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arxiv: 1906.09428 · v1 · pith:2JYX63AOnew · submitted 2019-06-22 · 🌌 astro-ph.SR

Release note: Massive peak bagging of red giants in the Kepler field

T. Kallinger This is my paper

Pith reviewed 2026-05-25 18:14 UTC · model grok-4.3

classification 🌌 astro-ph.SR
keywords red giantsKeplerasteroseismologyoscillation modespeak baggingmixed modesstellar evolutionAPOGEE
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The pith

Frequencies, amplitudes, and lifetimes of over 250,000 oscillation modes are extracted from 6179 Kepler red giants.

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

The paper releases parameters for a large set of individual oscillation modes observed in Kepler red giant stars. These include frequencies, amplitudes, and lifetimes for modes with spherical degree l=0 to 3 across more than six thousand stars. The sample reaches from the lower red-giant branch through the asymptotic giant branch. When paired with available spectroscopic data the catalog supports detailed examination of stellar structure and evolution.

Core claim

Frequencies, amplitudes, and lifetimes of more than a quarter of a million oscillation modes of the spherical degree l=0 to 3 have been observed in 6179 Kepler red giants. The modes were extracted with the Automated Bayesian Peak-Bagging Algorithm (ABBA) and the results are publicly available.

What carries the argument

The Automated Bayesian Peak-Bagging Algorithm (ABBA), which extracts individual mode parameters from the complex mixed-mode patterns in the power density spectra.

Load-bearing premise

The Automated Bayesian Peak-Bagging Algorithm accurately extracts individual mode parameters from the complex mixed-mode patterns in the power density spectra without significant contamination, missed modes, or systematic biases across the full sample.

What would settle it

A side-by-side comparison on a representative subset of stars in which an independent manual analysis recovers substantially different frequencies, amplitudes, or lifetimes, or detects many modes the algorithm missed.

Figures

Figures reproduced from arXiv: 1906.09428 by T. Kallinger.

Figure 1
Figure 1. Figure 1: Power density spectrum of the central four radial orders of KIC 1433803. Radial modes [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Seismic HR-diagram showing the full sample of APOKASC red giants with the metallicity [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: The about 17 000 radial modes with a mode evidence > 0.99 for 3 375 H-shell burning [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: The about 50 000 l = 1 modes with a mode evidence > 0.99 for 3 375 H-shell burning stars with color-coded amplitudes (top) and lifetimes (bottom) [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: The seven radial p-mode orders of KIC 1433803 that contain significant oscillation modes. [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Mode frequencies (top – in an echelle diagram), amplitudes (middle), and lifetimes [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
read the original abstract

The NASA satellite Kepler has gathered about 1420 days-long photometric time series for more than 20000 red giant stars. For about 6600 of them also APOGEE spectroscopic parameters are available, making the sample of high interest for various astrophysical investigations. To optimally exploit the full wealth of the seismic information, extraction of mode parameters of all significant individual frequencies is necessary. However, the complex structure of the mixed mode pattern makes it challenging to automate the peak bagging (i.e., the extraction of the individual mode parameters from the stars power density spectra). Even though several approaches have been successfully implemented, the available results are still limited to a handful of stars. Here I present frequencies, amplitudes, and lifetimes of more than a quarter of a million oscillation modes of the spherical degree l=0 to 3, which have been observed in 6179 Kepler red giants. The sample covers evolutionary stages from the lower red-giant branch to high up the asymptotic giant branch. The modes were extracted with the Automated Bayesian Peak-Bagging Algorithm (ABBA) and are publicly available at https://github.com/tkallinger/KeplerRGpeakbagging

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.

Referee Report

1 major / 1 minor

Summary. The manuscript is a release note for a public catalog of frequencies, amplitudes, and lifetimes for more than 250,000 individual oscillation modes (l=0–3) extracted from the power density spectra of 6179 Kepler red giant stars using the Automated Bayesian Peak-Bagging Algorithm (ABBA). The sample spans evolutionary stages from the lower red-giant branch to the asymptotic giant branch, with the data released via a GitHub repository.

Significance. If validated, a catalog of this scale would enable population-level asteroseismic studies of red giants. The public release is a clear strength. The absence of any reported validation, error analysis, or performance metrics for ABBA on this sample, however, limits the immediate scientific utility of the release.

major comments (1)
  1. [Abstract] Abstract: The claim that the modes 'have been observed' and extracted for 6179 stars rests on the performance of ABBA, yet the manuscript supplies no validation metrics, error budgets, comparisons to manual fits, or bias/contamination statistics; this is load-bearing for the central claim of the catalog's accuracy and completeness.
minor comments (1)
  1. The note could include a short reference to the original ABBA publication or a one-paragraph summary of how the algorithm handles mixed-mode forests.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their review and for identifying a key limitation in the current version of this release note. We address the major comment below and outline the revisions we will make.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The claim that the modes 'have been observed' and extracted for 6179 stars rests on the performance of ABBA, yet the manuscript supplies no validation metrics, error budgets, comparisons to manual fits, or bias/contamination statistics; this is load-bearing for the central claim of the catalog's accuracy and completeness.

    Authors: We agree that the manuscript does not contain explicit validation metrics, error budgets, or performance statistics for ABBA applied to the full 6179-star sample, which limits the immediate usability of the catalog. As a release note, the original focus was on describing the data products and their public availability rather than re-deriving the method's validation. To address this directly, we will revise the manuscript by adding a short section that summarizes ABBA's performance (including typical uncertainties, mode detection rates across evolutionary stages, and references to prior tests against manual fits on smaller samples). We will also update the abstract to replace 'have been observed' with 'extracted using the Automated Bayesian Peak-Bagging Algorithm (ABBA)' and add a forward reference to the new section. These changes will be incorporated in the revised version. revision: yes

Circularity Check

0 steps flagged

No circularity: data-release note with no derivation or prediction chain

full rationale

The manuscript is a release note whose sole content is the public catalog of >250k mode parameters for 6179 stars. It states that the modes 'were extracted with' ABBA and links to a GitHub repository, but contains no equations, no fitting procedure, no predictions, and no derivation that could reduce to its inputs. No self-definitional steps, fitted-input predictions, or load-bearing self-citations appear. The paper is therefore self-contained against external benchmarks as a data product; its scientific value rests on the catalog's independent usability rather than any internal derivation.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a data-release note with no new physical model, derivation, or fitted parameters introduced; it relies on the pre-existing ABBA algorithm whose details are not provided here.

pith-pipeline@v0.9.0 · 5732 in / 1021 out tokens · 26704 ms · 2026-05-25T18:14:53.883064+00:00 · methodology

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Probing Red Giant Interiors with G-Dominated Mixed Modes I: The Cases of KIC 9145955, KIC 9970396, KIC 9882316 and KIC 11968334

    astro-ph.SR 2026-04 unverdicted novelty 4.0

    Asteroseismic fits to g-dominated mixed modes in four red giants suggest convective overshooting rises with mass and yield a core rotation rate of 0.7409 μHz for KIC 11968334.

Reference graph

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