Position measurement method, exposure method, exposure device, and manufacturing method of device
A technology of measurement method and exposure method, which is applied in the direction of measurement device, semiconductor/solid-state device manufacturing, optical device, etc., to achieve the effect of improving exposure accuracy and long-term stable position measurement
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Embodiment 1
[0095] Figure 9 Waveform data obtained by performing the signal processing represented by the above formula (1) is shown.
[0096] D=(Dm-Dnb) / (Dna-Dnb)...(1)
[0097] That is, in this example, as an algorithm for noise correction, the signal waveform data (Dnb) obtained by subtracting the light quantity-independent component of noise from the signal waveform data (Dm) of the mark is processed by using the light quantity-dependent component of noise The processing result of subtracting the signal waveform data (Dnb) of the light intensity-independent component from the signal waveform data (Dna) is subjected to division processing. As a result, the influence of noise on the marked imaging signal is well corrected.
Embodiment 2
[0099] Figure 10 Waveform data subjected to signal processing represented by the following formula (2) is shown.
[0100] D=(Dm-Dnb)...(2)
[0101] That is, in this example, as an algorithm for noise correction, a process of subtracting the light amount-independent component of noise from the signal waveform data (Dm) of the marker is performed. As a result, the influence of noise (light intensity-independent components) on the marked imaging signal can be corrected satisfactorily. This example can be suitably applied to a case where there are many light quantity-independent components included in noise and few light quantity-dependent components. In this example, compared with the processing algorithm shown in the above-mentioned formula (1), it can be performed by simple arithmetic processing, so that a high yield can be obtained.
Embodiment 3
[0103] Figure 11 Waveform data subjected to the signal processing represented by the above-mentioned expression (3) is shown.
[0104] D = (Dm-Dna) ... (3)
[0105] That is, in this example, as an algorithm for noise correction, a process of subtracting the light-amount-dependent component of noise from the signal waveform data (Dm) of the marker is performed. As a result, the influence of noise (light intensity-independent components) on the marked imaging signal can be corrected satisfactorily. This example is suitable for the occasion where there are many light-quantity-dependent components included in the noise and few light-quantity-independent components. In this example, compared with the processing algorithm shown in the above-mentioned formula (1), it can be completed by simple arithmetic processing, so a high throughput can be obtained.
[0106] In this way, in any of the embodiments, the influence of noise on the marked imaging signal can be well corrected. The...
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