Claims Analysis
Total Claims: 14
Claim 1
Independent Claim
53 words
A wavefront slope sensor comprising: means for obtaining a laser beam sample; means for splitting the sample into two components according to a spatially varying transmittance function which is continuous and monotonic; means for measuring the intensity distributions of said components; and a processor for calculating the wavefront slope from said intensity distributions.
Claim 2
Dependent Claim
53 words
A wavefront slope sensor comprising: means for obtaining a laser beam sample; means for splitting the sample into two components according to a spatially varying transmittance function which is continuous and monotonic; means for measuring the intensity distributions of said components; and a processor for calculating the wavefront slope from said intensity distributions.
Claim 3
Dependent Claim
55 words
A wavefront slope sensor comprising: sampling means for obtaining a laser beam sample; filter means for splitting the sample into two component beams according to a spatially varying transmittance function which is continuous and monotonic; intensity sensor means for measuring the intensity distribution of each component; and processor means for pointwise differencing said intensity distributions.
Claim 4
Dependent Claim
55 words
A wavefront slope sensor comprising: sampling means for obtaining a laser beam sample; filter means for splitting the sample into two component beams according to a spatially varying transmittance function which is continuous and monotonic; intensity sensor means for measuring the intensity distribution of each component; and processor means for pointwise differencing said intensity distributions.
Claim 5
Dependent Claim
24 words
The sensor of claim 2 further comprising focusing means for focusing said sample onto said filter means, and collimating means for collimating said components.
Claim 6
Dependent Claim
35 words
The sensor of claim 2 further characterized in that said filter means is a partially transmitting and partially reflecting optical element, the transmittance of which varies continuously and monotonically as a function of spatial position.
Claim 7
Dependent Claim
24 words
The subsystem of claim 2 further characterized in that said processor means is capable of normalizing and scaling the results of a pointwise differencing.
Claim 8
Dependent Claim
26 words
The sensor of claim 5 further characterized in that said processor means normalizes said pointwise differencing by dividing by the pointwise sum of the intensity distributions.
Claim 9
Independent Claim
57 words
A method of characterizing a laser beam, said method comprising the steps of: obtaining a laser beam sample; splitting said beam sample into first and second component beams according to a spatially varying transmittance function which varies continuously and monotonically with spatial position; obtaining first and second intensity distributions of the respective first and second component beams.
Claim 10
Independent Claim
57 words
A method of characterizing a laser beam, said method comprising the steps of: obtaining a laser beam sample; splitting said beam sample into first and second component beams according to a spatially varying transmittance function which varies continuously and monotonically with spatial position; obtaining first and second intensity distributions of the respective first and second component beams.
Claim 11
Dependent Claim
25 words
The method of claim 7 further comprising the step of focusing said sample prior to said splitting, and the step of collimating the component beams.
Claim 12
Dependent Claim
18 words
The method of claim 7 further comprising the step of calculating the wavefront slope from said intensity distributions.
Claim 13
Dependent Claim
18 words
The method of claim 7 further comprising the step of pointwise differencing said first and second intensity distributions.
Claim 14
Dependent Claim
36 words
The method of claim 7 further comprising the steps of obtaining the pointwise difference of the distributions, obtaining the pointwise sum of said distribution, dividing the pointwise difference by the pointwise sum, and scaling the quotient.