Hi Everyone, I would like to make a short comment on drift of the wavelength features in hyperspectral instruments and cross instrument calibration. For the sake of my sanity and yours I’m only going to address wavelength position/alignment, spectral resolution is a slightly separate issue. The first point of clarification is that the wavelength standards have a dual purpose: to monitor the performance of the instrument and drift to allow you to correct the position of the spectral features to a known energy.

I spent the last few months wondering if any of the posts that I was doing were leading to any inbound work, and the answer was no. None of the technical stuff seems to get much traction , I hope the high barrier to entry is a turnoff not that the content is shit or maybe the linkedin algorithm has changed a bit as well making getting traction on outbound links harder.

For any one doing drill planning taking a guess at how long it will take to complete a drill program is one of the more interesting exercises. If you are luckly you look at last years drilling and use those numbers in the current estimate. But for people who: Don’t have last years drilling Are drilling some where totally new You can skip to the results from here:

Why dhcomp It’s 2023 and there were still no python libraries that you can pip install to composite drill hole intervals. To fix this I have released dhcomp on pypi as an MIT licenced library to composite drill hole intervals and other irregular spaced time series data. For anyone on wondering why should you use dhcomp: you can pip install it permissive licence it doesn’t require your intervals to be ordered or unique fast works on 3d arrays let’s you calculate a weighted average with soft boundaries deals with missing data for you As fair warning I have only required compositing that correctly calculates a weighted average for the soft boundary condition.

Good morning dataless geologists and geological software providers, Andrew Waltho asked for open file training datasets as keen fan of WAMEX here is one of my favourite Anumbers A72391; The 2005 -2006 Central Chichester Ranges Report As it is a relatively flat lying resource it would be excellent as an example for anyone looking for a simple geological model to build. It is also one of the few reports on WAMEX that contains metallurgical test work so that opens an interesting pathway for practicing metallurgical modelling.

Let’s run through the restoration of the pgsql backup file supplied by GSWA and expedio for all those times when you just want to have some nice data to play with. Let’s first download the backup file from aws, change the path of the file mdhdb_data_and_structure.backup.gz to suit your setup. curl https://exp-gswa-mdhdb-bkt01.s3.ap-southeast-2.amazonaws.com/mdhdb_data_and_structure.backup.gz --output mdhdb_data_and_structure.backup.gz Of course you have already downloaded and installed postgres if not follow the process here to sort yourself out if you are trying this on windows…(hahaha) you will need to install sed and something to unzip.