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arxiv: 2605.13760 · v1 · submitted 2026-05-13 · ⚛️ physics.ins-det · hep-ex

Recognition: unknown

Application of exhaustive simulation flow for advanced performance prediction of monolithic active pixel sensors

A. Bevan, A. Dorokhov, A. Fernandez Prieto, A. Frey, A. Gabrielli, A. Gallas Torreira, A. Himmi, A. Kumar, A. Moggi, A. Taffara, B. Pilsl, B. Schwenker, C. Bespin, C. Finck, C. Hu-Guo, C. Irmler, C. Lacasta, C. Marinas, C. Schwanda, D. Auguste, D. Fougeron, D. Howgill, D. Jeans, D. Xu, E. Riceputi, E. Sacchetti, F. Bernlochner, F. Bosi, F. Forti, F. Morel, G. Bertolone, G. Casarosa, G. Dujany, G. F. Benfratello, G. Rizzo, G. Traversi, H. Kruger, H. Pham, I. Ripp-Baudot, I. Valin, J. Baudot, J. Bonis, J. Dingfelder, J. Gong, J. Mazorra de Cos, J. Serrano, K. Hara, K. R. Nakamura, L. Corona, L. Federici, L. Gaioni, L. Massaccesi, L. Molina-Bueno, L. Ratti, L. Schall, M. Babeluk, M. Barbero, M. Bona, M. Friedl, M. Karagounis, M. Massa, M. Maushart, M. Minuti, M. Rovini, M. Schwickardi, M. Vogt, M. Winter, P. Barrillon, P. Breugnon, P. Pangaud, P. Stavroulakis, R. Boudagga, R. Russo, R. Sefri, S. Bettarini, S. Giroletti, S. Mondal, S. Wang, T. Bergauer, T. Higuchi, T. Kishishita, V. Re, V. Vobbilisetti, W. Song, X. Gao, Y. Buch, Y. Okazaki, Y. Onuki, Y. Peinaud

Authors on Pith no claims yet

Pith reviewed 2026-05-14 17:54 UTC · model grok-4.3

classification ⚛️ physics.ins-det hep-ex
keywords monolithic active pixel sensorssimulation flowAllpix SquaredSPICEtime-of-arrivalirradiation effectsBelle II vertex detectorcharge trapping
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The pith

A simulation flow couples Monte Carlo charge transport to SPICE circuit response for MAPS timing prediction.

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

The paper develops an exhaustive simulation chain for monolithic active pixel sensors that begins with charge generation in the sensitive volume and ends at the digital logic outputs for time-of-arrival and time-over-threshold measurements. It extends conventional TCAD plus Allpix Squared workflows by importing the actual pixel layout to calculate leakage and punch-through currents and by feeding realistic current pulses from the Monte Carlo step into high-precision SPICE models of the front-end electronics. Irradiation damage is modeled on both the charge-collection side through trapping and on the electronics side through altered discharge behavior. The flow is applied to MAPS prototypes for the Belle II vertex detector upgrade and compared directly with data from TJ-Monopix2 chips.

Core claim

We have developed a simulation flow that covers steps from the signal creation in the sensitive volume to the output of the pixel digital logic that performs the time-of-arrival and time-over-threshold measurements. This approach integrates the pixel wells from the layout to precisely describe leakage and punch-through currents and couples Monte Carlo simulations with SPICE to guarantee high-precision simulation of the front-end electronics using realistic signal events, while modeling irradiation from both the charge-propagation and front-end-response sides.

What carries the argument

The exhaustive simulation flow that links Allpix Squared Monte Carlo charge induction to SPICE electrical simulation of the pixel front-end while importing layout-derived wells for current calculations.

If this is right

  • The layout integration step supplies accurate leakage and punch-through currents without separate TCAD runs.
  • Direct coupling of realistic current waveforms into SPICE yields precise ToA and ToT predictions for individual pixels.
  • Irradiation modeling on both charge transport and electronics sides allows performance forecasts after expected Belle II doses.
  • Comparison with TJ-Monopix2 data validates the full chain for timing-critical MAPS applications.

Where Pith is reading between the lines

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

  • The method could shorten design cycles by identifying timing shortfalls before first silicon is fabricated.
  • Extending the same layout-to-SPICE link to other CMOS processes would test whether the approach generalizes beyond the Belle II sensors.
  • Full-chain simulation makes it possible to explore trade-offs between sensor thickness, bias voltage, and front-end power in one consistent framework.

Load-bearing premise

The modeled charge propagation, pixel-layout effects, and front-end response in the coupled simulations match real device behavior under irradiation and varying operating conditions.

What would settle it

A clear mismatch between simulated and measured time-of-arrival or time-over-threshold distributions for irradiated TJ-Monopix2 sensors, beyond uncertainties in the measurement setup, would show the flow does not capture actual performance.

read the original abstract

Monolithic active pixel sensor (MAPS) developments have pushed the detection performance in various directions, especially relative to timing where nanosecond-level precision is now considered. This evolution calls for a simultaneous upgrade of the simulation tools. We have developed a simulation flow that covers steps from the signal creation in the sensitive volume to the output of the pixel digital logic that performs the time-of-arrival and time-over-threshold (ToA/ToT) measurements. This approach adds several new features to the traditional use the of the TCAD - Allpix Squared duo, among which : the integration of the pixel wells from the layout in order to precisely describe the pixel key characteristics such as leakage and punch-through currents and the coupling of Monte Carlo simulations (Allpix Squared) with high precision electrical simulations (SPICE). The first (Allpix Squared) for the precise description of the current induced at the collection electrode and the second (SPICE) to guarantee high precision simulation of the front-end electronics using realistic signal events. Irradiation is also modeled, both from the charge propagation side (charge trapping) and from the front-end response side (high input signal discharge). We have applied this methodology to the MAPS developed in the context of the Belle II vertex detector upgrade. In this contribution, we detail the key features of the exhaustive simulation flow, present the outcome of the comparison with the TJ-Monopix2 measurements and discuss the interest of the methodology for the development of modern MAPS.

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 presents an exhaustive simulation flow for monolithic active pixel sensors (MAPS) that integrates TCAD device simulations, Allpix Squared Monte Carlo modeling of charge creation and propagation (including trapping under irradiation), incorporation of pixel layout details to accurately capture leakage and punch-through currents, and coupling to SPICE for high-fidelity front-end electronics simulation of ToA and ToT responses. The flow is applied to the TJ-Monopix2 sensor for the Belle II vertex detector upgrade, with direct comparisons to experimental measurements.

Significance. If the validation holds, the work provides a more complete predictive framework for MAPS timing performance and radiation hardness than standard TCAD-Allpix Squared approaches, by bridging charge induction to digital output with layout-accurate currents and coupled electrical simulation. This could reduce reliance on iterative prototyping for future MAPS designs requiring nanosecond precision.

major comments (2)
  1. [Results and validation section] The central claim of accurate predictions for irradiated MAPS rests on the TJ-Monopix2 comparison. The manuscript should quantify the agreement with explicit metrics (e.g., RMS residuals or chi-squared values on ToA/ToT distributions) and show dose-dependent timing shifts with uncertainties; without these, it is unclear whether the trapping parameters and Allpix-Squared-to-SPICE interface are predictive or tuned to the same dataset.
  2. [Irradiation modeling subsection] Irradiation modeling is described from both charge-propagation (trapping) and front-end (high-signal discharge) sides, yet the specific trapping time constants, their dose scaling, and the SPICE netlist interface details are not shown to be independently validated; this is load-bearing for the claim that the flow reproduces real-device behavior under irradiation.
minor comments (2)
  1. [Abstract] Abstract contains a typographical error: 'traditional use the of the TCAD' should read 'traditional use of the TCAD'.
  2. [Figures] All comparison figures should include error bars on both simulation and measurement points, plus a clear statement of the number of simulated events per condition.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments and positive assessment of the significance of our simulation flow. We address each major comment below and indicate the changes we will make in the revised manuscript.

read point-by-point responses
  1. Referee: [Results and validation section] The central claim of accurate predictions for irradiated MAPS rests on the TJ-Monopix2 comparison. The manuscript should quantify the agreement with explicit metrics (e.g., RMS residuals or chi-squared values on ToA/ToT distributions) and show dose-dependent timing shifts with uncertainties; without these, it is unclear whether the trapping parameters and Allpix-Squared-to-SPICE interface are predictive or tuned to the same dataset.

    Authors: We agree that quantitative metrics will strengthen the presentation. In the revised manuscript we will add RMS residuals and chi-squared values for the simulated versus measured ToA and ToT distributions. We will also include dose-dependent timing-shift plots with uncertainties derived from the measurement statistics and simulation statistics. These additions will make the level of agreement explicit and help demonstrate the predictive character of the flow. revision: yes

  2. Referee: [Irradiation modeling subsection] Irradiation modeling is described from both charge-propagation (trapping) and front-end (high-signal discharge) sides, yet the specific trapping time constants, their dose scaling, and the SPICE netlist interface details are not shown to be independently validated; this is load-bearing for the claim that the flow reproduces real-device behavior under irradiation.

    Authors: The trapping time constants and dose scaling follow standard literature parametrizations for silicon sensors (e.g., from RD50 and similar studies). In the revised subsection we will explicitly quote the numerical values and the scaling relation used. We will also expand the description of the Allpix-Squared-to-SPICE coupling, including the netlist interface and how current pulses are injected. While the primary validation remains the end-to-end comparison with TJ-Monopix2 data, we acknowledge that separate component-level validation would be desirable; we will clarify the sources of the parameters and note the integrated nature of the test. revision: partial

Circularity Check

0 steps flagged

No significant circularity in integrated simulation methodology

full rationale

The paper presents a simulation workflow chaining TCAD device modeling, Allpix Squared Monte Carlo charge transport (including trapping under irradiation), and SPICE front-end electronics to predict ToA/ToT response in MAPS. Validation is performed by direct comparison to TJ-Monopix2 experimental data. No load-bearing step reduces by construction to its own inputs: there are no self-definitional equations, no parameters fitted to the target dataset then relabeled as predictions, and no uniqueness theorems or ansatzes imported solely via self-citation. The derivation chain remains externally falsifiable against independent measurements and uses established external tools without redefining their outputs in terms of the paper's results.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The simulation flow depends on the validity of the underlying physics and circuit models in the used software tools, which are treated as standard.

axioms (2)
  • domain assumption Standard models in Allpix Squared for charge propagation and trapping
    Relies on the accuracy of these established simulation packages.
  • domain assumption SPICE models accurately represent the front-end electronics response
    Assumes the circuit simulations match real behavior when fed realistic signals.

pith-pipeline@v0.9.0 · 6023 in / 1400 out tokens · 30098 ms · 2026-05-14T17:54:34.457650+00:00 · methodology

discussion (0)

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Reference graph

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12 extracted references · 8 canonical work pages

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