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Research Notes of the AAS

The American Astronomical Society's journal for short, timely results. It is moderated by an editor for appropriateness and format rather than peer-reviewed, publishes within days, is free, and gives every note a DOI and an ADS listing. This is the first publication for this project.

Rolling · no deadline≤ 1,500 words · 1 figure or tableFree · CC BY 4.0Facts checked 12 Oct 2026
Note drafted, compiled, reproducibleFill author details, then submit

Why this is the near-certain one: RNAAS checks that a note is appropriate astronomy and properly formatted. It doesn't ask for novelty or completeness, and accepted notes are typically online within 72 hours. It still carries the AAS name, a DOI and an ADS entry, which is real, citable proof that the work exists.

Honest caveat: moderation is not a rubber stamp. The editor can decline a note that reads as out of scope or as an unfounded theory. This note is a controlled experiment with public code and conservative claims, which is the kind RNAAS publishes.

Venue facts

Length≤ 1,500 words including title, headers, captions and references. The required abstract is ≤ 150 words. Table contents don't count. One figure or one table, not both.
ReviewNot peer-reviewed. Moderated by an editor for appropriateness and format, published as submitted with no copy-editing, typically within 72 hours of acceptance.
Cost and licenceNo author charges. Gold open access, CC BY 4.0.
IndexingDOI, indexed in NASA ADS. arXiv accepts RNAAS notes.
FormatAASTeX v7 (preferred), Word or Overleaf. No line numbers. Single authors write in the first person singular.
Submit ataas.msubmit.net (Editorial Office).
SourcesRNAAS preparation guidelines · Research Notes of the AAS

The note

Keeping a “None of the Above” Hypothesis Matters More Than Planning With It: A Controlled Test for Transient Follow-Up

Information-driven follow-up planners for astronomical transients usually assume the event belongs to one of a fixed set of classes. We test, in a controlled toy problem, what happens when it does not. Across simulated fading transients ( seeds), a closed-world expected-information-gain planner was confidently wrong on of events from a withheld class. Adding an explicit unmodeled hypothesis h₀, represented by a Gaussian process, to the posterior removes most of this failure. Planning with h₀ helped only modestly: the open-world planner flagged of withheld events, against for the closed-world planner's measurements rescored with h₀. Randomly timed measurements rescored the same way flagged . Information-gain planning, even with h₀, chose measurements that exposed model inadequacy less well than random timing, so inadequacy detection has to be designed into the planning objective explicitly.

Read the compiled draft (PDF) →

Results at a glance

Measurements chosen byScored withConfidently wrong (withheld)Flagged h₀ (withheld)AUROC of P(h₀)
Randomclosed-world—
Randomopen-world (post hoc)
Closed-world EIGclosed-world—
Closed-world EIGopen-world (post hoc)
Open-world EIG (P)open-world

Source: research/results/rnaas_note/numbers.json, generated by research/figures/rnaas_note.py from research/results/phase1_full/ (seeds ).

Submission steps

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