Process Quick Start

overview after a measurement, the results may be displayed, the data further reduced (e g , assigning minerals to un identified spectra), and results cal culated and exported using amics process depending on the task, the following steps may be employed reclassify data using newly added mineral definitions or a different ore type apply the spectrum tree to refine classification create mineral groups delete artefacts extract calculated results in tabular or graph format apply batch classification and calculation to multiple files export a spectrum for quantification export the image as bmp, tiff, or png file classification approach classification and reclassification is an iterative process that involves building a classification method over time quick start steps what follows is the steps to get started with amics for the absolute beginning we are assuming that you are starting with no prior knowledge of your specimen and no pervious classification methods this simple over is simple unrealistically so we suggest that after thinking about this you open one of our pre classified datasets in the example datasets docid\ gi6r7vyqn0p5tqc7tiuad page and explore all of the content window tabs docid\ gnjqxo5fyteuaasxwnebf once you have explored the content move onto data reduction workflow docid 0k7ynw0jwouof8govjubk for a full, in depth, exploration of the main amics workflow step 1 open the measurement and review the results amics investigator may have applied a classification method cycle through the images by clicking the mineral / bse/ button on the main ribbon explore by zooming in and out of the dataset step 2 make a new workflow this will be a database that will contain materials library docid\ jhtlm5raiyok8xrviokxu classification steps docid\ rd7wulft87 yrrrby5xan , touch up steps docid\ no1zj3kwsfbjrg313fnjm , and groupings docid 7g8kfjxxwbsbzti8lci3t make sure to give this database a name that reflects the geologic system or material that amics will be characterizing it is also best practice to include the excitation settings used, as each method will be unique to the excitation source (xrf or e beam), excitation voltage, and to a lesser extent current and dwell time from amics process activate the references ribbon select new workflow give the workflow a name go to the classification tab select the new empty workflow step 3 stitch the image use the mosaic field adjustor docid\ o4w qo9pm34s0k hvv1mg tool processing ribbon the "moasic" tool is used to stitch the moasic activate the moasic mode this will turn on the field boundries and manual movement options click on the moasic button sub menu on the ribbon to select "do field adjustt" to stitch by rows and columns and adjust settings or to "do auto field adjust" to apply automatically turn off moasic field adjust to lock in the new stitch and save to the file turn off the filed boundries step 4 find a unknown and add it to the library we will use one method for adding unknowns using seed seaching docid\ nixjgev mpdn3qeet9wzz and use spectrum matching docid\ tsdcmrz kbajvrsw il7g to the global material library docid\ t6sehy jvkd5g 7o zypt database turn on the x ray points from the processing ribbon find an unknown with a spectrum that looks acceptable (not too noisy, >1500 counts) right click and select "generate mineral refrence spectra" this will search the entire measurement for similar spectra and combine them togather to a target of 10,000 counts alternate select more than one spectra that seem the same this can be done by holding the shift key and dragging rememeber, if the segment is select it will select a single x ray grain and particle layers will select all x rayes in that layer from this the user can select "generate mineral refrence spectrum from selected" and a sum spectra will be generated a new refrence spectra will appear in the classification tab with the empty workflow select the "refrences" tab to open the global library you can search either the global database docid 7ro b5egkwppjjewfkibg or the user database docid\ xwkd3v3qlut1ra l1qyvf click the unknown material to activate it search the database use your understandiong of the mineral contect and the simulated refrence spectrum to compare and unknowns to knowns right click the best match and select to add the name and infomration this will copy over the mineral name and it's physical and chemcial properities repeatwe this process to add several more materials to the database step 5 apply reclassification the classificaiton can be applied to the open sample by openming the reclassification dialog from the processing ribbon this will apply the classification workflow docid\ sqje5moczy6wvwfnucfy1 in thefollowing order spectrum matching docid\ tsdcmrz kbajvrsw il7g in three steps each material defination is defined as either high normal (default), or low priority the matching threashold can be set for each group in the preform reclassificaiton workflow dialog box spectrum tree steps designed in the spectrum tree tab docid\ kbj1vfvvvp1hmrkbkk92o steps that apply spectrum classificaiton spectrum tree methods docid\ ey 6gbloq2pinuevb95uu touch up steps docid\ no1zj3kwsfbjrg313fnjm designed on the touch up workspace docid\ rzhxg6vnvkgvinmdpkm0 apply any exsiting groupings docid\ ktrscv69giswzgzwmgjiv step 6 review results open the calculation tables tab docid aqtjdzmushqruecjuegl or calculation charts tab docid 7burzzroderlzdetuoin2 tp review the results step 7 next steps repeat steps until the percentage of unknowns is low enough to meet your high standards! apply batch processing workflows docid\ i8ity9huhvyprzgjduzfe to classify the generate dashabords and reports in amics reports docid\ sz1z50d9ihsh0suprvszp further reading