Replies: 6 comments
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A discussion should provide some background information and raise questions or open points, otherwise nobody will join. Please have a look at the SIP examples on https://www.pygimli.org |
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Ok you are right Sir, Indeed, I am using spread spectrum-induced
polarization data and would like to know the possibility of using pyGimli
for inversion and my Ph.D thesis
Le mar. 9 juil. 2024 à 15:21, Thomas Günther ***@***.***> a
écrit :
… A discussion should provide some background information and raise
questions or open points, otherwise nobody will join.
Please have a look at the SIP examples on https://www.pygimli.org
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There is not more information contained. Are you working on (lab) SIP spectroscopy or on frequency-domain field IP? In the first case, you will find some examples on https://www.pygimli.org , in the latter there is a dedicated class in the BERT project. |
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I'm working on frequency-domain field IP
Le jeu. 11 juil. 2024 à 16:30, wilfried kouabena ***@***.***>
a écrit :
… Ok you are right Sir, Indeed, I am using spread spectrum-induced
polarization data and would like to know the possibility of using pyGimli
for inversion and my Ph.D thesis
Le mar. 9 juil. 2024 à 15:21, Thomas Günther ***@***.***> a
écrit :
> A discussion should provide some background information and raise
> questions or open points, otherwise nobody will join.
>
> Please have a look at the SIP examples on https://www.pygimli.org
>
> —
> Reply to this email directly, view it on GitHub
> <#748 (comment)>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/A6BXOGZZFPFBA7B5GHBPTYLZLOFQDAVCNFSM6AAAAABKQEK6YWVHI2DSMVQWIX3LMV43SRDJONRXK43TNFXW4Q3PNVWWK3TUHM4TSOJVGIYDG>
> .
> You are receiving this because you authored the thread.Message ID:
> ***@***.***>
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My dataset is different from the normal SIP and IP, which is why I would like to know if there is a window in Pygmili for my dataset. |
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Yes, for analysing frequency-domain field-scale spectral IP data you should consider the References
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I'm dealing spread Spectrum induced polarization data and I want to use Pygmili to do my inversion
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