Changelog

This changelog describes the changes made between the different alpha versions of |Finesse|. When seeing unexpected behavior with existing finesse scripts after updating, you should read the entries between the last working version and the version introducing the issues, to see if there are any entries that are relevant to your code. See Updating Finesse for instructions on how to update to the latest version.

Note

You are currently looking at the documentation for |Finesse| 3.0a27-59-gb089999. Some of the changes listed for older versions may no longer be relevant, or contain broken links to non-existing documentation pages.

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Warning

This release includes a few changes to default way of handling phases in |Finesse|, which might change the outcomes of previous simulations. We believe the new phase settings to be more physically correct, so we advise everyone to use this new version.

Added

Changed

  • The phase relationship on transmission has been changed to a new default. It will be identical to the previous relationship for most cases, but will prevent power conservation issues in more complicated setups. You can set the _settings.phase_config.v2_transmission_phase to False if you want to revert to the old (Finesse 2) behavior, but the new behavior is likely more physically correct. See Mirror and beamsplitter phase relationships for more details.

  • The default value for zero_k00 finesse.model.Model.phase_config() has been changed to False. Users using finesse.knm.maps.Map should make sure they use optimizers for locking. See Phase configuration settings for more information.

  • finesse.model.Model.get_elements_of_type() now returns a tuple instead of a generator, and accepts element names as strings as well as python classes as arguments:

  • Added an option full_output to finesse.gaussian.optimise_HG00_q_scipy() to return the optimized array of HG modes alongside the fit result. This replaces the previous return_fit_result argument.

  • Include parity flip on reflection in Mirror and Beamsplitter ABCD methods. See also the new _s and _t suffixes in methods in finesse.tracing.abcd and the #123. For backward compatible code, use something like:

try:
   from finesse.tracing.abcd import space, beamsplitter_refl

   beamsplitter_refl_t = lambda *args: beamsplitter_refl(*args, "x")
   beamsplitter_refl_s = lambda *args: beamsplitter_refl(*args, "y")
except ImportError:
   # Handle newer versions which separate the beamsplitter refl # into the tangential
   and sagittal planes from 3.0a28 from finesse.tracing.abcd import (
      space, beamsplitter_refl_s, beamsplitter_refl_t,
   )

  • Changes the examples in the documentation to indicate that parsing an action in KatScript and calling model.run() without any arguments is not recommended.

Deprecated

Removed

Fixed

  • Single solution outputs can be seleceted by their name now, so you do not need to add extra actions or put them in series unnecessarily.

  • Clarified the docstrings for the finesse.components.cavity.Cavity class its finesse.components.cavity.Cavity.path() method.

  • The shape of DCFieldsSolution is reverted to [nodes, frequencies, HOMs], as described in finesse.analysis.actions.dc.DCFieldsSolutions

  • When removing a Readouts component, remove the associated output detectors as well (note that removing components from a model is unreliable in general)

  • Parameters of autogenerated spaces and wires not generating a correct full_name attribute.

  • Fixed issue #659 - missing sol = model.run() in documentation for Maximise action

3.0a27

  • Allow detectors and ports to be visualized with component_tree method. See an example in the [docs](https://finesse.ifosim.org/docs/develop/usage/python_api/models_and_components.html#visualizing-the-model)

  • Fix finesse.gaussian.HGMode ignoring shape of the given y vector when n=m.

  • Option to keep only a subset of symbols in symbolic Model.ABCD method

  • Add options to specify the plane of incidence for a beamsplitter and to misalign a beamsplitter

  • Add pytest-xdist and configure it for faster (parallel) test running

  • Fix slow optimal q detector test slowdown

  • Fix broken cli test overwriting user config

3.0a26

  • Fixed inadvertently adding cython as a runtime dependency in 3.0a25

  • Added documentation on defining manual beam parameters

  • Expanded docstring on mirror curvature

  • Better error message for degree of freedom illegal self referencing

  • Generate conda files automatically from pyproject.toml

3.0a24

New features

Documentation changes

Other

3.0a23

  • Fix memory leak issue during model building

  • Changing the ‘disabled’ argument of the Lock component to ‘enabled’ to avoid double negative if conditions in the code

  • Minor performance fixes

  • Fix for the Optimizer action that would sometimes leave the model in an incorrect state after optimization

  • “Did you mean” suggestions for katscript keyword arguments on syntax errors

  • Adds warning for unreasonable katscript line lengths and better message on parsing recursion errors

  • Evaluate symbolic references in the component info tables

  • allows overlap_contour to work with (qx,qy) input

3.0a22

  • phase_config now locked when the model is built

  • Symbol.lambdify was added to change Finesse symbolic expressions into a Python callable function

  • Added initial benchmarking tests for tracking performance changes over time

  • KnmMatrix.plot can be set to amplitude or phase now with the mode option

  • Locks now throw an explicit exception LostLock when it fails

  • Added Matplotlib helper function that plots arrows along a line at several points

3.0a21

Adds support for Python 3.12

3.0a20

3.0a19

  • Requiring Matploblib < 3.8 until fixes are made for plotting routines

  • Parameters that are external controlled, such as those set by a DegreeOfFreedom will explicitly shown the symbolic reference now as opposed to hiding it. See #571

3.0a18

  • Fixed FieldDetector not conjugating lower sideband

  • Fixed DegreeOfFreedom using custom AC_IN and AC_OUT not filling the matrix correctly

  • Variable element removed, now calls model.add_parameter instead. this means some code using var.value.value will no longer work.

  • Added extra factorisation step when refactor returns a singular matrix with KLU, a warning will show when this happens.

  • Model.display_signal_blockdiagram now takes nodes name list and only show paths with those nodes in for cleaner diagrams

  • Model.path can take a symbolic=True keyword argument now for calculating symbolic path lengths

  • phase_level deprecated and replaced with model.phase_config method

  • unparing unsupported KatScript values will result in a __FIX_ME__ token

  • Parameters now support boolean checks

  • Python 3.11 wheels now built

  • SetLockGains now just optimises gains and not demodulation phases

  • OptimiseRFReadoutDemodPhaseDC now accepts Readout detector outputs REFL9_I or REFL9_Q for example, to optimise for either quadrature. Readout names supported and will default to _I with a warning

  • Fixed Hello-Vinet function substrate_thermal_expansion_depth #567

3.0a17

  • Fixing block diagram generation for signal paths

  • DOF has simpler interface for specifying just a DC actuation instead of using LocalDegreesOfFreedom

    • This also allows user to specify their own AC connections to the DOF.AC.i and DOF.AC.o as they see fit

  • Reworking signal node and port connections and attached_to attributes so they work

  • Wires now connect anything to anything, had some logic about input and output that isn’t needed anymore. Wires also have a gain now for simply rescaling inputs before summing with multiple other signal nodes

3.0a15

Adding additional features for degrees of freedom to allow for better/easier modelling of ASC and other more complex effects. LocalDegreesOfFreedom replaces DOFDefinition, which now has separate AC input and output nodes. Also tested against Sidles-Sigg theory and no internal code changes were needed.

3.0a14

Same as a13 but redoing conda dist for source

3.0a12

Pinning to less than Cython 3

3.0a11

Packaging/CI for windows still problematic, switching to conda instead of mamba due to 404 package errors

3.0a10

Attempt at fixing bad windows tag processing

3.0a9

New alpha update

3.0a8

Bad pypi source pushed for a7

3.0a7

Some recent fixes that improves memory allocation errors/checking and some usability errors.

3.0a6

Alpha 6 release

3.0a5

alpha 5, testing pypi deploy pipeline

3.0a4

alpha 4

3.0a3

Primarily fixes for Windows