What is Blop?#

Blop is a Python library for performing optimization for beamline experiments. It is designed to integrate nicely with the Bluesky ecosystem and primarily acts as a bridge between optimization routines and fine-grained data acquisition and control. Our goal is to provide a simple and practical data-driven optimization interface for beamline experiments.

Documentation structure#

Citation#

If you use this package in your work, please cite the following paper:

Morris, T. W., Rakitin, M., Du, Y., Fedurin, M., Giles, A. C., Leshchev, D., Li, W. H., Romasky, B., Stavitski, E., Walter, A. L., Moeller, P., Nash, B., & Islegen-Wojdyla, A. (2024). A general Bayesian algorithm for the autonomous alignment of beamlines. Journal of Synchrotron Radiation, 31(6), 1446–1456. https://doi.org/10.1107/S1600577524008993

BibTeX:

@Article{Morris2024,
  author   = {Morris, Thomas W. and Rakitin, Max and Du, Yonghua and Fedurin, Mikhail and Giles, Abigail C. and Leshchev, Denis and Li, William H. and Romasky, Brianna and Stavitski, Eli and Walter, Andrew L. and Moeller, Paul and Nash, Boaz and Islegen-Wojdyla, Antoine},
  journal  = {Journal of Synchrotron Radiation},
  title    = {{A general Bayesian algorithm for the autonomous alignment of beamlines}},
  year     = {2024},
  month    = {Nov},
  number   = {6},
  pages    = {1446--1456},
  volume   = {31},
  doi      = {10.1107/S1600577524008993},
  keywords = {Bayesian optimization, automated alignment, synchrotron radiation, digital twins, machine learning},
  url      = {https://doi.org/10.1107/S1600577524008993},
}