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Dr.LiTHO - a development and research lithography simulator

 
: Fühner, T.; Schnattinger, T.; Ardelean, G.; Erdmann, A.

:

Flagello, D.G. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Optical microlithography XX. Vol.3 : 27 February - 2 March 2007, San Jose, California, USA
Bellingham, WA: SPIE, 2007 (Proceedings of SPIE 6520)
ISBN: 0-8194-6639-5
ISBN: 978-0-8194-6639-6
Paper 65203F
Conference "Optical Microlithography" <20, 2007, San Jose/Calif.>
English
Conference Paper
Fraunhofer IISB ()

Abstract
This paper introduces Dr.LiTHO, a research and development oriented lithography simulation environment developed at Fraunhofer IISB to flexibly integrate our simulation models into one coherent platform. We propose a light-weight approach to a lithography simulation environment: The use of a scripting (batch) language as an integration platform. Out of the great variety of different scripting languages, Python proved superior in many ways: It exhibits a good-natured learning-curve, it is efficient, available on virtually any platform, and provides sophisticated integration mechanisms for existing programs. In this paper, we will describe the steps, required to provide Python bindings for existing programs and to finally generate an integrated simulation environment. In addition, we will give a short introduction into selected software design demands associated with the development of such a framework. We will especially focus on testing and (both technical and user-oriented) documentation issues. Dr.LiTHO Python files contain not only all simulation parameter settings but also the simulation flow, providing maximum flexibility. In addition to relatively simple batch jobs, repetitive tasks can be pooled in libraries. And as Python is a full-blown programming language, users can add virtually any functionality, which is especially useful in the scope of simulation studies or optimization tasks, that often require masses of evaluations. Furthermore, we will give a short overview of the numerous existing Python packages. Several examples demonstrate the feasibility and productiveness of integrating Python packages into custom Dr.LiTHO scripts.

: http://publica.fraunhofer.de/documents/N-81446.html