Evidence map›Paper›PMID 41917042›Full record

ArticleScientific reports2026

Design of a photonic bolometric sensor using microring resonators for high-energy radiation detection.

Morteza Maleki, Giuseppe Brunetti, Caterina Ciminelli

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Morteza MalekiOptoelectronics Laboratory, Politecnico di Bari, Bari, Italy.
Giuseppe BrunettiOptoelectronics Laboratory, Politecnico di Bari, Bari, Italy.
Caterina CiminelliOptoelectronics Laboratory, Politecnico di Bari, Bari, Italy. caterina.ciminelli@poliba.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring various types of space radiation is critical in space missions, as such radiation cannot be effectively detected from ground-based stations. Picosatellites and CubeSats are increasingly used for space research, including the measurement of gamma radiation from terrestrial gamma-ray flashes and gamma-ray bursts, whereas these platforms are limited in payload capacity. In this paper, we propose and theoretically demonstrate a novel integrable photonic structure for space radiation detection, working based on resonance shifts in micro-ring resonators induced by thermal energy deposition. The device is predicted to detect energy depositions exceeding ~ 50 keV, limited by predicted thermal noise equivalent power (NEPth), with a sensitivity of 1.52 fm/MeV at 100 MeV deposited energy. Using the intensity interrogation method employing a 16-bit analog-to-digital converter, a resolution of 74.7 keV could be achieved. Among various candidate materials evaluated for the absorbing layer, gold was selected due to its high efficiency and compatibility with standard photonic fabrication processes. The proposed sensor can exhibit an absorption efficiency ranging from over 1% to nearly 100% for gamma-ray photons in the 10–270 keV range. The same design can also be adapted for detecting high-energy electrons, and, with suitable modifications in the absorption mechanism, may be extended to other types of space radiation. Integrating such compact and lightweight sensors can significantly enhance the detection capabilities of smart satellites in monitoring diverse radiation sources in space, and theoretical studies of the proposed design demonstrate its potential for future implementation in practical space applications.

Indexed as

Gamma radiationHigh-energy particlesMicro-ring resonatorPhotonic sensorsRadiation sensor

Identifiers

PMID41917042
PMCPMC13181059

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.