2026-07-19
v30.6 is a pure literature and wording revision of v30.5: no numbers, equations, figures, tables, validation domains, or conclusions were changed. All edits arise from a systematic novelty search against the published literature, intended to answer a question that must be self-answered before submission and that reviewers will inevitably ask— which parts of this paper are new, and which are not?
The search yielded two outcomes:
Good news (the majority): the distribution-level claims of this paper—conditioning on the fitted amplitude , the three-parameter Fisher-projected variance, the beyond-Fisher low-signal correction law and its mechanism, the pipeline residual calibration, and the percentile threshold-crossing sensitivity map in space—are not found in the published literature.
One necessary correction: the conditional mean formula is not original to this paper. It has a direct precedent in the published literature (Stewart 2009), which v30.5 did not cite; and v30.5’s introductory statement that “prior work failed to treat as a sampling distribution” was too strong in light of that paper.
v30.6 therefore does two things: adds four (five-entry) previously omitted citations and narrowed the novelty claim from “we first did X” to “prior work stopped at the mean; we added the width and the threshold-crossing.” This narrowing sacrifices no substantive contribution; on the contrary, it makes the remaining claims irrefutable.
The search targeted each of the paper’s five core claims separately, covering: X-ray survey sensitivity-map and selection-function methodology (XMM/Chandra/eROSITA), Cash-statistic distribution and moments, asymptotic likelihood theory in high-energy physics, and recent 2024–2026 catalog pipeline papers. The closest precedent (Stewart 2009) was read in full-text PDF section by section, not just by abstract.
Maximum-likelihood detection of sources among Poissonian
noise, I. M. Stewart, A&A 495, 989–1003
(2009), §4.1 Eq. (5) gives
Dropping the constant
,
this is term-by-term identical to the single-amplitude limit of our
Eq. (1) (eq:mu3p). Stewart explicitly writes that the
expression “is considered to be useful for the construction of
sensitivity maps for Cash source detection”—i.e., the intended use is
also the same. The paper also:
Inverts to define detection sensitivity , and explicitly discusses whether to use the mean or the median for this purpose (§2.3.1);
Validates with –-member Monte Carlo that, after excluding negative-amplitude fits, the Cash-statistic null distribution is approximately at the corresponding degrees of freedom (3 when amplitude and position are free), and on this basis rebutted the critique of Protassov et al. (2002) of likelihood-ratio source detection (§2.4.3–2.4.4, Fig. 3);
Explicitly states that the emldetect DET_ML column
is computed correctly under their tests (§2.4.4, Fig. 4).
Stewart’s formula differs from our in three respects, and those three differences are exactly where this paper stands:
| Stewart (2009) | This paper | |
|---|---|---|
| Conditioning variable | model (injected) amplitude | fitted amplitude (the only observable in real images) |
| Fitting mask | not explicit | explicit (production ) |
| Free position params | mean is amplitude-only | three parameters; variance includes Fisher projection over position directions |
| Distribution | uses only the mean; discussed but not modeled | mean + analytic width + empirical calibration + threshold-crossing probability |
| Low-signal bias | empirical additive constant | -dependent decay law , with mechanism diagnosis |
Stewart’s additive constant , obtained “by a series of reasonable approximations,” which he notes degrades at low amplitude after discarding negative-amplitude fits—this is qualitatively the same phenomenon as the low-signal additive mean shift measured in this paper. v30.6 records this correspondence explicitly in the “Closed-form global corrections” section and notes the difference: in our three-parameter production setting the shift is not a constant but decays as and depends on background. This connects a previously unexplained 2009 empirical fudge factor into our mechanism narrative, which is a net gain for both sides.
The derivation structure of our §3—Asimov dataset gives the
conditional expectation, Fisher information gives the variance—is
exactly the framework systematically established in high-energy physics
by Cowan, Cranmer, Gross & Vitells (2011, EPJC 71,
1554), building on the results of Wilks and Wald for the asymptotic
distribution of
under the signal hypothesis. v30.5 used the term “Asimov image” without
giving a source; the entry was in fact already in
i044_references.bib (key Cowan_2011),
just never \cited.
Citing it is advantageous: it positions this paper as the extension of a mature framework to pixelized Poisson imaging, where the genuinely difficult parts—pixelized PSF, fitting mask, fluctuation directions absorbed by free position parameters—are exactly our technical content.
Kaastra (2017, A&A 605, A51) gives closed-form expressions for the expectation and variance of the C statistic. The key distinction: that is the C-statistic moment of the null model in a spectral goodness-of-fit context, whereas this paper treats the conditional moments of the likelihood-ratio improvement in a source detection context. Citing it draws a precise boundary around what has been done with “Cash-statistic moments” and what has not.
The v30.4 companion note already argued that the beyond-Fisher residual is not a local phenomenon, because the observed is a supremum over the position search domain and an interior Taylor expansion cannot represent the argmax. This has a mature name in high-energy physics—the look-elsewhere effect (Gross & Vitells 2010, EPJC 70, 525). v30.6 adds this citation, giving the mechanism claim support from established theory rather than relying solely on this project’s empirical decomposition.
The following claims have no precedent found in the search and constitute the paper’s unique value:
Observable conditioning (on
rather than
).
All published sensitivity-map / selection-function work— aperture
photometry (Georgakakis et al. 2008), eSASS apetool, SAS
esensmap, eROSITA digital twins (Liu, Brunner, Seppi, et
al.), Chandra CSC2—conditions on the true injected flux.
Three-parameter Fisher-projected variance (pixel-sum formula including mask).
The beyond-Fisher correction law and its constraint evidence from two failed derivations, PSF-family specificity, and position-argmax mechanism.
The pipeline residual calibration: analytic backbone sparse-grid empirical residual LOPO error budget. Existing catalog practice has only the two extremes—pure analytic mean or pure end-to-end Monte Carlo; the middle route has no precedent.
Percentile threshold-crossing sensitivity map in space, and the bidirectional (catalog interpretation / catalog construction) use of the same forward kernel.
All changes are in i044_manuscript_v30.6_zh.tex, six
body passages
four new bib entries.
| Location | Change | Reason |
|---|---|---|
| Introduction, operational-scale paragraph | Added two sentences recording Stewart (2009)’s Monte Carlo rebuttal of Protassov et al. (2002) and stating that this paper does not take sides in that debate | v30.5 cited only Protassov; omitting the other side of the debate would look like incomplete literature awareness, and our operational stance needs no side |
| Introduction, “mean long computed analytically” paragraph | Listed Stewart (2006, 2009) as the direct source of that approach; noted that their closed-form mean is the single-amplitude limit of our formula | The core priority correction. This is the most important change in v30.6 |
| Introduction, after the same paragraph (new paragraph added) | Explicitly listed the two gaps left by prior work: the conditioning variable is the model amplitude, not the fitted amplitude; and the distribution used only the mean—width and shape were never modeled, validated, or calibrated. Cited Kaastra (2017) to draw the boundary of “Cash-statistic moments” | Replaces the overly strong “prior literature failed to treat as a sampling distribution.” The new statement is fully defensible after the search |
| Introduction, non-central paragraph | Added Asimov/Wald lineage note, citing Cowan et al. (2011) | The term previously had no source; proactively claiming the lineage strengthens positioning |
| §3.3 Conditional mean | Cited Cowan et al. (2011) at “Asimov image”; after Eq. (1) added a paragraph noting that its single-amplitude limit is Stewart (2009)’s expression, and listing our three generalizations | Putting the priority statement at the formula, not just in the introduction |
| §3.6 Fisher projection | Noted that the score-constrained projection is the imaging-specific form of the Wald-type asymptotic argument | Same as above |
| §4.6 Closed-form global corrections | Cited Gross & Vitells (2010) for position-argmax; added Stewart’s “+1” constant and its correspondence and difference with our low-signal shift | Mechanism claim now has established-theory support; also brings a historical fudge factor into our narrative |
| §8 Conclusions, first paragraph | Changed “treating as a sampling distribution is the distinction from prior literature” to: the mean itself is an extension of existing work (citing Stewart 2009, etc.); the substantive distinction is adding the Fisher-projected width and treating the threshold as a distribution-crossing event | Consistent with the introduction’s narrowing; avoids a conclusion stronger than the introduction |
New bib entries (i044_references.bib, entries
):
Stewart2009, Stewart2006,
Kaastra2017, GrossVitells2010.
Cowan_2011 and wilks1938large were already in
the bibliography but never cited; Cowan_2011 enters the
body text from this version.
v30.6 and v30.5 produce identical error counts under the same
xelatex call (both 86), and the error types match
line-by-line, with only line-number shifts from inserted text. That is:
this revision introduced no new LaTeX errors.
bibtex exited normally, with zero undefined references; all
five new references entered the .bbl; the PDF was produced
normally.
Two pre-existing issues (present in v30.5, not addressed here because they exceed the scope of a pure literature revision):
§5.7 references appendix table
tab:app-v15-dense-detx-dety, but that table’s
\label is not in the file (the corresponding dense-grid
table appears to have been deleted in some version), producing one
undefined-reference warning. The table needs to be restored or the
sentence rewritten.
The math environments contain many \begin{aligned}
closed by \end{array} mismatches (21 instances), two
equation*/equation mismatches, and
\DETML not defined in the preamble. These are legacy
MarkdownLaTeX
conversion artifacts; nonstopmode still produces the PDF, but they
should be cleaned up before submission.
| Novelty question | Conclusion | v30.6 action |
|---|---|---|
| Is the conditional mean formula new? | No—Stewart (2009) Eq. (5) is the single-parameter version, same use | Cited, and our three generalizations made explicit |
| Does the Asimov + Fisher method lineage have a source? | Yes—Cowan et al. (2011) | Cited, proactively claiming the lineage |
| Have Cash-statistic moments been computed? | Yes, but in a spectral goodness-of-fit context (Kaastra 2017) | Cited, drawing the context boundary |
| Has the conditional width / threshold-crossing probability been done? | No precedent found | The narrowed novelty claim stands here |
| Is there precedent for the hybrid calibration route? | None found (existing practice is either pure analytic or pure MC) | Original claim maintained |
| Is the position-argmax mechanism isolated? | No—it is the look-elsewhere effect | Cited Gross & Vitells (2010) |
One-sentence summary: v30.6 surrendered one priority claim that was never defensible (the analytic mean) and gained a post-search irrefutable positioning—prior X-ray sensitivity-map work stopped at the mean of the distribution; this paper adds the width, the position-dependent pipeline calibration, and the treatment of threshold selection as a distribution-crossing event.