Felipe Santibañez-Leal

Felipe Santibañez-Leal

he/him

I&F Decision Science Assoc. Manager @ Accenture | Applied Scientific Researcher

Sampling Cements

1 minute read

Published:

Starting the characterization of our industrial partner’s cement samples — the first step in building a spectral database for material classification.

The samples

Thirty samples of one kilogram each arrived in sacks. It took me a while to decode the labeling and identify each one properly.

Every 10 kilograms belong to the same batch of material, so we need to be careful when relating these new spectral measurements to the laboratory tests previously performed on the data.

Bag organization

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Preparing the containers

Samples were placed in large containers, with about 100 grams of additional material spread on top of each container to maximize the surface area available for spectral acquisition.

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Acquisition

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In total, I acquired 7 hyperspectral images across the samples. That is a lot of spectral pixels for this amount of material — the RAW database is close to 200 GB.

Off-topic find of the day

I came across an article about altered visual encoding capacity in individuals with autism spectrum disorder. PLOS Biology Article

The article draws connections with the Cramer-Rao lower bound and Fisher information — a nice bridge between neuroscience and the kind of estimation theory I work with daily.

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