1088/0004-637X/775/1/27
2013 doi
-
[25]
I., Gusakov, M
Chugunov, A. I., Gusakov, M. E., & Kantor, E. M. 2017, MNRAS, 468, 291, doi: 10.1093/mnras/stx391
2017 doi
-
[26]
J., Breton, R
Clark, C. J., Breton, R. P., Barr, E. D., et al. 2023, MNRAS, 519, 5590, doi: 10.1093/mnras/stac3742
2023 doi
-
[27]
M., & Lazio, T
Cordes, J. M., & Lazio, T. J. W. 2002, arXiv e-prints, astro. https://arxiv.org/abs/astro-ph/0207156
2002 arXiv
-
[28]
S., Ray, P
Deneva, J. S., Ray, P. S., Camilo, F., et al. 2016, ApJ, 823, 105, doi: 10.3847/0004-637X/823/2/105
2016 doi
-
[29]
Shen, K. J. 2021, MNRAS, 508, 4106, doi: 10.1093/mnras/stab2583
2021 doi
-
[30]
N., Primini, F
Evans, I. N., Primini, F. A., Glotfelty, K. J., et al. 2010, ApJS, 189, 37
2010
-
[31]
A., Page, K
Evans, P. A., Page, K. L., Osborne, J. P., et al. 2020, ApJS, 247, 54
2020
-
[32]
A., Roberts, M
Gentile, P. A., Roberts, M. S. E., McLaughlin, M. A., et al. 2014, ApJ, 783, 69, doi: 10.1088/0004-637X/783/2/69
2014 doi
-
[33]
Green, G. M. 2018, Journal of Open Source Software, 3, 695, doi: 10.21105/joss.00695
2018 doi
-
[34]
2019, The Astrophysical Journal, 887, 93, doi: 10.3847/1538-4357/ab5362
Finkbeiner, D. 2019, The Astrophysical Journal, 887, 93, doi: 10.3847/1538-4357/ab5362
2019 doi
-
[35]
M., Schlafly, E
Green, G. M., Schlafly, E. F., Finkbeiner, D. P., et al. 2014, The Astrophysical Journal, 783, 114, doi: 10.1088/0004-637X/783/2/114
2014 doi
-
[36]
Halpern, J. P. 2022, ApJL, 932, L8, doi: 10.3847/2041-8213/ac746f
2022 doi
-
[37]
P., Perez, K
Halpern, J. P., Perez, K. I., & Bogdanov, S. 2022, ApJ, 935, 151, doi: 10.3847/1538-4357/ac8161
2022 doi
-
[38]
P., Strader, J., & Li, M
Halpern, J. P., Strader, J., & Li, M. 2017, ApJ, 844, 150, doi: 10.3847/1538-4357/aa7cff ZTF Spider Pulsar Sur vey 27
2017 doi
-
[39]
L., Wang, C., Wang, P
Han, J. L., Wang, C., Wang, P. F., et al. 2021, Research in Astronomy and Astrophysics, 21, 107, doi: 10.1088/1674-4527/21/5/107
2021 doi
-
[40]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2
2020 doi
- [41]
-
[42]
Y., Wu, K., Han, Q., Kong, A
Hui, C. Y., Wu, K., Han, Q., Kong, A. K. H., & Tam, P. H. T. 2018, ApJ, 864, 30, doi: 10.3847/1538-4357/aad5ec
2018 doi
-
[43]
Hunter, J. D. 2007, Computing in Science and Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
2007 doi
-
[44]
2023, A&A, 669, A26, doi: 10.1051/0004-6361/202244637
Illiano, G., Papitto, A., Ambrosino, F., et al. 2023, A&A, 669, A26, doi: 10.1051/0004-6361/202244637
2023 doi
-
[45]
D., Deller, A
Jaodand, A. D., Deller, A. T., Gusinskaia, N., et al. 2021, ApJ, 923, 3, doi: 10.3847/1538-4357/ac1ff7
2021 doi
-
[46]
2015, ApJ, 807, 41, doi: 10.1088/0004-637X/807/1/41
Jiang, L., Li, X.-D., Dey, J., & Dey, M. 2015, ApJ, 807, 41, doi: 10.1088/0004-637X/807/1/41
2015 doi
-
[47]
W., Filippenko, A
Kandel, D., Romani, R. W., Filippenko, A. V., Brink, T. G., & Zheng, W. 2020, ApJ, 903, 39, doi: 10.3847/1538-4357/abb6fd
2020 doi
-
[48]
L., Stovall, K., Ransom, S
Kaplan, D. L., Stovall, K., Ransom, S. M., et al. 2012, ApJ, 753, 174, doi: 10.1088/0004-637X/753/2/174
2012 doi
-
[49]
Gilfanov, M. R. 2023, MNRAS, 524, 3020, doi: 10.1093/mnras/stad1992
2023 doi
-
[50]
R., Breton, R
Kennedy, M. R., Breton, R. P., Clark, C. J., et al. 2020, MNRAS, 494, 3912, doi: 10.1093/mnras/staa912
2020 doi
-
[51]
Koljonen, K. I. I., & Linares, M. 2023, MNRAS, 525, 3963, doi: 10.1093/mnras/stad2485
2023 doi
-
[52]
Y., Takata, J., et al
Lee, J., Hui, C. Y., Takata, J., et al. 2023, ApJ, 944, 225, doi: 10.3847/1538-4357/acb5a3
2023 doi
-
[53]
X., Hui, C
Li, K.-L., Jane Yap, Y. X., Hui, C. Y., & Kong, A. K. H. 2021, ApJ, 911, 92, doi: 10.3847/1538-4357/abeb76
2021 doi
-
[54]
Li, K.-L., Kong, A. K. H., Hou, X., et al. 2016, ApJ, 833, 143, doi: 10.3847/1538-4357/833/2/143
2016 doi
-
[55]
2017, MNRAS, 465, 4602, doi: 10.1093/mnras/stw3057
Linares, M., Miles-Páez, P., Rodríguez-Gil, P., et al. 2017, MNRAS, 465, 4602, doi: 10.1093/mnras/stw3057
2017 doi
-
[56]
2022, ApJL, 934, L2, doi: 10.3847/2041-8213/ac7eb6
Liu, X.-J., You, Z.-Q., & Zhu, X.-J. 2022, ApJL, 934, L2, doi: 10.3847/2041-8213/ac7eb6
2022 doi
-
[57]
S., Kong, A
Long, J. S., Kong, A. K. H., Wu, K., et al. 2022, ApJ, 934, 17, doi: 10.3847/1538-4357/ac7720
2022 doi
-
[58]
Lorimer, D. R. 2008, Living Reviews in Relativity, 11, 8, doi: 10.12942/lrr-2008-8
2008 doi
-
[59]
R., Faulkner, A
Lorimer, D. R., Faulkner, A. J., Lyne, A. G., et al. 2006, MNRAS, 372, 777, doi: 10.1111/j.1365-2966.2006.10887.x
2006
-
[60]
N., Hobbs, G
Manchester, R. N., Hobbs, G. B., Teoh, A., & Hobbs, M. 2005, AJ, 129, 1993, doi: 10.1086/428488
2005 doi
-
[61]
J., Laher, R
Masci, F. J., Laher, R. R., Rusholme, B., et al. 2019, PASP, 131, 018003, doi: 10.1088/1538-3873/aae8ac Mata Sánchez, D., Kennedy, M. R., Clark, C. J., et al. 2023, MNRAS, 520, 2217, doi: 10.1093/mnras/stad203
2019 doi
-
[62]
2010, in Proceedings of the 9th Python in Science Conference, ed
McKinney, W. 2010, in Proceedings of the 9th Python in Science Conference, ed. S. van der Walt & J. Millman, doi: 10.25080/majora-92bf1922-00a Miraval Zanon, A., Ambrosino, F., Coti Zelati, F., et al. 2022, A&A, 660, A63, doi: 10.1051/0004-6361/202243180
2010 doi
-
[63]
2011, International Journal of Modern Physics D, 20, 989, doi: 10.1142/S0218271811019335
Nan, R., Li, D., Jin, C., et al. 2011, International Journal of Modern Physics D, 20, 989, doi: 10.1142/S0218271811019335
2011 doi
-
[64]
J., Kandel, D., et al
Nieder, L., Clark, C. J., Kandel, D., et al. 2020, ApJL, 902, L46, doi: 10.3847/2041-8213/abbc02
2020 doi
-
[65]
S., Tam, P
Pal, P. S., Tam, P. H. T., Liang, W., et al. 2020, ApJL, 895, L36, doi: 10.3847/2041-8213/ab92ff
2020 doi
-
[66]
2019, MNRAS, 488, 2892, doi: 10.1093/mnras/stz1876
Pelisoli, I., & Vos, J. 2019, MNRAS, 488, 2892, doi: 10.1093/mnras/stz1876
2019 doi
-
[67]
Perez, F., & Granger, B. E. 2007, Computing in Science and Engineering, 9, 21, doi: 10.1109/MCSE.2007.53
2007 doi
-
[68]
I., Bogdanov, S., Halpern, J
Perez, K. I., Bogdanov, S., Halpern, J. P., & Gajjar, V. 2023, ApJ, 952, 150, doi: 10.3847/1538-4357/acdc23
2023 doi
-
[69]
J., Breton, R
Polzin, E. J., Breton, R. P., Bhattacharyya, B., et al. 2020, MNRAS, 494, 2948, doi: 10.1093/mnras/staa596
2020 doi
-
[70]
J., Breton, R
Polzin, E. J., Breton, R. P., Clarke, A. O., et al. 2018, MNRAS, 476, 1968, doi: 10.1093/mnras/sty349
2018 doi
-
[71]
1982, Current Science, 51, 1096
Radhakrishnan, V., & Srinivasan, G. 1982, Current Science, 51, 1096
1982
-
[72]
2023, ApJS, 264, 39, doi: 10.3847/1538-4365/aca09e
Ren, L., Li, C., Ma, B., et al. 2023, ApJS, 264, 39, doi: 10.3847/1538-4365/aca09e
2023 doi
-
[73]
W., Graham, M
Romani, R. W., Graham, M. L., Filippenko, A. V., & Kerr, M. 2015, ApJL, 809, L10, doi: 10.1088/2041-8205/809/1/L10
2015 doi
-
[74]
W., & Shaw, M
Romani, R. W., & Shaw, M. S. 2011, ApJL, 743, L26, doi: 10.1088/2041-8205/743/2/L26
2011 doi
-
[75]
Shahbaz, T., Linares, M., & Breton, R. P. 2017, MNRAS, 472, 4287, doi: 10.1093/mnras/stx2195
2017 doi
-
[76]
2019, MNRAS, 488, 198, doi: 10.1093/mnras/stz1652
Shahbaz, T., Linares, M., Rodríguez-Gil, P., & Casares, J. 2019, MNRAS, 488, 198, doi: 10.1093/mnras/stz1652
2019 doi
-
[77]
2022, A&A, 666, A142, doi: 10.1051/0004-6361/202244037
Skarka, M., Žák, J., Fedurco, M., et al. 2022, A&A, 666, A142, doi: 10.1051/0004-6361/202244037
2022 doi
-
[78]
W., Archibald, A
Stappers, B. W., Archibald, A. M., Hessels, J. W. T., et al. 2014, ApJ, 790, 39, doi: 10.1088/0004-637X/790/1/39
2014 doi
- [79]
-
[80]
J., Strader, J., Aydi, E., et al
Swihart, S. J., Strader, J., Aydi, E., et al. 2022a, ApJ, 926, 201, doi: 10.3847/1538-4357/ac4ae4 —. 2021, ApJ, 909, 185, doi: 10.3847/1538-4357/abe1be
2021 doi
-
[81]
J., Strader, J., Chomiuk, L., et al
Swihart, S. J., Strader, J., Chomiuk, L., et al. 2022b, ApJ, 941, 199, doi: 10.3847/1538-4357/aca2ac 28 Lu et al
-
[82]
L., Leung, G
Takata, J., Li, K. L., Leung, G. C. K., et al. 2014, ApJ, 785, 131, doi: 10.1088/0004-637X/785/2/131
2014 doi
-
[83]
J., Breton, R
Thongmeearkom, T., Clark, C. J., Breton, R. P., et al. 2024, MNRAS, 530, 4676, doi: 10.1093/mnras/stae787 Van Staden, A. 2023, Monthly Notes of the Astronomical Society of South Africa, 81, 161
2024 doi
-
[84]
Veledina, A., Nättilä, J., & Beloborodov, A. M. 2019, ApJ, 884, 144, doi: 10.3847/1538-4357/ab44c6
2019 doi
-
[85]
Verbiest, J. P. W., Weisberg, J. M., Chael, A. A., Lee, K. J., & Lorimer, D. R. 2012, ApJ, 755, 39, doi: 10.1088/0004-637X/755/1/39
2012 doi
-
[86]
Verbiest, J. P. W., Bailes, M., Coles, W. A., et al. 2009, MNRAS, 400, 951, doi: 10.1111/j.1365-2966.2009.15508.x
2009
-
[87]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2
2020 doi
-
[88]
R., Breton, R
Voisin, G., Kennedy, M. R., Breton, R. P., Clark, C. J., & Mata-Sánchez, D. 2020, MNRAS, 499, 1758, doi: 10.1093/mnras/staa2876
2020 doi
-
[89]
J., et al
Wang, P., Li, D., Clark, C. J., et al. 2021, Science China
2021
-
[90]
Physics, Mechanics, and Astronomy, 64, 129562, doi: 10.1007/s11433-021-1757-5
-
[91]
C., Crossland, A., et al
Wang, Y., Bellm, E. C., Crossland, A., et al. 2024, ApJ, 962, 91, doi: 10.3847/1538-4357/ad0fe4
2024 doi
-
[92]
2020, MNRAS, 493, 4845, doi: 10.1093/mnras/staa655
Wang, Z., Xing, Y., Zhang, J., et al. 2020, MNRAS, 493, 4845, doi: 10.1093/mnras/staa655
2020 doi
-
[93]
S., Saxton, R
Warwick, R. S., Saxton, R. D., & Read, A. M. 2012, A&A, 548, A99
2012
-
[94]
A., Coriat, M., Traulsen, I., et al
Webb, N. A., Coriat, M., Traulsen, I., et al. 2020, A&A, 641, A136
2020
-
[95]
Xing, Y., Wang, Z., & Ng, C. Y. 2014, ApJ, 795, 88, doi: 10.1088/0004-637X/795/1/88
2014 doi
- [96]
-
[97]
GAIA GEOMETRIC DISTANCE
Zyuzin, D. A., Kirichenko, A. Y., Karpova, A. V., et al. 2024, MNRAS, 527, 6712, doi: 10.1093/mnras/stad3552 ZTF Spider Pulsar Sur vey 29 APPENDIX A. GAIA DISTANCE ESTIMATION InordertoascertaintheopticalluminosityofthepulsarsamplefortheSpiderPulsar, itisimperativetodetermineth...
2023 doi
Reviewed August 11, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.