# Joint inversion of potential filed data using cross-gradient constraint

**URL:** <https://simpeg.discourse.group/t/joint-inversion-of-potential-filed-data-using-cross-gradient-constraint/519>\
**Category:** Potential Fields\
**Created:** [November 2, 2023, 9:53am UTC](https://simpeg.discourse.group/t/joint-inversion-of-potential-filed-data-using-cross-gradient-constraint/519 "2023-11-02T09:53:32Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Bard](https://avatars.discourse-cdn.com/v4/letter/b/cab0a1/32.png) [@Bard](https://simpeg.discourse.group/u/Bard)\
**Post date:** [November 2, 2023, 9:53am UTC](https://simpeg.discourse.group/t/joint-inversion-of-potential-filed-data-using-cross-gradient-constraint/519/1 "2023-11-02T09:53:32Z")

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Hello, I am currently working on the cross-gradient joint inversion method for gravity and magnetic data in the context of iron deposits. My question is about the joint inversion Jupyter notebook in the SimPEG documentation: Does this notebook primarily demonstrate L2-norm joint inversion or L1-norm joint inversion? Additionally, I encountered an issue during forward modeling where I was unable to achieve a more favorable geometry for simple shapes by reducing the coupling factor to 1e6. I would greatly appreciate any insights or guidance on this matter. Thank you in advance for your response.