ISOTOPIC provides a practical solution to a wide range of gamma-ray radiation measurement problems encountered in site characterization and waste container measurements. The easy-to-use software is based on work done originally at several U.S. Department of Energy (DOE) sites in the analysis of thousands of fissile waste containers and in methods developed at the U.S.

Energy Measurements Laboratory (EML-NYC) for measuring wide-area contamination of soils and surfaces. ISOTOPIC operates under the latest 64-bit operating systems, and supports the vast majority of ORTEC spectroscopy hardware offerings. In particular, ISOTOPIC forms the software element of the exciting ISO-CART-85 mobile low level waste assay system. ISOTOPIC places emphasis on practicality, flexibility and defendability of results through the use of traceable calibrations.

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ISOTOPIC provides an integrated, practical solution to a wide range of gamma-ray measurement problems encountered in radioactive waste assay and characterization applications. High resolution, high purity germanium (HPGe) spectra are analyzed and assay results determined for large-scale bulk samples. ISOTOPIC can be used “out of the box” as part of a simple to operate mobile system, such as an ORTEC ISO-CART-85 or it can be integrated into an automated system, for example, for high throughput measurements of large containers in decommissioning projects.

Applicability The following geometries are easily accommodated: • Boxes, Drums, Pipes or Surfaces (collimated detector) • Close Geometry small containers (e.g. Bottles on-endcap) • Wide Area Assay of Soils and Surface (uncollimated detector: M-1 methodology) ISOTOPIC provides a number of standard geometry 'templates' from which a specific measurement configuration may be developed. These include cylinders (from top and side; including lined cylinders (pipes)), boxes, point source (far field), close geometry small containers on-endcap, and infinite plane. The bottle counting option on the ISO-CART-85 is an example of an “on-endcap” close geometry. The infinite plane (soils) mode provides uncollimated measurement of contamination, fall out or wide area spills, either washed into or on top of an infinite plane surface, most typically soil on the ground.

Methodology In container mode, for the counting of packages, pipes and surfaces, the detector is characterized by a single point-source measurement, even when a collimator is to be used. This primary calibration, which can be traced to a certified standard, for any detector, is extrapolated or modeled to match the physical situation of the sample; container geometry, material, and matrix composition. The model is based on 'point-kernel' methods in which the entire measurement problem is broken down into multiple source/matrix voxels and their contribution to the composite spectrum are calculated and summed.

The approach, which is similar to Monte-Carlo Methods, utilizes detector parameters (crystal diameter, crystal length, dead layer, and end cap thickness) which the user supplies as part of the measurement configuration. No special separate measurements are needed to characterize the detector other than one point-source calibration. ISOTOPIC includes improved algorithms for “close geometry” where the detector to container distance is less than 15 cm. For the uncollimated wide-area counting of soils, the '1-meter' methodology developed by the US DOE EML 2 and later extended 3 is used. It is applicable in many situations: • Decontamination assessment of previously used sites • Assessment of nuclides deposited during emergencies • Routine environmental monitoring near nuclear facilities The EML methodology reduces a complex measurement problem to the product of three, simply-determined factors.

The gamma-ray peak areas are related to the nuclide-specific activity by the product of the three factors. These factors have been determined for a range of detector types and soil conditions and are tabulated within the program. The efficiency calibration is determined using the stated efficiency according to the usual ANSI/IEEE 325-1996 convention at 1.33 MeV, and from the crystal length and diameter. For improved accuracy at low energy, the user can use the same calibration used for container mode as an alternate to the EML method. No special (and costly) Monte-Carlo characterizations of the detector are necessary.

The attenuation correction is determined by selection of the soil type and type of nuclide distribution: recent (surface) deposits, older (washed-in) deposits or natural (uniform) deposits. The energy and peak shape calibration are performed using any multiline source and may be entirely automated. However you plan to use ISOTOPIC, there will be no unexpected detector calibration costs. Multiple Measurements of a Single Container In the measurement of any large container of waste, several measurements are usually made from different directions to ensure the best results are obtained.

This will be done sequentially if only one hardware system is available or simultaneously if there is access to multiple sets of hardware. ISOTOPIC can automatically combine the results taken either way by a user-defined weighted average. When multiple detectors are used at the same time, live spectra may be displayed on screen simultaneously from each detector, increasing user confidence. Standard and Custom Reporting ISOTOPIC provides flexibility in reporting within the standard product.

All changeable parameters may be included in the standard output report. Analysis results are stored in an MS Access compatible database, from which they are easily printed or exported for further processing into summary reports. Fully customized reports may be generated through the use of Crystal Reports. Hardware Compatibility ISOTOPIC like all ORTEC CONNECTIONS Applications software products, is compatible with all ORTEC MCA hardware.

In particular, it is ideal for use in conjunction with the IDM-200-V, a complete rugged and portable HPGe spectrometer system which does NOT require the use of liquid nitrogen. Support for Systems Integrators Systems integrators often need to be able to develop automated systems in which the details of hardware control and analysis are largely concealed from a human operator under a software layer which provides a greatly simplified user interface and/or allows unattended operation.

Extensive documentation is provided in the standard user documentation set explaining how the analysis engine may be controlled from a command line along with example material. Analysis parameters and analysis results are saved to an ACCESS compatible database. All necessary file structure information is provided, including the ISOTOPIC database file structures. The spectrum or “SPC” file structures are provided in a separate accompanying manual. ORTEC hardware control is achieved through the so called UMCBI which provides a common API to all supported spectroscopy hardware. A programmer’s toolkit is available as an option to provide instruction to the systems integrator as to how to easily achieve MCA hardware control from his/her own developed program.

Often, the basic ISOTOPIC program is used to set up the system hardware and calibration, and then the system is controlled by the integrator’s application for the routine cycle of operations. With these tools and the level of documentation provided, system integrators can easily develop sophisticated measurement systems. ISOTOPIC In Use ISOTOPIC has two modes: supervisor and operator.

The operator need make choices only from the minimum subset of system options defined by the supervisor. The supervisor mode defines what operations the operator is allowed to carry out. A wizard guides the supervisor through the process of setting up the operator procedures. The wizard presents the parameters on logically grouped screens, with an emphasis on clarity of approach.

The supervisor/operator partitioning means that even semi-skilled operators in the field will collect good data with less wasted time for repeats (lower cost per measured item). Of course a skilled user may choose to run both modes. Supervisor calibrates the system, creates libraries, defines sample geometries, matrices, collimators to be used, and other functions for later use by the operator. Supervisor can also define which features operator may access. The operator main screen, which is customized by the permissions granted by the supervisor, is much simpler than the supervisor screen. In routine use, for container analysis, the operator need only start the acquisition, select the configuration (nearest standard container configuration), and enter the 'book keeping data' such as container ID, type, weight, and the critical measurement data, such as detector-to-container distance.

The standard container configurations and collimator configurations are defined and specified by the supervisor. A container configuration includes the default dimensions, materials, and matrix detail. Any number of these configurations may be specified and recalled by the operator when needed. Analysis Tools Interactive Results Plot When the analysis is complete, the operator can adjust the container/matrix physical parameters (such as matrix density or container wall thickness) to optimize the results by use of the nuclide plot. The plot shows the percentage difference between the corrected measured activity and the activity calculated for the reference peak for each nuclide.

The supervisor selects the reference peak. The operator may optimize the analysis, adjusting the container, matrix, and weight fraction uranium, to refine the results. The visual evidence of a good result is immediately seen when the points from a multi-peaked nuclide are distributed normally about the 'zero-line.' In the case of uranium analysis, if the U-235 enrichment is known, it may be entered and then the U-238 and U-234 values are computed more accurately for samples containing weak uranium activity. Homogeneous and inhomogeneous samples are analyzed with increased accuracy by this method. A good indication that a package contains an inhomogeneous distribution of materials is that the user can obtain a combination of parameters which makes the activity plot flat for some nuclides but not others. This plot can form part of the output report, along with a plot of the spectrum itself.

Field of View Calculator The detector field of view is an important parameter in the measurement. The software algorithm “corrects” or adjusts from what is “seen” in the field of view of the collimator to an assay of the contents of the whole container. In general, the field of view is chosen so that it is filled by container, further back from this will reduce signal to noise in the spectrum, nearer than this makes the measurement more susceptible to localized inhomogeneities (the effects of which can be further minimized by making multiple measurements in different orientations). A convenient field of view calculator allows the operator to assess what portion of the container is actually within the field of view of the collimated detector. Reports When the fine-tuning is finished, the operator selects a report for each nuclide showing the activity and weight. These results may then be printed and archived.

The report files are written in either a database summary or as complete reports showing all input and correction information. Custom reports may be generated by the use of the report generator option. The tabulated components of error estimates can be used to help reduce overall uncertainties, for example, by extending count time or repositioning the detector. The user is also warned if any of the corrections appear to be excessively large. Minimum Detectable Activities (MDA) are calculated for each nuclide. Activities, grams of U or Pu, or MDAs from multiple measurements may be reported as weighted averages. The weighting is user definable.

Accuracy of Results The underlying assumption for a single measurement is that the entire object contains the same matrix and specific activities as the sub-volume which is under measurement. Inaccuracies due to this assumption being incorrect may be reduced by making multiple measurements from different points on the surface of the object and comparing similarities. These comparisons may be used to develop measurement strategies for an individual object, thereby reducing such systematic errors.

ISOTOPIC can provide weighted average reports including the relevant minimum detectable activities, if required. Overall, the major influencers of the accuracy of the achievable results are: statistics and counting time, calibration uncertainty, and the number of replicate measurements carried out on a single object (random uncertainties), inhomogeneity of matrix density and nuclide distribution, and the number of measurements carried out on a single object from different directions (systematic errors). A range of 10 to 50% accuracy should be considered representative, the smaller being for well-defined geometries in homogeneous and light matrices. Analysis Library Manager ISOTOPIC includes a comprehensive library editor for building custom analysis libraries. The editor allows the operator to cut and paste nuclides and peaks from master libraries, add flags to individual peaks for identification (single escape peak, x-ray, or other) and analysis (key line or exclude from activity calculation), and save the library as any name.

It also includes full integration of the Nuclide Navigator library tool. ISOTOPIC will use Nuclide Navigator if installed, and can read Nuclide Navigator libraries in Microsoft Access Database format (no conversion necessary), and save libraries in database format for use by Nuclide Navigator. Quality Assurance ISOTOPIC quality assurance complies with the demands of ANSI N13.30.

For each detector the following are monitored: • Total detector background • Total (decay corrected) activity for all calibration nuclides • Average FWHM ratio (spectrum to calibration standard) • Average FW1/10M ratio (spectrum to calibration standard) • Average peak shift from library values • Actual peak centroid energies Calculational Details Summary of the ISOTOPIC Mode Methodology for Containers The activity of an isotope in a container is given by: where A isotope = activity of the isotope to be reported (Bq/µCi). PA meas = measured peak area count rate for a reference gamma ray of the isotope (c/s). This quantity is determined directly from the spectrum and the acquisition Live Time. If short half life isotopes are present or if sample activities in a flowing sample are varying rapidly, the ORTEC patented ZDT dead-time correction algorithm may prove beneficial.

CF item = container, matrix, and sample self-attenuation correction factors. ISOTOPIC calculates these based on the physical data supplied in the configuration.

CF col = collimator correction factor. Some gamma rays will penetrate any collimator surrounding the germanium detector. The collimator correction factor is heavily dependant on the diameter of the collimator, the depth of collimation, and the wall thickness of the collimator, as well as the angle of the radiation and its energy. The collimator correction factor is determined by computing the fraction of the activity that is not shadowed by the collimator and then computing the penetration length through the collimator for the remaining activity. This is determined for each voxel of the item being measured. If no collimator is present this is set = 1. BR g ray = gamma-ray branching ratio.

This information is contained in the nuclide library. E det = detector efficiency measured using a NIST-traceable point source (cps per Bq, µCi). A typical calibration distance is 30 cm, at which detector and source may be regarded like point objects. At close distances the detector length and diameter dimensions become significant. These dimensions are provided during the calibration process, and the correction to the simple “point detector” assumption is applied automatically. The close geometry correction is described in the ISOTOPIC supervisor manual 1. When gram quantities, Mass isotope, of reported isotopes are needed, these are given by: where N = number of atoms of a reported isotope.

Λ isotope = decay constant of a reported isotope (sec –1). At = atomic number of the measured isotope (g/Av). Av = Avogadro’s number. Result Averaging of Multiple Measurements When results of multiple measurements are combined, a weighted average is calculated according to: A average = ∑ A i w i/∑w i where A i = individual activity (gram or MDA) results. W i = user-defined weighting factors.

Methodology for Soils The specific activity, A (Bq/m 2 or Bq/g) is related to the net peak count rate N f by: where N f /N 0= angular correction factor of the detector at that energy for a given source distribution in the soil. N 0 /Φ = peak count rate per unit uncollided flux for a parallel beam of gamma rays of the peak energy that is incident normal to the detector face (cpm/ γ s –1). Φ/A= total uncollided flux at the peak energy arriving at the detector per unit inventory or concentration of the nuclide in the soil ( γ cm –2 s –1) or ( γ g –1 s –1). The method of estimating calibration factors uses information about the detector and the distribution(s) of radionuclides being measured: • Detector Efficiency (expressed as%) • Detector Orientation (up or down) • Detector Aspect Ratio (calculated as crystal length/crystal diameter) • Deposition Profile Parameter α/ρ value(s) α/ρ is assumed to be 0 (for uniform distribution) for all natural emitters. Α/ρ is assumed to be infinite (for surface only distribution) for fallout on undisturbed soil. Beck’s method is implemented in ISOTOPIC by calculating values for each of the calibration parameters. The calculation is carried out for each gamma ray of all the nuclides identified.

1Hagenauer, R.C., 'Nondestructive Assay Quantification of Poorly Characterized Radioactive Isotopes,' Proceedings of the 4th Nondestructive Assay and Nondestructive Waste Characterization Conference, Salt Lake City, 1995. Beck, et al., 'In Situ Ge(Li) and NaI(Tl) Gamma Ray Spectrometry,' U.S. Of Energy, Environmental Measurements Laboratory, HASL-258, September (1972). Helfer and K.M. Miller, 'Calibration Factors for Ge Detectors Used for Field Spectrometry,' Health Physics, Vol.

1, pp 15–29 (1988). 4NPL Nuclear Industry Proficiency Test Exercise 2012. NPL Report IR 30 2013 (UK National Physical Laboratory). ORTEC system was participant number 9. 5For use in M-1 mode for soil characterization, an HPGe with crystal length/diameter in the range of 0.5 to 1.3 is recommended.

80% of HPGe detectors meet this criterion. The ORTEC PROFILE M Series detectors are ideal for this and the ISOTOPIC container measurements. • Specifications +. General The acquisition control and quantitative analysis functions are integrated into a concise package for use in PC-based in situ gamma spectroscopy systems for the determination of radioactive content of containers, objects, surfaces, and soils. Operating System Windows 7 64-bit hardware compatibility is available for all ORTEC instruments that use USB and TCP/IP connectivity. These instruments, as well as other legacy hardware, are also supported with Windows 7 and XP 32-bit operating systems.

Spectroscopy Hardware Support ISOTOPIC is recommended for use with the ORTEC IDM-V-200 Integrated HPGe Spectrometer. However, all ORTEC MCBs (past and present) and all other devices supported by ORTEC CONNECTIONS are compatible.

Support is built-in for advanced operations (where provided in hardware): amplifier gain/shaping control, Auto-PZ, 'optimize' and InSight™ mode, digiDART field mode, graphical setting of MCB spectrum stabilizer and statistical uncertainty peaks. Specifically, the IDM-200-V is recommended for in situ measurements. File Formats Supported ORTEC.SPC and.CHN, and ASCII '.SPE' are supported as standard in file save, recall, and compare functions. Other file formats may be imported by the use of A49-B32 Data Master. Quantitative Spectrum Analysis Methods Peak Search Peak Search by library direction for specified nuclides, plus Mariscotti peak search for non-specified nuclides, both main library and supplemental ('suspect') library are used. Interactive Bulk Sample Parameter Adjustments Interactive Matrix and container adjustments and automatic attenuation correction for new matrix.

Easy to use graphical display of relative analysis results to show the best matrix. Deconvolution Method Both peak finder and library are used to direct the deconvolution process. Automatic recalibration of Energy/channel based on identified peaks where possible. Choice of Detection Limit Formalisms • ORTEC Traditional • ORTEC Critical Level • No MDA (report zeros if less than MDA) • KTA Rule • Detection Limit 2 sigma — Japan • Detection Limit 3 sigma — Japan • Currie Limit • RISO MDA • ORTEC LLD • Peak Area • Air Monitor — Gimrad method • Reg. Guide 4.16 Method • Counting Lab — USA • DIN 25 482.5 Erkennungsgrenze • DIN 25 482.5 Nachweisgrenze • GTN5/CEA/EDF (France) • Nureg 0472 Decay Corrections • Decay correct to any date/time, either back or forward Spectral Corrections • Peaked Background Correction • Random summing (high-rate counting losses) • Library-based peak interference correction Reporting Choose any ORTEC Standard report option: • Direct to printer • Automatically written to database • Crystal Report formatted output • Report in HTML format. From there it can be saved as a disk file. Calibration Energy Calibration • Multipoint, quadratic for energy and FWHM • Automatic Energy Calibration (Patent No. Super Mario Game Full Version Free Download For Windows 7 there.

6,006,162) Semi-Empirical Efficiency Calibration Fit Options: ISOTOPIC Mode A point source calibration is established via one of the following methods: • Single Function Polynomial (x-Point) • Interpolative above and below 'knee' • Quadratic above or below user-set 'knee' • Linear above or below user-set 'knee' The point source calibration is extrapolated to the physical geometry-matrix situation via point-source Kernel calculations internal to the program. Infinite Plane Mode (for Soils and Surfaces: Uncollimated Detector) The Beck 2 1-meter methodology, with extension to large detector sizes 3, as used by US DOE Environmental Measurements Laboratory (EML). The EML methodology is used to produce an efficiency curve based on detector dimensions and IEEE efficiency value. The soil density and attenuation is specified in user-editable alpha/rho files. Soil Attenuation Factors In soil, attenuation depends on the soil thickness and density, which is modeled by the parameter α/ρ (where α is the reciprocal of the relaxation length, defined to be the soil thickness required to reduce the flux at a particular energy by a factor of e, and ρ is the soil density in gm/cc).

For a surface distribution α/ρ is infinite, while for uniform (natural emitters) distribution, alpha/rho is 0. Values of α/ρ ranging from 0.05 to 0.5 have been found to describe realistic fallout distributions accurately, the more aged fallout being represented by the smaller α/ρ values. The α/ρ values are nuclide-specific and are stored in a table which may be edited by the user to reflect the measurement conditions. • Ordering Information +.

Abstract Photosynthetic carbon isotope composition (δ 13C) was measured on sugars in mature fruits from field‐grown grapevines. Sugar δ 13C and summer predawn leaf water potential were significantly correlated. The survey of different vineyards during four growing seasons showed that sugar δ 13C in must at harvest varied from −20‰ to −26‰ when conditions during berry maturation varied from dry to wet. This range allows a very sensitive detection of grapevine water status under natural conditions.

However, local differences due to soil capacity to supply water to grapevines are maintained, whatever the annual water balance. Leaf nitrogen content variations of field‐grown grapevines did not change δ 13C values. Genetic variability of δ 13C between 31 grapevine varieties for δ 13C was observed. Must sugar δ 13C can be used to characterize vineyards for their soil structural capacity to provide water to grapevines. It was concluded that isotope carbon composition in grapevine measured on sugars at harvest can be applied to compare the capacities of vineyard soils and canopy management to induce mild water stress in order to produce premium wines. Where Rs is the 13C/ 12C ratio of the sample and Rb is the 13C/ 12C of the PBD Standard.

The isotopic composition of atmospheric CO 2 gives a δ 13C equal to −8‰ (). Statistical comparisons were done with Excel (Microsoft) and Systat 10 (SPSS Inc.) software. Analytical precision was estimated with replicates of a single sample.

One single measure on a sample can estimate the mean δ 13C value better than 0.15 unit of isotope composition (. Mean plot water balance during the growing season (May–August) and the fast berry growth phase (July–August), and mean δ 13C measured on sugars from berries harvested at maturity in the Saint Emilion vineyard (three varieties, and two soils) Water balance was calculated according to the equation: [ Rainfall−0.5×( Potential evapotranspiration)] in mm of water). R 2 is correlation between δ 13C and the calculated water balance from meteorological data; figure in brackets is probability of no correlation. Genetic variability of grapevine carbon isotope content The ANOVA analysis of δ 13C recorded on the Saint Emilion vineyard reveals a significant variety effect and a significant variety×year interaction (Table 1). A pairwise comparison with the Bonferroni test showed that the Merlot variety response was significantly different ( P.

Leaf nitrogen content at veraison, dry weight of winter pruned wood, yield and δ 13C in berry sugars at harvest (cv. Merlot grafted on Fercal) Grapevines were grown in the INRA experimental domain of Chateau Couhins in 1999 in a long‐term soil tillage trial testing soil nitrogen availability effects and grapevine N nutrition.

Soil treatments were, respectively, tillage, and 25% and 50% of the soil covered by Festuca grass. Treatment effects on nitrogen in leaves, growth and δ 13C were tested by analysis of variance and Bonferroni test. Different letters indicate means differ with 99% confidence, nine repetitions for each soil treatment.

Discussion Precision, and ecological use of δ 13C This work has shown that carbon isotope composition can be measured with good precision and allows a comparison of the effect of water stress response on grapevines. Basically δ 13C is related to the ratio of intercellular and atmospheric CO 2 concentration ( C i/ C a) and water use efficiency and it is well documented that water stress changes water use efficiency and carbon isotopic composition. While low nitrogen nutrition has been shown to reduce C i/ C a in pine and oak leaves and increase the δ 13C value (), in grape no significant nitrogen effect was observed on δ 13C, at least in the range of variation of leaf nitrogen content observed in the trial (Table 4). Therefore it can be suggested that most of the δ 13C change observed in field‐grown grapevines was related to water stress. Grape sugar is mainly composed of glucose and fructose, produced after sucrose hydrolysis by invertase during grapevine maturation (). Sugars are stored from the beginning of maturation (veraison) to full maturity, reaching at that time a concentration higher than 1 M l −1. This period of development lasts approximately 45 d from the beginning of August to the end of September depending on variety and location.

Sugar carbon at harvest is a large carbon pool without turnover. It can be easily sampled to measure δ 13C of primary photosynthetic products during maturation. Carbon remobilization would interfere by providing carbon previously stored. Under normal growing conditions, however, remobilization is unlikely as it has been shown that a significant amount of carbon is only remobilized to supply berries after major leaf removal (). A significant correlation between δ 13C measured in sugars of ripe berries, and plant water status measured by minimum predawn leaf water potential was demonstrated for field‐grown grapevines.

However, occasional predawn leaf water potential is not a reliable measure of the long‐term water status of field‐grown plants submitted to uneven rainfall. How To Download Dropbox Files With Idm. The integration of the water stress cannot simply be assessed by computing the mean of several changing predawn leaf water potentials during a period of interest because plant stress response is not additive or linearly related to the environmental stress intensity. Moreover, it has been shown that predawn leaf water potential did not reveal moderate water stress as did stem water potential ().

The scatter of data around the relationship between Ψ min and δ 13C reported in Figs 2 and 3 can be ascribed to some extent to the inaccuracy of predawn leaf water potential as a measure of mean plant water status. Therefore, δ 13C composition in berry sugars is proposed as a potent indicator of grapevine water status during maturation, not only for ecophysiological research but also for practical application in commercial vineyards to improve training systems. All the data collected over four seasons in various locations showed a range in sugar δ 13C from −20‰ to −26‰. This range is large considering the precision of the measure (error.