GIGeoscientific Instrumentation, Methods and Data SystemsGIGeosci. Instrum. Method. Data Syst.2193-0864Copernicus PublicationsGöttingen, Germany10.5194/gi-5-205-2016MAHLI on Mars: lessons learned operating a geoscience camera on a landed
payload robotic armYingstR. Aileenyingst@psi.eduEdgettKenneth S.https://orcid.org/0000-0001-7197-5751KennedyMegan R.KrezoskiGillian M.McBrideMarie J.MinittiMichelle E.RavineMichael A.WilliamsRebecca M. E.Planetary Science Institute, Tucson, Arizona, USAMalin Space Science Systems, San Diego, California, USAnow at: Purdue University, West Lafayette, Indiana, USAR. Aileen Yingst (yingst@psi.edu)10June20165120521718December201510March201612May201622May2016This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/This article is available from https://gi.copernicus.org/articles/5/205/2016/gi-5-205-2016.htmlThe full text article is available as a PDF file from https://gi.copernicus.org/articles/5/205/2016/gi-5-205-2016.pdf
The Mars Hand Lens Imager (MAHLI) is a 2-megapixel, color camera with
resolution as high as 13.9 µm pixel-1. MAHLI has operated
successfully on the Martian surface for over 1150 Martian days (sols) aboard
the Mars Science Laboratory (MSL) rover, Curiosity. During that time MAHLI
acquired images to support science and science-enabling activities, including
rock and outcrop textural analysis; sand characterization to further the
understanding of global sand properties and processes; support of other
instrument observations; sample extraction site documentation; range-finding
for arm and instrument placement; rover hardware and instrument monitoring
and safety; terrain assessment; landscape geomorphology; and support of rover
robotic arm commissioning. Operation of the instrument has demonstrated that
imaging fully illuminated, dust-free targets yields the best results, with
complementary information obtained from shadowed images. The
light-emitting diodes (LEDs) allow satisfactory night imaging but do not
improve daytime shadowed imaging. MAHLI's combination of fine-scale,
science-driven resolution, RGB color, the ability to focus over a large range
of distances, and relatively large field of view (FOV), have maximized the
return of science and science-enabling observations given the MSL mission
architecture and constraints.
Introduction
Operating more than 1150 sols on the Martian surface, the Mars Hand Lens
Imager (MAHLI), aboard the Mars Science Laboratory (MSL) Curiosity rover, has
been used by the MSL Science Team to interrogate geologic targets at the
millimeter to sub-millimeter scale (individual grains and grain
relationships). The goal of the MAHLI science investigation is to identify
and interpret lithologic and textural clues that reveal processes responsible
for forming and modifying the geologic record at the rover's field site in
Gale crater (Edgett et al., 2012). We present here a brief overview of the
MAHLI investigation activities and results from the first 1150 sols, and the
key lessons learned in operating this instrument.
MAHLI camera head with dust cover open, as seen on Mars by
Curiosity's left mast camera (Mastcam-34) on sol 84, 31 October 2012
(portion of image 0084ML0003740000102846E01).
Instrument
MAHLI is a 2-megapixel, color camera with a macro lens that is able to focus
on targets at working distances from 2.1 cm to infinity (Edgett et al.,
2012; working distance is measured from the camera lens to the target). The
camera head is mounted on a rotatable turret at the end of Curiosity's
robotic arm (Fig. 1; Anderson et al., 2012). The arm positions the camera,
allowing MAHLI to image targets from a wide variety of perspectives both
around and on the rover. Two contact sensor probes extend 1.9 cm from the
front lens element to prevent the lens from contacting the surface (Anderson
et al., 2012). MAHLI was designed to provide data salient to understanding
the stratigraphy, grain-scale texture, structure, mineralogy, and morphology
of geologic targets.
Textures imaged by MAHLI mimic those resolvable by a geologist's hand lens.
When contrasting with surrounding materials, at its highest resolution
(14–18 µm pixel-1), MAHLI can resolve individual grains down
to coarse silt size (Edgett et al., 2015). More typically for Mars, where
differences between materials are more subtle, MAHLI images can permit
distinction of very fine sand from silt (silt grain sizes as defined by
Wentworth, 1922, > 62.5 µm diameter) from unresolvable
coarse silt-sized or smaller. This is particularly important to the MSL goal
of detecting environments that may once have been habitable (Grotzinger et
al., 2012), as mudstone is a great preserver of biosignatures (e.g., Summons
et al., 2011).
The instrument also includes four white light and two ultraviolet (365 nm)
light-emitting diodes (LEDs) to illuminate targets when warranted. White light LED pairs can be
commanded together or separately so targets can be illuminated from multiple
directions. MAHLI onboard data processing includes a focus merge (z-stacking)
capability and lossless and lossy data compression options. Comprehensive
details on the design and operation of MAHLI are in Edgett et al. (2015).
Summary of MAHLI activities
During its Primary Mission (August 2012–September 2014), Curiosity operated
on Aeolis Palus, a lowland in northern Gale between the crater's north wall
and a 5 km high mountain of stratified rock, Aeolis Mons (known informally
as Mt. Sharp). Since September 2014, the rover team has been investigating
rocks exposed on the lowermost northern flank of Aeolis Mons. The area
explored consists largely of thinly mantled to bare outcrops of wind-eroded
clastic sedimentary rock. Many of these were mafic fluvial sandstones and
conglomerates, while others were siltstones and mudstones (Williams et al.,
2013; Grotzinger et al., 2013, 2015). Eolian bedforms, usually of centimeters to
decimeters height, were also encountered. Examples of images of geologic
targets acquired by MAHLI, over a range of scales, are shown in Figs. 2–5.
Typical MAHLI images of rock, regolith, and eolian targets included color
images, focus stacks, and stereo pairs. The first science-driven imaging
sequence on a rock target was designed to provide context for
higher-resolution images (100 µm pixel-1), data at scales
comparable to the Mars Exploration Rovers (MER) Microscopic Imagers (MI;
31 µm pixel-1), and highest-resolution images
(16–22 µm pixel-1). Each of these resolutions required a
different position of the robotic arm (stand-off distance). An additional
image at 31 µm pixel-1 (5 cm distance) was also acquired at
a slight offset from the first to provide stereo; this resolution was chosen
for stereo pairs because it was close enough to resolve microtexture, but far
enough away to be considered less risky to attempt – in terms of hardware
collision with geologic material – than a closest approach (and thus best
resolution) would be. Because every imaging sequence must be vetted multiple
times, each change in an imaging sequence adds complexity and thus
significant time to the planning cycle. As a result, this grouping of three
resolutions quickly became the typical observational sequence used when
acquiring images of science targets. These image stand-off distances were
chosen early in the mission, but their usefulness has led to their being
retained largely unchanged up to the present time. This “standard” sequence
(without the extra stereo image) is shown in Fig. 3.
MAHLI is designed to be able to provide a combination of a
relatively large field of view (ideal for mosaics, landscape views, and
hardware inspection) and high spatial resolution (for geologic
investigation), allowing the camera to be used to acquire images that
connect grain-scale views to landscape- and regional-scale views.
(a) Mars Reconnaissance Orbiter (MRO) High Resolution Imaging
Experiment (HiRISE) orbiter camera view of Curiosity's Yellowknife Bay field
site, with the Gillespie Lake outcrop and John Klein sample extraction
(drill hole) sites indicated. Illuminated by sunlight from the lower left,
this is a portion of HiRISE image ESP_030313_1755; it shows the rover
position on sol 156 (13 January 2013). (b) Mosaic of MAHLI
images acquired on sols 177 (3 February 2013) and 270
(10 May 2013) showing locations of the Gillespie Lake outcrop and John Klein
drill hole with the Curiosity rover for scale; this view is illuminated by
sunlight from the left. (c) Oblique close-up view of the John Klein
sample extraction hole that was drilled into light gray Sheepbed mudstone on
sol 182 (9 February 2013). This view shows mineralized veins (white) and a
vertical row of spots created by Curiosity's ChemCam laser. The hole
diameter is 16 mm and sunlight illuminated the scene from the upper right;
this is a portion of a focal plane merge product created on Earth after
radiometric calibration of eight consecutively acquired sol 270 (10 May
2013) MAHLI images, 0270MH0002540050102792C00 through
0270MH0002540050102799C00. (d) Close-up view of the Gillespie Lake
sandstone. Illuminated by sunlight from the upper left, this is a portion of
MAHLI focus merge product 0132MH0001630000101282R00 created onboard the
instrument from eight images acquired on sol 132 (19 December 2012).
Sheepbed mudstone target, Wernecke, and example of nested MAHLI
image acquisitions of increasing spatial resolution. (a) The three
MAHLI images were acquired on sol 169 (26 January 2013) at working distances
of 25, 5, and 1 cm (indicated), yielding images at ∼ 100,
∼ 31, and ∼ 17 µm per pixel,
respectively. This is a composite of image 0169MH0002050010102201C00 and
focus merge products 0169MH0001630000102236R00 and 0169MH0001630000102232R00.
(b) View of Wernecke from 1 cm standoff
(16.6 µm pixel-1) in focus merge product
0169MH0001630000102232R00. Arrows inside circular inset point to dark gray
grains in the rock. Because of their contrast relative to the bulk, lighter
gray matrix, the darker grains provide a constraint on the mudstone particle
size; they can be no larger than ∼ 34 µm and no
smaller than ∼ 17 µm.
Mosaic of MAHLI focus merge products – composed of images acquired
on sol 802 (8 November 2014) – covering a surface cut by scuffing
Curiosity's right front wheel into an eolian bedform on sol 799 (5 November
2014). Illuminated by the Sun from the top/left (thus the wheel scuff wall is
in shadow), this is a composite of focus merge products
0802MH0004400000300440R00, 0802MH0004400000300442R00,
0802MH0004400000300444R00, 0802MH0004400000300446R00,
0802MH0004400000300448R00, 0802MH0004400000300450R00,
0802MH0004400000300452R00, and 0802MH0004400000300456R00.
MAHLI image mosaic documenting the planning effort for placement of
drill hardware, acquired on sol 1057 (28 July 2015) in preparation for
drilling the rover team's Buckskin drill target. Such imaging for drill
activity planning is commonly acquired at 35 cm distance for accurate
placement of the drill stabilizers and drill, and for confirmation that drill
activities were executed nominally and results were as expected. In this
diagram, LIBS Damage refers to surfaces
destructively investigated using the rover's ChemCam Laser-Induced Breakdown
Spectrometer; DRT refers to a spot swept clean of dust by the rover's Dust
Removal Tool; Blind_Gultch and Buckskin are names assigned by the team to
the geologic targets investigated. Illuminated by sunlight from the top, this
is a composite of images 1057MH0004240010400357C00 and
1057MH0004240010400359C00.
The images and other vital science and science-enabling observations enabled
by the field of view and focus of the camera include
grain-scale rock textural analysis (e.g., grain size, shape, rounding,
voids) that contributed to interpretations of rock type, facies, and
diagenetic conditions (e.g., Grotzinger et al., 2013, 2015; Stack et al.,
2014) (Figs. 2–3);
examination of eolian sand deposits, which informed a global
understanding of fundamental properties and processes of eolian transport and
bedform stabilization when compared to similar features at other Mars rover
sites (e.g., Minitti et al., 2013; Sullivan et al., 2014; Fig. 4);
images for the robotic arm engineers to make lateral adjustments, based
on a contextual-resolution MAHLI image acquired on a prior sol (Minitti et
al., 2013), and quantitative measurements to support placement of the rover's
Alpha-Proton X-ray Spectrometer (APXS), drill and scoop (Fig. 5; Robinson
et al., 2013);
sample extraction site documentation, including rover self-portraits to
provide context (Fig. 2);
imaging of rover wheels to assess and monitor damage (Fig. 6), as
routine imaging of the wheels relatively early in the mission revealed a much
larger number of damage points than had been previously seen over a similar
distance (Vasavada et al., 2014; Yingst et al., 2014);
consistent documentation of APXS analysis spots to support interpretation
of geochemical data across multiple rover sites (Fig. 7);
imaging in support of robotic arm operation and the second phase of rover
commissioning during sols 32–37, to validate the behavior of the arm under
Martian conditions (Fig. 8; Robinson et al., 2013);
observations of landscape geomorphology (Fig. 9) and airborne dust;
imaging of other instrument hardware (e.g., the APXS calibration target,
the CheMin inlet funnel, the Sample Analysis at Mars (SAM) tunable laser
spectrometer (TLS), the Rover Environmental Monitoring System (REMS)
ultraviolet (UV) sensor and the ChemCam remote warm electronics box (RWEB))
to support their safety and health (Blake et al., 2013; Edgett et al., 2012;
Gómez-Elvira et al., 2012; Wiens et al., 2012; Campbell et al., 2014;
Figs. 10–12); and
observations of the properties and configuration of eolian dust that
settled on natural and rover hardware surfaces (Fig. 12).
Example of rover wheel inspection imaging, acquired on sol 713
(8 August 2014). Curiosity's wheels are 40 cm wide. Because the wheels are a
non-renewable resource, MAHLI is used on a regular basis to monitor damage;
thus, single MAHLI wheel imaging (SMWI) is acquired after every
∼ 100 m of driving and full MAHLI wheel imaging (FMWI) is acquired
every ∼ 500 m. MAHLI images also contribute to the science team's
efforts to identify and avoid driving across terrain that is potentially
hazardous to the wheels (Yingst et al., 2014). Illuminated by sunlight from
the upper left, this is MAHLI image 0713MH0002620000204354E01.
MAHLI view of a sandstone target named Ledger, acquired on sol 1092
(2 September 2015) after brushing, documenting the spot at which the APXS
collected geochemical data. MAHLI acquires images from ∼ 7 cm working
distance (field of view ∼ 5 × 3.75 cm) at most APXS science
targets; this documentation is possible because the offset between the center
of a MAHLI image and the center of an APXS integration spot is 0.5–5 mm
despite the instruments being positioned on opposite sides of the robotic arm
turret (VanBommel et al., 2015). Image documentation has proven to be crucial
in assessing the amount of dust cover influencing the chemistry of APXS
integration. On targets where dust has been largely cleared away by the Dust
Removal Tool (DRT), MAHLI images record grains, veins, fractures and remnant
dust that may contribute the measured APXS chemistry. This figure shows
Ledger shadowed by rover hardware (sunlight is otherwise from the upper
left); this is onboard focus merge product 1092MH0001700000401024R00.
Example of MSL MAHLI imaging support for robotic arm teach point
establishment. The front end of the Organic Check Material-1 canister (OCM-1;
circular feature) diameter is 6.25 cm (Conrad et al., 2012). During the
second phase of rover commissioning (sols 32–37; 8–13 September 2012),
MAHLI was employed to image (1) portions of the rover to record their
post-landing status, and (2) pre-launch-designated arm and turret positions
(teach points) at rover hardware positions that were expected to be imaged
repeatedly over the course of the mission. These included two of the five
OCMs (1 and 5; Conrad et al., 2012), one of two replacement drill bit boxes
(Anderson et al., 2012), and the observation tray (Anderson et al., 2012,
Berger et al., 2014). In this example, OCM-1 was imaged before launch in July
2011 (left; image ATL_MH0090060020001340E01, illuminated by
artificial overhead lighting and MAHLI's white light LEDs) and then imaged
again on Mars in September 2012 (right; image 0034MH0000410010100009C00,
illuminated by sunlight from the top left).
Image scale and range finding
MAHLI image scale, for targets at working distances of 2.1–210 cm, is
related directly to the instrument's stepper motor count. This relationship
was empirically determined by measuring features of known scale, at known
distance, on both Earth and Mars (Edgett et al., 2015). When the dust cover
is open (which is the nominal operation mode on Mars because the dust cover
was coated with a film of dust during the rover's terminal descent), the
relationship between motor count (mopen) and working distance
(w, in cm) is expressed as follows:
w=(amopen-1+b+cmopen+dmopen2+emopen3)-1,
in which a= 0.576786, b=-11.8479, c= 2.80153 × 10-3,
d=-2.266488 × 10-7, and e= 6.26666 × 10-12.
When the camera is focused with the dust cover open, over the 2.1 to 210 cm
range, the relationship between the motor, the relation between working
distance (w, in cm) and the width of the area covered by each MAHLI square
pixel (p, in µm), assuming the target is in focus and is a plane
parallel to the camera's CCD, is
p=6.9001+3.5201w.
Equations (1) and (2), used together, determine the pixel scale of any given
image acquired by MAHLI at working distances from 2.1 to 210 cm.
Equation (1) can also be used to determine the distance of the camera, and
thus the robotic arm, from a target imaged by MAHLI (range finding). This
capability supports precise and repeatable placement of the robotic arm, and
was employed to place the robotic arm scoop for sampling of the Rocknest sand
shadow eolian feature on sols 60–89 (Minitti et al., 2013). Depth of
field (DOF) contributes to uncertainty in the relation between working
distance, motor count, and pixel scale. Depth of field (dnear and
dfar) increases with increasing working distance, and is
determined by
dnearordfar=amopen-1+b+cmopen+dmopen2+emopen3-1,
in which, for dnear, a= 1.03565, b=-11.9083,
c= 2.82403 × 10-3,
d=-2.29003 × 10-7, and
e= 6.34332 × 10-12, and, for dfar,
a= 1.03438, b=-11.4118,
c= 2.69297 × 10-3,
d=-2.17752 × 10-7, and
e= 6.02494 × 10-12 (Edgett et al., 2015).
Data distribution
MAHLI data and data products are archived with the NASA Planetary Data System
(PDS) according to a release schedule determined by the MSL Project and NASA
PDS. As of 16 March 2016, all data received as of sol 1159 (9 November 2015)
have been validated and archived; this includes all MAHLI images acquired
during interplanetary cruise and pre-launch testing. In addition to the NASA
PDS archives, all MAHLI images from Mars are placed online, typically less
than 1 h after receipt on Earth, on a public website maintained by the MSL
Project at the California Institute of Technology's Jet Propulsion
Laboratory. For this rapid, immediate image release effort, MAHLI images that
arrive on Earth as JPEG-compressed products are placed online exactly as
received from Mars; for data received with lossless or no compression, the
data are color-interpolated, saved as a JPEG with compression quality 95/100,
and then placed online; these practices ensure the public immediately
receives the highest quality JPEGs.
Lessons learned during operations
MAHLI has performed nominally on Mars. Here we discuss the lessons learned
through 1150 sols of operation, or approximately 3 Earth years.
Operations lessons learnedUse limitations
After a major scientific campaign exploring the lacustrine rock record at
Yellowknife Bay (Grotzinger et al., 2013), Curiosity's primary goal was to
reach the geological targets on Aeolis Mons (Mt. Sharp; Grotzinger et al.,
2012). This focus on driving limited the nature and extent of all science
observations during the during the July 2013–September 2014 traverse to Mt.
Sharp, and in particular limited use of the robotic arm given the significant
time and power resources its deployment requires. Because fulfilling MAHLI's
full science investigation requires arm deployment to acquire targeted MAHLI
images, MAHLI observations were largely limited to a few strategically
planned stopping points along the traverse for high-priority science
(Vasavada et al 2014). As a consequence, the camera was commonly used only
when another science investigation or engineering need required it; of
necessity, the MAHLI science investigation alone was rarely the driving
force.
Example of MAHLI's view of the landscape acquired on sol 634 (19 May
2014) when the robotic arm was in a stowed position. This view, looking
toward the north wall of Gale crater (background), shows the Kimberley field
site and Windjana drill location (left). The outer-edge distance between the
right and left wheel tracks is about 2.8 m. Illuminated by sunlight from the
top left, this is MAHLI image 0634MH0003250050203763E01.
MAHLI images of science instrument hardware. Such images are
acquired periodically, or as needed, to support instrument calibration,
health, and safety. (a) Sol 989 (19 May 2015) image of a portion of
the MAHLI calibration target (the full target includes the bar target seen
here, as well as gray, color (RGB) and UV fluorescent swatches, stair steps,
and a US cent; Edgett et al., 2012); these images are acquired on a
∼ 180-sol cadence to monitor camera performance. Illuminated by
sunlight from the top, this is MAHLI image 0989MH0004980050304442C00.
(b) MAHLI image 0591MH0003730010203137C00, illuminated by sunlight
from the upper left on sol 591 (5 April 2014), of Curiosity's Alpha Particle
X-ray Spectrometer (APXS) calibration target; these images are also obtained
on a ∼ 180-sol cadence to record dust cover (Campbell et al., 2014).
(c) MAHLI view of the CheMin sample inlet (Blake et al., 2012)
focused on the inlet funnel and on the 3.5 cm diameter millimeter mesh
overlying the funnel; acquired after delivery of the sample to the CheMin
instrument. Imaging of the inlet mesh and funnel is used to detect remnant
material in the inlet after delivery and verifies removal of such material
before the next sample delivery. Illuminated by all four of MAHLI's white
light LEDs at night, this is sol 895 (12 February 2015) image
0895MH0002280000302809C00. (d) Curiosity's Sample Analysis at Mars
(SAM) Tunable Laser Spectrometer (TLS) atmospheric gas inlet on the starboard
side of the rover chassis. Early in the mission, MAHLI supported SAM
operations by looking for evidence of disrupted sample delivery in images of
both closed SAM inlet covers. Being the only camera on the rover capable of
viewing it, MAHLI was used on sol 544 (16 February 2014) to seek evidence for
a suspected obstruction in the SAM TLS inlet. Illuminated by sunlight from
the upper left, this is MAHLI image 0544MH0003450010201448C00. Its
acquisition was challenging for robotic arm positioning and thus planning for
it spanned several months and included testing the operation on the
full-scale testbed rover at the California Institute of Technology's Jet
Propulsion Laboratory.
Example MAHLI image of the ChemCam Remote Warm Electronics Box
(RWEB) window, acquired with solar illumination from the upper left on sol
808 (14 November 2014). This is onboard focus merge product
0808MH0001930000300748R00. MAHLI periodically images the ChemCam RWEB window,
which contains the instrument's laser, telescopic optics and remote
microscopic imager (RMI) (Maurice et al., 2012), to detect changes in dust
contamination. MAHLI is also sometimes used to image the fiber optic cable
that carries ChemCam signals to the spectrometers within the rover body
(Wiens et al., 2012), to look for cable wear.
Even in instances when resources allow arm (and thus MAHLI) deployment, MAHLI
images are often acquired of the targets that are available, rather than
targets that are scientifically optimal. After Curiosity arrives at an
end-of-drive position, the stability of the rover is confirmed to be
sufficient for arm deployment. A usable workspace ∼ 2 m wide and 1 m
deep in front of the rover is defined by constraints on positioning the
5 ∘ of freedom, 2.25 m long robotic arm and the 50 kg, 60 cm
diameter instrument turret on its end. Only individual targets of interest
within this workspace that are characterized as safely reachable by the arm
and turret are available for imaging by MAHLI. Operational time of day
constraints (which are a convolution of thermal state of rover hardware at a
given time of day), power for mechanism operation and heating, rover position
as a function of daytime Sun position, and communications relay periods that
can interrupt science data acquisition further limit the ability of MAHLI to
acquire images under ideal conditions (Sect. 6.2). Expending extra sols to
perfect rover positioning for arm placement of MAHLI at a given target has
thus far been viewed as too resource intensive. Finally, because necessary
staffing constraints limit the science team to either a drive or contact
science in any given plan, the use of MAHLI is limited to available contact
science planning days or requires the sacrifice of a planned rover traverse.
MAHLI use has also been limited over long weekends or holidays to avoid a
situation that occurred early in a campaign in the Pahrump Hills region (that
campaign is explained in more detail in Sect. 6.1.2), in which the arm
faulted with the MAHLI dust cover open. This situation required
emergency commanding sessions to close the MAHLI cover when staff was
normally not available. Because such emergency tactical procedures were a
significant stress on personnel and other resources, it was decided that
MAHLI use would be precluded in any command situation in which a fault could
result in the dust cover remaining open over multiple sols. This further
limits the observations that MAHLI can acquire.
Future missions will likely continue to rely on arm-mounted imagers for
micron-scale grain analysis; e.g., NASA's Mars 2020 rover will carry a
build-to-print MAHLI, as noted in Beegle et al. (2016), and all such imagers
will have a similar limitation. One candidate solution for mitigating this
limitation would be for the mission to include an additional camera
(mast-mounted) that acquires similar high-quality, high-resolution images
without the need for arm motion; such images would be used to prioritize
candidate contact science targets, including those for higher-resolution,
arm-mounted camera viewing (e.g., MAHLI) (Yingst et al., 2014).
Comparison of dust coatings on the Rover Environmental Monitoring
Station ultraviolet (REMS UV) sensor (Gómez-Elvira et al., 2012) between
sols 323 and 1041. On a ∼ 60-sol cadence, MAHLI images the REMS UV
sensor to monitor dust coverage over this zenith-viewing sensor and its
internally mounted ring-shaped magnets. In addition, on sol 526, MAHLI was
employed to image the REMS meteorological boom no. 1, via a maneuver
challenging to robotic arm positioning, to look for signs of damage on the
boom that might have occurred during landing and led to the failure of the
boom 1 wind sensor. (a) The sol 323 picture is MAHLI image
0323MH0000950010104076C00, illuminated by sunlight from the right.
(b) The sol 1041 view is MAHLI image 1041MH0000950010400265C00,
illuminated by sunlight from the left.
MAHLI images of the stone target named Nova, illuminated by sunlight
from the left, acquired from 1 m distance on sol 687 (13 July 2014) to
record, for the first time on Mars, a ChemCam LIBS investigation in action.
(a) Full MAHLI field of view, covering Nova and its context, with
direction to the front of the Curiosity rover indicated. The yellow box
(scale, 9.3 cm by 9.3 cm) indicates the location of sub-frames acquired
using MAHLI's video capability so as to image bright flashes from ChemCam
laser-induced plasma. This is MAHLI image 0687MH0004150010203989C00.
(b) MAHLI video sub-frame 0687MH0004160000203993M80, expanded
2× in size; the blue arrow indicates a flash caused by LIBS-generated
plasma.
Information content in targets illuminated by the Sun and in full
shadow can be complementary. This example is from the rock target Bardin
Bluffs, imaged by MAHLI on sol 394 (14 September 2013). (a) Pebbly
sandstone grains in sunlight, Sun from the upper left (shadowed by hardware
at the right) in a portion of MAHLI focus merge product
0396MH0001700000104474R00. (b) Same rock surface in full shadow
(cast by rover hardware) in MAHLI focus merge product
0396MH0001700000104470R00; this image has been contrast and color enhanced.
Although the intrinsic spatial resolution of the two images differ, because
they were acquired from different working distances, it is the difference in
illumination conditions that provides complementary information about the
rock. In full sunlight, the smoothness of the largest clast (just left of the
yellow ellipse) results in specular reflections and grain boundaries that are
difficult to identify on flatter regions of the rock. The sunlit face is
ideal for discriminating grain shape and rock surface morphology.
Considerably more color information is available in the shadowed image than
the sunlit image. Individual white grains can be distinguished in the
shadowed image (e.g., yellow ellipse), but not in the sunlit face.
Optimizing target selection and imaging
In part to overcome the operational challenges of acquiring science-driven
MAHLI images and increase the amount of grain-scale data acquired at a
particularly science-rich site informally called Pahrump Hills (Grotzinger et
al., 2015), the science team designed and executed a “walkabout-first”
strategy that began around sol 750, in which the rover first explored the
site with its remote sensing instruments, then used these data to down-select
the best sites for more detailed, time- and resource-consuming interrogation
by MAHLI and other contact instruments. This strategy, commonly used in
terrestrial settings, was also used during Opportunity's examination of
Whitewater Lake (Arvidson et al., 2014). This is in comparison to the linear
approach commonly employed for rover fieldwork, in which the rover rarely
backtracks, but instead examines all sites in the order encountered (e.g.,
Columbia Hills and Home Plate at the Spirit site (Arvidson et al., 2007),
Endurance Crater at the Opportunity landing site (Grotzinger et al., 2005),
and the Kimberley region by Curiosity (Grotzinger et al., 2014); these two
methods are summarized in Yingst et al., 2015). The quantitative result of
this operational strategy was 198 MAHLI science targets imaged between sols
753 and 948, compared to 478 MAHLI science targets imaged during the rest of
the mission through sol 1100. Put another way, the Pahrump Hills MAHLI
science image set represents 41 % of all MAHLI science-driven images up
to sol 1100. Qualitatively, Pahrump Hills remains the only location on Mars
where more than ten vertical meters of continuous sedimentary stratigraphy
have been documented and analyzed at the handlens scale (µm to mm).
Additionally, this strategy enabled the team to park the rover in a favorable
orientation for getting full sunlight on MAHLI targets of choice, something
difficult to accomplish during normal operations where rover orientation is
often determined by other factors (e.g., McBride et al., 2015).
Another scenario in which MAHLI use can be optimized is at drill sampling
locations. The processes of identifying and assessing a potential drill
target, drilling the target and then delivering the sample to the
geochemical suite (SAM and CheMin) requires multiple sols to execute; these
sols provide opportunities to identify targets of high-scientific interest
(other than the drill target) and to design MAHLI observations (i.e., number
and type of images, best time of day for illumination).
We recommend that for those locations studied in-depth (i.e., campaigns such
as those for the areas informally known as Yellowknife Bay and Kimberley;
Grotzinger et al., 2013, 2015), the walkabout-first
strategy should be utilized where possible to maximize MAHLI science return.
For those locations where the walkabout-first strategy is not desirable or
feasible, we recommend strategically developing a robust set of
science-driven criteria for MAHLI targets at each location, and a plan for
reaching them (via arm motion and rover drive positioning) that is on par
with, as well as in accord with, the needs of the other onboard science
instrument investigations.
Terminal descent plume
Various changes in hardware configuration during the mission design period
necessitated placing the MAHLI camera with its lens facing toward the rover's
terminal descent plume during landing. The engines mobilized sand and dust,
as witnessed by the rover's descent imager (Schieber et al., 2013), some of
which was deposited on the rover hardware. While the MAHLI dust cover and
camera head survived Curiosity's descent to the Martian surface, the
capability of the camera to image through its transparent dust cover was
impaired due to the presence of a dust film that obscures the view. Further,
because of this event, the first-time opening of the dust cover was delayed
to add a visual inspection, using Curiosity's Mast cameras, to ensure that no
deposited grains obstructed cover motion. The reduction in dust cover
transparency means that the MAHLI cover must be opened in most circumstances,
rather than being able to image through the cover in potentially more risky
situations (for example, when a fault could result in the MAHLI cover being
left open and the lens exposed to dust settling for multiple sols, or in an
active dune field). Avoiding such risk has necessitated that MAHLI not be
used in these situations. Future missions with similar imagers should
consider avoiding an instrument accommodation in which the camera is pointed
directly into the plume of dust and debris lofted by descent engines, or
taking other safeguards, such as installing a one-time removable cover in
addition to the existing dust cover.
Stowed camera position
Between July 2013 and September 2015, MAHLI regularly acquired an image when
the robotic arm was in a stowed position (Fig. 9), after each drive. These
images document a portion of the landscape, in color, although the pointing
is fixed (view is to the back left of the rover). Because the camera detector
(CCD) mounting position inside the instrument is rotated 210∘
relative to the stowed position of the camera, these images are not acquired
in typical “portrait” or “landscape” orientations. Serendipitously, this
orientation has been found to be perfect for balancing the information
content visible in the vertical and horizontal directions; sky color as a
function of height can be observed, as can near-field geologic features and
mid- and far-field landmarks visible in the highest-resolution orbiter
images. When the rover drove backwards to minimize wheel damage, these
terminal drive images often captured rover tracks and provided parting views
of the terrain that yielded added geomorphological and stratigraphic context
for other MSL observations.
Imaging best practicesDust-free surfaces
On Earth, rain usually keeps rock outcrop surfaces clean of dust that may
settle from the atmosphere. This is not the case on Mars. Dust-free surfaces
are rare but yield best results in determining lithology when imaging on
Mars. Areas where wind, the rover's dust removal tool (DRT; Anderson et al.,
2012) or the ChemCam Laser Induced Breakdown Spectrometer (LIBS; Wiens et
al., 2012) removed the surface dust provided a better science return than
dust-covered surfaces (Fig. 13). A tool specifically designed to remove
dust and provide contact instrument access to fresh rock surfaces, such as
the descoped surface removal tool (SRT; Edgett et al., 2012) or a notional
robotic rock hammer, would have been more beneficial. In lieu of such a tool,
targets that have been disturbed by the rover or other hardware (e.g., broken
rocks, disturbed regolith) can also provide cleaner or fresh surfaces, but
opportunities to view these have been limited.
Solar illumination and shadow
Our experience shows that daytime MAHLI images of geologic materials are best
acquired when the target is illuminated by sunlight, particularly with phase
angles approaching 90∘. This is because targets on Mars in full
shadow tend to appear to be more orange-brown than they actually are, and the
shadowing de-emphasizes vital color and textural detail (Edgett et al.,
2015). That being said, it is ideal to acquire both fully sun-lit and fully
shadowed views of the same target at the same scale, because both provide
information that the other does not provide alone. Fully illuminated targets
yield the best natural color and textural information to discern individual
grains, characterize grain morphology, and identify subtle geologic features,
while applying the dynamic range of the camera to a fully shadowed scene
yields a scene with greater contrast, and thus a greater discrimination
between subtle color differences (Fig. 14). Images acquired in partial
sunlight have proven to be least useful, as both of these advantages are
lessened. Specifically, such a mixed image provides less of the target in
full illumination, and stretching the shadowed portion of the image is less
effective as a fully shadowed image.
Artificial illumination source
When using an artificial light source, phase angle can reduce apparent
depth, which in turn lessens textural heterogeneity and challenges
autofocus; MAHLI's white light LEDs, which are at different positions and
can operate independently (Edgett et al., 2012), can provide shadowing,
lessening this problem. When imaging at night, the placement of the LEDs is
adjusted to create the best image. When imaging a drill hole, for example,
one set of LEDs is pointed directly down the hole. Though it did not improve
image quality when used to illuminate shadowed targets during daytime or
twilight, under Mars conditions, the LEDs provided effective illumination of
target color and texture under nighttime conditions (Minitti et al., 2014).
This is thus an important capability, as it increases the number of MAHLI
imaging opportunities by permitting the acquisition of MAHLI images without
delaying other activities that require daylight (e.g., driving). Thus, while
the preferred illumination conditions are daytime full sunlight or shadow,
the LEDs have significantly increased useful MAHLI image acquisition.
Focus range and field of view
The relatively large field of view (FOV) of MAHLI (38.5∘ diagonal at
infinity focus), and its ability to focus over a large range of working
distances, were key capabilities that permitted crucial science-enabling
rover and instrument hardware engineering observations, including imaging the
rover wheels to identify and monitor damage (Fig. 6; Yingst et al., 2014);
monitoring of other instruments for dust accumulation; imaging inside the
laboratory inlets (e.g., SAM, CheMin) for sample cross-contamination
(Fig. 10); and contributing to diagnosis or better understanding of other
hardware problems (e.g., damage on REMS boom 1, ChemCam mirror dust
accumulation; Fig. 11). Many of these observations are now acquired at a
standard cadence for routine health and safety checks of the hardware and
instruments. A smaller FOV would have meant that significantly more images
would be required to accomplish each of these crucial imaging activities (and
thus more time and rover resources), potentially limiting the ability of the
team to monitor and protect the instruments and the rover. For example, full
MAHLI wheel imaging (FMWI) was originally a six-image sequence with an image
manually focused on each wheel; however, the two dedicated middle wheel
images were dropped after sol 574 as extraneous, because the relatively large
FOV allowed all wheels to be imaged using only four images. Additionally,
this FOV enables the creation of mosaics that show the entire rover in field
context (Fig. 2), using 2–3× fewer images than would a similar
camera with a resolution of 7–8 µm pixel-1 (and
correspondingly narrower FOV). This translates to significantly less time
spent on engineering and system upkeep activities, and thus more time and
resources that can be devoted to science-driven activities. Future landed
missions (e.g., Moon, Mars, small bodies) should consider the benefits of
utilizing a high-fidelity arm-mounted camera with a large FOV and focus range
to support engineering diagnostic concerns, both seen and unforeseen.
Conclusions
MAHLI has proven to be robust, efficient in operation, and flexible in the
images and derivative products it yields. The combination of fine-scale
resolution, RGB color, ability to focus over a large range of distances, and
relatively large FOV, have provided maximum science and science-enabling
return given the MSL mission architecture and constraints. Resolution down to
coarse silt allows discrimination among records of potential habitable
environments (mudstone vs. sandstone, for example) without greatly increasing
focal length and thus mass and volume. Color has proven to be a crucial
discriminator among sedimentary grains of a similar morphology, fabric or
sorting, but different lithologies. This has been especially true for
fine-grained rock targets, where very subtle color differences are in some
cases one of the only ways to determine grain boundaries. The ability to
determine the relationship between the variable focus stepper motor count and
distance to the lens allows MAHLI to be used for range finding for robotic
arm placement if a target has been approached once.
Finally, the MAHLI optical configuration strikes a very favorable balance
between resolution and FOV, yielding accompanying benefits in mass and volume
savings while enabling images from grain to rover to landscape scale.
R. Aileen Yingst, Kenneth S. Edgett, Marie J. McBride, Michelle E. Minitti and
Rebecca M. E. Williams contributed significant analysis to the reported science results.
Michael A. Ravine led the effort to build the instrument and Megan R. Kennedy,
Gillian M. Krezoski and Michelle E. Minitti led the operations efforts, with assistance from
R. Aileen Yingst and Kenneth S. Edgett. All authors contributed to the conception,
development, execution and further refinement of MAHLI operational sequences.
R. Aileen Yingstt prepared the manuscript with contributions from all co-authors.
Acknowledgements
We gratefully acknowledge all the individuals who have made MAHLI operations
a success: the MAHLI Payload Uplink and Downlink Leads, Data Management
leads, and all the engineers at JPL responsible for operating the rover arm.
Additionally, we are grateful to Deirdra M. Fey for assistance with image
processing and figure development. The authors also wish to thank the
reviewers, whose comments improved this paper. This work was supported by the
Mars Science Laboratory Program through Malin Space Science Systems contract
08-0315 to R. Aileen Yingst.Edited by: L. Vazquez
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