| 3 Apr 2022 |
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| 18 Apr 2022 |
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| 1 May 2022 |
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| 19 May 2022 |
| @_slack_fatiando_U038NHPFVU6:matrix.org | Redacted or Malformed Event | 03:12:27 |
| @_slack_fatiando_U038NHPFVU6:matrix.org | Is there an existing way of adding a progress bar (like tqdm) for the forward modelling of a set of prisms? I was hoping for something along the lines of: prisms.prisms_layers.gravity.tqdm(coordinates, field='g_z)? It would be good to see the progress and know how long is left. | 03:15:58 |
|  @_slack_fatiando_UQQR4T95Y:matrix.org joined the room. | 05:04:19 |
| @_slack_fatiando_UQQR4T95Y:matrix.org | Hi Matt, you could try to use the package Numba-progress (https://pypi.org/project/numba-progress/). The prism layer forward modelling is controlled by the prisms.py function (https://github.com/fatiando/harmonica/blob/main/harmonica/forward/prism.py). I draft a new file that could display the progress bar using Numba-progress. If you could install Numba-progress first, and replace the prism.py file in your environment (*\Lib\site-packages\harmonica\forward). That would give you a progress bar during the forward calculation.
Would you mind opening an issue on the Github? So that we can think about how to design the function for the long term run.😉 | 05:04:19 |
| @_slack_fatiando_U038NHPFVU6:matrix.org | Hi Lu, thanks! That looks like exactly what I was hoping for. I'll try and open an issue next week 🙂 | 05:17:46 |
| 26 May 2022 |
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| 15 Jun 2022 |
 @_slack_fatiando_U01E7LSJCHH:matrix.org | Hello. I was looking at Gridding and upward continuation example. On it says "Most potential field surveys gather data along scattered and uneven flight lines or ground measurements", When dealing with data from surveys, it is common to have cross-over errors. Is there any way to fix those errors with Harmonica/Fatiando? Or is it not necessary to do so? | 15:28:36 |
 @_slack_fatiando_UMGLPTLAW:matrix.org | in airborne magnetic surveys data are usually leveled/micro-leveled to reduce/eliminate cross over errors prior to any further grid processing. That is something the data collection contractor would usually do as part of the initial processing. | 21:17:37 |
| 16 Jun 2022 |
| @_slack_fatiando_U01E7LSJCHH:matrix.org | Redacted or Malformed Event | 12:57:33 |
| @_slack_fatiando_U01E7LSJCHH:matrix.org | Thanks!! So, the answer is that Harmonica assumes that the data was pre-process, right? | 12:57:50 |
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| 23 Jun 2022 |
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| @_slack_fatiando_U01CCMJCJVD:matrix.org | I think the tool inside Fatiando that can help with that is Verde. rather than Harmonica.
For example, in this tutorial Leo explained why is important perform "block reductions" to get rid off aliasing effect, using Verde https://youtu.be/-xZdNdvzm3E?t=1997 | 23:12:19 |
| @_slack_fatiando_U01CCMJCJVD:matrix.org | This tutorial is also useful to see how the workflow of Fatiando tools interact to solve a geophysical problem,
First Ensaio and/or Pooch
then
Verde
then
Boule
then
Harmonica
Check the notebook:
https://github.com/fatiando/tutorials/blob/main/gravity-processing.ipynb
And the tutorial:
https://www.youtube.com/watch?v=0bxZcCAr6bw | 23:25:41 |
| 24 Jun 2022 |
| @_slack_fatiando_U01E7LSJCHH:matrix.org | Many thanks Mariana! I will keep these tutorials in mind. | 18:20:37 |
| @_slack_fatiando_U01E7LSJCHH:matrix.org | I have tried the block reductions. But I was wondering if there was something else like the x2sys package from Wessel (2010). | 18:23:15 |
| @_slack_fatiando_U01CCMJCJVD:matrix.org | Great question! I think this is a good one to start using the forum, isn't it?😀https://github.com/orgs/fatiando/discussions | 18:34:57 |
| 13 Jul 2022 |
|  @_slack_fatiando_U022GF9FVLL:matrix.org changed their display name from Thomas Martin to Thomas Martin [Unidata]. | 13:31:04 |
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| 20 Jul 2022 |
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| 29 Jul 2022 |
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| @sis3020:matrix.org | Redacted or Malformed Event | 08:27:28 |
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