PATTERN SHAPE EVALUATION DEVICE, PATTERN SHAPE EVALUATION SYSTEM, AND PATTERN SHAPE EVALUATION METHOD

To evaluate line edge roughness or line width roughness while suppressing influence of a noise due to a device and an environment.SOLUTION: An averaged signal profile 405 is obtained by taking a moving average of S pixels (S is an integer greater than 1) in the Y direction from a signal profile indi...

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Bibliographic Details
Main Authors KAWASAKI TAKAHIRO, KAWADA HIROKI, IKODA MASAMI, SHINTANI ATSUKO, HASUMI KAZUHISA
Format Patent
LanguageEnglish
Japanese
Published 02.04.2020
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Summary:To evaluate line edge roughness or line width roughness while suppressing influence of a noise due to a device and an environment.SOLUTION: An averaged signal profile 405 is obtained by taking a moving average of S pixels (S is an integer greater than 1) in the Y direction from a signal profile indicating a secondary electron signal amount distribution in the X direction with respect to a predetermined Y coordinate obtained from the top-down image. Then, an edge position 406 of a line pattern is extracted on the basis of the averaged signal profile, and a noise floor height is calculated on the basis of a first power spectrum density 407 of the LER data or LWR data based on the extracted edge position, and a second power spectral density 409 of a rectangular window function corresponding to the moving average of the S pixels.SELECTED DRAWING: Figure 4 【課題】ラインエッジラフネスあるいはライン幅ラフネスを、装置や環境に起因するノイズの影響を抑えて評価する。【解決手段】トップダウン画像から得られる所定のY座標に対するX方向の二次電子信号量分布を示す信号プロファイルをY方向にS画素(Sは1より大きい整数)の移動平均をとった平均化信号プロファイル405を求め、平均化信号プロファイルに基づきラインパターンのエッジ位置406を抽出し、抽出したエッジ位置に基づくLERデータまたはLWRデータの第1のパワースペクトル密度407と、S画素の移動平均化に対応する矩形窓関数の第2のパワースペクトル密度409とに基づき、ノイズフロア高さを計算する。【選択図】図4
Bibliography:Application Number: JP20180178430