added comment about energy conversion to wavelength for Sik data

MK8J commented 7 years ago

Fantastic work getting this off the ground and so much information together.

Please see if these are suitable for entry into your database.

polyanskiy commented 7 years ago

Thanks a lot, looks great! Just give me few days to review it and put online.

polyanskiy commented 7 years ago

Hi! I have a question about Daub's data: how did you get the numerical values? Digitizing the figure? If so, the range of your data seems to be larger than the range shown on the figure in the original paper...

MK8J commented 7 years ago

Good eyes!

I think I got is from a published private communication. I'll check and provide a reference, though I can't few several hours.

Mattias

On 23 Jun 2017 12:11 PM, "Mikhail Polyanskiy" notifications@github.com wrote:

Hi! I have a question about Daub's data: how did you get the numerical values? Digitizing the figure? If so, the range of the your data seems larger than the range shown on the figure in the original paper...

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MK8J commented 7 years ago

Hi Mikhail,

Your investigation was with merrit! You have found a mistake in my documentation, which has been there for several years!

The data was provided Schinke in a private communication and published in: Schinke, C., Hinken, D., Schmidt, J., Bothe, K., Brendel, R., 2013. Modeling the Spectral Luminescence Emission of Silicon Solar Cells and Wafers. IEEE Journal of Photovoltaics 3, 1038–1052. doi:10.1109/JPHOTOV.2013.2263985

The data was originally presented in figure 10 of Daub's thesis not his publication that I had referenced.

E. Daub, “Photolumineszenz von Silizium,” Ph.D. dissertation, Dept.

Phys., University of Karlsruhe, Karlsruhe, Germany, 1995.

Thanks

Mattias

On 23 June 2017 at 12:22, Mattias Klaus Juhl mattias.juhl@gmail.com wrote:

Good eyes!

I think I got is from a published private communication. I'll check and provide a reference, though I can't few several hours.

Mattias

On 23 Jun 2017 12:11 PM, "Mikhail Polyanskiy" notifications@github.com wrote:

Hi! I have a question about Daub's data: how did you get the numerical values? Digitizing the figure? If so, the range of the your data seems larger than the range shown on the figure in the original paper...

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/polyanskiy/refractiveindex.info-database/pull/20#issuecomment-310551381, or mute the thread https://github.com/notifications/unsubscribe-auth/AMCL-LSFKiSQbIKr9u8hQ_ExEzr5H9njks5sGx7GgaJpZM4OBqpV .

polyanskiy commented 7 years ago

MK8J commented 7 years ago

Hey Mikhail,

Everything looks great. Thanks for the efforts!

On the scripts you have attached to the github, I think, https://github.com/kitchenknif/PyTMM, might not properly take into account the extinction coefficient. There is an implementation that does here https://pypi.python.org/pypi/tmm.

Mattias

On 28 June 2017 at 09:56, Mikhail Polyanskiy notifications@github.com wrote:

Hi Mattias, your data are now online! Please take a look and let me know if everything is alright: https://refractiveindex.info/?shelf=main&book=Si&page=Schinke https://refractiveindex.info/?shelf=main&book=Si&page=Green-2008 https://refractiveindex.info/?shelf=main&book=Si&page=Sik-25C https://refractiveindex.info/?shelf=main&book=Si&page=Sik-250C https://refractiveindex.info/?shelf=main&book=Si&page=Sik-500C https://refractiveindex.info/?shelf=main&book=Si&page=Sik-700C https://refractiveindex.info/?shelf=main&book=Si&page=Sik-850C https://refractiveindex.info/?shelf=main&book=Si&page=Daub Thanks again! Mikhail

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kitchenknif commented 7 years ago

Hi Mattias, Hmm. I wasn't sure if the way I had implemented complex refractive indices in PyTMM was correct, but couldn't think of any quick way of checking... If you have an example that definitely shows incorrect behaviour, I would really appreciate it.

That being said, https://github.com/kitchenknif/PyATMM Should handle complex refractive indices correctly, and can also work with anisotropic (uniaxial) materials, but is a bit more complex.

MK8J commented 7 years ago

Hey Pavel,

I wouldn't rule at user error yet . See below is my attempt at comparing 3 TMM implementations.

I compared a stack of a-Si [272 nm] and Si [infinite], optical constants shown below. So layers without k, I got good agreement between all models. Zip below containing everything required.

i did simulations at 0 deg, so polarization doesn't matter.

pyTMM seems to do some where stuff, giving over 100% transmission.

Yeah I has a look at pyATMM, and put it in the to hard basket for now. I'm only dealing with isotropic materials.

Mattias [image: Inline images 1] [image: Inline images 2]

On 4 July 2017 at 13:48, Pavel Dmitriev notifications@github.com wrote:

Hi Mattias, Hmm. I wasn't sure if the way I had implemented complex refractive indices in PyTMM was correct, but couldn't think of any quick way of checking... If you have an example that definitely shows incorrect behaviour, I would really appreciate it.

That being said, https://github.com/kitchenknif/PyATMM Handles complex refractive indices correctly, and can also work with anisotropic (uniaxial) materials, but is a bit more complex.

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kitchenknif commented 7 years ago

@MK8J @polyanskiy Moved the issue with PyTMM to the relevant project https://github.com/kitchenknif/PyTMM/issues/1 Can probably close this one?

Pavel

polyanskiy / refractiveindex.info-database

added comment about energy conversion to wavelength for Sik data #20