Wkshp24

ASEG_Hobart_Workshop_2024/README.md

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+# [HiQGA.jl](https://github.com/GeoscienceAustralia/HiQGA.jl) workshop at ASEG Discover 2024 conference, Hobart: Airborne electromagnetic (AEM) surveying from farm to table -- an interactive overview of acquisition, processing and inversion of AEM data
+
+Jupyter notebooks are in the directory 
+```
+00_notebooks/
+``` 
+and will only require the use of a computer with at least 7 CPUs. Most laptops can run these in 2024. Remember to change any file paths to your local disk if running the notebooks yourself. 
+
+To view the pre-run notebooks, simply click the `.ipynb` file in GitHub on your browser.
+
+Julia scripts (not notebooks) on which the notebooks are based, are in the directories
+
+```
+synthetic/  
+UDF_data/  
+UDF_deterministic/  
+UDF_probabilistic/  
+```
+
+Simply run the files in numbered order for `synthetic/`. Remember to change any file paths to your local disk!
+
+Please note that the `UDF_deterministic/` and `UDF_probabilistic/` directories use MPI and 1,000s of cores. The submit scripts for `qsub`/PBS on the Gadi cluster, as well as diagnostic output from HiQGA is included. These two directories only require you run the 01, 02 and 04 scripts to plot pre-run results. However, for the probabilistic inversions, the full posteriors are too large to provide here. Again, remember to change any file paths to your local disk.
+
+The directory
+```
+viz
+```
+contains a Julia script that uses the accompanying [RDP.jl](https://github.com/GeoscienceAustralia/HiQGA.jl/blob/55400fa97c57f576701e239e651ccce83557cf46/zz_portalcurtains/RDP.jl) module in commit `55400fa` for [VTK](https://vtk.org/) visualization in [ParaView](https://www.paraview.org/) or another VTK viewer such as [VisIt](https://visit-dav.github.io/visit-website/).  
+
+## Installation of HiQGA version used in the workshop
+To install the workshop stable release, use Julia's `Pkg` REPL by hitting `]` to enter `pkg>` mode. Then enter the following, at the `pkg>` prompt:
+```
+pkg> add HiQGA @0.4.8
+```
+For the latest HiQGA version (not used in the workshop), drop the `@0.4.8`
+
+## Docs
+References, detailed instructions for installation, running examples and setting your environment on a cluster are ☞ [<img src="https://img.shields.io/badge/docs-stable-steelblue.svg">](https://geoscienceaustralia.github.io/HiQGA.jl/)
+
+## References
+Please see the accompanying conference abstract for mathmatical details and further references
+https://doi.org/10.5281/zenodo.13918176
+
+
+

ASEG_Hobart_Workshop_2024/UDF_data/electronics_halt.jl

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+# Tx dimensions
+rTx = 10.4
+# Low Pass filter corner frequencies
+lowpassfcs = [203600.0, 300000.0]
+# High alt noise in same units as data in ASEG GDF
+include("halt_combined.jl")
+# LM settings
+LM_times = 1e-6*[
+    16.415
+  20.915
+  26.415
+  33.415
+  42.415
+  53.915
+  68.415
+  86.415
+ 108.915
+ 136.915
+ 177.915
+ 228.915
+ 279.915
+ 355.915
+ 456.915
+ 557.915
+ 684.415
+ 861.415
+]
+LM_ramp = [
+    -0.0008      0.0
+    -0.0007396   0.099783
+    -0.00062783  0.25193
+     0.0         1.0
+     3.288e-7    0.98807
+     1.0648e-6   0.93826
+     1.9688e-6   0.84188
+     2.3048e-6   0.79337
+     2.6488e-6   0.75004
+     3.1448e-6   0.67073
+     4.0648e-6   0.55438
+     4.6328e-6   0.46349
+     6.0648e-6   0.28483
+     7.2888e-6   0.16799
+     8.6408e-6   0.082725
+     9.6328e-6   0.044079
+     1.1041e-5   0.012779
+     1.2217e-5   0.0
+]
+# HM settings
+HM_times = 1e-6*[
+    436.415
+    458.915
+    486.915
+    527.915
+    578.915
+    629.915
+    705.915
+    806.915
+    907.915
+   1034.415
+   1211.415
+   1438.915
+   1742.415
+   2121.415
+   2575.915
+   3182.415
+   3940.415
+   4849.415
+   5960.415
+   7274.415
+   8892.415
+  10812.415
+  13187.415
+]
+HM_ramp = [
+    -0.005       0.0
+ -0.0049025   0.32775
+ -0.0048002   0.65055
+ -0.0047155   0.89397
+ -0.0047064   0.9167
+ -0.004692    0.93776
+ -0.0043829   0.95989
+ -0.0040505   0.96678
+ -0.0017826   0.97902
+  0.0         1.0
+  4.8566e-5   0.8511
+  0.00010945  0.65471
+  0.00018545  0.40016
+  0.00029847  0.011948
+  0.00030379  0.0
+]

ASEG_Hobart_Workshop_2024/UDF_data/halt_combined.jl

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+LM_noise = vec([11.777056632828693 28.212360499657112 11.65896012978298 1.7136639003344751 1.4010830630340292 1.0170369261453802 0.8526108635907393 0.6492591656663358 0.5147578711895792 0.4121822015501488 0.26331150699980094 0.21630923911162836 0.18878284405855764 0.12437710482582202 0.10532977709154645 0.09568181515903044 0.08233908793065307 0.07248677367932307])
+HM_noise = vec([0.034555088411955655 0.024422716771949595 0.015625005924072354 0.007526446864085733 0.006977558693116579 0.006408817906669136 0.004061450614873088 0.003648690900613066 0.0032897340686849938 0.0023924606235784505 0.0019473594127964113 0.001684974081805395 0.001398361878093558 0.0012038901607596788 0.0010018837170084481 0.0009016526328880699 0.0007904028897939201 0.0007196501908164429 0.0006046245760704596 0.0005404764935287137 0.0004936775818543692 0.0004446231599090786 0.00041513501203845743])