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Thiago B. Saramela

Publications and source records attributed to Thiago B. Saramela.

3 recordsLinked to original sources

Surface mechanisms governing long-term stability of GEM detectors in CO$_2$-based gaseous mixtures

Understanding the chemical stability of Gas Electron Multipliers (GEMs) operated in CO$_2$-based mixtures is essential for improving detector longevity and reliability. In this work, we investigate the interaction between CO$_2$ molecules and the copper electrodes of GEM foils through near-ambient pressure X-ray photoelectron spectroscopy (NAP-XPS) and complementary Raman mapping. The measurements reveal that CO$_2$ exposure promotes a mild reduction of CuO to Cu$_2$O on untreated surfaces, while sputter-cleaned foils remain metallic and chemically stable. Raman spectroscopy confirms the predominance of Cu$_2$O with spatially heterogeneous contributions from CuO at the micrometer scale, providing structural support for the oxidation-state evolution inferred from XPS. Carbon 1s spectra identify carbonyl (C=O), C-O, carbonate, and hydroxyl species, indicating that oxidized copper sites mediate surface reactions and the formation of oxygenated films. A spectral feature consistent with ionized gas phase CO$_2$ species is observed in the O 1s region, suggesting that a fraction of the gas phase may become ionized in the near-surface region during acquisition. This is relevant for GEM detectors, where CO$_2^{+}$ and other ionized species generated in the avalanche can interact with the copper electrodes. These findings indicate that CO$_2$ acts not only as a quencher but also as a weakly reactive component capable of establishing self-limiting redox equilibria that favor the formation of thin, inorganic oxygenated layers. Such layers are expected to be significantly less prone to charge accumulation than the polymeric or carbonaceous deposits typically formed in hydrocarbon-based mixtures. The results provide experimental insight into the mechanisms underlying GEM stability and contribute to a deeper understanding of aging phenomena in GEM-based systems.

physics.app-ph↗

Evidence for polyimide redeposition and possible correlation with sparks in Gas Electron Multipliers working in CF$_4$ mixtures

Research on aging processes of Gas Electron Multipliers (GEMs) is important to obtain insights on how to increase the detector's longevity, stability, and performance, as highlighted in the latest developments roadmap by the European Council of Future Accelerators (ECFA). One key aspect of the aging process is the deposit formation on the electrodes surfaces. In this work, through the analysis of the molecular content on the surface of a used GEM, we provide evidence for polyimide redeposition as a source of organic material contributing to the formation of insulating layers on the electrodes, which eventually lead to sparks and detector failure. Furthermore, we show that chromium, used to promote adhesion between copper and polyimide, in the device undergoes a diffusion process, effectively blurring the layered structure. We demonstrate the significance of surface-sensitive chemical analysis to investigate the surface deposits on electrodes of gaseous detectors and our results reveal the necessity of standardization and more stringent study protocols.

physics.ins-det↗

Ion beam analysis and big data: How data science can support next-generation instrumentation

With a growing demand for accurate ion beam analysis on a large number of samples, it becomes an issue of how to ensure the quality standards and consistency over hundreds or thousands of samples. In this sense, a virtual assistant that checks the data quality, emitting certificates of quality, is highly desired. Even the processing of a massive number of spectra is a problem regarding the consistency of the analysis. In this work, we report the design and first results of a virtual layer under implementation in our laboratory. It consists of a series of systems running in the cloud that perform the mentioned tasks and serves as a virtual assistant for member staff and users. We aim to bring the concept of the Internet of Things and artificial intelligence closer to the laboratory to support a new generation of instrumentation.

physics.ins-det↗