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arxiv: 2607.02106 · v1 · pith:LECC74MBnew · submitted 2026-07-02 · 🌌 astro-ph.IM · physics.ins-det

Development of a cosmic ray detector using CMOS sensors embedded in smartphones and Raspberry Pi devices

Wakiko Takano , Shigeharu Udo , Atsushi Shiomi , Kinya Hibino This is my paper

Pith reviewed 2026-07-03 05:06 UTC · model grok-4.3

classification 🌌 astro-ph.IM physics.ins-det
keywords cosmic raysCMOS sensorssmartphonescitizen scienceparticle detectiongeomagnetic shieldingaltitude dependenceRaspberry Pi
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The pith

Smartphone CMOS sensors detect cosmic ray particles and record their expected flux changes with altitude and latitude.

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

The paper introduces an application that repurposes the cameras already inside smartphones and tablets to record particle events from cosmic rays. It processes the raw sensor data on the device itself to filter noise and identify candidate tracks, then manages the results through cloud storage. Validation flights and separate Raspberry Pi measurements show that the detected rates rise at higher altitudes and vary with geographic latitude in the way geomagnetic shielding predicts. The approach aims to make cosmic ray observation accessible enough for schools and citizen groups to contribute real data.

Core claim

SORAMAME performs on-device calibration, noise filtering, and track-candidate detection on consumer CMOS image sensors to record particle-like events in real time. In-flight validation together with Raspberry Pi-based measurements captured altitude-dependent and latitude-dependent variations in particle flux that match the pattern expected from geomagnetic shielding.

What carries the argument

SORAMAME application that performs on-device extraction, calibration, noise filtering, and track-candidate detection using built-in CMOS image sensors.

If this is right

  • Large numbers of existing internet-connected devices become usable for cosmic ray observation without added hardware.
  • Educational programs can shift into sustained citizen-science data collection at global scale.
  • Cloud aggregation of many low-cost measurements could supplement professional cosmic ray monitoring networks.

Where Pith is reading between the lines

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

  • Dense coverage from everyday phones might reveal fine-scale regional differences in cosmic ray arrival that sparse professional arrays miss.
  • The same on-device filtering approach could be tested on other common sensors to detect additional environmental particles.
  • If the method scales, real-time global flux maps could be generated from user devices during solar events.

Load-bearing premise

The on-device image processing correctly identifies genuine cosmic ray particle tracks rather than noise or unrelated artifacts inside ordinary smartphone cameras.

What would settle it

A side-by-side comparison at the same flight altitudes and latitudes where the smartphone system records no flux increase while a calibrated professional detector does.

read the original abstract

Cosmic rays are ubiquitous; however, their direct observation traditionally demands specialized, high-cost hardware and significant technical expertise, presenting a high barrier for non-specialist environments such as schools and community settings. We present SORAMAME, a smartphone and tablet application that lowers this barrier by repurposing built-in CMOS image sensors as particle detectors. The system enables real-time recording and visualization of particle-like events without additional hardware, integrating on-device extraction - calibration, noise filtering, and track-candidate detection - with cloud-based data management. By simplifying the detection process, SORAMAME facilitates widespread adoption across diverse user groups, fostering an environment where educational outreach can transition into large-scale data collection. This scalability is particularly significant given the unprecedented number of internet-connected consumer devices equipped with silicon CMOS image sensors. Despite the inherent constraints of consumer-grade sensors, our in-flight validation and Raspberry Pi-based measurements successfully captured altitude and latitude-dependent variations in particle flux consistent with geomagnetic shielding. These results suggest that lowering barriers to participation in observation not only serves educational purposes but also has the potential to contribute to future scientific breakthroughs through the development of global citizen science.

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 / 1 minor

Summary. The manuscript presents SORAMAME, a smartphone/tablet application that repurposes consumer CMOS image sensors for cosmic-ray detection via on-device calibration, noise filtering, and track-candidate detection, integrated with cloud data management. It additionally describes Raspberry Pi implementations. The central claim is that in-flight validation and Raspberry Pi measurements successfully captured altitude- and latitude-dependent particle flux variations consistent with geomagnetic shielding.

Significance. If the validation claims hold with quantitative support, the work would meaningfully lower barriers to cosmic-ray observation for education and citizen science, leveraging the ubiquity of CMOS-equipped devices for scalable data collection. The approach itself is a practical contribution to accessible instrumentation in astro-ph.IM.

major comments (2)
  1. [Abstract and validation results] Abstract and the in-flight validation description: the assertion that measurements 'successfully captured altitude and latitude-dependent variations in particle flux consistent with geomagnetic shielding' supplies no quantitative flux values, uncertainties, baseline comparisons, or statistical significance tests. This directly undermines evaluation of whether the on-device pipeline isolates cosmic-ray events.
  2. [Methods (SORAMAME pipeline)] On-device extraction pipeline (calibration, noise filtering, track-candidate detection): no efficiency, purity, or false-positive metrics are reported, nor is there cross-calibration against a reference detector (scintillator/PMT). Consumer CMOS artifacts (hot pixels, temperature-dependent dark current) could produce altitude/latitude correlations unrelated to cosmic rays, making this assumption load-bearing for the central claim.
minor comments (1)
  1. [Figures] Figure captions and text would benefit from explicit scale bars or pixel-to-track conversion factors when showing example events.

Simulated Author's Rebuttal

2 responses · 1 unresolved

We thank the referee for the constructive feedback on our manuscript describing the SORAMAME application and Raspberry Pi implementations for cosmic-ray detection. We address each major comment below, indicating planned revisions where appropriate.

read point-by-point responses

  1. Referee: [Abstract and validation results] Abstract and the in-flight validation description: the assertion that measurements 'successfully captured altitude and latitude-dependent variations in particle flux consistent with geomagnetic shielding' supplies no quantitative flux values, uncertainties, baseline comparisons, or statistical significance tests. This directly undermines evaluation of whether the on-device pipeline isolates cosmic-ray events.

    Authors: We agree that the abstract and validation section would be strengthened by including quantitative details. The full manuscript contains figures and data from in-flight and Raspberry Pi measurements showing the reported variations, but these are not summarized numerically in the abstract. In revision we will update the abstract to report representative flux values (with uncertainties) at different altitudes and latitudes, along with a brief note on the consistency checks performed against expected geomagnetic effects. revision: yes

  2. Referee: [Methods (SORAMAME pipeline)] On-device extraction pipeline (calibration, noise filtering, track-candidate detection): no efficiency, purity, or false-positive metrics are reported, nor is there cross-calibration against a reference detector (scintillator/PMT). Consumer CMOS artifacts (hot pixels, temperature-dependent dark current) could produce altitude/latitude correlations unrelated to cosmic rays, making this assumption load-bearing for the central claim.

    Authors: The manuscript describes the on-device pipeline but does not include quantitative efficiency, purity, or false-positive rates, nor direct cross-calibration with a reference detector. We will revise the methods section to discuss mitigation strategies for common CMOS artifacts (hot pixels, dark current) and to note the absence of formal efficiency metrics as a limitation. The Raspberry Pi tests provide an independent implementation using similar sensors, offering some supporting consistency, but we cannot retroactively supply cross-calibration data that was not collected. revision: partial

standing simulated objections not resolved
  • Quantitative efficiency, purity, and false-positive metrics for the on-device pipeline, as these were not measured or reported in the original study and cannot be added without new experiments.

Circularity Check

0 steps flagged

No circularity; claims rest on direct observational measurements without derivations or fitted parameters.

full rationale

The paper describes an observational system for detecting cosmic rays via consumer CMOS sensors, with claims based on reported in-flight and Raspberry Pi measurements showing altitude/latitude flux variations. No equations, derivations, parameter fits, or mathematical models are presented in the provided text. There are no self-citations invoked as load-bearing premises, no ansatzes, and no renaming of known results. The central claim is empirically grounded in data collection rather than reducing to its own inputs by construction, making the derivation chain self-contained.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract describes an application and observational tests but introduces no mathematical derivations, free parameters, axioms, or new physical entities.

pith-pipeline@v0.9.1-grok · 5742 in / 979 out tokens · 30327 ms · 2026-07-03T05:06:13.315829+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

13 extracted references · 7 canonical work pages · 3 internal anchors

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