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
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
Appl Opt. 2010 Oct 1;49(28):5415-36
pubmed: 20885480
Appl Opt. 2021 Oct 1;60(28):8676-8687
pubmed: 34613093
Sensors (Basel). 2022 Jul 21;22(14):
pubmed: 35891137
Sensors (Basel). 2022 Nov 27;22(23):
pubmed: 36501918
Appl Opt. 1997 Aug 20;36(24):6057-67
pubmed: 18259450
J Geophys Res. 1997 Apr 25;102(E4):9039-50
pubmed: 11541455
Opt Express. 2007 Jun 11;15(12):7522-7
pubmed: 19547076