Statistics of the Blueberries of Opportunity’s first 310 Sols,

By Henry Wallace [email protected] , Marsman , and Denis Royer [email protected] , and by the many contributors to the “Go Measure…” Thread [1].

 

ABSTRACT:  All Martian Blueberries micro-photographed by the Opportunity rover during the first 310 Sols were carefully measured and analyzed. They present two distinct populations, separated both statistically and geographically. The statistics of both populations are best represented not by a Gaussian or Normal distribution, but by two variants of the Asymmetric Logistic Peak function.

 

MATERIALS AND METHODS:  The Microscopic Imager (MI) is one of three cameras carried by Opportunity and takes close-up photographs of a standard area 1.2 in. (30.7 mm ) on each side, representing 1024 by 1024 pixels in the standard MI image published on the Internet by NASA/JPL [2].   All MI images taken between Sol 1 and Sol 310 were studied, and all available MI images with blueberries that met our criteria up through Mars Sol 310 were included in our sample. Measurements were taken of the maximum major diameter of each spherule. A conservative set of rules was developed and followed to assure consistent choice and measurement of blueberries [3]. Every MI image with blueberries was examined; Only whole, unbroken spherules were selected for measurement; Diameters were measured in pixels, then converted into millimeters by multiplying pixels by 0.03; Where there were multiple images of any spherule or group of spherules the image with the best focus only was selected for measurement. Generally, only spherules above 1.2 mm in diameter were tabulated to ensure that sand grains or small near-spherical rocks were excluded from our sample. There were 474 blueberries included in our overall sample. There were two principal sources of potential error; focus errors from the MI camera (c. 10%) and the human error from interpreting the pixel edges in the MI images. The assumption was made that areas for MI imaging were randomly chosen by NASA

Up through and including Sol 310, Opportunity used its Microscopic Imager on a total of 137 Sols. From these 137 Sols we were able to collect a total of 474 berries Fig. 1:

 

 

As shown in this Figure, and based on NASA documents [4], certain Sols were considered to be internal to either Eagle Crater or Endurance Crater. We grouped the berries collected in either of these craters into one population of 150 berries, which we called “Craters”, and the remaining 324 berries were grouped into a second population which we called “Flatlands”.

 

We want to stress that the Crater berries were collected sequentially, with but one “skip” between Eagle and Endurance. We consider the geographical region from which the Crater berries were collected to be a long, thin meandering strip of Martian soil which traces Opportunity’s path. There is but the one discontinuity in this strip, the one between Eagle Crater and Endurance Crater. We consider this strip to be geographically separated from the other segmented strip which contains the Flatlands berries. Because Sol 221 contained three times as many berries as the next most populous Sol, we chose to divide its 69 berries: the first 28 into Craters and the second 41 into Flatlands.

 

The results of our statistical analysis of the blueberry diameters showed two distinct populations, separated both statistically and geographically. Each group demonstrated a “tightness” or clustering around  peak diameters of 4.55 mm and 3.58 mm respectively. See Fig. [2] and [3]. In both populations, particularly Craters, the distributions were tighter than a standard Gaussian (Normal distribution) population.  Crater berries particularly also showed a “hard limit” of size distribution at the high end.  No spherules were found above 6.02 mm.

When the two populations are combined, Fig. [4] results. An interesting observation may be drawn from this Figure. Note that, at first glance, the data might be thought to be well fitted by the Normally distributed standard Gaussian, the green line. This green line is the “best fit” standard Gaussian, and its chi-square fit with the histograms is fairly close, at 5.8% error. Note, however, that the combined ASLP functions from Craters and Flatlands (blue line) achieves a much closer fit, at only 1.6% error. Thus the “first glance” impression of a Gaussian fit with the overall data is found to be in error, an error caused by the similarity of the blue line and the green line.

Tests applied only to the overall data fail to yield two distinct populations. This is because, when all the data is included in one geographical “box”, the 474 berries is too small a sample to fully resolve the two distinct populations. However the geographical separation shown here provides two “boxes”, one of 150 samples containing overwhelmingly only the larger Crater berries, and the other of 324 samples containing overwhelmingly only the smaller Flatlands berries. The question might be posed, “How certain are we of the location of the two peaks, one centered at 3.58 mm and the other at 4.55 mm, and could they possibly overlap into just one peak, and thus represent only a single population?” To answer, we point out that the 4.55 mm peak is supported by the 150 samples from Craters and the 3.58 mm peak is supported by the 324 berries from Flatlands. By the Central Limit Theorem, 150 samples can “place” the 4.55 mm peak to within about 8.16%, or about 0.37 mm. Thus this peak is between 4.18 mm and 4.92 mm. Similarly the 324 sample size can place the other peak to within about 5.5%, or about 0.20 mm, or between 3.38 mm and 3.78 mm. Thus there is a minimum separation between the two peaks of 0.4 mm, supporting the fact of two distinct populations.

 

 We found both berry populations to be well fitted by an Asymmetric Logistic Peak function (ASLP) [5]:

 

.

 

 

The ASLP is a function of x (mm) and of the four constants a, b, c, d. The ASLP has a peak of amplitude a (berries, in these cases) located at the position b (mm). Note that Craters was best fitted by a=32, b=4.55 mm, c=0.25 and d=0.30. Flatlands was best supported by  an ASLP with a=58, b=3.58 mm, c=0.42 and d=0.61.

 

The ASLP is often used by biologists in defining crop growth. See, for instance, [6].

 

Denis Royer [7] made blueberry diameter measurements from Sol 188 and 202 Opportunity Panoramic Camera image using the pattern recognition software, ImageJ. In his study 1,875 blueberries were analyzed. The statistical results from his study  confirm our results from the MI images reported here.

 

DISCUSSION:

The berries from the combined Eagle and Endurance craters constitute the population of “larger” berries while the remainder of the berries constitute the “smaller” berries. R. Lewis has long maintained the existence of at least two populations, and was the first to suggest the possibility of multiple populations. It is possible that the berries originally formed in the larger 4.55 mm diameter Fig [1] and subsequent wear or weathering reduced them to the 3.58 mm diameter Fig [2]. One speculation to account for this difference was that it might be related to differences in exposure to wind or ionizing radiation in the two environments and that the berries on the flatlands are less protected and therefore more weathered. Berry diameters would therefore tend to be higher in the relatively deep Craters than on the shallow Flatlands.

An Excel file of the raw data used in all computations is posted [8].

 

SELECTED REFERENCES:

[1] Our Web page hosting long report http://www.markcarey.com/mars/discuss-17077-go-measure.html

[2] http://marsrovers.jpl.nasa.gov/gallery/all/opportunity.html

[3] Mars Spherule Data Base at http://geocities.com/rlewis6/Spherule_Database.htm

[4] http://marsrovers.jpl.nasa.gov/mission/status_opportunityAll.html

[5] Systat statistical software http://www.systat.com/products/TableCurve2D/help/?sec=1076

[6] Royo, C., Blanco, R, Triticale: growth analysis of five spring and five winter triticale genotypes, Agronomy Journal, Vol 91, Issue 2 305-311, American Society of Agronomy, 1999. Download .pdf at http://agron.scijournals.org/cgi/reprint/91/2/305

[7] Denis Royer webpage http://perso.club-internet.fr/droyer/mars/mars1_000001.htm

[8] Excel file of spherule data  Berry# / Sol / diameter, mm http://www.abcsite1.com/data/mars_as_collected_N_is_473.xls

[9] Squyers, S.W. et al 2004, Science 3063, 1698-1703

[10] Marjorie A. Chan et al, 2nd Conference on early Mars (2004), 8012.pdf.

 

 

ACKNOWLEDEMENTS; Ian ( [email protected] ) and Blair [email protected] for their help with statistical error analysis; to several Mars Blog Forum participants who directly assisted  in the collection, hosting of data,  or analysis of the blueberry data, particularly R. Lewis, [email protected] , who hosts the Mars Spherule Data Base at http://geocities.com/rlewis6/Spherule_Database.htm,  Robert E. Page Jr.,  http://www.lipfordm.com/wtsi/RPage/RPage.htm ,  and Hortonaheardwho at (http://www.lipfordm.com); to other Forum participants for their supportive as well as critical comments in our Internet peer review process; to Richard Baumeister and Mark Carey for moderating and providing the Mars Forum respectively, (http://www.markcarey.com/mars/mars-forum/forum.html)  and to NASA/JPL for publishing the images without which this work would have been impossible. 

 

 

 

 

 

 

 

 

 

 

Hosted by www.Geocities.ws

1