Optimum design of optical filters and deposition monitoring methods Dimitris Kouzis - Loukas Supervisor: S. Maltezos Support: M. Fokitis.

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Presentation transcript:

Optimum design of optical filters and deposition monitoring methods Dimitris Kouzis - Loukas Supervisor: S. Maltezos Support: M. Fokitis

Contents Multilayer Notch Optical Filters Applications Optimum design Deposition processes Monitoring techniques Conclusion and future work

Why is this an interesting technology? It requires knowledge of several different sciences –Optics –Electronics and computer science –Automatic control –Mathematics and optimization algorithms Relevant methods also apply –Deposition of Integrated Circuits Interesting commercial applications Lack of knowledge in Greece and worldwide

Multilayer Notch Optical Filters Their structure Mathematical models

Categories Multi layer thin films Rugate filters

Multi layer thin films

Mathematical models

Applications (1/2) Remote Sensing Avionics Gas Analysis Emission Analysis Environmental Monitoring Forgery detection

Applications (2/2) Spectroscopy Machine Vision Raman Spectroscopy Space Based Research & Astronomy Medicine - Biology Colour Correction Optics and ophthalmic lenses

Dense Wavelength Division Multiplexers

Optimum design

The problem that has to be solved

Local and global minimum/maximum

Trapped in a local maximum

Complexity of multiple dimensions

Optimization techniques for multivariable functions Gradient Simplex Needle Damped lest-squares Fuzzy logic Genetic algorithms Simulated annealing

Simulated annealing (1/2) Problem independent algorithm Inspired from the equivalent physics problem Monte Carlo technique Algorithm Better solutions get immediately accepted Worse solutions get accepted according to the metropolis criterion:

Simulated annealing (2/2)

Results 50 layer bandpass filter (SiO 2 και TiO 2)

Other applications of these algorithms Alignment of set-ups Financial sciences Pattern matching - recognition Image recognition Fit of complex models – parameters estimation Optimum route for VLSI design and CAD

Deposition Methods

Sputtering deposition schematic

Sputtering deposition system

Sputtering techniques Thermal Evaporation (Soft Films) –Old fashioned technology Electron Bombardment –Widely accepted technology Ion-Assisted Bombardment –Cold evaporation –Can be applied to lenses

Control techniques What has to be monitored Control methods and evaluation Experimental setup Experiment’s results

What has to be monitored Real - time control –Optimization of coating process –Feedback – control –Early error detection and possible repair Post product control –Evaluation of the product –Life-cycle estimate –Physical characteristics

Control methods and evaluation (1/2) Indirect control –“Blint” method –Sensors have to be calibrated often Pressure control –Dangerous –Less reliable Quartz crystal –Limited precision –Crystals need to be replaced after some depositions

Control methods and evaluation (2/2) Single band monitoring –Average precision –Good results Wide band monitoring –Best precision –High quality filters –Direct monitoring of spectrum characteristics

Experimental setup

Photodiode array

Ηλεκτρονικά της διάταξης

Data acquisition software Matlab version LabVIEW version

Monitoring algorithm

High quality optical filters Telecommunications Highest Energy Cosmic Ray Experiments –AUGER –EUSO Trigger of fast scintillators

Experimental setup

Spectrum of a single laser beam (used for calibration)

Demo spectrums

Conclusions Design and deposition of high quality optical filters for special applications is feasible It can be further improved by simulating and monitoring the forces of the substrate

Future work Integration of the setup into a single compact design Use the setup to certify – evaluate commercial deposition machines Development of state of the art commercial applications

Thank you

Appendix

ITU Frequency Grid ITU: International Telecommunication Union

Multidimensional optimization

Block diagram