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Model Update and Surface Operation Performance of the MEDA-TIRS Radiometer Onboard NASA’s Mars 2020 Perseverance Rover
(Springer Nature, 2025-07-14) Sebastián Martínez, Eduardo; Martínez, Germán M.; Smith, Michael; Peinado, V.; Mora Sotomayor, L.; Vicente Retortillo, Álvaro; Rodríguez Manfredi, J. A.; Ministerio de Economía y Competitividad (MINECO); Ministerio de Ciencia e Innovación (MICINN); Agencia Estatal de Investigación (AEI); National Aeronautics and Space Administration (NASA); Instituto Nacional de Técnica Aeroespacial (España); Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737
We describe new updates in the data retrieval process of the Mars Environmental Dynamics Analyzer Thermal-InfraRed Sensor (MEDA-TIRS) onboard NASA’s Mars 2020 Perseverance rover and analyze its performance under these new updates for the first 700 sols of this mission. The primary goal of these updates is to reduce the uncertainty in each of the quantities measured by TIRS, thereby improving its performance in measuring atmospheric and ground temperature, reflected shortwave solar radiation, and the upwelling and downwelling longwave irradiances across the entire spectrum. Our updates include results from new modeling efforts and tests conducted during the cruise and operational phase on Mars to characterize the electronic conditioning system and to calculate new noise and offset values. Based on the annual degradation rates of the TIRS channel detectors due to dust deposition, we compare projected values of resolution and accuracy to pre-flight requirements. These projections are useful for estimating the radiometer’s lifetime and for using its data in the context of the future Mars Sample Return and other future mission.
Strong parameter hierarchy in the interstellar phosphorus chemical network
(Frontiers in Bioscience Publications, 2025-07-30) Marina, Fernández-Ruz; Jiménez-Serra, Izaskun; Castro, Mario; Ruiz-Bermejo, Marta; Aguirre, Jacobo; European Research Council (ERC); Ministerio de Ciencia e Innovación (MICINN); Consejo Superior de Investigaciones Científicas (CSIC)
Phosphorus-bearing molecules are fundamental for life on Earth, yet their astrochemical origins remain poorly understood. Their formation in the interstellar medium has been challenging to elucidate due to limited spectroscopic detections and the reliance on theoretical models that depend on numerous kinetic parameters whose values are very uncertain. Multi-parameter models often suffer from “sloppiness”, where many parameter combinations exhibit negligible influence on model outcomes, while a few dominate system behavior. In this study, we introduce the Fisher Information Spectral Reduction (FISR) algorithm, a novel and computationally efficient method to reduce the complexity of such sloppy models. Our approach exposes the strong parameter hierarchy governing these systems by identifying and eliminating parameters associated with insensitive directions in the parameter space. Applying this methodology to the phosphorus astrochemistry network, we reduce the number of reaction rate coefficients from 14 to 3, pinpointing the key reactions and kinetic parameters responsible for forming PO and PN, the main phosphorus-bearing molecules typically detected in interstellar space. The simplified model retains its predictive accuracy, offering deeper insights into the mechanisms driving phosphorus chemistry in the interstellar medium. This methodology is applicable to multi-parameter models of any kind and, specifically in astrochemistry, facilitates the development of simpler, more realistic and interpretable models to effectively guide targeted observational efforts.
