Silicon Photomultiplier for Medical Imaging -Analysis of SiPM characteristics-

Adam Para; Andrii Nagai; Nicoleta Dinu-Jaeger

arxiv: 1907.03926 · v1 · pith:AZYTAMALnew · submitted 2019-07-09 · ⚛️ physics.ins-det

Silicon Photomultiplier for Medical Imaging -Analysis of SiPM characteristics-

Andrii Nagai , Nicoleta Dinu-Jaeger , Adam Para This is my paper

Pith reviewed 2026-05-25 00:25 UTC · model grok-4.3

classification ⚛️ physics.ins-det

keywords silicon photomultiplierSiPMwaveform analysisgainbreakdown voltagepulse shapeROOT frameworkmedical imaging

0 comments

The pith

An automatic ROOT-based procedure calculates SiPM charge distribution, gain, breakdown voltage, pulse shape and overvoltage from oscilloscope waveforms.

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

The paper presents an automatic analysis procedure implemented in the ROOT data analysis framework for processing oscilloscope waveforms from Silicon Photomultipliers acquired at different temperatures and bias voltages. This method extracts charge distribution, gain, breakdown voltage, rise time, recovery time and overvoltage without manual intervention or post-processing corrections. The procedure applies to any type of SiPM detector. A sympathetic reader would care because these parameters determine detector performance in applications such as medical imaging, where consistent and efficient characterization supports reliable device operation.

Core claim

The central claim is that an automatic procedure based on the ROOT framework can analyze experimental SiPM waveforms taken at varying temperatures and bias voltages to compute charge distribution, gain, breakdown voltage, pulse shape parameters including rise and recovery times, and overvoltage, and that this procedure works for any SiPM type.

What carries the argument

The ROOT-implemented automatic waveform analysis procedure that processes experimental pulses to derive the listed SiPM parameters.

If this is right

Charge distribution can be obtained directly from the processed waveforms.
Gain and breakdown voltage follow from the automatic analysis at multiple bias points.
Pulse rise time and recovery time are extracted as part of the pulse shape characterization.
Overvoltage is determined across the tested temperature and bias range.
The same procedure applies without change to any SiPM detector type.

Where Pith is reading between the lines

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

The automation could shorten the time required to qualify SiPMs during production for imaging systems.
The method could be combined with temperature-controlled test stands to map performance surfaces more completely.
Similar waveform-processing logic might be adapted to characterize other single-photon sensitive detectors.
Integration into online data acquisition could enable continuous monitoring of SiPM stability during operation.

Load-bearing premise

The experimental waveforms acquired at different temperatures and bias voltages contain sufficient clean information for the automatic calculations to accurately recover the listed SiPM parameters without post-processing corrections or manual intervention.

What would settle it

Running the procedure on a set of SiPM waveforms and finding that the computed gain or breakdown voltage differs from the values obtained by independent manual analysis on the identical dataset would show the automatic recovery is not accurate.

read the original abstract

This paper proposes an automatic procedure, based on ROOT data Analysis Framework, for the analysis of Silicon Photomultipliers (SiPM) characteristics. In particular, it can be used to analyze experimental waveforms, from oscilloscope, containing SiPM pulses acquired at different temperatures and bias voltages. Important SiPMs characteristics such as: charge distribution, gain, breakdown voltage, pulse shape (rise time and recovery time) and overvoltage can been calculated. Developed procedure can be easily used to analyze any type of SiPM detectors.

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

ROOT script for SiPM waveform analysis describes steps but skips validation against manual results or known values.

read the letter

The paper describes a ROOT-based automatic procedure that takes oscilloscope waveforms from SiPMs at different temperatures and bias voltages and computes charge distribution, gain, breakdown voltage, rise and recovery times, and overvoltage. It presents this as a general tool that works for any SiPM type without extra tuning. That is the core offering: a concrete set of analysis steps implemented in a framework many detector groups already use. For labs doing routine characterization in medical imaging, having the integration windows, peak logic, and fitting laid out in code can save setup time if the script runs cleanly on their data. The description of how the quantities are derived from the raw pulses is direct and practical. The soft spot is the complete absence of checks on whether the automatic outputs match what a person gets by hand or against independent references. No side-by-side plots, no error metrics, no failure rates across the temperature-bias grid, and no tests on more than one SiPM model appear in the work. The claim that the procedure recovers the parameters accurately without post-processing therefore rests on an untested assumption about waveform quality and algorithm robustness. That gap is central rather than minor because the whole point is reliable automation. This is the kind of convenience code that experimentalists might download and adapt, but it does not advance understanding of SiPM physics or provide a verified standard. I would bring it to a reading group only if the group is focused on detector software tools and wants to see the implementation details. I would not cite it. A serious editor should desk-reject rather than send to referees, because the reliability claim that would make it useful is not supported by the evidence given. Adding quantitative validation on multiple detectors would change that assessment.

Referee Report

2 major / 2 minor

Summary. The manuscript presents an automatic analysis procedure implemented in the ROOT framework to process oscilloscope waveforms from SiPM detectors acquired at varying temperatures and bias voltages. It claims to extract charge distributions, gain, breakdown voltage, pulse shape parameters (rise and recovery times), and overvoltage, asserting that the method applies readily to any SiPM type.

Significance. An automated, validated procedure for SiPM characterization would be useful for standardizing measurements in medical imaging applications and reducing manual effort. The manuscript's description of algorithm steps is a starting point, but the absence of any quantitative validation against reference values or manual analysis means the claimed reliability and generality cannot yet be assessed.

major comments (2)

[Abstract and procedure description] Abstract and procedure description: the central claim that the procedure 'calculates' charge distribution, gain, breakdown voltage, pulse shape, and overvoltage from raw waveforms is unsupported by any reported comparison of automatic outputs to manual extraction or known standards on the same data set; no error metrics or agreement statistics are supplied.
[Results and validation sections] Results and validation sections: no quantitative assessment (e.g., RMS difference, failure rate across the T/Vbias grid, or cross-check with independent methods) is provided to confirm that peak finding, integration windows, and threshold logic succeed without manual tuning, which is required to support the 'easily used for any type of SiPM' assertion.

minor comments (2)

[Abstract] Abstract: 'can been calculated' is a grammatical error.
[Procedure description] The manuscript would benefit from inclusion of the actual ROOT macro or clear pseudocode for the analysis steps to enable reproducibility.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments. We agree that quantitative validation against manual analysis and known standards is necessary to substantiate the claims of reliability and applicability to any SiPM type. We address each major comment below and will revise the manuscript accordingly.

read point-by-point responses

Referee: [Abstract and procedure description] Abstract and procedure description: the central claim that the procedure 'calculates' charge distribution, gain, breakdown voltage, pulse shape, and overvoltage from raw waveforms is unsupported by any reported comparison of automatic outputs to manual extraction or known standards on the same data set; no error metrics or agreement statistics are supplied.

Authors: We accept the point. The manuscript describes the algorithm steps and presents example results but does not include direct comparisons or error metrics. In the revised manuscript we will add a dedicated validation subsection that reports RMS differences, agreement statistics, and manual cross-checks for gain, breakdown voltage, and pulse-shape parameters on the same waveform datasets. revision: yes
Referee: [Results and validation sections] Results and validation sections: no quantitative assessment (e.g., RMS difference, failure rate across the T/Vbias grid, or cross-check with independent methods) is provided to confirm that peak finding, integration windows, and threshold logic succeed without manual tuning, which is required to support the 'easily used for any type of SiPM' assertion.

Authors: We agree that the generality claim requires supporting quantitative evidence. The revised version will include failure-rate statistics across the temperature/bias grid, RMS metrics for peak-finding and integration accuracy, and at least one cross-check with an independent analysis method. We will also clarify the limited manual tuning that was used during development. revision: yes

Circularity Check

0 steps flagged

No circularity: procedure is a data-analysis script with no self-referential equations or predictions

full rationale

The manuscript describes an automatic ROOT-based workflow that ingests oscilloscope waveforms, performs peak finding and integration, and outputs empirical quantities (charge spectra, gain, breakdown voltage, rise/recovery times). No equations are presented that derive one measured parameter from another by construction, no fitted inputs are relabeled as predictions, and no self-citations are invoked to justify uniqueness or ansatz choices. The central claim is simply that the script runs on the acquired data; whether the script is robust is a correctness question, not a circularity question. The derivation chain is therefore self-contained and non-circular.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract supplies no equations, parameters, or modeling assumptions; therefore the ledger is empty.

pith-pipeline@v0.9.0 · 5613 in / 1022 out tokens · 21910 ms · 2026-05-25T00:25:01.934915+00:00 · methodology

discussion (0)

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

IndisputableMonolith/Foundation/AbsoluteFloorClosure.lean reality_from_one_distinction unclear

?

unclear
Relation between the paper passage and the cited Recognition theorem.

automatic procedure... charge distribution, gain, breakdown voltage, pulse shape (rise time and recovery time) and overvoltage
IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear

?

unclear
Relation between the paper passage and the cited Recognition theorem.

template creation... pulse finding procedure... template subtraction... pulse characteristics

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extends: The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses: The paper appears to rely on the theorem as machinery.
contradicts: The paper's claim conflicts with a theorem or certificate in the canon.
unclear: Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.