arxiv: 2604.27420 · v1 · submitted 2026-04-30 · 🌌 astro-ph.EP · astro-ph.IM

Recognition: unknown

The Solar System Notification Alert Processing System (SNAPS): Public access to SNAPS data and products

David E. Trilling , Michael Gowanlock , Revanth Munugala , Daniel R. Kramer , Maria Chernyavskaya , Erin Clark , Graceson Mule , Savannah Chappus

Authors on Pith no claims yet

Pith reviewed 2026-05-07 09:05 UTC · model grok-4.3

classification 🌌 astro-ph.EP astro-ph.IM

keywords SNAPSsolar systemmoving objectsZTFLSSTdata accessdownstream brokeralert processing

0 comments

The pith

SNAPS ingests moving object data from ZTF and LSST and serves the results and derived properties to the public.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper describes the Solar System Notification Alert Processing System, SNAPS, which functions as a downstream broker that ingests moving object data from the ZTF and LSST surveys. It details the databases and access methods that make this information and any derived properties available to the public. A sympathetic reader would care because this creates an open channel for studying solar system objects using data from major surveys, without requiring users to process raw alerts themselves. The document is presented as a living resource that will be revised to reflect ongoing changes in the system's infrastructure.

Core claim

The Solar System Notification Alert Processing System, SNAPS, is a downstream broker that ingests moving object data from ZTF and LSST and serves these data and derived properties to the public. This document describes how users can access our SNAPS data and products. This is intended to be a living document that will be updated on the arXiv when significant improvements are made to our data access schemes, and will therefore always contain the most up to date information about interacting with our databases and infrastructure.

What carries the argument

SNAPS, the downstream broker and its public databases that process and distribute moving object detections and properties from ZTF and LSST.

If this is right

Users can query SNAPS for moving object detections and derived properties from ZTF and LSST.
The system combines data from multiple surveys into accessible public products.
Future improvements to data access will appear in updated versions of this document.
Researchers and the public gain direct tools to analyze solar system objects without handling raw survey alerts.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

Public availability of SNAPS products could support citizen science efforts tracking solar system bodies over time.
The living document format may serve as a model for other survey data projects to keep access instructions current.
Integration of SNAPS outputs with additional archives could enable broader studies of object populations across surveys.

Load-bearing premise

The described databases, infrastructure, and access methods are operational and will remain current as a living document.

What would settle it

Public queries to the described SNAPS databases that return no ZTF or LSST moving object data, or non-functional access interfaces, would disprove the claim that the system provides the stated public access.

read the original abstract

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

SNAPS is a downstream broker for ZTF and LSST solar system moving objects, but the paper is mainly a user guide for accessing its data products.

read the letter

SNAPS is a downstream broker that ingests moving object data from ZTF and LSST and serves it plus derived properties to the public. This paper is the documentation for how to access that data and infrastructure, presented as version 1.0 of a living document that will be updated on arXiv. The new part is the implementation of this specific system for solar system objects. While alert brokers are not novel in astronomy, tailoring one to moving objects and making the products public fills a practical need, especially as LSST ramps up. The authors describe the access schemes and databases in enough detail to give users a starting point. It does well by keeping the focus on usability and committing to updates on arXiv so the info stays current. That approach shows they understand how these systems change over time. The soft spots are that everything is descriptive with no examples of real queries or outputs, no error analysis, and no evidence that the system is actually running or producing reliable results. You have to accept on faith that the infrastructure exists and works. Without sample data or performance details, it's hard to gauge the real value beyond the description. This paper is for solar system astronomers and anyone who wants to work with public moving object alerts from these surveys. It could save time for people setting up their own data pipelines. I think it deserves peer review in an appropriate venue like a data or software journal because accurate documentation of access methods benefits the community. Even though it's not a scientific result, getting the details right matters for reproducibility and use.

Referee Report

0 major / 3 minor

Summary. The manuscript describes the Solar System Notification Alert Processing System (SNAPS) as a downstream broker that ingests moving-object data from the ZTF and LSST surveys and provides public access to these data along with derived properties. It functions as version 1.0 of a living document outlining access methods, databases, and infrastructure, with the intent to be updated on arXiv as improvements occur.

Significance. If the described access methods and infrastructure are operational, the paper provides a practical resource that enables the broader community to query and utilize processed solar-system object data from major time-domain surveys. This supports research in asteroid dynamics, near-Earth object characterization, and related fields by reducing barriers to data use.

minor comments (3)

Abstract: the statement that the document 'will therefore always contain the most up to date information' should be tempered with a note directing users to check the project website or GitHub for the latest status, given that arXiv versions are static once posted.
The manuscript would benefit from a dedicated section or table listing the specific derived properties (e.g., orbital elements, photometry) that are computed and served, to make the scope of the products immediately clear to readers.
Include at least one concrete example query or API call (with expected output format) in the data-access section to illustrate usage for new users.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their review and positive assessment of the manuscript. We appreciate the recognition that SNAPS provides a practical resource for the community to access processed moving-object data from ZTF and LSST, and we note that the referee's description aligns with our intent for this to serve as version 1.0 of a living document to be updated on arXiv.

Circularity Check

0 steps flagged

No significant circularity: purely descriptive infrastructure documentation

full rationale

The manuscript is a user guide and living documentation for the SNAPS data broker. It contains no equations, derivations, fitted parameters, predictions, or deductive chains. The central claim is that the described databases, schemas, and access endpoints exist and are available to the public; this claim is supported directly by the paper's own content as a reference manual rather than by any internal reduction to inputs or self-citation. No load-bearing steps of the enumerated circularity patterns are present.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The paper is a system description with no mathematical derivations, physical models, or new entities introduced.

pith-pipeline@v0.9.0 · 5415 in / 899 out tokens · 42055 ms · 2026-05-07T09:05:24.702204+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

11 extracted references · 8 canonical work pages

[1]

P., Tollerud, E

Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167, doi: 10.3847/1538-4357/ac7c74

work page doi:10.1051/0004-6361/201322068 2013
[2]

C., Kulkarni, S

Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002, doi: 10.1088/1538-3873/aaecbe

work page doi:10.1088/1538-3873/aaecbe 2019
[3]

1989, in Asteroids II, ed

Bowell, E., Hapke, B., Domingue, D., et al. 1989, in Asteroids II, ed. R. P. Binzel, T. Gehrels, & M. S. Matthews, 524–556

1989
[4]

E., Butler, N

Gowanlock, M., Kramer, D., Trilling, D. E., Butler, N. R., & Donnelly, B. 2021, Astronomy and Computing, 36, 100472

2021
[5]

E., Kramer, D., Chernyavskaya, M., & McNeill, A

Gowanlock, M., Trilling, D. E., Kramer, D., Chernyavskaya, M., & McNeill, A. 2024, AJ, 168, 56, doi: 10.3847/1538-3881/ad4da5 Ivezi´ c,ˇZ., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111, doi: 10.3847/1538-4357/ab042c

work page doi:10.3847/1538-3881/ad4da5 2024
[6]

, keywords =

Kurlander, J. A., Bernardinelli, P. H., Schwamb, M. E., et al. 2025, AJ, 170, 99, doi: 10.3847/1538-3881/add685

work page doi:10.3847/1538-3881/add685 2025
[7]

Lomb, N. R. 1976, Astrophysics and space science, 39, 447 LSST Science Collaboration, Abell, P. A., Allison, J., et al. 2009, arXiv e-prints, arXiv:0912.0201, doi: 10.48550/arXiv.0912.0201

work page Pith review doi:10.48550/arxiv.0912.0201 1976
[8]

2021, AJ, 161, 107, doi: 10.3847/1538-3881/abd703 Plotly Technologies Inc

Matheson, T., Stubens, C., Wolf, N., et al. 2021, AJ, 161, 107, doi: 10.3847/1538-3881/abd703 Plotly Technologies Inc. 2015, Collaborative data science,

work page doi:10.3847/1538-3881/abd703 2021
[9]

Scargle, J. D. 1982, Astrophysical Journal, Part 1, vol. 263, Dec. 15, 1982, p. 835-853., 263, 835

1982
[10]

E., Gowanlock, M., Kramer, D., et al

Trilling, D. E., Gowanlock, M., Kramer, D., et al. 2023, AJ, 165, 111, doi: 10.3847/1538-3881/acac7f

work page doi:10.3847/1538-3881/acac7f 2023
[11]

E., et al

Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2

work page doi:10.1038/s41592-019-0686-2 2020