History#

0.6.0 (unreleased)#

Renamed the project to the Argonne AI-Driven Adaptive Sampling System (AIDAS). The import package is now aidas (previously adam) and the distribution is now aidas-atmos on PyPI (previously adam-atmos).
adam-atmos is deprecated. A final transitional release forwards import adam to aidas with a DeprecationWarning; see compat/adam-atmos/.
Replaced the “digital twin” framing in the project description with adaptive sampling / instrument tasking, which describes what the system actually does.
Added aidas.util.aeqd_to_lonlat() and compute radar gate geolocation directly rather than delegating to PROJ, fixing a unit test regression across pyproj versions.

Added aidas.util.azimuth_from_ellipse() for deriving the instrument pointing direction from an ellipse fitted to the lake breeze mask.
Added unit tests covering the new azimuth utilities.
Expanded the notebook documentation.

Added the aidas.triggering module with adaptive scanning support for Halo Photonics lidars.
Added the aidas.testing module, including a reference test dataset and fake SSH/SFTP clients for exercising scan triggering without hardware.
Added docstrings and documented references for the testing and triggering modules.
Allowed the user to specify their own S3 bucket when fetching radar data, and changed the default bucket.
Fixed handling of radar_object when passed as either a list or an array.

Added aidas.util.azimuth_point() to determine the optimal instrument pointing direction for adaptive scanning.
Added unit tests for instrument pointing.
Published the documentation to GitHub Pages.