Hi Amel
Here are a few possible causes of the discrepancies:
a. The poly fill was not exported together with the design due to bad layer mapping
=> Correct the layer map file and redo stream out
b. The poly fill was created using the wrong fill type (e.g. type "dummy" instead of type "drawing") and was not recognized by the foundry sign-off drc deck
=> Re-create the fill using the correct fill type and re-export the gds file
c. You are using a different verification tool from the foundry (e.g. you are using Assura/PVS and tsmc uses another tool)
=> Get detail information from foundry on the density errors which they have encountered
d. The density rules in your rule deck are coded differently from those in the foundry sign-off rule deck (due to different tools). E.g. your deck does not use windowing but density of each windows are checked in the sign-off rule deck
=> Get detail information from foundry on the density errors which they have encountered
e. You had run drc and gotten zero drc errors but had forgotten to enable the switch for density check
=> Enable density check and redo drc
It would be best to first clarify with the foundry on the details of the density error. : )
Best regards
Quek
Hi Amel
The stream layer map file is named as "techlib.layermap" (e.g. tsmc018.layermap) in the technology library. You can check if "Poly1 dummy" is listed as one of the layers to export. Alternatively, you can import the gds file and check if the imported layout contains poly1 dummy shapes.
I think the most important thing right now is to get detail information on the errors which your foundry is reporting. Otherwise you might not be doing the correct troubleshooting. : )
Best regards
Quek
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My current understanding is that a call to poly(horsepower, 2) should be equivalent to writing horsepower + I(horsepower^2). However, this seems to be contradicted by the output of the following code:
To get ordinary polynomials as in the question use raw = TRUE. Unfortunately there is an undesirable aspect with ordinary polynomials in regression. If we fit a quadratic, say, and then a cubic the lower order coefficients of the cubic are all different than for the quadratic, i.e. 56.900099702, -0.466189630, 0.001230536 for the quadratic vs. 6.068478e+01, -5.688501e-01, 2.079011e-03 after refitting with a cubic below.
What we would really like is to add the cubic term in such a way that the lower order coefficients that were fit using the quadratic stay the same after refitting with a cubic fit. To do this take linear combinations of the columns of poly(horsepower, 2, raw = TRUE) and do the same with poly(horsepower, 3, raw = TRUE) such that the columns in the quadratic fit are orthogonal to each other and similarly for the cubic fit. That is sufficient to guarantee that the lower order coefficients won't change when we add higher order coefficients. Note how the first three coefficients are now the same in the two sets below (whereas above they differ). That is, in both cases below the 3 lower order coefficients are 23.44592, -120.13774 and 44.08953 .
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