reproducibility in rehydroxylation of ceramic artifacts

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 The following is a self-archived preprint version of S. Zhao, P. K. Bowen, J. W. Drelich, and T. J. Scarlett, Reproducibility in rehydroxylation of ceramic artifacts,   J. Am. Ceram. Soc.,  DOI: 10.1111/jace.13745.  Reproducibilit y i n Rehydroxylation of Ceramic Artifacts S. Zhao, 1  P. K. Bowen,  1 , J. W. Drelich, 1*  T. J. Scarlett 2  1  Department of Materials Science and Engineering 2  Department of Social Sciences Michigan Technological University Houghton, MI 49931, USA Abstract Since its introduction in 2009, application of the rehydroxylation (RHX) technique for dating fired-clay ceramics has been controversial, with very few satisfactory dating results collected in the interim. The stability and efficiency of this technique has been called into question by several investigators in the last few years, who have struggled to reproduce and validate this new dating method. Based on our new mass gain measurements for ca. 2000-7000 years old ceramic artifacts, the reproducibility in the RHX process rate is analyzed and discussed. Timespan analysis was performed, and age uncertainty related to RHX dating technique was evaluated by considering the error propagation. The results show poor reproducibility of the RHX process in the samples of the same origins, which give new evidence for a revision of the RHX protocols. Keywords: rehydroxylation; fired clay ceramic; reproducibility; data scatter *Authors to whom correspondence should be addressed, email: [email protected] and [email protected]

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Since its introduction in 2009, application of the rehydroxylation (RHX) technique for dating fired-clay ceramics has been controversial, with very few satisfactory dating results collected in the interim. The stability and efficiency of this technique has been called into question by several investigators in the last few years, who have struggled to reproduce and validate this new dating method. Based on our new mass gain measurements for ca. 2000-7000 years old ceramic artifacts, the reproducibility in the RHX process rate is analyzed and discussed. Timespan analysis was performed, and age uncertainty related to RHX dating technique was evaluated by considering the error propagation. The results show poor reproducibility of the RHX process in the samples of the same origins, which give new evidence for a revision of the RHX protocols. | Citation: S. Zhao, P. K. Bowen, J. Drelich, and T. J. Scarlett, “Reproducibility in rehydroxylation of ceramic artifacts.” J. Am. Ceram. Soc. (2015), doi: 10.1111/jace.13745.

TRANSCRIPT

  • The following is a self-archived preprint version of S. Zhao, P. K. Bowen, J. W.

    Drelich, and T. J. Scarlett, Reproducibility in rehydroxylation of ceramic

    artifacts, J. Am. Ceram. Soc., DOI: 10.1111/jace.13745.

    Reproducibility in Rehydroxylation of Ceramic Artifacts

    S. Zhao,1 P. K. Bowen,

    1, J. W. Drelich,

    1* T. J. Scarlett

    2

    1 Department of Materials Science and Engineering

    2 Department of Social Sciences

    Michigan Technological University

    Houghton, MI 49931, USA

    Abstract

    Since its introduction in 2009, application of the rehydroxylation (RHX) technique for dating

    fired-clay ceramics has been controversial, with very few satisfactory dating results collected in

    the interim. The stability and efficiency of this technique has been called into question by several

    investigators in the last few years, who have struggled to reproduce and validate this new dating

    method. Based on our new mass gain measurements for ca. 2000-7000 years old ceramic

    artifacts, the reproducibility in the RHX process rate is analyzed and discussed. Timespan

    analysis was performed, and age uncertainty related to RHX dating technique was evaluated by

    considering the error propagation. The results show poor reproducibility of the RHX process in

    the samples of the same origins, which give new evidence for a revision of the RHX protocols.

    Keywords: rehydroxylation; fired clay ceramic; reproducibility; data scatter

    *Authors to whom correspondence should be addressed, email: [email protected] and

    [email protected]

  • 2

    Introduction

    Rehydroxylation (RHX) dating was proposed in 2009 as an easy and reliable technique in dating

    sherds of unglazed archaeological pottery. 1 It relies on monitoring the rate at which water is

    regained by refired ceramics through rehydration (Stage I) and rehydroxylation (Stage II)

    processes, 2 and then modeling the Stage II process by a power law-correlation:

    1

    4, where

    is the change in sample mass and t is the time after firing or reheating of the ceramic. 3, 4, 5

    The mass gain term, m, can be defined in terms of measured mass (in grams) or as a fractional

    mass gain value relative to the starting mass of the sample (g/g); the latter is used here. The

    roots of this power law correlation have been proposed to originate from a single file diffusion

    mechanism 6 for water molecules migrating through the clay and meta-clay structures in

    ceramics. Under these assumptions, the time elapsed since the last firing of the ceramic artifact

    can be estimated from the accurate measurement of Stage II mass-gain kinetics. 1

    Since its introduction, great effort has been invested in this new dating method by several

    archeological and materials research groups. Unfortunately, only ten fired clay fragments have

    been convincingly shown to be successfully dated, 7 which is a surprisingly small number.

    Attempts by others have failed, 7, 8, 9, 10, 11

    and major concerns about this new dating technique

    continue to include: i) the stabilization of sample mass after the removal of physically bonded

    water; ii) the universality of reheating conditions used to remove chemically bonded water; iii)

    the stability and self-calibrating ability of the technique; 8 and iv) the validity of the single file

    diffusion mechanism, which provides a basis for the 1

    4 power law. 12

    Very recent studies

    demonstrate that appropriate chemical pre-treatment of archaeological material and/or the

    theoretical limits to rehydroxylation dating could be helpful in optimizing instrument design. 13

    Additionally, the relative insensitivity of the rehydroxylation rate to short-term humidity

  • 3

    fluctuations was demonstrated, providing strong, but still qualitative, experimental support for ceramic

    artifacts dating through examination of the rehydroxylation process. 14

    To succeed with the RHX dating method, at a minimum, the following conditions need to be met:

    a) the mass of non-refractory component from as-received samples must be negligible to

    avoid the release of non-water constituents upon refiring;

    b) excess capillary water is removed during drying prior to re-equilibration at

    experimental conditions specified under c;

    c) the sample is well equilibrated (attains a constant mass) in a constant humidity at a

    temperature that represents effective lifetime temperature (ELT) of the artifact at the

    archeological site;

    d) all water, including the hydroxyl water that is chemically bonded to clays, is totally

    removed during refiring;

    e) the water gains are obtained for refired ceramic under constant humidity and

    temperature (the same as in step d); and

    f) the rate water pick up fits the power law 1

    4 .

    Although these conditions are quite well recognized by the research community working on the

    RHX dating method, little was done to critically examine the effects these conditions have on

    dating. Most of the research followed blind protocols of set time and temperatures during the

    experimentation suggested in original publication by Wilson et al., 1 and publications that

    followed from the same research group. 3, 4, 5, 15, 16, 17, 18

    Because no other research team was able

    to successfully date ceramic artifacts through the protocols proposed by Wilson et al., the RHX

    dating method remains controversial. Only poorly reproducible results were reported so far, 8, 9, 10,

  • 4

    14, 19 with many requiring variations on the original

    1

    4 power law. In our previous contributions,

    we have used a generalized power law (1

    ) with a variable exponent (n), to describe the RHX

    behavior of ceramics without identifying their ages. 10

    The vs. 1

    curves produced for several

    samples demonstrated improved linearity in RHX Stage II. 9, 12

    The purpose of this contribution is to examine the reproducibility of the Stage II kinetics in the

    RHX dating protocol for a group of small sherds from the same parent fragment after refiring at

    500oC. The intragroup repeatability was examined for four such sets of ceramic artifacts, all

    treated identically. Understanding the reproducibility of RHX dating raises new questions about

    the validity of the dating protocol suggested in the past.

    Experimental

    In our study, four sets of sherds of fired clay ceramics from Mediterranean locations were

    examined (Table 1). Ceramic samples were collected and provided for this research by

    Prof.Kostalena Michelaki from Arizona State University. The sherds were cleaned to remove

    loose debris and dirt, and washed with deionized water. Larger fragments, typically square-

    shaped cross sections, were cut into approximately 10 10 5 mm pieces with a water-cooled

    diamond saw. Masses of the final samples varied from 0.4 to 1.0 g. One fragment of each set of

    samples of the same origins was dried at 110C for 5 to 7 days as a control sample. Four to six

    other samples were furnace dried overnight at 300C. This elevated drying temperature was used

    here to speed up the drying process. We found previously (unpublished) that some ceramic

    artifacts hold some amount of physically bonded water very strongly and drying them at 110-

    120oC is not always sufficient to remove the totality of physically bonded water.

  • 5

    After drying, all samples were placed in a glove box (Coy Laboratory Products, Grass Lake, MI)

    equipped with a Citizens CM-11 microbalance (Citizen Scale Inc., Edison, NJ) having 1 g

    precision. The glove box was set for 202% RH (relative humidity) for the duration of the whole

    experiment and located in a lab with an average ambient temperature of 202C. The mass of

    each sample was recorded for several days until it reached its equilibrium mass, previously

    defined as 2 by Wilson et al., 15

    characterized by measurement-to-measurement mass changes

    no larger than 0.01%. Then all samples were fired in a box furnace at 500C for 1 to 3 days and

    placed back into the glove box, again at 20C and 20% RH. Samples were labeled with their

    drying temperature and refiring times; for example, 300C-2a would mean that the sample was

    heated at 300C, equilibrated to find 2, and then fired for two days at 500C. The refired

    ceramic mass 0 was critical to all other experimentation, as it was the value to which changes

    in mass were normalized to yield a fractional value of . Sample weight was monitored

    periodically after refiring; every 15 min in the first couple of hours, then every 1-2 hours, and

    finally at least once a day for several weeks. X-ray diffraction (XRD) measurement was

    performed on a small sample surface by using Scintag XDS2000 / X-ray diffractometer with

    Cu K radiation ( = 1.540562 ). The scans were performed continuously from 15 to 70o in 2

    at a speed of 0.6o/min with a step size of 0.02

    o. The XRD instrument was operated at a tube

    potential of 45 kV and 35 mA filament current. Peaks were identified using the DMSNT (Scintag

    Inc.) software package in concert with the Powder Diffraction Database Search (PDDS) software

    (Scintag Inc. and Radicon Ltd., St. Petersburg, Russia). The PDDS software was used to search

    the Joint Committee on Powder Diffraction Standards-International Center for Diffraction Data

    (JCPDS-ICDD) database.

  • 6

    Statistical Analysis

    Linear regression analysis was used in this study to analyze the linear, Stage II portion of the

    versus 1

    4 curves.

    Timespan analysis was performed by comparing the RHX rate () against the 1

    4. The RHX rate

    () was calculated by the slope of the fractional RHX mass gain with respect to 1

    4, and was

    calculated at intervals that began with the last data points and was gradually expanded to include

    data back to t = 0 (using the slope from the end approach). 7 In this presentation, values

    calculated near the end of the experiment experience large perturbations due to the small number

    of data points considered; as the timespan analysis approaches the transition to Stage II mass

    gain the value of becomes more statistically robust.

    Random error propagation analysis 20

    was used to estimate the error associated with the RHX

    dating outcome. It was assumed that the archaeological age of the sample (ta), is described by

    Equation 1:

    = (24

    )

    4 (1)

    where = 2 4, 2 is the equilibrium fractional mass (normalized with respect to 0),

    4 is the y-intercept of the linear segment of the vs. t1/4

    plot according to Wilsons et al.15

    Then, the uncertainty associated with ta was estimated by the root of the sum of the square of

    each terms associated standard error multiplied by the partial derivative of ta with respect to the

    same term. This is shown in Equation 2:

    = (

    )2 2 + (

    m4)2 m4

    2 + (

    m2)2 m2

    2 (2)

  • 7

    The standard error values for the coefficients and 4 were determined by using the "LINEST"

    function in Microsoft Excel. Standard error for 2 was estimated as the fractional measurement-

    to-measurement deviation of the equilibrium mass (0.01%). Sources of systematic-type error

    are not included in this approach.

    Results and Discussion

    All ceramic artifacts selected were multiphase. Mineralogical analysis via XRD revealed quartz

    as the dominant phase and at least 4-5 secondary phases (Figure 1). For all samples, the peaks of

    quartz are high and narrow (especially at 2=20.90 and 26.66), indicating that a relatively large

    amount of highly crystalline material was present. The clay mineral illite-2M1 (JCPDS-ICDD

    No. 26-0911) and illite-2M2 (43-0685) were confirmed by the presence of characteristic peaks at

    19.8, 23.9, 29.9 and 30.3, 34.7, 37.4 respectively. Plagioclase feldspar was recognized by the

    presence of its two end phases: albite (09-0466) and anorthite (41-1481), which were identified

    by small peaks at 22.0, 23.5, 27.9 and 27.8, 33.8, 35.7, respectively. Apart from the quartz

    phase, sample RLG 007 showed large amount of calcium carbonate (85-1108) identified by the

    peaks at about 29.5, 39.5, 47.6, 48.6. Since our sample is not in the pulverized form so there

    might be the possibility of accidentally deposition of a large amount of weathering

    product/concretion on the surface. From XRD results, it can be seen that the high crystallinity of

    ceramics coming from the non-RHX active components (quartz, feldspars) while there was

    relatively little evidence of crystalline RHX-active components (i.e. illite).

    As shown in Figures 2 to 5, results from all four sets of samples illustrate different RHX

    behaviors. The values of linear regression variables describing Stage II RHX fractional mass

    gainthe intercept, 4, and the RHX rate, are summarized in Tables 2 to 5.

  • 8

    Seven fragments from sample RLG 019 show a typical two-stage progression of mass with t1/4

    .16

    Neither drying at 300C, nor prolonged firing time showed a significant effect on the RHX rate.

    The timespan analysis of the RHX curve (shown in solid lines) indicates that a trend is present

    for the RHX rate () throughout the experiment. Instead of reaching an ideal plateau near the

    Stage II transition, appears to increase systematically as the interval of analysis increases up to

    the time where Stage II presumably begins. The observed scattering and fluctuations of over

    the entire timespan analysis could be argued to increase uncertainty in the calculated age.

    For sample RLG 024, evolution of fractional mass gain does not strictly follow the two-stage

    pattern; it displays both concave and convex behavior at different times. As the observed

    curvature for all six specimens does not occur at the same time, it is likely that the disturbance

    comes from the intrinsic instability of the sample and the RHX technique. It is rather unlikely

    that this could be attributed to perturbation of the environment, as all samples within the set were

    simultaneously submitted to concurrent temperature and humidity fluctuations. With respect to

    the RHX rate over time, samples 300C-1c and 100C-1 show a plateau in from 3.0-4.0 and 3.5-

    4.2 hr1/4

    , respectively, while the others do not appear to stabilize at all in the timespan analysis.

    Because external conditions were identical, the different RHX behavior of samples from the

    same sherds [300C-1 (a, b, c, d, and e)] indicates the poor reproducibility of the technique.

    Overall, the RHX rates of RLG 024 specimens appear to scatter more than those from RLG 019,

    and lead to larger average age uncertainties. The vast scattering can also be evidenced from the

    wide range of 4 and value listed in Table 3. The higher drying temperature, again, had no

    discernable effect on the RHX rate. The change in drying conditions appeared to both increase

    the RHX rate from 96 g/h1/4 to 400 g/h1/4, as well as decrease it to 47 g/h1/4. The fact that

  • 9

    values nearly ranged over a full order of magnitude is worrisome; in principle, this value should

    be practically constant.

    Fractional mass gain for sample RLG 007 resembles sample RLG 019, in that both sets of

    samples exhibit a typical two-stage progression of mass with time1/4

    . The timespan analysis over

    the entirety of Stage II (Figure 4) shows RHX rates that are relatively flat with a narrow

    spreada better outcome than for other samples. Also like RLG 019, the value of in the

    timespan analysis appears to depend strongly on the time at which Stage II is assumed to begin.

    The timespan and linear regression analyses indicate that the scattering for a family of specimens

    cut from the same larger sherd differs from sherd-to-sherd, which is in agreement with recent

    results shown by LeGoff and Gallet. 7 Separation in 4 between 300C-1a and 300C-1c is as

    wide as 25%, but samples 100C-1 and 300C-1e, they exhibit nearly identical RHX behavior.

    Taken in whole, results in RLG 007 again indicate poor stability in the RHX process.

    For sample RLG 014, a plateau in the RHX rate () was observed in Stage II at 2.5-3.5 h1/4. Even

    though relatively constant values were observed, their magnitudes vary widely, by as much as

    82%. Again, the poor sample-to-sample consistency cannot be explained by random error or

    fluctuations in either temperature or RH conditions. The poor reproducibility instead points to

    intrinsic instabilities in the RHX process. It should be mentioned that samples 110C-1 and 300C-

    2a exhibited an unexpected mass decrease near the end of the experiment. It is thought that this

    was a result of sample disintegration.

    For all four sets of samples, the scattered nature of the RHX process introduce 10-40% of

    random uncertainty in the calculated ages and the estimated ages are much younger than their

    documented ages (Table 1). (However, in the case of RLG 007, the absolute calculated dates

  • 10

    should be much shorter due to RHX measurements being performed at temperatures substantially

    higher than the parent sherds ELT. In this case, the sample ages cannot be compared to the

    documented age.) This consistent outcome points to some source of systematic error (>99%) in

    the RHX dating process that caused a mismatch between the calculated and archaeological ages.

    There was also a noticeable amount of scatter within each family of samples, especially RLG

    007 and 014, which had calculated ages that spanned two orders of magnitude. The scatter could

    be explained, in part, by the pronounced scatter behavior of in Stage II as well as the

    subjectivity involved in selecting a Stage II transition in samples that did not show a RHX rate

    plateau. If one desired, dates could be made to appear older or younger by arbitrarily selecting a

    cut-off point along the timespan analysis that gave the desired RHX rate () and value of 4.

    The data illustrate the troubling scatter in RHX rates and calculated dates between samples cut

    from the same parent sherds, and processed in an identical manner.

    Conclusions

    By examining the RHX rate for all the four series of samples, few examples of consistent RHX

    rates, with respect to both time and other samples within a family, were identified. Replicate

    experiments show striking scatter at two drying conditions (110C and 300C) and different

    refiring conditions (500C for 1 to 3 days), with no discernable effect of either condition on

    RHX kinetics. High intragroup variation of RHX rate within a batch of specimens cut from the

    same parent sherd is indicative of poor intrinsic Stage II stability when analyzed in the t1/4

    power

    law framework. The poor stability and the scattered nature of the RHX process introduce 10-40%

    of random uncertainty in the calculated ages. This is in addition to unidentified systematic errors

    (in some cases corresponding to >99% error) that result in shorter-than-actual calculated ages for

  • 11

    all specimens examined here. All the results are indicative of inherent, unexplained complexities

    in applying the RHX dating technique to archaeological fired-clay ceramics.

    Acknowledgements

    We thank Kostalena Michelaki from Arizona State University for providing the fragments used

    in the current study, and our collaborator Carl Lipo and Elizabeth Niespolo from California State

    University at Long Beach for helpful discussions over the course of RHX experiment. This

    project was supported by an Archaeometry Research Award from the United States National

    Science Foundation (No.1219540).

    References

    1. M. A. Wilson, M. A. Carter, C. Hall, W. D. Hoff, C. Ince, S. D. Savage, B. McKay, and I. M.

    Betts, "Dating fired-clay ceramics using long-term power law rehydroxylation kinetics,"

    Proc. R. Soc. London, Ser. A, 465[2108] 2407-15 (2009).

    2. A. Hamilton and C. Hall, "A Review of Rehydroxylation in Fired-Clay Ceramics," J. Am.

    Ceram. Soc., 95[9] 2673-78 (2012).

    3. M. A. Wilson, W. D. Hoff, C. Hall, B. McKay, and A. Hiley, "Kinetics of Moisture Expansion

    in Fired Clay Ceramics: A (Time)1/4 Law," Phys. Rev. Lett., 90[12] 122503-1-03-4

    (2003).

    4. S. D. Savage, M. A. Wilson, M. A. Carter, W. D. Hoff, C. Hall, and B. Mckay, "Moisture

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    D: Appl. Phys., 41[5] 055402(4pp) (2008).

    5. S. D. Savage, M. A. Wilson, M. A. Carter, B. McKay, W. D. Hoff, and C. Hall, "Mass Gain

    due to the Chemical Recombination of Water in Fired Clay Brick," J. Am. Ceram. Soc.,

    91[10] 3396-98 (2008).

  • 12

    6. P. S. Burada, P. Hanggi, F. Marchesoni, G. Schmid, and P. Talkner, "Diffusion in confined

    geometries," ChemPhysChem, 10[1] 45-54 (2009).

    7. M. Le Goff and Y. Gallet, "Evidence for Complexities in the RHX Dating Method,"

    Archaeometry DOI: 10.1111/arcm.12137 (2014).

    8. M. Le Goff and Y. Gallet, "Evaluation of the rehydroxylation dating method: Insights from a

    new measurement device," Quat. Geochronol., 20 89-98 (2014).

    9. P. K. Bowen, J. W. Drelich, and T. J. Scarlett, "Modeling Rehydration/Rehydroxylation Mass-

    Gain Curves from Davenport Ceramics," J. Am. Ceram. Soc., 96[3] 885-91 (2013).

    10. P. K. Bowen, H. J. Ranck, T. J. Scarlett, and J. W. Drelich, "Rehydration/Rehydroxylation

    Kinetics of Reheated XIX-Century Davenport (Utah) Ceramic," J. Am. Ceram. Soc., 94[8]

    2585-91 (2011).

    11. K. S. Burakov and I. E. Nachasova, "Archaeomagnetic study and rehydroxylation dating of

    fired-clay ceramics," Izv. Phys. Solid Earth, 49[1] 105-12 (2013).

    12. M. Le Goff and Y. Gallet, "Experimental variability in kinetics of moisture expansion and

    mass gain in ceramics," J. Am. Ceram. Soc., In press (2014).

    13. V. J. Hare, "Theoretical constraints on the precision and age range of rehydroxylation

    dating," Vol. 2: Royal Society Open Science DOI: 10.1098/rsos.140372, (2015).

    14. J. W. Drelich, P. K. Bowen, and T. J. Scarlett, "Effect of Humidity Instability on

    Rehydroxylation in Fired Clay Ceramics," J. Am. Ceram. Soc., 96[4] 1047-50 (2013).

    15. M. A. Wilson, A. Hamilton, C. Ince, M. A. Carter, and C. Hall, "Rehydroxylation (RHX)

    dating of archaeological pottery," Proc. R. Soc. London, Ser. A, 468[2147] 3476-93

    (2012).

  • 13

    16. M. A. Wilson, S. Clelland, M. A. Carter, C. Ince, C. Hall, A. Hamilton, and C. M. Batt,

    "Rehydroxylation of Fired-Clay Ceramics: Factors Affecting Early-Stage Mass Gain in

    Dating Experiments," Archaeometry, 56[4] 689-702 (2014).

    17. C. Hall, M. A. Wilson, and W. D. Hoff, "Kinetics of Long-Term Moisture Expansion in

    Fired-Clay Brick," J. Am. Ceram. Soc., 94[11] 3651-54 (2011).

    18. C. Hall, A. Hamilton, and M. A. Wilson, "The influence of temperature on rehydroxylation

    [RHX] kinetics in archaeological pottery," J. Archaeol. Sci., 40[1] 305-12 (2013).

    19. G. T. Barrett, "Rehydroxylation dating of fired clays: an improved time-offset model to

    account for the effect of cooling on post-reheating mass gain," J. Archaeol. Sci., 40[10]

    3596-603 (2013).

    20. Y. Beers, "Introduction to the Theory of Error." Addison-Wesley Publishing Company, INC.:

    Massachusetts, Palo Alto, London, (1957).

    21. J. Robb, L. Foxhall, and D. Yoon, "Bova Marina Archaeological Project survey and

    excavations: Preliminary Report. ," pp. 33-35. in. Department of Archaeology, University

    of Cambridge, The soprintendenza archeologica della Calabria., 2003.

    22. K. Michelaki, R. G. V. Hancock, and G. V. Braun, "Using provenance data to assess

    archaeological landscapes: an example from Calabria, Italy," J. Archaeol. Sci, 39[2] 234-

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  • 14

    24. J. B. Auban, T. O. Kohler, A. D. Castillo, M. G. Puche, and F. J. M. Hernandez, "Mas dIs

    (Penguila, Alicante): aldeas y recintos monumentales del Neoltico Inicial en el valle del

    Serpis," Trabajos de Prehistoria, 60[2] 39-59 (2003).

    25. J. B. Auban and T. O. Kohler, "Mas d Is (Penaguila, Alicante): un recinto monumental del VI

    milenio cal BC," pp. 485-96. in. Universidad de Cantabria, Santander,Espaa., in Actas

    del III Congreso del Neoltico en la Pennsula Ibrica, 2005.

  • 15

    Table 1. Sample Information

    Sample Site and

    Archaeological

    Context

    Location ELT/ oC Age:

    Achaeometric

    or

    Calendrical

    and RHX

    target in Years before

    2014

    Main Phases

    RLG007 Mas D'Is; D4;

    Sherd #100-

    405

    Penguila,

    Alicante,

    Spain

    10.9 Neolithic

    5,590 +/-40

    BP,

    TRHX: 5,614-

    5,694

    Quartz, illite-

    2M1,

    calcite

    RLG014 Umbro Greek/

    T2 N73 E45

    Context 237

    Bag 2348

    Bova Marina,

    Calabria, Italy

    19.5-

    20.5

    Classical

    Greek

    425-350 BC

    TRHX: 2,439-

    2,364

    Quartz, illite-

    2M1,

    anorthite, albite,

    RLG019 Umbro

    Neolithic

    T6 N6 E59

    Sherd #1421-

    58

    Bova Marina,

    Calabria, Italy

    19.5-

    20.5

    Early to

    Middle

    Neolithic

    5,500-5,000

    Cal BC

    TRHX: 7,514-

    7,014

    Quartz, illite-

    2M1,

    anorthite, albite

    RLG024 Penitenzeria;

    T4; E40 N46

    Sherd #2038-

    66

    Bova Marina,

    Calabria, Italy

    19.5-

    20.5

    Early/Middle

    Neolithic

    5,500-5,000

    Cal BC

    TRHX: 2,439-

    2,364

    Quartz, illite-

    2M1(2),

    anorthite, albite

    Sample dates include expected dates expressed as calibrated or uncalibrated radiocarbon dates or using

    the known date range of cultural phases at the specific site. These dates are then converted into RHX

    Target Age (TRHX) understood as years before A.D. 2014. Samples RLG014, RLG019, and RLG024

    were recovered during excavations by the Bova Marina Archaeological Project team. Details about the

    excavation contexts for the sample sherds have been reported elsewhere 21, 22, 23

    . Sample RLG007 is from

    the site of Mas DIs which has also been described in the literature 24, 25.

  • 16

    Table 2. Time RHX parameters for RLG 019

    Sample

    RLG 019

    Nominal

    Mass m410

    5[g/g] 105[(g/g)/h1/4] Age/year

    100C-1 0.780520 1053 9 160 2 2.1 0.2

    300C-1a 0.693347 932 10 156 3 1.6 0.1

    300C-1b 0.762487 956 9 161 2 1.3 0.2

    300C-2a 0.520244 936 10 163 3 2.2 0.2

    300C-2b 0.814421 949 9 157 2 1.7 0.2

    300C-3a 0.895630 929 11 156 3 2.1 0.3

    300C-3b 0.504413 873 1 156 3 1.7 0.2

  • 17

    Table 3. Time RHX parameters for RLG 024

    Sample

    RLG 024

    Nominal

    Mass m410

    5[g/g] 105[(g/g)/h1/4] Age/year

    100C-1 0.80787 698 7 10 2 7 4

    300C-1a 0.684012 807 14 5 4 3 1

    300C-1b 0.624774 664 16 19 4 1.3 0.4

    300C-1c 0.92682 849 10 20 3 0.5 0.1

    300C-1d 0.886827 610 8 31 2 1.4 0.5

    300C-1e 0.811570 834 10 40 3 4 3

  • 18

    Table 4. Time RHX parameters for RLG 007

    Sample

    RLG

    007

    Nominal

    Mass m410

    5[g/g] 105[(g/g)/h1/4] Age/year

    100C-1 0.635143 864 11 130 3 38 1

    300C-1a 0.591287 990 13 135 3 0.5 0.1

    300C-1b 0.750737 782 10 137 3 24 2

    300C-1c 0.622529 739 9 133 2 23 2

    300C-1d 0.603122 754 11 119 3 290 30

    300C-1e 0.577538 870 11 121 3 33 4

  • 19

    Table 5. Time RHX parameters for RLG 014

    Sample

    RLG 014

    Nominal

    Mass m410

    5[g/g] 105[(g/g)/h1/4] Age/year

    100C-1 0.659297 252 8 55 3 685 27

    300C-1a 0.622409 257 5 59 1 34 9

    300C-1b 0.656815 336 12 35 2 9 1

    300C-2a 0.458795 237 7 59 2 600 200

    300C-2b 0.682371 200 6 62 2 15 3

    300C-3a 0.629391 242 6 11 4 157 23

  • 20

    Figure 1. X-Ray diffraction results for each parent sherd.

  • 21

    Figure 2. RHX mass gain and RHX rate of RLG 019. After drying at 110C (100C-1) and 300C,

    they were fired at 500C for 1, 2, or 3 days samples denoted as 300C -1a(b), 300C -2a(b), 300C -3a(b), respectively.

  • 22

    Figure 3. RHX mass gain and RHX rate of RLG 024. After drying at 110C (100C-1) and 300C,

    they were fired at 500C overnight samples denoted as 300C-1 (a, b, c, d, e)).

  • 23

    Figure 4. RHX mass gain and RHX rate of RLG 007. After drying at 110C (100C-1) and 300C,

    they were fired at 500C overnight, which was denoted as 300C-1 (a, b, c, d, e)).

  • 24

    Figure 5. RHX mass gain and RHX rate of RLG 014. After drying at 110C(100C-1) and 300C,

    they were fired at 500C for 1, 2, 3 days, which was denoted as 300C -1a(b), 300C -2a(b), 300C

    -3a respectively.