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A targeted search for binary white dwarf pulsars using Gaia and WISE

T0 review · 0 major / 5 minor · reviewed 2026-08-15 · deepseek-v4-flash

Pith's one-line read A targeted search using Gaia and WISE data finds that binary white dwarf pulsars like AR Sco are rare: among 56 selected candidates, only one new member of the class, J191213.72-441045.1, was identified.

desk verdict A careful, sample-scoped search for AR Sco analogs that finds exactly one new pulsar (already reported) and a useful contaminant census; selection completeness is unquantified but honestly acknowledged. read the letter →

arxiv 2505.04693 v1 pith:6QYYFJ22 submitted 2025-05-07 astro-ph.SR

classification astro-ph.SR
keywords binarywhitedwarfpulsarARScorpiiGaiacolour-magnitudediagramWISEinfraredvariabilityyoungstellarobjectscataclysmicvariablesintermediatepolar
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 asks whether the white dwarf pulsar AR Scorpii is a one-off or the first member of a population. It builds a candidate list by combining a Gaia colour-magnitude position between the main sequence and the white-dwarf cooling track with WISE infrared variability and a W1-W2 colour cut calibrated on AR Sco, then follows up 26 previously uncharacterised systems with archival photometry, high-speed photometry, and spectroscopy. The result is that, apart from the newly discovered J191213.72-441045.1, which the paper reports in a separate work, no other candidate shows AR Sco-like pulsing behaviour. The contaminants turn out to be mostly young stellar objects and cataclysmic variables. If correct, this constrains the population of binary white dwarf pulsars to be very small and suggests that a narrow range of orbital and stellar properties is needed to produce the pulsed non-thermal emission.

What carries the argument

The load-bearing selection mechanism is the AR Sco proxy: a position in the Gaia colour-magnitude diagram (brightness versus colour) between the main sequence and the white-dwarf cooling track, a WISE variability flag (a catalogue digit indicating infrared variability) of at least 7, and a WISE W1-W2 colour (3.4 micron minus 4.6 micron magnitude) greater than 0.5. These cuts separate the 56 candidates from the general Gaia and WISE populations and carry the argument because they are calibrated on a single prototype. The classification step then rests on archival time-series photometry, high-speed photometry, and optical spectroscopy, which assign the 26 newly characterised systems to known classes and reveal whether any show the few-minute pulsing that defines the white dwarf pulsar phenomenon.

What would settle it

Redo the search keeping the Gaia colour-magnitude selection but dropping the W1-W2 greater than 0.5 cut and lowering the WISE variability flag threshold to 5 or below, then classify the larger sample; if additional AR Sco analogues appear, the reported null conclusion is an artifact of the infrared cuts.

Watch

Extended reading notes

Core claim

The central claim is that binary white dwarf pulsars of the AR Sco type are scarce. Using a selection built from AR Sco's observed properties - lying between the main sequence and the white-dwarf cooling track in the Gaia colour-magnitude diagram, showing infrared variability with a WISE variability flag of at least 7, and having W1-W2 colour greater than 0.5 - the paper identifies 56 candidates. Among the 26 previously uncharacterised systems, follow-up classified ten as young stellar objects, three as polars, one as an intermediate polar, and three as likely non-magnetic cataclysmic variables; seven showed no detectable optical variability. One object, J191213.72-441045.1, is confirmed as a second binary white dwarf pulsar and is described in detail in a companion paper. The paper concludes that aside from this one new system, nothing in the sample behaves like AR Sco.

Load-bearing premise

The load-bearing assumption is that the WISE selection cuts derived from AR Sco alone - a variability flag of at least 7 and W1-W2 greater than 0.5 - capture all or most genuine binary white dwarf pulsars; a member of the class with weaker infrared variability or with W1-W2 below 0.5 would be absent from the sample, and the reported null result would be an artifact of the cuts.

Editorial extensions

If this is right

  • The class of binary white dwarf pulsars is, at best, extremely sparse: only one new member, J191213.72-441045.1, emerges from 56 purpose-selected candidates.
  • The AR Sco selection criteria do work in the sense of finding an AR Sco analogue, but they are heavily contaminated: ten young stellar objects and seven cataclysmic variables were recovered among the 26 uncharacterised systems.
  • Three newly classified polars and one intermediate polar add to the known magnetic cataclysmic variable population, with the intermediate polar J0452+3017 having the shortest known orbital period of its class.
  • The fact that J1912-4410 sits close to AR Sco in the colour-magnitude diagram, while the other systems lie nearer the main sequence or white-dwarf track, suggests that only a narrow range of stellar and orbital parameters triggers the pulsed radio emission.
  • Future searches should focus on the narrow AR Sco region and relax or remove the infrared criteria, since infrared variability mainly picks up young stellar objects rather than white dwarf pulsars.

Reading between the lines

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

  • If the crystallisation-dynamo model needs binary white dwarf pulsars as a short-lived link between intermediate polars and polars, the rarity implied here may mean the phase is brief or that only a small subset of IPs pass through it; a population-synthesis calculation along that model's lines could be checked against this null result.
  • The heavy contamination by young stellar objects suggests that a radio-based or X-ray-based search could complement the infrared selection; many radio transients are now known to host white dwarf binaries, so transient radio surveys may be a testable way to enlarge the class.
  • Because the W1-W2 and variability cuts are derived from one object, systems in which the companion dilutes the infrared excess or the magnetic interaction is weaker could be missed; a re-run of the same Gaia colour-magnitude selection without the WISE colour and variability cuts would test how many AR Sco analogues hide just outside the cuts.
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Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

0 major / 5 minor

Summary. The paper reports a targeted search for binary white dwarf pulsars similar to AR Sco. Using Gaia eDR3 colour-magnitude and quality cuts (Eqs. 1-10) followed by WISE infrared variability and colour cuts (Section 2.2), the authors select 56 candidates, 30 of which are already known as polars, intermediate polars, or young stellar objects. The remaining 26 previously uncharacterised systems are followed up with archival TESS, ZTF, ATLAS, and CRTS photometry, ULTRACAM/ULTRASPEC high-speed photometry, and spectroscopy from XSHOOTER, OSIRIS, INT/IDS, FLOYDS, and SOAR. The follow-up classifies ten objects as YSOs, three as new polars, one as an intermediate polar, and three as likely non-magnetic CVs; seven systems remain unclassified, and one was not followed up because of blending. The single new binary white dwarf pulsar, J1912-4410, was already reported in a separate publication. The paper concludes that no other systems in the selected sample have characteristics akin to AR Sco.

Significance. If the result holds, the paper provides a useful observational constraint on the rarity of binary white dwarf pulsars and sharpens the motivation for future, less biased searches. The follow-up is unusually thorough: archival time series from four independent surveys are combined with high-speed photometry and multi-telescope spectroscopy, and periods are cross-checked between datasets. The newly classified systems are individually valuable, including a candidate shortest-period intermediate polar, new polars, and period-gap CVs. The main caveat is that the selection criteria were tuned to the single known object AR Sco, so the null result is a sample-scoped upper limit rather than a direct measurement of the space density of such systems; the paper mostly states this correctly, but one or two sentences could make the scope of the null result even more explicit.

minor comments (5)
  1. [Section 2.2 / Abstract] The WISE thresholds (variability flag digit >= 7 and W1-W2 > 0.5) are explicitly tuned to AR Sco and discard 788 variable candidates, so the abstract's statement 'we find no other systems whose characteristics are akin to AR Sco' should be tied to the selection, for example by adding 'among the 56 candidates satisfying our AR-Sco-tuned criteria'.
  2. [Section 4.2.2] The text says that 21 spectra of J0452+3017 were obtained with 3600-sec exposure times in a 2.5-hour observing block; this is internally inconsistent (21 x 3600 s is about 21 hours), so either the exposure time or the number of spectra needs to be corrected.
  3. [Eqs. (9)-(10)] The quantity M'_G is used in the selection but is only defined in prose; please define it explicitly in the equation block, including the zero-point parallax correction used.
  4. [Section 5.5 / Table 4] For the seven systems with no optical variability, the conclusion that they are not binary white dwarf pulsars would be strengthened by stating the detection limits, because the ULTRACAM/ULTRASPEC runs vary in length from about 16 to 184 minutes and could miss longer-period or low-amplitude pulsed signals.
  5. [Appendix A] The entry for Gaia DR2 1956566510538468224 reports an orbital period of '2.002757(38)± hours'; the symbol is misplaced and should read '2.002757(38) h' or '2.002757 ± 0.000038 h'.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the search is intentionally tuned to AR Sco, but the null result is a scoped observational classification supported by independent follow-up data.

full rationale

The paper's selection criteria are explicitly anchored to AR Sco, e.g. 'The limits were tailored to recover AR Sco' (Section 2.1) and 'AR Sco ... motivated the selection W1−W2 > 0.5' (Section 2.2). This makes the search deliberately biased, but it does not make the paper's claim circular. The headline result is a scoped observational statement about the 56 candidates, not a derivation of a general physical absence from the fitted cuts. The classifications of the 26 previously uncharacterised systems rest on independent spectroscopy (XSHOOTER, OSIRIS, IDS, FLOYDS, Goodman) and high-speed photometry (ULTRACAM/ULTRASPEC), plus archival TESS, ZTF, ATLAS and CRTS light curves. The one discovered pulsar, J1912-4410, is reported in separately published works (Pelisoli et al. 2023; Schwope et al. 2023b) with independent optical, radio and X-ray detections, so the relevant self-citations are external observational evidence rather than a self-supporting argument. The paper also acknowledges the obvious completeness limitation: 'Future searches might benefit from focussing on this region and relaxing or removing infrared criteria' (Section 6). That is a selection-effect caveat, not a circular reduction of the null result to the selection. No fitted parameter is repackaged as a prediction, and no equation reduces to its own input.

Assumptions & free parameters 4 free parameters · 5 assumptions · 0 invented entities

The central claim (no additional AR Sco analogues among 56 Gaia/WISE-selected candidates) rests on selection thresholds chosen from AR Sco and on literature classifications. No new physical entities are introduced.

free parameters (4)
  • WISE W1-W2 color cut = > 0.5
    Chosen so that AR Sco (W1-W2 = 0.685 in AllWISE, Fig. 3) is included; this threshold defines the candidate sample and therefore the null result.
  • WISE variability flag threshold = >= 7
    Chosen because AR Sco has flags 9999 (WISE) and 8866 (AllWISE); used to select variable candidates.
  • Gaia CMD boundary coefficients (Eqs. 9-10) = M_G' < 5.25 + 7*((BP-RP)+0.45)^2/5; M_G' > 4.45 - 5.15*(1-exp(0.35*(BP-RP)))
    Tailored to approximately fit the 0.99 percentiles of the main sequence and white dwarfs, thus defining the CMD island around AR Sco.
  • Parallax and flux quality cuts (Eqs. 3-5) = parallax/error > 10; F_BP/error > 9; F_RP/error > 9
    The flux limits are tailored to recover AR Sco, which has F_BP/sigma = 9.94 due to variability.
assumptions (5)
  • domain assumption The selection criteria derived from AR Sco are adequate to recover AR Sco-like binary white dwarf pulsars.
    The entire survey completeness depends on this; stated in Section 2 where cuts are 'tailored to recover AR Sco'.
  • domain assumption WISE variability flags and W1-W2 excess trace non-thermal emission or other pulsar-relevant properties in white dwarf binaries.
    W1-W2 > 0.5 is used as a proxy for non-thermal contribution, based on AR Sco standing out in Fig. 3; only one object informs this.
  • domain assumption No AR Sco-like pulsar would lack optical variability over the observed baselines.
    Seven systems with no optical variability were excluded from pulsar candidacy (Section 5.5); AR Sco and J1912-4410 are optically pulsed, so this is plausible but not proven for the whole class.
  • domain assumption Published classifications for the 30 previously known candidates are correct.
    The paper relies on literature classes (polars, YSOs, IPs) rather than re-observing all of them; Appendix A lists references.
  • domain assumption Spectral classification templates for YSOs and CVs are reliable for the newly observed objects.
    Classifications in Section 5 are based on line profiles, variability, and association memberships, with some objects labeled 'likely'.

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Pith. "Pith review of A targeted search for binary white dwarf pulsars using Gaia and WISE." pith.science (2026). https://pith.science/paper/6QYYFJ22

@misc{pith2026250504693,
  author       = {Pith},
  title        = {Pith review of: A targeted search for binary white dwarf pulsars using Gaia and WISE},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/6QYYFJ22}},
  note         = {Machine review of arXiv:2505.04693}
}
read the original abstract

After its discovery in 2016, the white dwarf binary AR Scorpii (AR Sco) remained for several years the only white dwarf system to show pulsed radio emission associated with a fast-spinning white dwarf. The evolutionary origin and the emission mechanism for AR Sco are not completely understood, with different models proposed. Testing and improving these models requires observational input. Here we report the results of a targeted search for other binary white dwarf pulsars like AR Sco. Using data from Gaia and WISE, we identified 56 candidate systems with similar properties to AR Sco, of which 26 were previously uncharacterised. These were subject to spectroscopic and photometric follow-up observations. Aside from one new binary white dwarf pulsar found, J191213.72-441045.1, which was reported in a separate work, we find no other systems whose characteristics are akin to AR Sco. The newly characterised systems are primarily young stellar objects (with 10 found) or cataclysmic variables (7 identifications), with the remaining being either blended or non-variable on short timescales.

Figures

Figures reproduced from arXiv: 2505.04693 by the authors.

Figure 1
Figure 1. The first step in the candidate selection, using Gaia only. The red star shows the position of AR Sco. Our initial selection is marked by the black dotted lines. The lower 𝑀𝐺 limit was defined to exclude hot subdwarf stars, and the upper 𝐺𝐵𝑃 − 𝐺𝑅𝑃 limit aims at excluding low-mass main sequence stars and brown dwarfs. The objects initially selected are shown in light grey, whereas in dark grey we show the population … view at source ↗
Figure 3
Figure 3. Colour-colour diagrams showing Gaia 𝐺 - 𝑊1 versus 𝑊1 − 𝑊2 for objects in the Gaia selection that have WISE (top) or AllWISE (bottom) data. The red star shows the location of AR Sco, which motivated the selection 𝑊1 − 𝑊2 > 0.5 (red dashed line). terised, that is, they are only mentioned as candidates or detections. We first assessed the available archival data for these systems, as described in Section 3.2. 3.1 Known… view at source ↗
Figure 4
Figure 4. The eight systems showing periodic variability in TESS data. In each case, the left panel shows the periodogram, with the horizontal red dashed line indicating an average 5-𝜎 detection limit. The blue shaded area indicates the dominant period, with the data folded to that period showed on the right panels in grey dots. The black filled circles show the data averaged to 100 phase bins (the zeropoint of phase was arbi… view at source ↗
Figures from the paper (16 more)
Figure 5
Figure 5. Figure 5: J1301-4702, which shows both aperiodic variability (clear in the top panel) and potential periodic variability as suggested in the bottom panels (left is the periodogram, right the phase folded light curve). The potential period (indicated by the blue shading) is above…
Figure 7
Figure 7. Figure 7: Light curves for the five systems that show aperiodic variability in ZTF. found to vary with other surveys), whereas the remaining four systems showed no detectable variability. 4 FOLLOW-UP OBSERVATIONS AND ANALYSIS 4.1 High-speed time-series photometry The cadence and…
Figure 6
Figure 6. Figure 6: Light curves for the three systems showing aperiodic variability in TESS data. The big change in amplitude for J0657-0615 could be due to a change in state between the two observations; however, given the large pixel size of TESS, the change could also be explained by …
Figure 10
Figure 10. Figure 10: The 𝑔 band light curves (left panels) and periodogram (rightmost panel) for J0156-8358 (top) and J0354-1652 (bottom). No periods stand out from the background. The period detected in archival data for J0354-1652 is indicated by a vertical dashed line. variable the nex…
Figure 9
Figure 9. Figure 9: Light curves for the two systems showing aperiodic variability not detected in TESS but detected in ATLAS. with a beam splitter that allows simultaneous observations in three filters. ULTRASPEC is installed on the 2.4-m Thai National Tele￾scope (TNT) and observes only …
Figure 11
Figure 11. Figure 11: The light curves (left panels), periodogram (middle) and running Fourier transform (right) for the 𝑔 data of J0428-3300 (top four panels, in green) and 𝑟 data of J0435-7527 (bottom two panels, in red). Both systems show a peak in the periodogram (indicated by dashed v…
Figure 12
Figure 12. Figure 12: 𝑔-band light curves (left panels) and periodogram (rightmost panel, only including the two last nights of data) of J1425-6837. In the first two nights the system has very low signal and was barely above the readout noise. The following year it was over a magnitude bri…
Figure 13
Figure 13. Figure 13: The 𝑔 light curve of J0452+3017 (left panel), with an inset zoom￾ing in on the visible pulses. The right panel shows the periodogram with the newly detected period indicated by a vertical dashed line, and the period found with archival data shown by the solid grey lin…
Figure 15
Figure 15. Figure 15 [PITH_FULL_IMAGE:figures/full_fig_p012_15.png]
Figure 14
Figure 14. Figure 14: The 𝑔-band light curves (left panels) and periodogram (rightmost panel) for the six systems showing low-level aperiodic variability and flaring. For J0657-0615, which appeared constant on the second night, only the first night is included in the Fourier transform. The…
Figure 16
Figure 16. Figure 16: The top panel shows the co-added spectrum of J0452+3017 (tel￾luric absorption lines are indicated by red dashed lined). The bottom panel shows the trailed spectra, which show that the radial velocity of the emission lines is changing periodically. tra are shown in [P…
Figure 17
Figure 17. Figure 17: The radial velocities (top) and ULTRASPEC photometry (bottom) for J0452+3017 folded to the same orbital ephemeris given in Equation 11. The red dashed line in the top panel shows the fit to the radial velocities [PITH_FULL_IMAGE:figures/full_fig_p013_17.png]
Figure 20
Figure 20. Figure 20: Co-added (top) and trailed (middle) spectra for J1301-4702, and the two spectra of J1305-5502, obtained with SOAR. consistent with T Tauri stars. Another system that is likely a YSO is J0539+0824, which showed variability with no determined period in archival data ( …
Figure 18
Figure 18. Figure 18: Spectra for J0408+6046 (top) and J1828+2823 (bottom) obtained with INT/IDS [PITH_FULL_IMAGE:figures/full_fig_p013_18.png]
Figure 19
Figure 19. Figure 19: FLOYDS spectra of J1917-1231. 5 RESULTS AND DISCUSSION 5.1 Young stellar objects Our follow-up observations suggest that ten out of the 26 previously uncharacterised objects are consistent with YSOs. J0408+6046 and J1917-1231 can be classified as Herbig Ae stars based…
Figure 21
Figure 21. Figure 21: The location in the Gaia colour-magnitude diagram of the 56 binary white dwarf pulsar candidates. AR Sco is the yellow star and J1912-4410, discovered as a result of this work, is the blue star. Polars are shown as green circles, one IPs as a magenta squares, and red …

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Works this paper leans on

102 extracted references · 18 canonical work pages

  1. [1]

    J., Mason P

    Barrett P., Dieck C., Beasley A. J., Mason P. A., Singh K. P., 2020, @doi [Advances in Space Research] 10.1016/j.asr.2020.04.007 , https://ui.adsabs.harvard.edu/abs/2020AdSpR..66.1226B 66, 1226

  2. [2]

    Barwig H., Ritter H., Barnbantner O., 1994, , https://ui.adsabs.harvard.edu/abs/1994A&A...288..204B 288, 204

  3. [3]

    C., et al., 2019, @doi [ ] 10.1088/1538-3873/aaecbe , https://ui.adsabs.harvard.edu/abs/2019PASP..131a8002B 131, 018002

    Bellm E. C., et al., 2019, @doi [ ] 10.1088/1538-3873/aaecbe , https://ui.adsabs.harvard.edu/abs/2019PASP..131a8002B 131, 018002

  4. [4]

    Bera P., Bhattacharya D., 2018, @doi [ ] 10.1093/mnras/stx2720 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.474.1629B 474, 1629

  5. [5]

    Bernardini F., de Martino D., Mukai K., Falanga M., 2014, @doi [ ] 10.1093/mnras/stu1819 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.445.1403B 445, 1403

  6. [6]

    M., et al., 2020, @doi [ ] 10.1051/0004-6361/201935741 , https://ui.adsabs.harvard.edu/abs/2020A&A...633A.145B 633, A145

    Bonnet-Bidaud J. M., et al., 2020, @doi [ ] 10.1051/0004-6361/201935741 , https://ui.adsabs.harvard.edu/abs/2020A&A...633A.145B 633, A145

  7. [7]

    A., Lamb D

    Bookbinder J. A., Lamb D. Q., 1987, @doi [ ] 10.1086/185072 , https://ui.adsabs.harvard.edu/abs/1987ApJ...323L.131B 323, L131

  8. [8]

    Brice \ n o C., et al., 2019, @doi [ ] 10.3847/1538-3881/aaf79b , https://ui.adsabs.harvard.edu/abs/2019AJ....157...85B 157, 85

Show all 102 references
  1. [9]

    C \'a novas H., et al., 2019, @doi [ ] 10.1051/0004-6361/201935321 , https://ui.adsabs.harvard.edu/abs/2019A&A...626A..80C 626, A80

  2. [10]

    Cantat-Gaudin T., et al., 2018, @doi [ ] 10.1051/0004-6361/201833476 , https://ui.adsabs.harvard.edu/abs/2018A&A...618A..93C 618, A93

  3. [11]

    Cantat-Gaudin T., et al., 2020, @doi [ ] 10.1051/0004-6361/202038192 , https://ui.adsabs.harvard.edu/abs/2020A&A...640A...1C 640, A1

  4. [12]

    Cepa J., et al., 2003, in Iye M., Moorwood A. F. M., eds, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series Vol. 4841, Instrument Design and Performance for Optical/Infrared Ground-based Telescopes. pp 1739--1749, @doi 10.1117/12.460913

  5. [13]

    L., K \"o rding E

    Coppejans D. L., K \"o rding E. G., Miller-Jones J. C. A., Rupen M. P., Knigge C., Sivakoff G. R., Groot P. J., 2015, @doi [ ] 10.1093/mnras/stv1225 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.451.3801C 451, 3801

  6. [14]

    Cropper M., 1990, @doi [ ] 10.1007/BF00177799 , https://ui.adsabs.harvard.edu/abs/1990SSRv...54..195C 54, 195

  7. [15]

    M., et al., 2021, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2014yCat.2328....0C p

    Cutri R. M., et al., 2021, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2014yCat.2328....0C p. II/328

  8. [16]

    S., et al., 2007, @doi [ ] 10.1111/j.1365-2966.2007.11881.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.378..825D 378, 825

    Dhillon V. S., et al., 2007, @doi [ ] 10.1111/j.1365-2966.2007.11881.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.378..825D 378, 825

  9. [17]

    S., et al., 2014, @doi [ ] 10.1093/mnras/stu1660 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.444.4009D 444, 4009

    Dhillon V. S., et al., 2014, @doi [ ] 10.1093/mnras/stu1660 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.444.4009D 444, 4009

  10. [18]

    J., et al., 2009, @doi [ ] 10.1088/0004-637X/696/1/870 , https://ui.adsabs.harvard.edu/abs/2009ApJ...696..870D 696, 870

    Drake A. J., et al., 2009, @doi [ ] 10.1088/0004-637X/696/1/870 , https://ui.adsabs.harvard.edu/abs/2009ApJ...696..870D 696, 870

  11. [19]

    J., et al., 2017, @doi [ ] 10.1093/mnras/stx1085 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.469.3688D 469, 3688

    Drake A. J., et al., 2017, @doi [ ] 10.1093/mnras/stx1085 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.469.3688D 469, 3688

  12. [20]

    D., et al., 2019, @doi [ ] 10.1088/1538-3873/ab291c , https://ui.adsabs.harvard.edu/abs/2019PASP..131i4502F 131, 094502

    Feinstein A. D., et al., 2019, @doi [ ] 10.1088/1538-3873/ab291c , https://ui.adsabs.harvard.edu/abs/2019PASP..131i4502F 131, 094502

  13. [21]

    T., Bailey J., Hough J

    Ferrario L., Wickramasinghe D. T., Bailey J., Hough J. H., Tuohy I. R., 1992, @doi [ ] 10.1093/mnras/256.2.252 , https://ui.adsabs.harvard.edu/abs/1992MNRAS.256..252F 256, 252

  14. [22]

    Ferrario L., Wickramasinghe D., Bailey J., Buckley D., 1995, @doi [ ] 10.1093/mnras/273.1.17 , https://ui.adsabs.harvard.edu/abs/1995MNRAS.273...17F 273, 17

  15. [23]

    R., Cumming A., Castro-Tapia M., Anders E

    Fuentes J. R., Cumming A., Castro-Tapia M., Anders E. H., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2301.04273 , https://ui.adsabs.harvard.edu/abs/2023arXiv230104273F p. arXiv:2301.04273

  16. [24]

    Gagn \'e J., et al., 2015, @doi [ ] 10.1088/0067-0049/219/2/33 , https://ui.adsabs.harvard.edu/abs/2015ApJS..219...33G 219, 33

  17. [25]

    M., Littlefield C., Potter S

    Gaibor Y., Garnavich P. M., Littlefield C., Potter S. B., Buckley D. A. H., 2020, @doi [ ] 10.1093/mnras/staa1901 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.496.4849G 496, 4849

  18. [26]

    Geng J.-J., Zhang B., Huang Y.-F., 2016, @doi [ ] 10.3847/2041-8205/831/1/L10 , https://ui.adsabs.harvard.edu/abs/2016ApJ...831L..10G 831, L10

  19. [27]

    P., et al., 2019, @doi [ ] 10.1093/mnras/sty3016 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.482.4570G 482, 4570

    Gentile Fusillo N. P., et al., 2019, @doi [ ] 10.1093/mnras/sty3016 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.482.4570G 482, 4570

  20. [28]

    P., et al., 2021, @doi [ ] 10.1093/mnras/stab2672 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.508.3877G 508, 3877

    Gentile Fusillo N. P., et al., 2021, @doi [ ] 10.1093/mnras/stab2672 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.508.3877G 508, 3877

  21. [29]

    Ginzburg S., Fuller J., Kawka A., Caiazzo I., 2022, @doi [ ] 10.1093/mnras/stac1363 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.514.4111G 514, 4111

  22. [30]

    A., et al., 2020, @doi [Research Notes of the American Astronomical Society] 10.3847/2515-5172/abbe23 , https://ui.adsabs.harvard.edu/abs/2020RNAAS...4..175G 4, 175

    Gordon Y. A., et al., 2020, @doi [Research Notes of the American Astronomical Society] 10.3847/2515-5172/abbe23 , https://ui.adsabs.harvard.edu/abs/2020RNAAS...4..175G 4, 175

  23. [31]

    A., et al., 2021, @doi [ ] 10.3847/1538-4365/ac05c0 , https://ui.adsabs.harvard.edu/abs/2021ApJS..255...30G 255, 30

    Gordon Y. A., et al., 2021, @doi [ ] 10.3847/1538-4365/ac05c0 , https://ui.adsabs.harvard.edu/abs/2021ApJS..255...30G 255, 30

  24. [32]

    E., et al., 2019, @doi [ ] 10.1051/0004-6361/201832577 , https://ui.adsabs.harvard.edu/abs/2019A&A...622A.149G 622, A149

    Gro schedl J. E., et al., 2019, @doi [ ] 10.1051/0004-6361/201832577 , https://ui.adsabs.harvard.edu/abs/2019A&A...622A.149G 622, A149

  25. [33]

    P., Thorstensen J

    Halpern J. P., Thorstensen J. R., 2015, @doi [ ] 10.1088/0004-6256/150/6/170 , https://ui.adsabs.harvard.edu/abs/2015AJ....150..170H 150, 170

  26. [34]

    M., 2020, @doi [Advances in Space Research] 10.1016/j.asr.2019.10.022 , https://ui.adsabs.harvard.edu/abs/2020AdSpR..66.1004H 66, 1004

    Hameury J. M., 2020, @doi [Advances in Space Research] 10.1016/j.asr.2019.10.022 , https://ui.adsabs.harvard.edu/abs/2020AdSpR..66.1004H 66, 1004

  27. [35]

    L., Rebull L

    Harvey P., Mer \' n B., Huard T. L., Rebull L. M., Chapman N., Evans Neal J. I., Myers P. C., 2007, @doi [ ] 10.1086/518646 , https://ui.adsabs.harvard.edu/abs/2007ApJ...663.1149H 663, 1149

  28. [36]

    H., 1960, @doi [ ] 10.1086/190050 , https://ui.adsabs.harvard.edu/abs/1960ApJS....4..337H 4, 337

    Herbig G. H., 1960, @doi [ ] 10.1086/190050 , https://ui.adsabs.harvard.edu/abs/1960ApJS....4..337H 4, 337

  29. [37]

    Hurley-Walker N., et al., 2024, @doi [ ] 10.3847/2041-8213/ad890e , https://ui.adsabs.harvard.edu/abs/2024ApJ...976L..21H 976, L21

  30. [38]

    Inight K., et al., 2023, @doi [ ] 10.1093/mnras/stad2018 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.4867I 524, 4867

  31. [39]

    Isern J., Garc \' a-Berro E., K \"u lebi B., Lor \'e n-Aguilar P., 2017, @doi [ ] 10.3847/2041-8213/aa5eae , https://ui.adsabs.harvard.edu/abs/2017ApJ...836L..28I 836, L28

  32. [40]

    C., Rawat N., Raj A., Wang W., Singh H

    Joshi A., Pandey J. C., Rawat N., Raj A., Wang W., Singh H. P., 2022, @doi [ ] 10.3847/1538-3881/ac6026 , https://ui.adsabs.harvard.edu/abs/2022AJ....163..221J 163, 221

  33. [41]

    R., 1989, @doi [ ] 10.1093/mnras/241.3.365 , https://ui.adsabs.harvard.edu/abs/1989MNRAS.241..365K 241, 365

    King A. R., 1989, @doi [ ] 10.1093/mnras/241.3.365 , https://ui.adsabs.harvard.edu/abs/1989MNRAS.241..365K 241, 365

  34. [42]

    E., 1982, , https://ui.adsabs.harvard.edu/abs/1982A&A...114L...4K 114, L4

    Kuijpers J., Pringle J. E., 1982, , https://ui.adsabs.harvard.edu/abs/1982A&A...114L...4K 114, L4

  35. [43]

    J., Mamajek E

    Kun M., Balog Z., Kenyon S. J., Mamajek E. E., Gutermuth R. A., 2009, @doi [ ] 10.1088/0067-0049/185/2/451 , https://ui.adsabs.harvard.edu/abs/2009ApJS..185..451K 185, 451

  36. [44]

    Lindegren L., et al., 2021, @doi [ ] 10.1051/0004-6361/202039653 , https://ui.adsabs.harvard.edu/abs/2021A&A...649A...4L 649, A4

  37. [45]

    L., Esplin T

    Luhman K. L., Esplin T. L., 2020, @doi [ ] 10.3847/1538-3881/ab9599 , https://ui.adsabs.harvard.edu/abs/2020AJ....160...44L 160, 44

  38. [46]

    L., Herrmann K

    Luhman K. L., Herrmann K. A., Mamajek E. E., Esplin T. L., Pecaut M. J., 2018, @doi [ ] 10.3847/1538-3881/aacc6d , https://ui.adsabs.harvard.edu/abs/2018AJ....156...76L 156, 76

  39. [47]

    R., Lawson W

    Lyo A. R., Lawson W. A., Bessell M. S., 2008, @doi [ ] 10.1111/j.1365-2966.2008.13688.x , https://ui.adsabs.harvard.edu/abs/2008MNRAS.389.1461L 389, 1461

  40. [48]

    Mainzer A., et al., 2011, @doi [ ] 10.1088/0004-637X/731/1/53 , https://ui.adsabs.harvard.edu/abs/2011ApJ...731...53M 731, 53

  41. [49]

    R., 1989, @doi [ ] 10.1086/132570 , https://ui.adsabs.harvard.edu/abs/1989PASP..101.1032M 101, 1032

    Marsh T. R., 1989, @doi [ ] 10.1086/132570 , https://ui.adsabs.harvard.edu/abs/1989PASP..101.1032M 101, 1032

  42. [50]

    R., et al., 2016, @doi [ ] 10.1038/nature18620 , https://ui.adsabs.harvard.edu/abs/2016Natur.537..374M 537, 374

    Marsh T. R., et al., 2016, @doi [ ] 10.1038/nature18620 , https://ui.adsabs.harvard.edu/abs/2016Natur.537..374M 537, 374

  43. [51]

    Marton G., et al., 2019, @doi [ ] 10.1093/mnras/stz1301 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.2522M 487, 2522

  44. [52]

    O., Middleditch J., Cordova F

    Mason K. O., Middleditch J., Cordova F. A., Jensen K. A., Reichert G., Murdin P. G., Clark D., Bowyer S., 1983, @doi [ ] 10.1086/160627 , https://ui.adsabs.harvard.edu/abs/1983ApJ...264..575M 264, 575

  45. [53]

    B., Szkody P., 2007, @doi [ ] 10.1051/0004-6361:20065354 , https://ui.adsabs.harvard.edu/abs/2007A&A...467..277M 467, 277

    Mason E., Wickramasinghe D., Howell S. B., Szkody P., 2007, @doi [ ] 10.1051/0004-6361:20065354 , https://ui.adsabs.harvard.edu/abs/2007A&A...467..277M 467, 277

  46. [54]

    Mouchet M., et al., 2017, @doi [ ] 10.1051/0004-6361/201630166 , https://ui.adsabs.harvard.edu/abs/2017A&A...600A..53M 600, A53

  47. [55]

    Oliveira I., et al., 2009, @doi [ ] 10.1088/0004-637X/691/1/672 , https://ui.adsabs.harvard.edu/abs/2009ApJ...691..672O 691, 672

  48. [56]

    F., et al., 2020, @doi [ ] 10.1093/mnras/staa764 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3799P 494, 3799

    Pala A. F., et al., 2020, @doi [ ] 10.1093/mnras/staa764 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3799P 494, 3799

  49. [57]

    Patterson J., 1994, @doi [ ] 10.1086/133375 , https://ui.adsabs.harvard.edu/abs/1994PASP..106..209P 106, 209

  50. [58]

    A., 1981, @doi [ ] 10.1086/158837 , https://ui.adsabs.harvard.edu/abs/1981ApJ...245..618P 245, 618

    Patterson J., Williams G., Hiltner W. A., 1981, @doi [ ] 10.1086/158837 , https://ui.adsabs.harvard.edu/abs/1981ApJ...245..618P 245, 618

  51. [59]

    Pelisoli I., Vos J., 2019, @doi [ ] 10.1093/mnras/stz1876 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.488.2892P 488, 2892

  52. [60]

    Pelisoli I., et al., 2022, @doi [ ] 10.1093/mnras/stac2391 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.5052P 516, 5052

  53. [61]

    Pelisoli I., et al., 2023, @doi [Nature Astronomy] 10.1038/s41550-023-01995-x , https://ui.adsabs.harvard.edu/abs/2023NatAs...7..931P 7, 931

  54. [62]

    Pelisoli I., et al., 2024a, @doi [ ] 10.1093/mnras/stad3442 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.3826P 527, 3826

  55. [63]

    Pelisoli I., et al., 2024b, @doi [ ] 10.1093/mnras/stae1275 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.531.1805P 531, 1805

  56. [64]

    L., Chandra V., Hill M

    Petrosky E., Hwang H.-C., Zakamska N. L., Chandra V., Hill M. J., 2021, @doi [ ] 10.1093/mnras/stab592 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.3975P 503, 3975

  57. [65]

    Pettersson B., Armond T., Reipurth B., 2014, @doi [ ] 10.1051/0004-6361/201423594 , https://ui.adsabs.harvard.edu/abs/2014A&A...570A..30P 570, A30

  58. [66]

    B., Buckley D

    Potter S. B., Buckley D. A. H., 2018, @doi [ ] 10.1093/mnras/sty2407 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.2384P 481, 2384

  59. [67]

    B., et al., 2010, @doi [MNRAS] 10.1111/j.1365-2966.2009.15944.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.402.1161P 402, 1161

    Potter S. B., et al., 2010, @doi [MNRAS] 10.1111/j.1365-2966.2009.15944.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.402.1161P 402, 1161

  60. [68]

    L., et al., 2021, @doi [ ] 10.1093/mnras/stab498 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.3692P 503, 3692

    Pretorius M. L., et al., 2021, @doi [ ] 10.1093/mnras/stab498 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.3692P 503, 3692

  61. [69]

    D., Thomas H

    Reinsch K., Burwitz V., Beuermann K., Schwope A. D., Thomas H. C., 1994, , https://ui.adsabs.harvard.edu/abs/1994A&A...291L..27R 291, L27

  62. [70]

    A., Stroozas B

    Remillard R. A., Stroozas B. A., Tapia S., Silber A., 1991, @doi [ ] 10.1086/170546 , https://ui.adsabs.harvard.edu/abs/1991ApJ...379..715R 379, 715

  63. [71]

    R., et al., 2015, @doi [Journal of Astronomical Telescopes, Instruments, and Systems] 10.1117/1.JATIS.1.1.014003 , https://ui.adsabs.harvard.edu/abs/2015JATIS...1a4003R 1, 014003

    Ricker G. R., et al., 2015, @doi [Journal of Astronomical Telescopes, Instruments, and Systems] 10.1117/1.JATIS.1.1.014003 , https://ui.adsabs.harvard.edu/abs/2015JATIS...1a4003R 1, 014003

  64. [72]

    E., Heinke C

    Ridder M. E., Heinke C. O., Sivakoff G. R., Hughes A. K., 2023, @doi [ ] 10.1093/mnras/stad038 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.5922R 519, 5922

  65. [73]

    C., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2501.03315 , https://ui.adsabs.harvard.edu/abs/2025arXiv250103315R p

    Rodriguez A. C., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2501.03315 , https://ui.adsabs.harvard.edu/abs/2025arXiv250103315R p. arXiv:2501.03315

  66. [74]

    Satyvaldiev V., 1971, Astronomicheskij Tsirkulyar, https://ui.adsabs.harvard.edu/abs/1971ATsir.633....7S 633, 7

  67. [75]

    R., Belloni D., G \"a nsicke B

    Schreiber M. R., Belloni D., G \"a nsicke B. T., Parsons S. G., Zorotovic M., 2021, @doi [Nature Astronomy] 10.1038/s41550-021-01346-8 , https://ui.adsabs.harvard.edu/abs/2021NatAs...5..648S 5, 648

  68. [76]

    R., Belloni D., Schwope A

    Schreiber M. R., Belloni D., Schwope A. D., 2024, @doi [ ] 10.1051/0004-6361/202348807 , https://ui.adsabs.harvard.edu/abs/2024A&A...682L...7S 682, L7

  69. [77]

    D., Mengel S., 1997, @doi [Astronomische Nachrichten] 10.1002/asna.2113180104 , https://ui.adsabs.harvard.edu/abs/1997AN....318...25S 318, 25

    Schwope A. D., Mengel S., 1997, @doi [Astronomische Nachrichten] 10.1002/asna.2113180104 , https://ui.adsabs.harvard.edu/abs/1997AN....318...25S 318, 25

  70. [78]

    D., Thinius B., 2012, @doi [Astronomische Nachrichten] 10.1002/asna.201211716 , https://ui.adsabs.harvard.edu/abs/2012AN....333..717S 333, 717

    Schwope A. D., Thinius B., 2012, @doi [Astronomische Nachrichten] 10.1002/asna.201211716 , https://ui.adsabs.harvard.edu/abs/2012AN....333..717S 333, 717

  71. [79]

    Schwope A., Buckley D. A. H., Malyali A., Potter S., K \"o nig O., Arcodia R., Gromadzki M., Rau A., 2022, @doi [ ] 10.1051/0004-6361/202141653 , https://ui.adsabs.harvard.edu/abs/2022A&A...661A..43S 661, A43

  72. [80]

    R., Buckley D., Munday J., Pelisoli I., 2023a, In prep

    Schwope I., Marsh T. R., Buckley D., Munday J., Pelisoli I., 2023a, In prep

  73. [81]

    Schwope A., Marsh T. R., Standke A., Pelisoli I., Potter S., Buckley D., Munday J., Dhillon V., 2023b, @doi [ ] 10.1051/0004-6361/202346589 , https://ui.adsabs.harvard.edu/abs/2023A&A...674L...9S 674, L9

  74. [82]

    D., Remillard R

    Silber A. D., Remillard R. A., Horne K., Bradt H. V., 1994, @doi [ ] 10.1086/173945 , https://ui.adsabs.harvard.edu/abs/1994ApJ...424..955S 424, 955

  75. [83]

    Spina L., et al., 2021, @doi [ ] 10.1093/mnras/stab471 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.3279S 503, 3279

  76. [84]

    R., Marsh T

    Stanway E. R., Marsh T. R., Chote P., G \"a nsicke B. T., Steeghs D., Wheatley P. J., 2018, @doi [ ] 10.1051/0004-6361/201732380 , https://ui.adsabs.harvard.edu/abs/2018A&A...611A..66S 611, A66

  77. [85]

    A., Littlefield C., Garnavich P., Wood C., Hambsch F.-J., Myers G., 2018, @doi [ ] 10.3847/1538-3881/aad5dd , https://ui.adsabs.harvard.edu/abs/2018AJ....156..150S 156, 150

    Stiller R. A., Littlefield C., Garnavich P., Wood C., Hambsch F.-J., Myers G., 2018, @doi [ ] 10.3847/1538-3881/aad5dd , https://ui.adsabs.harvard.edu/abs/2018AJ....156..150S 156, 150

  78. [86]

    P., Lin L

    Takata J., Hu C. P., Lin L. C. C., Tam P. H. T., Pal P. S., Hui C. Y., Kong A. K. H., Cheng K. S., 2018, @doi [ ] 10.3847/1538-4357/aaa23d , https://ui.adsabs.harvard.edu/abs/2018ApJ...853..106T 853, 106

  79. [87]

    Tapia S., 1977, , https://ui.adsabs.harvard.edu/abs/1977IAUC.3054....1T 3054, 1

  80. [88]

    R., Halpern J

    Thorstensen J. R., Halpern J. P., 2009, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2009ATel.2177....1T 2177, 1

  81. [89]

    R., L \'e pine S., Shara M., 2006, @doi [ ] 10.1086/507956 , https://ui.adsabs.harvard.edu/abs/2006PASP..118.1238T 118, 1238

    Thorstensen J. R., L \'e pine S., Shara M., 2006, @doi [ ] 10.1086/507956 , https://ui.adsabs.harvard.edu/abs/2006PASP..118.1238T 118, 1238

  82. [90]

    R., Alper E

    Thorstensen J. R., Alper E. H., Weil K. E., 2016, @doi [ ] 10.3847/1538-3881/152/6/226 , https://ui.adsabs.harvard.edu/abs/2016AJ....152..226T 152, 226

  83. [91]

    R., Motsoaledi M., Woudt P

    Thorstensen J. R., Motsoaledi M., Woudt P. A., Buckley D. A. H., Warner B., 2020, @doi [ ] 10.3847/1538-3881/ab9d1b , https://ui.adsabs.harvard.edu/abs/2020AJ....160...70T 160, 70

  84. [92]

    L., et al., 2018, @doi [ ] 10.1088/1538-3873/aabadf , https://ui.adsabs.harvard.edu/abs/2018PASP..130f4505T 130, 064505

    Tonry J. L., et al., 2018, @doi [ ] 10.1088/1538-3873/aabadf , https://ui.adsabs.harvard.edu/abs/2018PASP..130f4505T 130, 064505

  85. [93]

    H., Greiner J., Zickgraf F

    Tovmassian G. H., Greiner J., Zickgraf F. J., Kroll P., Krautter J., Thiering I., Zharykov S. V., Serrano A., 1997, @doi [ ] 10.48550/arXiv.astro-ph/9609166 , https://ui.adsabs.harvard.edu/abs/1997A&A...328..571T 328, 571

  86. [94]

    T., Ivezi \'c Z ., 2015, @doi [ ] 10.1088/0004-637X/812/1/18 , https://ui.adsabs.harvard.edu/abs/2015ApJ...812...18V 812, 18

    VanderPlas J. T., Ivezi \'c Z ., 2015, @doi [ ] 10.1088/0004-637X/812/1/18 , https://ui.adsabs.harvard.edu/abs/2015ApJ...812...18V 812, 18

  87. [95]

    Vanderplas J., 2015, gatspy: General tools for Astronomical Time Series in Python , @doi 10.5281/zenodo.14833 , https://doi.org/10.5281/zenodo.14833

  88. [96]

    Visvanathan N., Pickles A., 1982, @doi [ ] 10.1038/298041a0 , https://ui.adsabs.harvard.edu/abs/1982Natur.298...41V 298, 41

  89. [97]

    F., 1987, Soviet Astronomy Letters, https://ui.adsabs.harvard.edu/abs/1987SvAL...13..250V 13, 250

    Voikhanskaya N. F., 1987, Soviet Astronomy Letters, https://ui.adsabs.harvard.edu/abs/1987SvAL...13..250V 13, 250

  90. [98]

    F., 1965, Commmunications of the Konkoly Observatory Hungary, https://ui.adsabs.harvard.edu/abs/1965CoKon..57....1W 57, 1

    Walker M. F., 1965, Commmunications of the Konkoly Observatory Hungary, https://ui.adsabs.harvard.edu/abs/1965CoKon..57....1W 57, 1

  91. [99]

    J., Lakeland B

    Wilson A. J., Lakeland B. S., Wilson T. J., Naylor T., 2023, @doi [ ] 10.1093/mnras/stad301 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.521..354W 521, 354

  92. [100]

    L., et al., 2010, @doi [ ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868

    Wright E. L., et al., 2010, @doi [ ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868

  93. [101]

    arXiv:2408.11536

    de Ruiter I., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2408.11536 , https://ui.adsabs.harvard.edu/abs/2024arXiv240811536D p. arXiv:2408.11536

  94. [102]

    C., et al., 2011, @doi [ ] 10.1088/0004-6256/142/2/60 , https://ui.adsabs.harvard.edu/abs/2011AJ....142...60V 142, 60

    van Eyken J. C., et al., 2011, @doi [ ] 10.1088/0004-6256/142/2/60 , https://ui.adsabs.harvard.edu/abs/2011AJ....142...60V 142, 60

Pith tools

Reviewed August 15, 2026 · model on record in the stance chip above.