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Title: Radiation and Dust Sensor for Mars Environmental Dynamic Analyzer Onboard M2020 Rover
Authors: Apéstigue, V.
Gonzalo, Alejandro
Jiménez, J. J.
Boland, J.
Lemmon, M. T.
De Mingo, J. R.
García Menéndez, Elisa
Rivas, J.
Azcue, J.
Bastide, L.
Andrés Santiuste, N.
Martínez Oter, J.
González Guerrero, M.
Martín Ortega, A.
Toledo, D.
Álvarez Rios, F. J.
Serrano, F.
Martín Vodopivec, B.
Manzano, J.
López Heredero, R.
Carrasco, I.
Aparicio, S.
Carretero, Á.
MacDonald, D. R.
Moore, L. B.
Alcacera Gil, María Ángeles
Fernández Viguri, J. A.
Martín, I.
Yela González, M.
Álvarez, M.
Manzano, P.
Martín, J. A.
Del Hoyo, J. C.
Reina, M.
Urquí, R.
Rodríguez Manfredi, J. A.
De la Torre Juárez, M.
Hernández, C.
Córdoba, E.
Leiter, R.
Thompson, A.
Madsen, S.
Smith, M. D.
Viúdez Moreiras, Daniel
Saix López, A.
Sánchez Lavega, A.
Gómez Martín, L.
Martínez, G. M.
Gómez Elvira, J.
Arruego, I.
Keywords: Mars;Mars 2020;MEDA;RDS;Dust;Clouds;Atmosphere;Ozone
Issue Date: 10-Apr-2022
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22082907
Published version:
Citation: Sensors 22(8): 2907(2022)
Abstract: The Radiation and Dust Sensor is one of six sensors of the Mars Environmental Dynamics Analyzer onboard the Perseverance rover from the Mars 2020 NASA mission. Its primary goal is to characterize the airbone dust in the Mars atmosphere, inferring its concentration, shape and optical properties. Thanks to its geometry, the sensor will be capable of studying dust-lifting processes with a high temporal resolution and high spatial coverage. Thanks to its multiwavelength design, it will characterize the solar spectrum from Mars’ surface. The present work describes the sensor design from the scientific and technical requirements, the qualification processes to demonstrate its endurance on Mars’ surface, the calibration activities to demonstrate its performance, and its validation campaign in a representative Mars analog. As a result of this process, we obtained a very compact sensor, fully digital, with a mass below 1 kg and exceptional power consumption and data budget features.
E-ISSN: 1424-8220
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