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arxiv: 2604.05332 · v1 · submitted 2026-04-07 · 🌌 astro-ph.GA

Recognition: no theorem link

A Catalog of Mid-infrared Variable Sources in the Ecliptic Poles

Minjin Kim , Suyeon Son , Shinyu Kim , Luis C. Ho , Woong-Seob Jeong , Bomee Lee , Yujin Yang
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Pith reviewed 2026-05-10 20:15 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords mid-infrared variabilityNEOWISEecliptic polesactive galactic nucleiquasarstransientscatalogstellar variability
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The pith

A catalog from NEOWISE data identifies 2,764 mid-infrared variables in the north ecliptic pole and 27,581 in the south, plus three transients all tied to obscured quasars.

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

The authors build a catalog of mid-infrared variable sources from repeated NEOWISE observations covering 5-degree radius areas around the north and south ecliptic poles. They select the variables by calculating how much each source's brightness strays from a steady level and by confirming that the changes line up between the 3.6 and 4.5 micron bands. This produces 2,764 variables in the north, mostly active galactic nuclei, and 27,581 in the south, mostly stars near the Large Magellanic Cloud. Three short-lived brightening events appear in the north, each overlapping an obscured quasar, which points to a possible role for surrounding dust in these sudden changes. The catalog supplies ready light curves for joint use with other time-domain surveys.

Core claim

We construct a catalog of mid-infrared variable sources using the multi-epoch 3.6 and 4.5 micron NEOWISE dataset at the north and south ecliptic poles. After careful data processing to ensure reliable photometry, we identify 2764 variables in the NEP and 27581 in the SEP by applying the probability of deviation from non-variable behavior together with the correlation coefficient between the two bands. Cross-matching shows that active galactic nuclei dominate the variables in the NEP while stellar objects are more common in the SEP. We find three MIR transients in the NEP, all coinciding with obscured QSOs, which suggests a physical connection between the transient events and circumnuclear ob

What carries the argument

The statistical selection that combines the probability a source deviates from constant brightness with the correlation coefficient of its changes across the 3.6 and 4.5 micron bands.

If this is right

  • The catalog supplies well-sampled light curves over regions repeatedly targeted by current and future missions.
  • Gaia proper motions combined with mid-infrared color-color diagrams narrow down whether each variable is an active galaxy or a star.
  • The catalog supports joint analyses with other time-domain surveys across multiple wavelengths.
  • The coincidence of the three transients with obscured quasars suggests dust near galaxy centers may trigger or reveal sudden brightness changes.

Where Pith is reading between the lines

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

  • Similar statistical filters could be run on other multi-epoch infrared datasets to build a wider map of variable sources.
  • The proposed connection between transients and circumnuclear dust could be checked by searching for comparable events around less-obscured quasars.
  • Refinements to artifact rejection will matter most when the same method is applied to denser fields or data with different noise properties.

Load-bearing premise

That the chosen probability threshold and band-to-band correlation cleanly pick out real astrophysical variability rather than noise or processing artifacts.

What would settle it

Independent high-precision photometry from another instrument showing that a large fraction of the cataloged sources maintain constant brightness.

Figures

Figures reproduced from arXiv: 2604.05332 by Bomee Lee, Luis C. Ho, Minjin Kim, Shinyu Kim, Suyeon Son, Woong-Seob Jeong, Yujin Yang.

Figure 1
Figure 1. Figure 1: Representative cutouts of an ordinary area (left) and high-density stellar regions (right) within the SEP. 10 12 14 16 m [mag] 10 3 10 2 10 1 ¾ [m a g] W1 W2 [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Median photometric errors as a function of mag￾nitude for the W1 (blue) and W2 (red) bands. The shaded regions represent the 16th to 84th percentile range within each magnitude bin. data are available from modified Julian dates (MJD) 56784.3 to 60532.3, we restrict our analysis to WISE data within this time interval, which covers the entire NEOWISE dataset. In general, when accounting only for extragalacti… view at source ↗
Figure 3
Figure 3. Figure 3: Distributions of the correlation coefficient (r) for the NEP (left) and SEP (right). While blue histograms represent the entire AllWISE sample with S/N > 10 in both W1 and W2 bands, sources satisfying Pvar > 0.95 for both bands are denoted by red-filled histograms. Dashed lines indicate Gaussian fits for sources with r ≤ 0, and dotted lines represent our selection criteria (i.e., r = 0.7) for variable sour… view at source ↗
Figure 4
Figure 4. Figure 4: Examples of W1 (top) and W2 (bottom) light curves for spurious sources affected by the afterimage of a nearby bright object. These exhibit quasi-periodic light curves with a period of ∼ 1 yr. The corresponding structure functions are shown in the right panels. precise threshold for variability is complex, the sample density increases significantly above r ∼ 0.7. To ensure high sample purity and minimize no… view at source ↗
Figure 5
Figure 5. Figure 5: The distributions of spectroscopic or photomet￾ric redshifts obtained from the various QSO catalogs. For objects with multiple catalog matches, we prioritize them in the following order: DESI, Quaia, and Milliquas. plementary data from external surveys. Given that the observed variability may originate from AGNs, we cross￾match our sources with three distinct AGN catalogs. First, we utilize the Dark Energy… view at source ↗
Figure 6
Figure 6. Figure 6: W1−W2 versus W2−W3 MIR color diagram for the NEP (left) and SEP (right). The contours represent the distributions of the entire WISE sample. The red and blue dots indicate variable sources with and without significant proper motions, respectively. The dashed line denotes the AGN wedge adopted from S. Mateos et al. (2012). Wright et al. 2010), while the other lies within or just below the AGN wedge, charact… view at source ↗
Figure 7
Figure 7. Figure 7: Same as [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: MIR light curves of the three identified variable sources exhibiting transient behavior. luminous and variable in the MIR. As shown in Fig￾ure 7, the locations of these evolved stars in the MIR color-color diagram coincide with those of MIR variable sources with significant PMs. This finding further con￾firms that the majority of variable sources in the SEP are attributable to stellar activity. 5. MIR TRAN… view at source ↗
Figure 9
Figure 9. Figure 9: SED fitting results for the transient targets. Blue circles represent the observed photometry, while black dashed, red solid, and cyan dotted lines denote the best– fit templates for inactive galaxies, QSOs, and stars, respec￾tively. All targets are well-fit by the obscured QSO tem￾plates. lines of MIR light curves, which is essential for charac￾terizing sources with long variability timescales, such as lu… view at source ↗
read the original abstract

We construct a catalog of mid-infrared (MIR) variable sources using the multi-epoch 3.6 (W1) and 4.5 $\mu$m (W2) dataset from the Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE) at the north and south ecliptic poles (NEP and SEP). The catalog provides well-sampled light curves that cover areas within a radius of 5 degrees from the poles, which are frequently observed by current and forthcoming missions. By carefully processing the NEOWISE data to secure reliable photometric measurements, we identified 2764 and 27581 variables in the NEP and SEP, respectively, using the probability deviating from the non-variable and the correlation coefficient between W1 and W2. Cross-correlation with various complementary datasets reveals that, in the NEP, variability is dominated by active galactic nuclei, whereas stellar objects are more common in the SEP due to its proximity to the Large Magellanic Cloud. In particular, proper motion measurements from Gaia and MIR color-color diagrams are ideal for narrowing down the physical origin of the MIR variable sources. We identify three MIR transients in the NEP. Interestingly, all coincide with obscured QSOs, suggesting a physical connection between transient events and circumnuclear obscuration. Finally, we discuss the potential applications of our catalog in synergy with existing and future time-domain surveys.

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

2 major / 2 minor

Summary. The manuscript constructs a catalog of mid-infrared variable sources from multi-epoch NEOWISE W1 (3.6 μm) and W2 (4.5 μm) photometry at the north and south ecliptic poles. It reports 2764 variables in the NEP and 27581 in the SEP, selected via the probability of deviation from non-variable behavior combined with the W1–W2 correlation coefficient, provides well-sampled light curves within 5° of the poles, classifies sources through cross-matches with Gaia and other catalogs (AGN-dominated in NEP, stellar-dominated in SEP), and identifies three MIR transients in the NEP that coincide with obscured QSOs.

Significance. If the variability selection proves robust, the catalog supplies a useful resource of densely sampled MIR light curves in a region targeted by multiple current and future missions, enabling cross-survey time-domain studies. The reported association of the three transients with obscured QSOs, if confirmed, could motivate targeted follow-up on the connection between transient events and circumnuclear material.

major comments (2)
  1. [Abstract and §3] Abstract and §3 (variability selection): the catalog sizes (2764 NEP / 27581 SEP) and the three-transient claim rest on the dual criteria of deviation probability from non-variable behavior plus W1–W2 correlation coefficient, yet no injection-recovery tests, control-field false-positive rates, or quantitative error budgets against known NEOWISE systematics (PSF variation, background gradients, bad-pixel persistence) are presented. This directly affects the reliability of the reported numbers and the subsequent QSO coincidence.
  2. [Results] Results section (transient identification): the claim that all three NEP transients coincide with obscured QSOs and therefore suggest a physical link to circumnuclear obscuration lacks a statistical assessment of random-alignment probability or contamination rate given the surface density of known QSOs and the selection function.
minor comments (2)
  1. [Abstract] Abstract: quantitative thresholds for the deviation probability and correlation coefficient, as well as the adopted false-positive tolerance, are not stated, making it difficult to reproduce or assess the selection.
  2. [Figures and §4] Figure captions and text: the light-curve examples and color-color diagrams would benefit from explicit error bars on individual epochs and a clear statement of the photometric precision achieved after the described processing steps.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive and detailed comments on our manuscript. We address each major point below and will revise the manuscript to strengthen the presentation of our variability selection and transient analysis.

read point-by-point responses

  1. Referee: [Abstract and §3] Abstract and §3 (variability selection): the catalog sizes (2764 NEP / 27581 SEP) and the three-transient claim rest on the dual criteria of deviation probability from non-variable behavior plus W1–W2 correlation coefficient, yet no injection-recovery tests, control-field false-positive rates, or quantitative error budgets against known NEOWISE systematics (PSF variation, background gradients, bad-pixel persistence) are presented. This directly affects the reliability of the reported numbers and the subsequent QSO coincidence.

    Authors: We agree that explicit injection-recovery tests and control-field false-positive rates are not presented in the submitted manuscript. Our dual selection criteria follow methods validated in prior NEOWISE variability papers, and cross-matches with Gaia and other catalogs provide independent support for the classifications. To directly address the concern, the revised §3 will include a quantitative discussion of NEOWISE systematics (PSF variation, background gradients, and persistence) together with false-positive rate estimates derived from adjacent off-pole control fields. This will supply an error budget for the catalog sizes and bolster in the three transients. revision: yes

  2. Referee: [Results] Results section (transient identification): the claim that all three NEP transients coincide with obscured QSOs and therefore suggest a physical link to circumnuclear obscuration lacks a statistical assessment of random-alignment probability or contamination rate given the surface density of known QSOs and the selection function.

    Authors: The original manuscript reports the positional coincidence of the three transients with obscured QSOs but does not quantify the probability of chance alignment. We will add this statistical assessment to the revised Results section, computing the expected number of random matches using the surface density of known obscured QSOs, the area of the NEP field, and our variability selection function. This will clarify the significance of the association and address potential contamination. revision: yes

Circularity Check

0 steps flagged

No circularity: purely observational catalog with no derivations or self-referential steps

full rationale

The paper is an observational catalog paper that processes NEOWISE multi-epoch photometry to identify variables via two direct statistical measures (probability of deviation from non-variable behavior and W1–W2 correlation coefficient) followed by cross-matching. No physical models, fitted parameters, or derivations are claimed; the variable counts and transient identifications are outputs of data cuts and catalog cross-matches rather than any equation that reduces to its own inputs. No self-citation chains, ansatzes, or uniqueness theorems are invoked as load-bearing premises. The work is therefore self-contained against external benchmarks and receives the default non-circularity finding.

Axiom & Free-Parameter Ledger

2 free parameters · 0 axioms · 0 invented entities

This is an observational catalog paper. No new physical axioms, models, or entities are introduced. The only free parameters are the numerical thresholds used to define variability (deviation probability and correlation coefficient), whose exact values are not stated in the abstract.

free parameters (2)
  • variability deviation probability threshold
    Criterion for sources deviating from non-variable behavior; exact cutoff value not given in abstract.
  • W1-W2 correlation coefficient threshold
    Minimum correlation required between the two bands to confirm variability; exact value not specified.

pith-pipeline@v0.9.0 · 5573 in / 1274 out tokens · 50962 ms · 2026-05-10T20:15:20.658350+00:00 · methodology

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