Date: Fri, 29 Mar 2024 13:29:54 +0000 (GMT)
Message-ID: <416872984.197.1711718995007@[172.30.0.157]>
Subject: Exported From Confluence
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Part_196_247281387.1711718994991"
------=_Part_196_247281387.1711718994991
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
Content-Location: file:///C:/exported.html
Schematic>Interp_IV_use_Loaded_IVRunScriptInterp_IV_use_Loaded_IV">
Description
IV =
Curve Interpolation
The IV Delta measurement is very useful for device modeling purposes. On=
e common problem is that the measured IV data is not on the same steps or a=
n even step in the data file. This causes a problem because the IV simulati=
on requires to be on an even step size. The solution is to interpolate the =
measured IV data. The script attached to this project will interpolate an I=
VD file (selected by the user) to match the sweep and step settings on an I=
V Meter in a schematic (selected by the user) and then load a new IVD file =
into the project.
Solution
When you run the script, you be prompted for which data file you want to=
interpolate
It then asks for the schematic that has the IV Curve block in it.
Once this is selected, a new IVD file will be loaded into the project wi=
th _interp appended to the original name.
The script uses the sweep and step settings on the IVCURVE model in the =
schematic chosen to get the values to interpolate the original data to.
The graph below shows a sample of results after the interpolation has be=
en performed.
Graph - IV Curves
------=_Part_196_247281387.1711718994991
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/0326a97ef092be2912d640e013dd42d0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------=_Part_196_247281387.1711718994991
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/c824cbd132d9c8d471b132ffa55a3568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------=_Part_196_247281387.1711718994991
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/c4ee42eeb7f9e90d839954b49dd204b9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------=_Part_196_247281387.1711718994991--