Camecaeval

From Eigenvector Research Documentation Wiki
Revision as of 09:25, 29 September 2009 by imported>Scott (New page: ===Purpose=== Assess information in each mass in a Cameca Ion-Tof file. ===Synopsis=== :ev = camecaeval(filename,options) ===Description=== CAMECAEVAL helps with analysis of Ion-TOF files ...)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Purpose

Assess information in each mass in a Cameca Ion-Tof file.

Synopsis

ev = camecaeval(filename,options)

Description

CAMECAEVAL helps with analysis of Ion-TOF files which may be too large to read in as a single file. Given the name of a Cameca Ion-TOF .bif file, CAMECAEVAL evaluates each mass stored in the file based on the CODA_DW Durbin-Watson criteria. The smaller this value, the less random the information in the variable. The resulting values can be used to help determine which masses to discard due to low signal to noise. Output is a sorted matrix (eval) containing a row of masses contained in the file (row 1) and the CODA_DW score for each of those masses (row 2). The matrix is sorted from lowest (best) CODA_DW score to highest (worst) score. For example, to read the top 10 mass channels (that is, the 10 mass channels with the least random - probably most interesting - information), you should pass the first 10 columns of row 1 of (eval) to camecard.

Options

options is a structure is a structure array with the following fields:

  • plots : [ 'none' |{'final'}] governs plotting by function.

Examples

ev = camecaeval('myfile.bif'); data = camecard('myfile.bif',ev(1,1:10)); %grab top 10 mass images

See Also

camecard, coda_dw, durbin_watson