The Moons And Jupiter Imaging Spectrometer (MAJIS) is the visible and near-infrared imaging spectrometer onboard the European Space Agency (ESA)’s Jupiter Icy Moons Explorer mission. Before its integration into the spacecraft, the instrument undergoes an extensive ground calibration to establish its baseline performances. This process prepares the imaging spectrometer for flight operations by characterizing the behavior of the instrument under various operative conditions and uncovering instrumental distortions that may depend on instrumental commands. Two steps of the on-ground calibration campaigns were held at the instrument level to produce the data. Additional in-flight measurements have recently been obtained after launch during the Near-Earth Commissioning Phase. In this article, we present the analyses of these datasets, focusing on the characterization of the spectral performances. First, we describe and analyze the spectral calibration datasets obtained using both monochromatic sources and polychromatic sources coupled with solid and gas samples. Then, we derive the spectral sampling and the spectral response function over the entire field of view. These spectral characteristics are quantified for various operational parameters of MAJIS, such as temperature and spectral binning. The derived on-ground performances are then compared with in-flight measurements obtained after launch and presented in the framework of the MAJIS performance requirements.

1.
K.
Stephan
,
T.
Roatsch
,
F.
Tosi
,
K. D.
Matz
,
E.
Kersten
,
R.
Wagner
,
P.
Molyneux
,
P.
Palumbo
,
F.
Poulet
,
H.
Hussmann
et al, “
Regions of interest on Ganymede’s and Callisto’s surfaces as potential targets for ESA’s JUICE mission
,”
Planet. Space Sci.
208
,
105324
(
2021
).
2.
O.
Grasset
,
M. K.
Dougherty
,
A.
Coustenis
,
E. J.
Bunce
,
C.
Erd
,
D.
Titov
,
M.
Blanc
,
A.
Coates
,
P.
Drossart
,
L. N.
Fletcher
et al, “
JUpiter ICy moons Explorer (JUICE): An ESA mission to orbit Ganymede and to characterise the Jupiter system
,”
Planet. Space Sci.
78
,
1
21
(
2013
).
3.
O.
Witasse
,
N.
Altobelli
,
S.
Barabash
,
L.
Bruzzone
,
M. K.
Dougherty
,
C.
Erd
,
L. N.
Fletcher
,
R.
Gladstone
,
O.
Grasset
,
L.
Gurvits
et al, in
European Planetary Science Congress
(
Elsevier
,
2015
), p.
564
.
4.
F.
Poulet
,
G.
Piccioni
,
Y.
Langevin
,
C.
Dumesnil
,
L.
Tommasi
,
V.
Carlier
,
G.
Filacchione
et al, “
Moons And Jupiter Imaging Spectrometer (MAJIS) on Jupiter Icy Moons Explorer (JUICE)
,”
Space Sci. Rev.
(submitted) (
2023
).
5.
M.
Vincendon
,
P.
Guiot
,
B.
Lecomte
,
M.
Condamin
,
F.
Poulet
,
A.
Arondel
,
J.
Barbay
,
J.
Carter
,
S.
DeAngelis
,
C.
Dumesnil
,
G.
Filacchione
,
P.
Haffoud
,
J.
Hansotte
,
Y.
Langevin
,
G.
Piccioni
,
C.
Pilorget
,
E.
Quirico
, and
S.
Rodriguez
, “
Calibration of MAJIS (Moons And Jupiter Imaging Spectrometer): I. Setup description and conducted measurements
,”
Rev. Sci. Instrum.
(unpublished) (
2023
).
6.
F.
Altieri
,
G.
Filacchione
,
F.
Capaccioni
,
C.
Carli
,
M.
Dami
,
L.
Tommasi
,
G.
Aroldi
,
D.
Borrelli
,
A.
Barbis
,
M.
Baroni
,
G.
Pastorini
,
I.
Ficai Veltroni
, and
R.
Mugnuolo
,
Rev. Sci. Instrum.
88
,
094503
(
2017
).
7.
G.
Bellucci
,
F.
Altieri
,
J. P.
Bibring
,
G.
Bonello
,
Y.
Langevin
,
B.
Gondet
, and
F.
Poulet
,
Planet. Space Sci.
54
,
675
(
2006
).
8.
F.
Capaccioni
,
M. C.
DeSanctis
,
G.
Filacchione
,
G.
Piccioni
,
E.
Ammannito
,
L.
Tommasi
,
I.
Ficai Veltroni
,
M.
Cosi
,
S.
Debei
,
L.
Calamai
, and
E.
Flamini
, “
VIS-NIR imaging spectroscopy of Mercury’s surface: SIMBIO-SYS/VIHI experiment onboard the BepiColombo mission
,”
IEEE Trans. Geosci. Remote Sens.
48
(
11
),
3932
3940
(
2010
).
9.
A.
Adriani
,
G.
Filacchione
,
T.
Di Iorio
,
D.
Turrini
,
R.
Noschese
,
A.
Cicchetti
,
D.
Grassi
,
A.
Mura
,
G.
Sindoni
,
M.
Zambelli
et al, “
JIRAM, the Jovian infrared auroral mapper
,”
Space Sci. Rev.
213
,
393
446
(
2017
).
10.
G.
Filacchione
,
G.
Piccioni
,
L.
Tommasi
,
A.
Barbis
,
F.
Poulet
,
Y.
Langevin
,
P.
Haffoud
,
S.
DeAngelis
,
C.
Dumesnil
,
S.
Stefani
, and
F.
Tosi
, “
Calibration of MAJIS (Moons And Jupiter Imaging Spectrometer): IV. Spatial calibration
,”
Rev. Sci. Instrum.
(unpublished) (
2023
).
11.
Y.
Langevin
et al, “
Calibration of MAJIS (Moons And Jupiter Imaging Spectrometer): II. Radiometric calibration
,”
Rev. Sci. Instrum.
(unpublished) (
2023
).
12.
A.
Barbis
,
M.
Barilli
,
A.
Bini
,
M.
Dami
,
E.
Fossati
,
G.
Pilato
,
L.
Tommasi
,
G.
Filacchione
,
S.
De Angelis
,
G.
Piccioni
et al,
Proc. SPIE
12180
121800G
(
2022
).
13.
F.
Poulet
,
J.
Rodriguez-Ferreira
,
A.
Arondel
,
K.
Dassas
,
P.
Eng
,
P.
Lami
,
Y.
Langevin
,
Y.
Longval
,
P.
Pradel
, and
M.
Dami
, “
The pre-flight calibration setup of the instrument SIMBIO-SYS onboard the mission BepiColombo
,”
Planet. Space Sci.
117
,
82
95
(
2015
).
14.
G.
Piccioni
,
L.
Tommasi
,
Y.
Langevin
,
G.
Filacchione
,
F.
Tosi
,
D.
Grassi
,
F.
Poulet
,
C.
Dumesnil
,
C. R.
Degalarreta
,
A.
Bini
et al, in
2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
(
IEEE
,
2019
), pp.
318
323
.
15.
I. E.
Gordon
,
L. S.
Rothman
,
R. J.
Hargreaves
,
R.
Hashemi
,
E. V.
Karlovets
,
F. M.
Skinner
,
E. K.
Conway
,
C.
Hill
,
R. V.
Kochanov
,
Y.
Tan
et al, “
The HITRAN2020 molecular spectroscopic database
,”
J. Quant. Spectrosc. Radiat. Transfer
277
,
107949
(
2022
).
16.
S.
Stefania
et al, “
Calibration of MAJIS (Moons And Jupiter Imaging Spectrometer): VI. ICU
,”
Rev. Sci. Instrum.
(unpublished) (
2023
).
17.
S.
Rodriguez
et al, “
Calibration of MAJIS (Moons And Jupiter Imaging Spectrometer): V. Samples
,”
Rev. Sci. Instrum.
(unpublished) (
2023
).
18.
L.
Riu
,
J. P.
Bibring
,
C.
Pilorget
,
F.
Poulet
, and 
V.
Hamm
, “
The on-ground calibration performances of the hyperspectral microscope MicrOmega for the Hayabusa-2 mission
,”
Planet. Space Sci.
152
,
31
44
(
2018
).
19.
P.
Haffoud
,
A.
Arondel
,
V.
Carlier
,
J.
Carter
,
J. P.
Dubois
,
C.
Dumesnil
,
G.
Filacchione
, and
L.
Gonnod
,
Proc. SPIE
 
12180
1218039
(
2022
).
20.
J.
Carter
,
P.
Haffoud
,
Y.
Langevin
,
C.
Ketchazo
,
P.
Guiot
,
C.
Dumesnil
,
C. R.
de Galarreta Fanjul
,
A.
Arondel
, and
V.
Carlier
,
Proc. SPIE
12180
,
1218038
(
2022
).
21.
R.
Battiti
,
F.
Masulli
, International Neural Network Society (INNS), and  The IEEE Neural Network Council Cooperating Societies, in
International Neural Network Conference: July 9—13, 1990 Palais Des Congres—Paris—France
(
Springer
,
1990
), pp.
757
760
.
You do not currently have access to this content.