Pete Bachant
@petebachant.me
Bicycles, fluid dynamics, Python, open source, open science, reproducibility. https://petebachant.me | https://calkit.org
Calkit was used to automate the 39 different alert processing runs, analyze the output, and compile the paper with LaTeX. Throughout the project, the paper's results, figures, text, and references were automatically synced with Overleaf, where most of the writing was done.
arxiv.org/abs/2511.00164
arxiv.org/abs/2511.00164
BOOM and Babamul: a real-time, multi-survey, optical alert broker system operating at scale
With the arrival of ever higher throughput wide-field surveys and a multitude of multi-messenger and multi-wavelength instruments to complement them, software capable of harnessing these associated da...
arxiv.org
November 7, 2025 at 5:09 PM
Calkit was used to automate the 39 different alert processing runs, analyze the output, and compile the paper with LaTeX. Throughout the project, the paper's results, figures, text, and references were automatically synced with Overleaf, where most of the writing was done.
arxiv.org/abs/2511.00164
arxiv.org/abs/2511.00164
I'd also argue that things might be getting worse. Researchers have access to even more complex tooling when it comes to doing computations: bigger ML models, GPUs, etc. Keeping workflows reproducible is a huge task. I'd argue it's worth it, but only if can be done cheaply.
October 3, 2025 at 11:47 AM
I'd also argue that things might be getting worse. Researchers have access to even more complex tooling when it comes to doing computations: bigger ML models, GPUs, etc. Keeping workflows reproducible is a huge task. I'd argue it's worth it, but only if can be done cheaply.
Still trying to learn what makes my requests so unreasonable
September 18, 2025 at 11:26 PM
Still trying to learn what makes my requests so unreasonable
In other words, it's fine to arrive at something you like interactively, but if you want to share it, put it into the pipeline first.
September 16, 2025 at 2:28 PM
In other words, it's fine to arrive at something you like interactively, but if you want to share it, put it into the pipeline first.
And if you want to see a real-world example: github.com/petebachant/...
GitHub - petebachant/clima-gpu-profiling: Profiling GPU performance for CliMA
Profiling GPU performance for CliMA. Contribute to petebachant/clima-gpu-profiling development by creating an account on GitHub.
github.com
September 15, 2025 at 2:55 PM
And if you want to see a real-world example: github.com/petebachant/...
That is what I do, but an easier way might be nice :)
September 15, 2025 at 1:41 PM
That is what I do, but an easier way might be nice :)