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Dive into the research topics where Boris Golovanevsky is active.

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Featured researches published by Boris Golovanevsky.


IEEE Transactions on Semiconductor Manufacturing | 2004

Optimized overlay metrology marks: theory and experiment

Mike Adel; Mark Ghinovker; Boris Golovanevsky; Pavel Izikson; Elyakim Kassel; Dan Yaffe; Alfred M. Bruckstein; Roman Goldenberg; Yossi Rubner; Michael Rudzsky

In this paper, we provide a detailed analysis of overlay metrology mark and find the mapping between various properties of mark patterns and the expected dynamic precision and fidelity of measurements. We formulate the optimality criteria and suggest an optimal overlay mark design in the sense of minimizing the Cramer-Rao lower bound on the estimation error. Based on the developed theoretical results, a new overlay mark family is proposed-the grating marks. A thorough testing performed on the new grating marks shows a strong correlation with the underlying theory and demonstrate the superior quality of the new design over the overlay patterns used today.


Proceedings of SPIE, the International Society for Optical Engineering | 2007

Differential signal scatterometry overlay metrology: an accuracy investigation

Daniel Kandel; Mike Adel; Berta Dinu; Boris Golovanevsky; Pavel Izikson; Vladimir Levinski; Irina Vakshtein; Philippe Leray; Mauro Vasconi; Bartlomiej Salski

The overlay control budget for the 32nm technology node will be 5.7nm according to the ITRS. The overlay metrology budget is typically 1/10 of the overlay control budget resulting in overlay metrology total measurement uncertainty (TMU) requirements of 0.57nm for the most challenging use cases of the 32nm node. The current state of the art imaging overlay metrology technology does not meet this strict requirement, and further technology development is required to bring it to this level. In this work we present results of a study of an alternative technology for overlay metrology - Differential signal scatterometry overlay (SCOL). Theoretical considerations show that overlay technology based on differential signal scatterometry has inherent advantages, which will allow it to achieve the 32nm technology node requirements and go beyond it. We present results of simulations of the expected accuracy associated with a variety of scatterometry overlay target designs. We also present our first experimental results of scatterometry overlay measurements, comparing this technology with the standard imaging overlay metrology technology. In particular, we present performance results (precision and tool induced shift) and address the issue of accuracy of scatterometry overlay. We show that with the appropriate target design and algorithms scatterometry overlay achieves the accuracy required for future technology nodes.


Metrology, Inspection, and Process Control for Microlithography XVII | 2003

Overlay metrology simulations: analytical and experimental validations

Joel L. Seligson; Boris Golovanevsky; Jorge M. Poplawski; Michael E. Adel; Richard M. Silver

We have previously reported on an overlay metrology simulation platform, used for modeling both the effects of overlay metrology tool behavior and the impact of target design on the ultimate metrology performance. Since our last report, the simulation platform has been further enhanced, consisting now of eleven PCs and running commercial software both for lithography (PROLITH) and rigorous Maxwell calculations (EM-Suite). In this paper we report on the validation of the metrology simulations by comparing them to both analytical calculations and to experimental results. The analytical validation is based on the classical calculation of the diffraction of a polarized plane wave from a perfectly conducting half plane. For the experimental validation, we chose an etched silicon wafer manufactured by International SEMATECH (ISMT) and characterized at National Institute of Science and Technology (NIST). The advantages of this wafer are its well known topography and its suite of different metrology targets. A good fit to both analytical and experimental results is demonstrated, attesting to the capabilities of our enhanced simulation platform. The results for both the analytical and experimental validations are presented.


Metrology, inspection, and process control for microlithography. Conference | 2002

Overlay metrology simulations

Joel L. Seligson; Michael Friedmann; Boris Golovanevsky; Vladimir Levinsky

In order to control and minimize overlay metrology errors, we have to deal with a number of design parameters both in the metrology tool domain and in the overlay target domain. For enhancing the rate of performance improvement vs. technology investment, simulation can be used for modeling both the effects of overlay metrology tool behavior and the impact of target designs on the ultimate metrology performance.


Archive | 2003

Overlay metrology and control method

Michael E. Adel; Mark Ghinovker; Elyakim Kassel; Boris Golovanevsky; John C. Robinson; Chris A. Mack; Jorge M. Poplawski; Pavel Izikson; Moshe E. Preil


Archive | 2006

Measuring overlay and profile asymmetry using symmetric and anti-symmetric scatterometry signals

Daniel Kandel; Kenneth P. Gross; Michael Friedmann; Jiyou Fu; Shankar Krishnan; Boris Golovanevsky


Archive | 2013

PHASE CHARACTERIZATION OF TARGETS

Amnon Manassen; Ohad Bachar; Daria Negri; Boris Golovanevsky; Barak Bringoltz; Daniel Kandel; Yoel Feler; Noam Sapiens; Paykin Irina; Alexander Svizher; Meir Aloni; Guy Ben Dov; Hadar Shalmoni; Vladimir Levinski


Archive | 2008

MULTICHIP CCD CAMERA INSPECTION SYSTEM

Boris Golovanevsky


Archive | 2006

Flexible scatterometry metrology system and method

Daniel Kandel; Michael E. Adel; Joel L. Seligson; Boris Golovanevsky


Archive | 2004

Verfahren zum erkennen von überlagerungsfehlern mittels scatterometrie

Walter D. Mieher; Ady Levy; Boris Golovanevsky; Michael Friedmann; Ian Smith; Michael E. Adel; Anatoly Fabrikant; Christopher F. Bevis; Noah Bareket; Kenneth P. Gross; Piotr Zalicki; Dan Wack; Paola Dececco; Mark Ghinovker; Noam Knoll; Baruch Moshe

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