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Author Comment Last activity Moderation
Matej "Great Jeff! Thanks for adding the tags. Isn't it awesome? I heard about the freezing separation long time ago. People do this already for some time..." | Read more » over 8 years ago
warren "This sounds great -- I added some relevant tags to connect your work with other work going on in PL. Thanks! Looking forward to following your work..." | Read more » over 8 years ago
warren "I've also heard on the lists about someone using thermal cameras in the Portland area to try to measure gases from oil trains (i think?). Could be ..." | Read more » over 8 years ago
nshapiro "Hi @tonyc I think there are some people in Pittsburgh interested in doing something very similar! I've emailed them the link. I hope they reach out..." | Read more » over 8 years ago
hank ""Kids, don't try this at home" (without eye protection ...) " | Read more » almost 9 years ago
warren "@ygzstc - pointing you at this note since you've ordered some very bright UV LEDs. Oops, missed your comment mathew - we'll have to try that, thou..." | Read more » almost 9 years ago
warren "Hi, check this out -- @hynae ! " | Read more » over 9 years ago
stoft "They look good in the pic. It is difficult to get a ideal gradients with actual dots or lines. You might try attenuating the florescence light vs l..." | Read more » over 9 years ago
mathew " gradient_print.pdf @stoft just got these back. The silver nitrate emulsion is line-screened at 300dpi, and goes from 100% black to 100% clear..." | Read more » over 9 years ago
mathew "@stoft I just sent off a group of fades on acetate to the photo printer we use for our slits. We'll try it out soon. " | Read more » over 9 years ago
btbonval "On the plots, it looks like you have linearly sampled x-data, around 300 nm to 700 nm. The question is whether each x-value is equally spaced. If t..." | Read more » over 9 years ago
warren "The interval is from pixel width on the sensor, so I think it's a safe assumption? " | Read more » over 9 years ago
btbonval "@warren You aren't taking integrals, you're accumulating y-values. This might be equivalent if and only if the difference between x-value samples ..." | Read more » over 9 years ago
btbonval "In numpy, it'd be fairly easy. # establish that x and y are 1d vectors xdata = data[0,:] ydata = data[1,:] # perform cumulative sc..." | Read more » over 9 years ago
warren "Hi bryan - my code is here: https://spectralworkbench.org/macro/warren/centroidish -- I wonder if you did an implementation how different the line ..." | Read more » over 9 years ago
btbonval "If you have access to matrix math, I can vectorize the previous algorithm to speed it up. If you're in client javascript, I'm unaware of any good v..." | Read more » over 9 years ago
btbonval "Here's a dirty and slow way to determine the 50% mark: Firstly, normalize your data by dividing the integral (area under the curve). The area unde..." | Read more » over 9 years ago
stoft "btbonval - point taken, centriod is for 2D; their line just represents the 'center of distribution' " | Read more » over 9 years ago
stoft "btbonval - true. I was just suggesting a fast integer approximation as a simple means to test and get a 1-number result. The existing work in patte..." | Read more » over 9 years ago
btbonval "@stoft the centroid would be a point (x,y), not a line (x=B for all y). sorry to nitpick verbiage. I got all mathy in this post, figured I'd keep u..." | Read more » over 9 years ago
btbonval "What @stoft described in the first message is usually accomplished using a matched filter in DSP. http://en.wikipedia.org/wiki/Matched_filter " | Read more » over 9 years ago
stoft "I think the term you are looking for is the "centroid" -- think of it as the point where the shape/volume/whatever would be physically balanced -- ..." | Read more » over 9 years ago
btbonval "@warren The line that you describe would be the weighted mean of the dataset (integral divided by two, aka area under the curve divided by two as @..." | Read more » over 9 years ago
mathew "@stevie running three samples and averaging them is a great idea. You can see in the labels that I started running 3-5 tests per sample to go for ..." | Read more » over 9 years ago