-
IFES 2012
Tuscaloosa, AL,
May 21, 2012
-
Lehigh Microscopy School
Lehigh University, Bethlehem, PA,
Jun 03, 2012
-
EBSD 2012
Carnegie Mellon University, Pittsburgh, PA,
Jun 19, 2012
-
Microscopy & Microanalysis 2012
Phoenix, AZ,
Jul 29, 2012
-
CORALS-2013
Vienna, Austria,
Jul 03, 2013
-
Microscopy & Microanalysis 2013
Indianapolis, IN,
Aug 04, 2013
|
- Info
Nicholas Ritchie - Spectrum Simulation
What Spectrum Simulation Can Teach You about X-ray Microanalysis
 |
Nicholas Ritchie
NIST
Gaithersburg, MD
|
| |
|
Abstract
Spectrum simulation can be an incredibly powerful instructional tool for x-ray microanalysis.
In addition to being able to teach the basics such as how x-ray generation depends upon beam energy,
geometry and composition, spectrum simulation can also be used to investigate more advanced questions.
Simulated spectra can help to understand limits of detection or how to quantify multilayer samples.
NIST DTSA II, a multi-platform (Windows/Linux) Java 1.6 application inspired by the original highly-popular
Mac-based (OS 9 and earlier) NIST DTSA is an excellent platform for learning microanalysis in either a
classroom setting or on your own. DTSA II provides multiple ways to simulated spectra from bulk, films or
particles plus a set of tools for performing classic standards-based energy dispersive microanalysis.
Each participant will be provided with a copy of DTSA II for use during the workshop and for use on their own
later. Participants are encouraged to bring their own computer to the workshop and follow along / experiment
as microanalysis is taught through a series of simulated examples.
Biography
Nicholas Ritchie received bachelor's degrees in physics and mathematics from Trinity College, Hartford CT
and a doctorate in experimental atomic physics from Rice University. Soon thereafter he joined RJ Lee
Instruments (which became ASPEX, LLC) where he worked in R&D developing, among other things, the Perception
software package for their flagship Personal SEM product. Here he developed an interest in high speed
particle analysis by automated SEM/EDS, data mining large particle data sets and microanalysis with moderate
count statistics. In 2004, he joined the National Institute of Standards and Technology (NIST) Microanalysis
Research Group where he continues to do particle analysis and has branched into Monte Carlo spectrum simulation.
|
|
|
|