Abstract:
Long-period roughness in patterned resist is reduced in a manufacturing process of a sample such as a semiconductor device. A method for processing a sample to be processed, with patterned resist, in a sample processing apparatus includes: disposing the sample to be processed, with the patterned resist on the stage in the processing chamber; supplying silicon tetrachloride (SiCl4) or hydrobromide (HBr) into the processing chamber as processing gas; holding the pressure of the processing chamber in the range of 1 Pa to 10 KPa; exciting the processing gas by irradiating the vacuum ultraviolet light having a wavelength of 200 nm or less to the processing gas; reacting an element contained in the excited processing gas with the pattern resist of the sample, and curing the resist.
Abstract:
According to an embodiment of the present invention, a plasma processing apparatus includes: a processing chamber in which plasma processing is performed to a sample; a radio frequency power source that supplies radio frequency power for generating plasma in the processing chamber; and a data processing apparatus that performs processing to light emission data of the plasma. The data processing apparatus performs the processing to the light emission by using an adaptive double exponential smoothing method for varying a smoothing parameter based on an error between input data and a predicted value of smoothed data. A response coefficient of the smoothing parameter is derived by a probability density function including the error as a parameter.
Abstract:
The present invention is a data processing apparatus including a data input/output device for receiving data, a storage for storing the data received by the data input/output device, a data processing program storage for storing a data processing program that includes the steps of calculating, using a double exponential smoothing method, a first predicted value that is a predicted value of smoothed data and a second predicted value that is a predicted value of the gradient of the smoothed data, and calculating, using a double exponential smoothing method in which the second predicted value is set as input data, a third predicted value that is a predicted value of smoothed data and a fourth predicted value that is a predicted value of the gradient of the smoothed data, and a data calculation processing apparatus for performing the data processing under the data processing program.