Pith. sign in

REVIEW 3 major objections 4 minor 53 references

The incidence of magnetic cataclysmic variables can be explained by the late appearance of white dwarf magnetic fields

T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read The late appearance of white-dwarf magnetic fields at 2–3 Gyr, treated as a pure age effect, explains the incidence of magnetic cataclysmic variables and reduces the predicted number of accreting period bouncers without invoking a…

desk verdict The qualitative scenario is plausible, but the paper's headline claim of quantitative agreement fails above the period gap, and the two halves of the argument pull against each other. read the letter →

arxiv 2505.24153 v1 pith:5TJX5E3Q submitted 2025-05-30 astro-ph.SR

classification astro-ph.SR
keywords cataclysmicvariableswhitedwarfmagneticfieldsdwarfspopulationsynthesisperiodbouncersbinaryevolutiondelayedfieldappearanceCVs
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

The paper argues that the long-standing puzzle of how many cataclysmic variables (CVs) contain strongly magnetic white dwarfs can be explained if the magnetic fields simply appear when the white dwarf reaches an age of 2–3 Gyr, independent of whether its core is crystallizing. Putting this age switch into binary population synthesis reproduces the observed rise in magnetic fraction from long-period CVs (about 2–10%) to short-period ones (about 6–36%), and predicts that most period bouncers—CVs that have evolved past the period minimum—should host magnetic white dwarfs. Because a magnetic white dwarf can synchronize with its donor and transfer spin angular momentum to the orbit, many of these systems detach for a gigayear or more. The paper concludes that the previously proposed link between magnetic CVs and detached magnetic binaries remains viable without invoking a crystallization dynamo, and that the late appearance of the field can significantly reduce the predicted number of accreting period bouncers.

What carries the argument

The load-bearing mechanism is a delayed magnetic-field switch: a white dwarf born in a close binary carries no strong surface field until it reaches a fixed age of 2–3 Gyr, at which point the field appears regardless of core temperature. Once the field appears, synchronization torques between the magnetic white dwarf and its donor transfer spin angular momentum into the orbit, widening the binary and turning the accreting CV into a detached system for a time that lengthens as the donor mass drops; near the period minimum the detached phase lasts roughly 1–5 Gyr. The population-synthesis calculation counts how many CV white dwarfs cross the age threshold in each evolutionary group, and the stellar-evolution tracks quantify the resulting detachment timescales.

What would settle it

A volume-limited CV survey that found the magnetic fraction above the period gap to be well above the predicted 2–10% (for example, near the 40% level seen below the gap) while the WDs have typical CV masses, or that found numerous actively accreting period bouncers with white dwarfs older than 3 Gyr and no sign of a prior long detached episode, would contradict the age-trigger scenario.

Watch

Extended reading notes

Core claim

Assuming that strong (≥1 MG) magnetic fields switch on at fixed white-dwarf ages of 2, 2.5, or 3 Gyr, and that 30–80% of CV white dwarfs become magnetic once past that age, the authors' population synthesis predicts magnetic-CV fractions of 2–10% above the period gap, 6–36% in and below the gap, and 28–80% among period bouncers. These brackets are broadly consistent with the observed fractions from the 150 pc sample (17±14% above and 40±9% below the gap) and the SDSS sample (16.5±2.6% and 24.4±2.1%), which the authors judge to be in reasonable agreement given small-number statistics and selection effects. In 7–65% of present-day period bouncers the field appears when the donor has already shrunk below 0.08 solar masses, near or after the period minimum. Stellar-evolution tracks show that at these low donor masses the synchronization torque produces detached phases lasting roughly 1–5 Gyr, so many predicted period bouncers would not appear as accreting CVs. The central conclusion is that interpreting late WD magnetism as an age effect naturally explains the incidence of magnetic CVs and reduces the predicted number of accreting period bouncers, without requiring the crystallization- and rotation-driven dynamo.

Load-bearing premise

The whole prediction rests on transferring the 2–3 Gyr field-appearance age and the 30–80% magnetic fraction from small samples of single white dwarfs and detached binaries to white dwarfs in cataclysmic variables, and on assuming that accretion history, composition, and rotation do not change those numbers.

Editorial extensions

If this is right

  • The predicted magnetic fractions rise from 2–10% above the period gap to 6–36% in and below the gap, matching the broad trend of the 150 pc and SDSS samples.
  • For 7–65% of present-day period bouncers, the field appears at donor masses below 0.08 solar masses, i.e., at or after the period minimum.
  • At those low donor masses, synchronization-driven detachment lasts roughly 1–5 Gyr, so many predicted period bouncers would not be counted as accreting CVs, reducing the predicted number and easing the missing-period-bouncer problem.
  • The previously proposed evolutionary sequence linking detached magnetic WD binaries, WD pulsars, and magnetic CVs remains viable without the crystallization- and rotation-driven dynamo.
  • A large fraction (28–80%) of period bouncers should contain strongly magnetic white dwarfs, many of them currently detached.

Reading between the lines

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

  • If the field-appearance age is truly fixed, the observed orbital-period dependence of the magnetic-CV fraction becomes a direct map of the WD age distribution in CVs, so measuring it in a complete sample would constrain magnetic braking and other angular-momentum-loss physics.
  • The model predicts a population of detached magnetic white dwarf plus brown dwarf binaries that are not Roche-lobe filling; searches for cyclotron or X-ray emission from such systems could confirm or rule out the long detachment phases.
  • The same age-switch logic could be tested in other accreting white-dwarf binaries, where the WD age distribution differs, giving an independent prediction for their magnetic fraction that does not rely on CV-specific parameters.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 4 minor

Summary. The manuscript tests the hypothesis that strong magnetic fields on white dwarfs in cataclysmic variables (CVs) appear at a fixed WD age of 2–3 Gyr, rather than through a crystallization- and rotation-driven dynamo. Using the BSE population synthesis code, the authors compute the present-day CV population and the age distribution of CV WDs in different orbital-period bins; they then multiply the old-WD fractions by an assumed 30–80% magnetic fraction to predict observed magnetic-CV fractions. The results are compared with the 150 pc and SDSS samples (Table 2), and complementary MESA tracks (Appendix A) estimate the duration of the detached phase if the magnetic field appears near the period minimum. The paper concludes that the late-appearance age effect explains the incidence of magnetic CVs and can significantly reduce the predicted number of accreting period bouncers.

Significance. The idea is timely and interesting: if the age-only scenario holds, it removes the need for a crystallization dynamo and links the magnetic-CV incidence to the long-standing missing-period-bouncers problem. The paper's genuine model output is the WD age distribution in CVs (Figs 1–3, Table 1), which makes falsifiable predictions, e.g., that the magnetic fraction should be higher below the period gap than above it and that a large fraction of period bouncers should host old WDs. The MESA calculations provide a concrete physical mechanism for Gyr-long detachment. However, the quantitative support for the main claim is weakened by the wide assumed 30–80% magnetic fraction and by an above-gap predicted fraction that falls below the observed value, so the central 'well reproduced' statement is stronger than the numbers justify.

major comments (3)
  1. [§4.2, Table 2] The predicted above-gap magnetic CV fraction of 2–10% is not in agreement with the SDSS observed value of 16.5±2.6%: even the upper end of the model range is 2.5σ below the mean and below the 1σ lower bound (13.9%). The text in §4.2 calls this 'slightly smaller (by a factor of ~1.5)', which understates a discrepancy that is significant at more than 2σ. Because the above-gap bin is the cleanest test of the age hypothesis (detachment is short there), this difference undermines the Abstract's claim that the observed magnetic-CV fraction is well reproduced. The authors should either supply a quantitative selection-bias argument that lowers the observed fraction or raises the model, or reframe the above-gap comparison as a marginal agreement rather than a direct reproduction.
  2. [§4.1] The assumed 30–80% magnetic fraction for WDs older than 2–3 Gyr is based on 4/8 and 3/5 single WDs in the Bagnulo & Landstreet (2022) sample, with Poisson uncertainties of about 17% and 22%, and it is applied without further justification to accreting CV WDs of typical mass. Because the predicted magnetic fractions in Table 2 scale linearly with this parameter, the resulting ranges (2–10% and 6–36%) are so broad that the comparison has little discriminating power. A more informative test is the ratio of the above-gap to in/below-gap magnetic fractions, which is independent of the common f_mag if that fraction is the same in both groups. The model's age fractions in Fig. 1 give this ratio as roughly 0.27–0.33, whereas the SDSS observed ratio is 16.5/24.4 ≈ 0.68. This factor-of-two discrepancy is hidden by the adopted parameter range. The authors should calibrate f_mag and t_mag by fitting the model to the observed fractions and report the residuals, or explicitly discuss the ratio inconsistency.
  3. [§4.3 and Appendix A] The conclusion that the late appearance of magnetic fields can significantly reduce the number of accreting period bouncers rests on detached-phase durations in Fig. A.1 that are computed for a single WD mass (0.8 M⊙), a single initial donor mass (0.6 M⊙), and one synchronization model (1 Myr timescale, 100% spin transfer). Section 4.4 acknowledges that these assumptions may be too optimistic, but no sensitivity study is provided. In addition, the population synthesis itself does not include the detachment: the age distributions in Figs 1–3 and the predicted magnetic fractions in Table 2 are computed for all simulated CVs, irrespective of whether the field would detach them. For period bouncers, where 99.6% of WDs are older than 2 Gyr (Table 1) and the detached phase may last several Gyr, the fraction that remains observable as accreting magnetic CVs is much smaller than the raw magnetic-WD fraction. To make the period-bouncer claim quantitative, the authors should fold the MESA detachment timescales into the population synthesis or apply an explicit duty-cycle correction, and explore the sensitivity to the synchronization timescale and spin-transfer efficiency.
minor comments (4)
  1. [Abstract] There is a typo in the abstract: 'magneticcatcdifferent' should be 'magnetic CVs at different'.
  2. [Title page] The received/accepted dates 'Received September 15, 1996; accepted March 16, 1997' appear to be a template artifact and should be corrected.
  3. [§4.2] The 150 pc sample contains only three period bouncers, and the statement that the absence of magnetic ones 'seems to disagree' with the prediction is not quantified; a Poisson expectation for the number of magnetic period bouncers given the predicted 28–80% fraction would be more informative.
  4. [Fig. A.1] The detached-phase duration labels in Fig. A.1 (e.g., '~5 Gyr') are difficult to read; tabulating the durations for the four tracks would improve clarity.

Circularity Check

0 steps flagged · score 0.0 of 10

No circular derivation: the magnetic-CV prediction is a product of a simulated age distribution and an externally calibrated magnetic fraction, not a fit to the target CV data.

full rationale

The paper's central prediction is the outcome of an independent chain. BSE population synthesis (Sec. 2) yields the WD age distribution of CVs (Fig. 1, Table 1). The magnetic fraction 30-80% and threshold age 2-3 Gyr are calibrated from single WDs and detached binaries (Sec. 4.1), not from the magnetic CV samples used for comparison. The comparison in Table 2 is therefore a genuine prediction: the predicted magnetic fraction equals the simulated fraction of CV WDs older than the threshold times an externally measured magnetic probability. Although the above-gap predicted range (2-10%) falls below the SDSS value 16.5±2.6%, that is a quantitative disagreement, not a circular reduction; the disagreement is acknowledged in the text as 'slightly smaller' (Sec. 4.2). Self-citations to Schreiber et al. (2021, 2023) and Camisassa et al. (2024) supply the evolutionary sequence and the age-effect hypothesis, but the age threshold itself is justified by external observations (Bagnulo & Landstreet 2022; Parsons et al. 2021), so no load-bearing step reduces to a self-citation. The detached-phase durations are computed with MESA under explicitly stated assumptions (Appendix A, Sec. 4.4). Hence no step of the claimed derivation is equivalent to its inputs by construction.

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

The quantitative predictions of this paper rest mainly on the assumed trigger age and the assumed magnetic fraction, both taken from small observational samples, plus the standard CV angular momentum loss prescriptions and the synchronization torque model. No genuinely new physical entity is introduced.

free parameters (5)
  • t_mag: fixed WD age of magnetic field appearance = 2, 2.5, and 3 Gyr in three model variants
    Chosen to match the ages of strongly magnetic WDs in detached binaries and single WDs (Sec 4.1). The whole paper's comparison shifts as this age is varied.
  • f_mag: fraction of WDs that become magnetic after the age threshold = 0.30 to 0.80
    Estimated from 1/27 young WDs, 4/8 old WDs, 3/5 oldest in Bagnulo & Landstreet (2022). Directly multiplies the model age distributions to get predicted magnetic CV fractions; the final agreement is therefore partly set by this choice.
  • Synchronization torque parameters: sync timescale and spin transfer fraction = 1 Myr timescale, 100% spin transfer to orbit
    Inherited from Schreiber et al. (2023) and used in Appendix A; the authors state in Sec 4.4 that lower efficiency would shorten detached phases, weakening the period-bouncer reduction claim.
  • alpha_CE: common envelope efficiency = 0.25
    Adopted in Sec 2 following Zorotovic et al. (2010); affects the formation rate and orbital period distribution of CV progenitors.
  • M_donor threshold for period bouncers = 0.07 Msun
    Assumed boundary between still-hydrogen-burning donors and brown-dwarf donors (Sec 3); changes the reported period-bouncer numbers if varied.
assumptions (4)
  • domain assumption Standard CV angular momentum loss prescriptions (gravitational radiation, Rappaport et al. 1983 magnetic braking, Schreiber et al. 2016 consequential angular momentum loss) accurately describe CV evolution.
    Used throughout the BSE population synthesis (Sec 2). If magnetic braking is stronger, as the paper notes in Sec 4.4, the age distribution of CV WDs changes and the predicted fractions shift.
  • domain assumption WDs formed through common-envelope evolution are born without strong magnetic fields, and the young massive magnetic WDs seen among single WDs arise through a channel unavailable to close binaries.
    Sec 4.1 assumes this to justify applying the age threshold to all CV WDs; if some CV progenitors are born magnetic, the predicted fractions would be higher.
  • domain assumption The observational age constraints on strong magnetic fields in single WDs and detached binaries (Bagnulo & Landstreet 2022; Parsons et al. 2021) transfer to CV WDs of similar mass.
    Sec 4.1 and the Introduction use the single-WD age distribution as the trigger age for CV WDs; this is the central premise of the paper.
  • domain assumption The MESA binary evolution model with synchronization torques (1 Myr timescale, all WD spin transferred to the orbit) correctly predicts the duration of the detached phase.
    Appendix A and Sec 4.4; the authors admit the detached phase may be shorter if the efficiency is lower.

how reviews work

0 comments
Cite this review

Pith. "Pith review of The incidence of magnetic cataclysmic variables can be explained by the late appearance of white dwarf magnetic fields." pith.science (2026). https://pith.science/paper/5TJX5E3Q

@misc{pith2026250524153,
  author       = {Pith},
  title        = {Pith review of: The incidence of magnetic cataclysmic variables can be explained by the late appearance of white dwarf magnetic fields},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/5TJX5E3Q}},
  note         = {Machine review of arXiv:2505.24153}
}
read the original abstract

Assuming that white dwarf (WD) magnetic fields are generated by a crystallization- and rotation-driven dynamo, the impact of the late appearance of WD magnetic fields in cataclysmic variables (CVs) has been shown to potentially solve several long-standing problems of CV evolution. However, recent theoretical works show that the dynamo idea might not be viable and that the late appearance of WD magnetic fields might be an age effect rather than related to the cooling of the core of the WD. We investigated the impact of the late appearance of WD magnetic fields on CV evolution assuming that the fields appear at fixed WD ages. We performed CV population synthesis with the BSE code to determine the fractions of CVs that become magnetic atcdifferent evolutionary stages. These simulations were complemented with MESA tracks that take into account the transfer of spin angular momentum to the orbit which can cause a detached phase. We find that the observed fraction of magnetic CVs as a function of orbital period is well reproduced by our simulations, and that in many CVs the WD should become magnetic close to the period minimum. The detached phase generated by the transfer of spin angular momentum is longest for period bouncers. Interpreting the late appearance of strong WD magnetic fields as a simple age effect naturally explains the relative numbers of magnetic CVs in observed samples. As many period bouncers might detach for several gigayears, the late appearance of WD magnetic fields at a fixed age and independent of the core temperature of the WD can significantly reduce the predicted number of accreting period bouncers.

Figures

Figures reproduced from arXiv: 2505.24153 by the authors.

Figure 1
Figure 1. Orbital period distribution of all pre-bounce CVs. We also show the distributions of pre-bounce CVs with WDs older than 2, 2.5, and 3 Gyr. The overall fractions of systems with WDs older than 2, 2.5, and 3 Gyr are 36%, 23%, 16%, respectively. Above the period gap (i.e., Porb ≳ 3 h), the same fractions are 12%, 9%, and 6%, while for systems inside and below the gap, they are 45%, 27%, and 20%. 0 1 2 3 4 5 6 7 8 9 10 … view at source ↗
Figure 2
Figure 2. WD age distribution for different groups of CVs. The distribution of all CVs is dominated by that of period bouncers at ages ≳ 2 − 3 Gyr, while at younger ages it is dominated by pre-bounce systems, with peaks at ∼ 0.25 Gyr (above the gap) and ∼ 1.75 Gyr (below or inside the gap). perience strong orbital shrinkage during common-envelope evo￾lution (e.g., Zorotovic et al. 2010). The envelope-structure pa￾rameter depe… view at source ↗
Figure 3
Figure 3. Donor mass distribution of the present-day CVs when their WD ages reached 2, 2.5, and 3 Gyr illustrating at which donor mass a strong magnetic field could have appeared. The peak of the distributions is at 0.076, 0.045, and 0.033 M⊙ for age limits of 2, 2.5, and 3 Gyr respec￾tively. For 35%, 69%, and 81% of the present-day period bouncers the magnetic field appeared at donor masses ≤ 0.08 M⊙, that is, after or aroun… view at source ↗

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

53 extracted references · 11 canonical work pages

  1. [1]

    & Landstreet , J

    Bagnulo , S. & Landstreet , J. D. 2021, http://dx.doi.org/10.1093/mnras/stab2046 blue , 507, 5902 https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.5902B

  2. [2]

    & Landstreet , J

    Bagnulo , S. & Landstreet , J. D. 2022, http://dx.doi.org/10.3847/2041-8213/ac84d3 blue , 935, L12 https://ui.adsabs.harvard.edu/abs/2022ApJ...935L..12B

  3. [3]

    A., Schreiber , M

    Barraza-Jorquera , J. A., Schreiber , M. R., & Belloni , D. 2025, http://dx.doi.org/10.1051/0004-6361/202553757 blue , 696, A92 https://ui.adsabs.harvard.edu/abs/2025A&A...696A..92B

  4. [4]

    Belloni , D., Miko ajewska , J., & Schreiber , M. R. 2024 a , http://dx.doi.org/10.1051/0004-6361/202449602 blue , 686, A226 https://ui.adsabs.harvard.edu/abs/2024A&A...686A.226B

  5. [5]

    & Schreiber , M

    Belloni , D. & Schreiber , M. R. 2023, in Handbook of X-ray and Gamma-ray Astrophysics. Edited by Cosimo Bambi and Andrea Santangelo, 129

  6. [6]

    R., Moe , M., El-Badry , K., & Shen , K

    Belloni , D., Schreiber , M. R., Moe , M., El-Badry , K., & Shen , K. J. 2024 b , http://dx.doi.org/10.1051/0004-6361/202347931 blue , 682, A33 https://ui.adsabs.harvard.edu/abs/2024A&A...682A..33B

  7. [7]

    R., Pala , A

    Belloni , D., Schreiber , M. R., Pala , A. F., et al. 2020, http://dx.doi.org/10.1093/mnras/stz3413 blue , 491, 5717 https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.5717B

  8. [8]

    R., Salaris , M., Maccarone , T

    Belloni , D., Schreiber , M. R., Salaris , M., Maccarone , T. J., & Zorotovic , M. 2021, http://dx.doi.org/10.1093/mnrasl/slab054 blue , 505, L74 https://ui.adsabs.harvard.edu/abs/2021MNRAS.505L..74B

Show all 53 references
  1. [9]

    R., Zorotovic , M., et al

    Belloni , D., Schreiber , M. R., Zorotovic , M., et al. 2018, http://dx.doi.org/10.1093/mnras/sty1421 blue , 478, 5626 https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.5626B

  2. [10]

    R., Schreiber , M

    Camisassa , M., Fuentes , J. R., Schreiber , M. R., et al. 2024, http://dx.doi.org/10.1051/0004-6361/202452539 blue , 691, L21 https://ui.adsabs.harvard.edu/abs/2024A&A...691L..21C

  3. [11]

    2024, http://dx.doi.org/10.3847/1538-4357/ad7a6a blue , 975, 63 https://ui.adsabs.harvard.edu/abs/2024ApJ...975...63C

    Castro-Tapia , M., Zhang , S., & Cumming , A. 2024, http://dx.doi.org/10.3847/1538-4357/ad7a6a blue , 975, 63 https://ui.adsabs.harvard.edu/abs/2024ApJ...975...63C

  4. [12]

    Claeys , J. S. W., Pols , O. R., Izzard , R. G., Vink , J., & Verbunt , F. W. M. 2014, http://dx.doi.org/10.1051/0004-6361/201322714 blue , 563, A83 https://ui.adsabs.harvard.edu/abs/2014A&A...563A..83C

  5. [13]

    2025, http://dx.doi.org/10.1093/mnras/staf561 blue , 540, 633 https://ui.adsabs.harvard.edu/abs/2025MNRAS.540..633C

    Cunningham , T., Caiazzo , I., Sienkiewicz , G., et al. 2025, http://dx.doi.org/10.1093/mnras/staf561 blue , 540, 633 https://ui.adsabs.harvard.edu/abs/2025MNRAS.540..633C

  6. [14]

    2022, http://dx.doi.org/10.1093/mnras/stac2945 blue , 517, 4916 https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.4916E

    El-Badry , K., Conroy , C., Fuller , J., et al. 2022, http://dx.doi.org/10.1093/mnras/stac2945 blue , 517, 4916 https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.4916E

  7. [15]

    W., Mori , K., Bridges , G., et al

    Filor , L. W., Mori , K., Bridges , G., et al. 2024, https://ui.adsabs.harvard.edu/abs/2024arXiv241211273F http://dx.doi.org/10.48550/arXiv.2412.11273 blue arXiv e-prints , arXiv:2412.11273, submitted to ApJ

  8. [16]

    & Nelson , L

    Goliasch , J. & Nelson , L. 2015, http://dx.doi.org/10.1088/0004-637X/809/1/80 blue , 809, 80 https://ui.adsabs.harvard.edu/abs/2015ApJ...809...80G

  9. [17]

    R., Pols , O

    Hurley , J. R., Pols , O. R., & Tout , C. A. 2000, http://dx.doi.org/10.1046/j.1365-8711.2000.03426.x blue , 315, 543 https://ui.adsabs.harvard.edu/abs/2000MNRAS.315..543H

  10. [18]

    R., Tout , C

    Hurley , J. R., Tout , C. A., & Pols , O. R. 2002, http://dx.doi.org/10.1046/j.1365-8711.2002.05038.x blue , 329, 897 https://ui.adsabs.harvard.edu/abs/2002MNRAS.329..897H

  11. [19]

    T., Breedt , E., et al

    Inight , K., G \"a nsicke , B. T., Breedt , E., et al. 2023 a , http://dx.doi.org/10.1093/mnras/stad2018 blue , 524, 4867 https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.4867I

  12. [20]

    T., Schwope , A., et al

    Inight , K., G \"a nsicke , B. T., Schwope , A., et al. 2023 b , http://dx.doi.org/10.1093/mnras/stad2409 blue , 525, 3597 https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.3597I

  13. [21]

    T., Schwope , A., et al

    Inight , K., G \"a nsicke , B. T., Schwope , A., et al. 2025, http://dx.doi.org/10.1093/mnras/stae2524 blue , 536, 1057 https://ui.adsabs.harvard.edu/abs/2025MNRAS.536.1057I

  14. [22]

    S., Bauer , E

    Jermyn , A. S., Bauer , E. B., Schwab , J., et al. 2023, http://dx.doi.org/10.3847/1538-4365/acae8d blue , 265, 15 https://ui.adsabs.harvard.edu/abs/2023ApJS..265...15J

  15. [23]

    2011, http://dx.doi.org/10.1088/0067-0049/194/2/28 blue , 194, 28 https://ui.adsabs.harvard.edu/abs/2011ApJS..194...28K

    Knigge , C., Baraffe , I., & Patterson , J. 2011, http://dx.doi.org/10.1088/0067-0049/194/2/28 blue , 194, 28 https://ui.adsabs.harvard.edu/abs/2011ApJS..194...28K

  16. [24]

    1993, , 271, 149 https://ui.adsabs.harvard.edu/abs/1993A&A...271..149K

    Kolb , U. 1993, , 271, 149 https://ui.adsabs.harvard.edu/abs/1993A&A...271..149K

  17. [25]

    2001, http://dx.doi.org/10.1046/j.1365-8711.2001.04022.x blue , 322, 231 https://ui.adsabs.harvard.edu/abs/2001MNRAS.322..231K

    Kroupa , P. 2001, http://dx.doi.org/10.1046/j.1365-8711.2001.04022.x blue , 322, 231 https://ui.adsabs.harvard.edu/abs/2001MNRAS.322..231K

  18. [26]

    T., Schmidt , G

    Liebert , J., Wickramasinghe , D. T., Schmidt , G. D., et al. 2005, 129, 2376 https://ui.adsabs.harvard.edu/abs/2005AJ....129.2376L

  19. [27]

    a nsicke , B. T., H \

    Marsh , T. R., G \"a nsicke , B. T., H \"u mmerich , S., et al. 2016, http://dx.doi.org/10.1038/nature18620 blue , 537, 374 https://ui.adsabs.harvard.edu/abs/2016Natur.537..374M

  20. [28]

    P., Parsons , S

    McAllister , M., Littlefair , S. P., Parsons , S. G., et al. 2019, http://dx.doi.org/10.1093/mnras/stz976 blue , 486, 5535 https://ui.adsabs.harvard.edu/abs/2019MNRAS.486.5535M

  21. [29]

    & Di Stefano , R

    Moe , M. & Di Stefano , R. 2017, http://dx.doi.org/10.3847/1538-4365/aa6fb6 blue , 230, 15 http://adsabs.harvard.edu/abs/2017ApJS..230...15M

  22. [30]

    2023, http://dx.doi.org/10.1051/0004-6361/202346420 blue , 676, A7 https://ui.adsabs.harvard.edu/abs/2023A&A...676A...7M

    Mu \ n oz-Giraldo , D., Stelzer , B., de Martino , D., & Schwope , A. 2023, http://dx.doi.org/10.1051/0004-6361/202346420 blue , 676, A7 https://ui.adsabs.harvard.edu/abs/2023A&A...676A...7M

  23. [31]

    F., G \"a nsicke , B

    Pala , A. F., G \"a nsicke , B. T., Belloni , D., et al. 2022, http://dx.doi.org/10.1093/mnras/stab3449 blue , 510, 6110 https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.6110P

  24. [32]

    F., G \"a nsicke , B

    Pala , A. F., G \"a nsicke , B. T., Breedt , E., et al. 2020, http://dx.doi.org/10.1093/mnras/staa764 blue , 494, 3799 https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3799P

  25. [33]

    G., G \"a nsicke , B

    Parsons , S. G., G \"a nsicke , B. T., Schreiber , M. R., et al. 2021, http://dx.doi.org/10.1093/mnras/stab284 blue , 502, 4305 https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.4305P

  26. [34]

    2011, http://dx.doi.org/10.1088/0067-0049/192/1/3 blue , 192, 3 https://ui.adsabs.harvard.edu/abs/2011ApJS..192....3P

    Paxton , B., Bildsten , L., Dotter , A., et al. 2011, http://dx.doi.org/10.1088/0067-0049/192/1/3 blue , 192, 3 https://ui.adsabs.harvard.edu/abs/2011ApJS..192....3P

  27. [35]

    2013, http://dx.doi.org/10.1088/0067-0049/208/1/4 blue , 208, 4 https://ui.adsabs.harvard.edu/abs/2013ApJS..208....4P

    Paxton , B., Cantiello , M., Arras , P., et al. 2013, http://dx.doi.org/10.1088/0067-0049/208/1/4 blue , 208, 4 https://ui.adsabs.harvard.edu/abs/2013ApJS..208....4P

  28. [36]

    2015, http://dx.doi.org/10.1088/0067-0049/220/1/15 blue , 220, 15 https://ui.adsabs.harvard.edu/abs/2015ApJS..220...15P

    Paxton , B., Marchant , P., Schwab , J., et al. 2015, http://dx.doi.org/10.1088/0067-0049/220/1/15 blue , 220, 15 https://ui.adsabs.harvard.edu/abs/2015ApJS..220...15P

  29. [37]

    B., et al

    Paxton , B., Schwab , J., Bauer , E. B., et al. 2018, http://dx.doi.org/10.3847/1538-4365/aaa5a8 blue , 234, 34 https://ui.adsabs.harvard.edu/abs/2018ApJS..234...34P

  30. [38]

    2019, http://dx.doi.org/10.3847/1538-4365/ab2241 blue , 243, 10 https://ui.adsabs.harvard.edu/abs/2019ApJS..243...10P

    Paxton , B., Smolec , R., Schwab , J., et al. 2019, http://dx.doi.org/10.3847/1538-4365/ab2241 blue , 243, 10 https://ui.adsabs.harvard.edu/abs/2019ApJS..243...10P

  31. [39]

    R., Buckley , D

    Pelisoli , I., Marsh , T. R., Buckley , D. A. H., et al. 2023, http://dx.doi.org/10.1038/s41550-023-01995-x blue Nature Astronomy , 7, 931 https://ui.adsabs.harvard.edu/abs/2023NatAs...7..931P

  32. [40]

    Rappaport , S., Verbunt , F., & Joss , P. C. 1983, http://dx.doi.org/10.1086/161569 blue , 275, 713 https://ui.adsabs.harvard.edu/abs/1983ApJ...275..713R

  33. [41]

    C., El-Badry , K., Suleimanov , V., et al

    Rodriguez , A. C., El-Badry , K., Suleimanov , V., et al. 2025, http://dx.doi.org/10.1088/1538-3873/ada185 blue , 137, 014201 https://ui.adsabs.harvard.edu/abs/2025PASP..137a4201R

  34. [42]

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

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

  35. [43]

    R., Belloni , D., & Schwope , A

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

  36. [44]

    R., Belloni , D., & van Roestel , J

    Schreiber , M. R., Belloni , D., & van Roestel , J. 2023, http://dx.doi.org/10.1051/0004-6361/202347766 blue , 679, L8 https://ui.adsabs.harvard.edu/abs/2023A&A...679L...8S

  37. [45]

    R., Belloni , D., Zorotovic , M., et al

    Schreiber , M. R., Belloni , D., Zorotovic , M., et al. 2022, http://dx.doi.org/10.1093/mnras/stac1076 blue , 513, 3090 https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.3090S

  38. [46]

    R., G \"a nsicke , B

    Schreiber , M. R., G \"a nsicke , B. T., Rebassa-Mansergas , A., et al. 2010, http://dx.doi.org/10.1051/0004-6361/201013990 blue , 513, L7 https://ui.adsabs.harvard.edu/abs/2010A&A...513L...7S

  39. [47]

    R., Zorotovic , M., & Wijnen , T

    Schreiber , M. R., Zorotovic , M., & Wijnen , T. P. G. 2016, http://dx.doi.org/10.1093/mnrasl/slv144 blue , 455, L16 https://ui.adsabs.harvard.edu/abs/2016MNRAS.455L..16S

  40. [48]

    C., Szkody , P., et al

    van Roestel , J., Rodriguez , A. C., Szkody , P., et al. 2025, http://dx.doi.org/10.1051/0004-6361/202451945 blue , 696, A242 https://ui.adsabs.harvard.edu/abs/2025A&A...696A.242V

  41. [49]

    R., & G \"a nsicke , B

    Zorotovic , M., Schreiber , M. R., & G \"a nsicke , B. T. 2011, http://dx.doi.org/10.1051/0004-6361/201116626 blue , 536, A42 https://ui.adsabs.harvard.edu/abs/2011A&A...536A..42Z

  42. [50]

    R., G \"a nsicke , B

    Zorotovic , M., Schreiber , M. R., G \"a nsicke , B. T., & Nebot G \'o mez-Mor \'a n , A. 2010, http://dx.doi.org/10.1051/0004-6361/200913658 blue , 520, A86 https://ui.adsabs.harvard.edu/abs/2010A&A...520A..86Z

  43. [51]

    R., Parsons , S

    Zorotovic , M., Schreiber , M. R., Parsons , S. G., et al. 2016, http://dx.doi.org/10.1093/mnras/stw246 blue , 457, 3867 https://ui.adsabs.harvard.edu/abs/2016MNRAS.457.3867Z

  44. [52]

    , " * write output.state after.block = add.period write newline

    ENTRY address archiveprefix author booktitle chapter edition editor howpublished institution eprint doi url journal key month note number organization pages publisher school series title type volume year adsurl label extra.label sort.label short.list INTEGERS output.state befo...

  45. [53]

    write newline

    " write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 gl...

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.