TEM-FAST

New example TEM: AEMR TEM-FAST 48 system, contributed by @aignerlukas.

IP/Q clarifications

• Modelling routines ip_and_q:
  • Use the corresponding co-planar loop configuration for the primary field.
  • Add warning to it that it is experimental.

In-phase and quadrature

• Modelling routines: New function ip_and_q; this function is a wrapper, taking the same input as dipole. It then computes two responses, the secondary and the primary field, and returns the in-phase and quadrature components as common in profiling measurements using small sources. It only works for magnetic sources and receivers, and the frequency domain.
• Gallery
  • New example In-Phase and Quadrature, demonstrating DUALEM-842 and GEM-2.
  • Clarification in the example Ward and Hohmann.
• Maintenance
  • Testing: added Python 3.13; moved Mac/Win to 3.13.
  • Added plausible to website.

El. current density

The mrec keyword in empymod.bipole can now be set to j, in which case the electric current density (A/m2) is returned.

pyproject.toml

Small maintenance release:

• Update credits to reflect current situation.
• Changed from setup.py to pyproject.toml.
• Some maintenance in tests and docs.
• Small modifications to the kernel.

NumPy v2

The code is now compatible with NumPy v2.

• Gallery Update Part I:

  • Update for Jupyterlab (ipympl/widget)
  • Replaced implicit by explicit pyplots
  • Use by default a positiv z-upwards coordinate system
  • Part I: frequency domain; reproducing; published

• Bumped the minimum requirements to:

  • Python 3.10
  • SciPy 1.10
  • Numba, libdlf, scooby (without minimum version)

• Maintenance:

  • Testing: dropped Python 3.9 (Python 3.13 not added yet).
  • Update for NumPy v2: mainly np.infty -> np.inf, np.float_ -> np.float64.
  • Some fixes to address warnings regarding the deprecated conversion of an array with ndim > 0 to a scalar.

Julia wrapper

• @ruboerner created a Julia wrapper for empymod! Added a note in this regard to the README and the installation instructions.
• Small maintenance things and doc improvements.

libdlf and scooby

The digital linear filters are outsourced to libdlf, reducing the lines of code of empymod by over 50%. In addition to the new requirement libdlf, scooby is added as a requirement. Most user questions can be adressed much better if they provide the output of empymod.Report() - however, most users do not have scooby installed. Having it as a requirement will make support smoother. Both new requirements are very lightweight modules, having at most numpy as a dependency.

• Filters:

  • The digital linear filters are outsourced to libdlf (https://github.com/emsig/libdlf). Note: How to access filters changed! The old way still works, with a deprecation note stating how to change your code. The old way will be removed in v3.0.

• Examples:

  • @efinden expanded the "Cole-Cole IP" example.

• Maintenance:

  • Bumped the minimum requirements to:

    • Python 3.9
    • SciPy 1.9
    • Numba 0.53
    • libdlf (NEW requirement)
    • scooby (NEW requirement)

  • Testing: added Python 3.12, dropped Python 3.8.

  • Fix remaining outdated python setup.py commands.

  • Many small things to keep the package updated.

Flexible dipole coordinates

• Modelling routines: The definition of the coordinates for dipole, dipole_k, and analytical is now more flexible (x and y coordinate can now have different dimension, as long as one is a scalar).

• Bumped the minimum requirements to:

  • Python 3.8
  • NumPy 1.19
  • SciPy 1.5
  • Numba 0.50

• Bug fixes, small improvements and maintenance:

  • Cleaned-up the namespace by setting dir() explicitly.
  • Testing: added Python 3.11, dropped Python 3.7.
  • Adjust copyright notice to only include original year, so it has not to be adjusted each year.

Minimum offset

• Minimum offset:

  Change regarding the enforced minimum horizontal offset, which can be set
  through empymod.set_minimum(min_off=1e-3), where 1e-3, hence 1 mm, is the
  default. Until now, responses for smaller offsets were set to NaN. New, they
  return the response for the minimum offset. The raised warning stays the
  same.

• Maintenance

  • Exclude scipy!=v1.9.0 from MacOS/Windows test.
  • Replace pytest-flake8 by plain flake8.
  • Change the way spacing and shift are calculated in
    fdesign.print_result to avoid numerical precision issues.
  • Replace deprecated sphinx-panels with sphinx-design.