Calibration of a Dust Scattering Instrument Using Tomographic Techniques and Its Application to a Dust Sensor Instrument.

Martian dust angular weighting function nephelometer radon transform scattering of particles scattering sensor tomography

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 May 2023
Historique:
received: 31 03 2023
revised: 19 05 2023
accepted: 21 05 2023
medline: 12 6 2023
pubmed: 10 6 2023
entrez: 10 6 2023
Statut: epublish

Résumé

The characterization of suspended dust near the Martian surface is extremely relevant to understand the climate of Mars. In this frame, a Dust Sensor instrument, an infrared device designed to obtain the effective parameters of Martian dust using the scattering properties of the dust particles, was developed. The purpose of this article is to present a novel methodology to calculate, from experimental data, an instrumental function of the Dust Sensor that allows solving the direct problem and providing the signal that this instrument would provide given a distribution of particles. The experimental method is based on recording the signal measured when a Lambertian reflector is gradually introduced into the interaction volume at different distances from the detector and source and applying tomography techniques (inverse Radon transform) to obtain the image of a section of the interaction volume. This method provides a complete mapping of the interaction volume experimentally, which determines the Wf function. The method was applied to solve a specific case study. Among the advantages of this method, it should be noted that it avoids assumptions and idealizations of the dimensions of the volume of interaction and reduces the time required to carry out simulations.

Identifiants

pubmed: 37299764
pii: s23115036
doi: 10.3390/s23115036
pmc: PMC10255881
pii:
doi:

Substances chimiques

Dust 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : FEDER/Ministerio de Ciencia, Innovación y Universidades Agencia Estatal de Investigación
ID : RTI2018-099825-B-C33
Organisme : Madrid Government
ID : EPUC3M14

Références

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Auteurs

David Santalices (D)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
Science Faculty, Universidad Nacional de Educación a Distancia (UNED), 28040 Madrid, Spain.

Mateo Martínez-García (M)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

Jesús Belmar (J)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

Daniel Benito (D)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

Susana Briz (S)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

Juan Meléndez (J)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

Antonio J de Castro (AJ)

LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

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Classifications MeSH