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Long-term calibration and validation of stability of the Auger Engineering Radio Array using the diffuse Galactic radio emission
No full textThe Auger Engineering Radio Array (AERA) measures radio emission from high-energy
extensive air showers. Consisting of 153 autonomous radio-detector stations spread
over 17 sq. km, it detects radio waves in the frequency range of 30 to 80 MHz. Accurate
characterization of the detector response is crucial for proper interpretation of the collected
data. Previously, this was achieved through laboratory measurements of the analog chain
and simulations and measurements of the antenna\u27s directional response. In this paper, we
perform an absolute calibration using the continuously monitored sidereal modulation
of the diffuse Galactic radio emission. Calibration is done by comparing the average
frequency spectra recorded by the stations with predictions from seven different models
of the full radio sky, accounting for the system response, which includes the antenna, filters,
and amplifiers. The analysis of the calibration constants over a period of seven years shows
no relevant and no significant ageing effect in the AERA antennas. This result confirms
the long-term stability of the detector stations and demonstrates the possibility for a radio
detector to effectively monitor ageing effects of other detectors operating over extended periods
Vrste tožbenih zahtevkov in procesni izzivi pri uveljavljanju sodnega varstva poslovnih skrivnosti po ZPosS
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A dynamic biome-specific governance approach that integrates indigenous knowledge and pluriversal thinking
No full textConventional sustainability governance relies on universal, compartmentalized models and often ignores the ecological complexity and Indigenous worldviews. This paper introduces the Dynamic Biome Governance and Knowledge Exchange (DyBiomGov) framework developed for managing rapid socio-ecological changes across global biomes. DyBiomGov integrates a DyBiom- Risk Matrix, which diagnoses cascading climatic and socio-economic risks in eight aggregated biomes, with a governance guide translating these diagnostics into time-bound actions co-developed with Indigenous and local communities. The DyBiom- Risk Matrix assigns ecological and human impacts according to three temporal urgency classes: immediate (0–5 years), medium-term (5–20 years), and long-term (>20 years). This approach recognizes that biomes face synchronous ecological and cultural tipping points within five years, while others experience slower ecological changes but acute short-term pressures on livelihoods. The governance guide links these risk profiles to adaptation pathways such as land tenure reforms, Indigenous fire management, and transboundary water agreements, focusing on mutual knowledge exchange between Indigenous knowledge holders and actors operating within formal scientific and policy frameworks rather than prescriptive blueprints. DyBiomGov methodologically proposes to integrate Indigenous governance principles, remote sensing diagnostics, and peer-reviewed climate projections. Although conceptual, it recommends future operationalization via AI-powered data pipelines sourced from official scientific reports, real-time feedback, and regional observatories. This pluralistic, adaptive framework supports communities, policy makers, and researchers to develop governance aligned with biome-specific changes, facilitate cross-biome learning, and uphold the rights of Indigenous Peoples in environmental decision-making
Data and code used in Figures 1, 2, 3, and 5 of the paper "Detection of disk-jet co-precession in a tidal disruption event"
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