Blop
++ a BeamLine Optimization Package +
+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 targets rapid beamline data acquisition + and control. +
++ Our goal is to provide a simple and practical data-driven + optimization interface for beamline experiments. +
++ +
Installation
+ + +PyTorch Installation Options
+
+ By default, blop installs PyTorch with GPU support (~7GB).
+ For environments without GPU support, or to reduce installation size, you can install a CPU-only version (~900MB) using uv.
+ This is particularly useful for containerized environments with GPU access, CI/CD pipelines, development environments on laptops without NVIDIA GPUs, or edge computing scenarios.
+
+ Note: CPU-only installation requires uv, a fast Python package installer. +
+Via PyPI
+ + +Standard (GPU support):
+$ pip install blop
+
+
+ CPU-only (containers, CI/CD, laptops):
+$ pip install uv+
$ uv pip install blop[cpu]
+
+
+ Via Conda-forge
+ + +Standard:
+$ conda install -c conda-forge blop
+
+
+ CPU-only:
+$ conda install -c conda-forge blop pytorch cpuonly -c pytorch
+
+
+ + + +
Learn More!
+ ++ +
References
+If you use this package in your work, please cite the following paper:
+ +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},
+ }
+
+