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How much earlier would LSST have discovered currently known long-period comets?

T0 review · 3 major / 6 minor · reviewed 2026-08-11 · deepseek-v4-flash

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Pith's one-line read An LSST-like survey would have detected about 40% of known long-period and hyperbolic comets at least five years before perihelion, and 46% of them at double or more their actual discovery distance.

desk verdict Genuinely new counterfactual with a robust qualitative conclusion, but the headline percentages lack error bars and the abstract overstates the discovery-rate implication. read the letter →

arxiv 2412.12978 v1 pith:TEB2ZU63 submitted 2024-12-17 astro-ph.EP astro-ph.IMastro-ph.SR

Laura Inno , Margherita Scuderi , Ivano Bertini , Marco Fulle , Elena Mazzotta Epifani , Vincenzo Della Corte , Alice Maria Piccirillo , Antonio Vanzanella
show 5 more authors
Pedro Lacerda Chiara Grappasonni Eleonora Ammanito Giuseppe Sindoni Alessandra Rotundi
This is my paper · ORCID
classification astro-ph.EPastro-ph.IMastro-ph.SR
keywords long-periodcometshyperbolicOortCloudLSSTsurveysimulationscometphotometryInterceptordiscoveryepoch
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 asks a counterfactual question: if the LSST survey had already been taking data during the ten years before each known long-period or hyperbolic comet reached perihelion, when would it have first seen each comet? Working from each comet's fitted orbit and the standard cometary brightness model, the authors compute hypothetical first-detection dates and distances from the Southern-sky survey site. They find that roughly 40% of the sample would have been found at least five years before perihelion, and at least 46% would have been seen at double or more the heliocentric distance of the real discovery. This matters because early, distant discovery is exactly the warning time a flyby mission like Comet Interceptor needs to select and reach a pristine Oort-cloud comet. The paper is explicit that the exercise is not a prediction of LSST's total discovery rate, since the known sample is not a complete flux of incoming comets; the chief uncertainty is whether the brightness model, fitted mostly near perihelion, holds years earlier at tens of au.

What carries the argument

The engine of the analysis is the backward extrapolation of each comet's total magnitude through the standard cometary photometric model $T = M_1 + 5\log\delta + k_1\log r_h$, with $M_1$ and $k_1$ taken from the fitted values in the ephemerides catalog, evaluated at one-month steps over the nine years before perihelion and converted to the LSST $r$-band. Detection is then judged against LSST's single-epoch limits (brightness between roughly 14 and 24.5 mag), visibility from the survey site at airmass no larger than 2.5, and a minimum on-sky motion of about 2 arcseconds per hour so that the moving-object pipeline would flag the object. The comparison of predicted magnitudes with those recorded in an independent discovery catalogue, which shows a mean offset of about one magnitude and a scatter larger than three magnitudes, is what the paper uses to gauge the reliability of this machinery.

What would settle it

Take the dozen or so long-period comets with well-observed light curves spanning a wide range of heliocentric distance and check whether backwards extrapolation of the near-perihelion fitted model reproduces the observed distant magnitudes within about one magnitude; the paper's own comparison with an independent discovery catalogue already finds a mean offset of one magnitude and scatter above three, so a systematic failure there would make the 40% five-year figure an upper bound rather than a central estimate.

Watch

Extended reading notes

Core claim

The central claim is that a survey matching LSST's depth (about 24.5 mag in the r-band), cadence, and Southern-sky footprint would have discovered roughly 40% of currently known long-period and hyperbolic comets at least five years before their perihelion, and at least 46% of them at double or more the distance at which they were actually discovered. After adding the airmass and on-sky motion constraints, the paper finds that over 45% of the sample would have been detected five or more years early, compared with less than 1% of actual discoveries made that far ahead. Only about 10% of the full sample would have been missed entirely by a Southern-hemisphere survey, and none would have been lost to the standard Wide-Fast-Deep cadence, although a few discovery times would have been delayed by up to four years. Almost all of the Comet Interceptor virtual targets would have been detected at double their real discovery distance, which is why the authors frame the result as a measure of LSST's early-warning potential for choosing flyby targets.

Load-bearing premise

The analysis assumes that a comet's brightness model, fitted mostly from observations taken near perihelion, continues to describe how bright the comet was several years earlier and tens of au from the Sun; if distant comets brighten or stay dormant differently than the model, the predicted early-discovery times shift.

Editorial extensions

If this is right

  • If LSST had been running, about 40% of known long-period and hyperbolic comets would have been discovered five or more years before perihelion, a shift from the current less-than-1% found that early.
  • At least 46% of the sample would have been caught at double or more their actual discovery distance, meaning LSST's discovery space extends to much more distant and dynamically pristine comets.
  • A Southern-hemisphere-only survey would have missed only about 10% of the known sample, so the survey's geographic footprint is not a serious limitation for this population.
  • The standard Wide-Fast-Deep cadence would not have caused any comet in the sample to be missed altogether, though individual first-detection times could shift by up to four years.
  • For mission planning, the result implies that LSST can supply the early, distant discoveries that a Comet Interceptor-type flyby needs, with nearly all of the current virtual targets detected at double distance or more.

Reading between the lines

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

  • The systematic tendency for the model to predict fainter magnitudes than the independent catalogue suggests the 40% five-year figure is likely conservative: if comets are intrinsically brighter at large heliocentric distances than the near-perihelion fits imply, LSST would find them even earlier.
  • Because the sample contains only comets that were eventually discovered, this exercise measures LSST's relative advantage for known objects rather than the absolute incoming flux; folding the same backward-calculation method into a synthetic Oort-cloud population with LSST's selection function could turn the percentage gain into a predicted discovery rate.
  • The same machinery could be run forward once LSST data begin: each new long-period comet's fitted light curve could be used to estimate the distance and lead time at which it first became detectable, giving an operational forecast of LSST's warning capability rather than a historical counterfactual.
  • The large scatter in the validation comparison means individual discovery-time predictions are not reliable even if the ensemble statistics hold, so any mission-target decision should probably wait for LSST's own first light curves before trusting a single comet's predicted early-detection distance.
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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

3 major / 6 minor

Summary. The paper asks how much earlier a hypothetical LSST-like survey running in the decade before each comet's perihelion would have discovered the currently known long-period and hyperbolic comets. Using JPL Horizons ephemerides and the IAU photometric law given by Eq. (1), with per-comet M1 and k1 taken from the Horizons database, the authors apply an r-band limiting magnitude of 24.5, observability from Cerro Pachòn, and an apparent-motion threshold to compute hypothetical first-detection times and distances. They report that about 40% of the full sample would have been found at least five years before perihelion, that 46% would have been detected at double or more the distance of their actual discovery, and that LSST could at least double the current discovery rate. The same framework is applied to six Comet Interceptor virtual targets, with individual case studies in Section 5.

Significance. The paper's core question is well posed and practically relevant: instead of predicting absolute discovery rates from an uncertain underlying Oort-cloud population, it estimates the relative gain for already known objects. If correct, the results would quantify LSST's early-warning capability for long-period comets and inform target selection for Comet Interceptor. The analysis is transparent about its data sources and applies explicit observability, airmass, and motion constraints. The validation against the Meyer catalogue (Section 3.3, Figure 7) is a genuine strength, as is the inclusion of six individual case studies. The main weakness is that the headline percentages are quoted as sharp point estimates even though the model validation shows a residual scatter larger than three magnitudes; the paper's own Section 4 concedes that the work is 'not predictive of future discovery rate,' which sits uneasily with the abstract's 'twofold discovery rate' statement.

major comments (3)
  1. [§3.3, Eq. (1), Fig. 7] The validation against the Meyer catalogue shows a mean offset of about -1 magnitude (model systematically fainter), a standard deviation larger than 3 magnitudes, and outliers up to 12 magnitudes. The headline percentages in Sections 3.1 and 3.2—'about 40% of comets would have been observed at least five years before perihelion' and '46% of them will be detected at double the distance, at least'—are computed with a sharp detection threshold at r=24.5 but do not propagate this residual distribution. Because the magnitude changes slowly with heliocentric distance at r_h > 10 au (dT/dr_h = k1/r_h), a ±3 mag error near the threshold can shift the inferred first-detection epoch by years. The systematic mean offset makes the result conservative, but the scatter is large and asymmetric, so the point estimates are not robust. The paper should quote a range (e.g., obtained by bootstrap resampling of the residuals) or explicitly state that the numbers are lower limits, and it should quantify how much the 40% and 46% figures vary under the observed residual distribution.
  2. [§3.1, §3.2, §4, §6] The headline statistics are not mutually consistent: Section 3.1 states 'about 40%' for discovery at least five years before perihelion, Section 3.2 states 'over 45% of the sample would be discovered at least five years before perihelion' after adding speed constraints, and Section 4 states 'Forty percent of comets ... would have been detected at distances at least double those of their actual discovery,' while Section 3.2 reports 46% for the same distance-ratio metric. Section 6 further reports that '87% of them discovered at distances at least twice as far,' apparently referring to a different subset (over 150 comets detected early). The denominators and the exact metric (time before perihelion vs. distance ratio vs. subset of comets) are never fixed, so the reader cannot determine which number is the definitive result. These statistics should be recomputed on a single, clearly defined sample (e.g., all 1133 comets, the 868 observable ones, or the 98 CIPTs) and presented with uncertainties, or the inconsistent statements should be removed.
  3. [Abstract, §4] The abstract's final sentence—'we find that LSST has the potentiality to at least twofold the current discovery rate of long-period and hyperbolic comets'—is contradicted by Section 4, which states that the dataset is not representative of the flux of incoming comets, that the work does not predict future performance, and that the results are 'not predictive of LSST's future discovery rate.' This is not merely a wording issue: the two-fold claim is the most policy-relevant sentence of the paper, and the paper itself disavows it in the main text. The abstract should be amended to state only what the analysis actually establishes, namely the earlier detection of already known comets, and the two-fold sentence should either be removed or explicitly qualified as a statement about detection distances rather than discovery rate.
minor comments (6)
  1. [Throughout] The acronym is defined as 'CITPs' ('CI's potential Target Predecessors') but the text subsequently uses 'CIPTs' (e.g., Sections 3.3 and 5, Table 1); this should be made uniform.
  2. [§3.3] The catalogue name is spelled 'Meyer' in the text and 'Mayer' in the caption of Figure 7; please standardise and verify the correct spelling.
  3. [§3.1] The text refers to 'Cherro Pachòn' and 'Cerro Pachòn' in different places; use the correct name 'Cerro Pachón' consistently.
  4. [§3.2] The paragraph beginning 'This means that the detection capability depends on the cadence...' is duplicated nearly verbatim in the preceding and following paragraphs; remove the repetition.
  5. [§2.2] The condition '"M1 IS DEFINED"' appears as unformatted text; it should be typeset as a proper code or equation label, and the prose around it should explain how 'defined' is determined in the Horizons database.
  6. [References] Some references contain LaTeX backticks or spacing artifacts (e.g., 'Vokrouhlick`y et al., 2019' and 'Meechet al.'); these should be cleaned in the final version.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the LSST backcast is a transparent application of external JPL/MPC photometric fits to geometric ephemerides, with the main limitations explicitly quantified.

full rationale

The paper's derivation chain is a conditional counterfactual exercise, not a hidden reduction of output to input. Equation (1) is the standard IAU photometric model with M1 and k1 fitted externally by JPL/MPC from observed photometry; the paper retrieves these parameters rather than fitting them to the target quantities. The hypothetical LSST discovery epoch is then defined by comparing that model magnitude to the LSST r-band threshold (r = 24.5) subject to airmass and cadence constraints. This is a straightforward application of an external empirical model, and the authors explicitly disclaim future-flux prediction (“we do not predict future performance but instead analyze the potential impact of LSST on the detection of already known objects”). The distance-ratio claim in Figure 6 compares the hypothetical discovery distance r_hyp, derived from the photometric model, with r_fobs taken “according to the ephemeris computed by the Horizon software” at the actual first-observation date, which is a geometric quantity independent of the photometric fit; thus the ratio is not tautological. The validation against the Meyer catalogue is an external benchmark, and its finding of a systematic ≈ −1 mag offset with >3 mag scatter is honestly presented as a limitation rather than used to manufacture agreement. Self-citations (Schwamb et al. 2023 for moving-object cadence, Fulle et al. 2022 for Afρ checks) are auxiliary and not load-bearing: the cadence threshold is shown not to change the headline count, and the Afρ comparison is a consistency check against MPC observations. No step in the derivation reduces by construction to its own inputs, and no load-bearing claim rests on an unverified self-citation. The main weaknesses are statistical (lack of propagated uncertainty on the headline percentages) and semantic (the abstract's “twofold discovery rate” is disavowed in Section 4), but these are correctness risks, not circularity.

Assumptions & free parameters 1 free parameters · 5 assumptions · 0 invented entities

The central results rest on per-comet fitted brightness parameters and several survey assumptions. The paper itself acknowledges the strongest limitations in Section 4, but the percentages reported in the abstract and conclusions do not carry propagated uncertainties from the M1 and k1 fits.

free parameters (1)
  • Per-comet absolute magnitude M1 and slope k1 = Varies per comet; retrieved from JPL Horizons and MPC photometric fits
    The backward brightness predictions in Eq. (1) are computed from M1 and k1 fitted to each comet's observed light curve, so the early-discovery times are directly driven by these fitted values. The paper reports a mean offset of about one magnitude and scatter larger than three magnitudes against the Meyer catalogue, indicating substantial uncertainty.
assumptions (5)
  • domain assumption IAU photometric model T = M1 + 5 log delta + k1 log r_h is valid at heliocentric distances well beyond the observed arc (e.g., 10 to 30 au).
    Used in Eq. (1) and throughout Section 3; the paper acknowledges that it neglects phase angle, activity onset, and aperture effects. The Meyer catalogue comparison shows systematic underestimates up to 12 magnitudes.
  • domain assumption LSST detection requires an r-band magnitude between 14 and 24.5 and an airmass less than or equal to 2.5.
    Section 3 takes these thresholds at face value from LSST handbooks; extended-source losses are ignored, and the paper notes that a shallower 24 mag threshold delays one third of detections by about a year.
  • domain assumption On-sky motion must exceed 2.0 arcseconds per hour at the time of first detection.
    Section 3.2, based on Schwamb et al. (2023) Figure 25; only four comets in the sample are delayed by this constraint, so it is not a central driver.
  • domain assumption Orbital elements remain unchanged over the 10-year backward extrapolation, and non-gravitational forces are neglected.
    Section 4 explicitly states that temporal evolution from gravitational and non-gravitational effects is neglected, which is a real limitation for backward ephemeris calculations.
  • domain assumption The sample of known comets, especially the 98 CITPs, is adequate to assess early-discovery potential even though it is not representative of the true incoming flux.
    The paper explicitly says in Section 4 that the dataset is not representative of the flux of incoming comets, so the aggregate percentages apply only to the known catalog, not to future discoveries.

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Cite this review

Pith. "Pith review of How much earlier would LSST have discovered currently known long-period comets?." pith.science (2026). https://pith.science/paper/TEB2ZU63

@misc{pith2026241212978,
  author       = {Pith},
  title        = {Pith review of: How much earlier would LSST have discovered currently known long-period comets?},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/TEB2ZU63}},
  note         = {Machine review of arXiv:2412.12978}
}
read the original abstract

Among solar system objects, comets coming from the Oort Cloud are an elusive population, intrinsically rare and difficult to detect. Nonetheless, as the more pristine objects we can observe, they encapsulate critical cues on the formation of planetary systems and are the focus of many scientific investigations and science missions. The Legacy Survey of Space and Time (LSST), which will start to operate from the Vera C. Rubin Observatory in 2025, is expected to dramatically improve our detection ability of these comets by performing regular monitoring of the Southern sky deep down to magnitude 24.5 with excellent astrometry. However, making straightforward predictions on future LSST detection rates is challenging due to our biased knowledge of the underlying population. This is because identifications to date have been conducted by various surveys or individual observers, often without detailed information on their respective selection functions. Recent efforts to predict incoming flux of Long Period Comets still suffer of the lack of systematic, well-characterized, homogeneous cometary surveys. Here, we adopt a different point of view by asking how much earlier~on known comets on long-period or hyperbolic orbits would have been discovered by a LSST-like survey if it was already in place 10 years prior to their perihelion epoch. In this case, we are not simulating a real flux of incoming comet, as all comets in our sample reach the perihelion simultaneously, but we can analyze the impact of a LSST-like survey on individual objects. We find that LSST would have found about 40% of comets in our sample at least 5 years prior to their perihelion epoch, and at double (at least) the distance at which they were actually discovered. Based on this approach, we find that LSST has the potentiality to at least twofold the current discovery rate of long-period and hyperbolic comets.

Figures

Figures reproduced from arXiv: 2412.12978 by the authors.

Figure 1
Figure 1. Histogram of known long-period (LP) and hyperbolic (Hy) comets in the Horizon database as a function of the year of discovery. Each bin corresponds to five years. Colors correspond to surveys or observatories that have contribute with more than 10 discoveries, as labeled in the legend. We can observe a steady increment of discovery rate over the last two decades, with a current value around 27 LPCs/Hyp Comets per ye… view at source ↗
Figure 2
Figure 2. Difference in years between the time of first observations and of perihelion. More than half of the LP/Hy comets have been detected only one year prior to perihelion. Moreover, except for the notable case of comet C/2014 UN271 (Bernardinelli￾Bernstein) - which has not been included in the plot to improve clarity-, no such comets have been discovered earlier than 5 years with respect to the time of closest proximity … view at source ↗
Figure 3
Figure 3. Composition of the LP/Hy comet sample used in this work. Among the total 1133 comets, only 329 have a perihelion distance 𝑞 equal or closer than 1.2 au, and among them only 146 crossed the ecliptic plane at a relative low ecliptic latitude (within 10◦ ), with 98 of them having known luminosities in JPL: these comets are indicated as CIPTs. we analyze detection timelines using monthly timesteps and focus on yearly di… view at source ↗
Figures from the paper (4 more)
Figure 4
Figure 4. Figure 4: Left panel: number of known LP/Hy comets that would have been discovered by a LSST-like survey as a function of survey year, with the 10th year corresponding to the year of perihelion, by taking into account only the brightness limits. The number of CIPTs is also indic…
Figure 5
Figure 5. Figure 5: Comparison between the histogram of [PITH_FULL_IMAGE:figures/full_fig_p008_5.png]
Figure 6
Figure 6. Figure 6: Distribution of ratio between the inferred distances at the time of the discovery from a LSST-like survey, 𝑟ℎ𝑦𝑝, with respect to the inferred distances of LP/Hy comets 𝑟𝑓 𝑜𝑏 at the time of the actual first observation, as reported in the Horizon database. This means th…
Figure 7
Figure 7. Figure 7: Left: Visual magnitude listed in the Maik Mayer Catalogue of Comets as a function of the one inferred from Equation 1 at the time of discovery. As shown in this plot, inferred magnitude are systematically fainter. Indeed, the difference between these two values can be …

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    " 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 11, 2026 · model on record in the stance chip above.