Hodoscope can mean either a particle-physics instrument that helps reconstruct charged-particle tracks or a Python project for exploring AI-agent evaluation trajectories. They share a name, not a purpose. This guide explains both and shows how to tell which one you need.
What is a hodoscope?
In particle physics, a hodoscope is a position-sensitive detector: its elements register where charged particles pass, and researchers combine those positions to reconstruct a trajectory. The term is also the name of a software project that analyzes AI-agent evaluation trajectories. It is not one consumer device or a single standardized detector design.
For a dictionary definition, see Collins Dictionary’s entry for “hodoscope”. The technical details below distinguish the detector from the software.
How a particle-physics hodoscope works
As a charged particle crosses a detector element or plane, it produces a measurable signal. By combining position readings from multiple elements or planes, researchers can infer the particle’s path. Track information can contribute to locating interaction vertices; momentum can be measured in conjunction with a magnetic field, where the Lorentz force bends a charged particle’s path. Those uses depend on the wider detector setup, not on a universal hodoscope specification.
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Scintillator with photodetector
In one approach, a particle deposits energy in scintillating material, which emits light. A photodetector converts that light into an electrical signal. The signal identifies the element or location the particle crossed.
Silicon-strip detector
Another approach uses silicon strips. Particle interactions generate charge in the silicon, and the readout provides position information for tracking. Hamamatsu describes both approaches in its particle-physics detector overview.
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A specific example: TIGER
The TIGER instrument at Washington University illustrates one implementation, not a standard that applies to every hodoscope. Its layers use planes of scintillating optical fibers, with photomultiplier readout to locate a particle’s entry and infer its trajectory. See the TIGER instrument description.
What matters when choosing or designing a detector
There is no evidence here for a universally superior sensing technology. The appropriate design depends on the experiment and full detector system. Relevant considerations include:
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- Sensing method: scintillator with photodetector or silicon strips.
- Position performance: spatial resolution and the dimensions of position-sensitive elements.
- Effect on the particle path: material and detector size in the path can matter to the measurement.
- Timing and event rate: response speed and dead time affect which events can be recorded and how quickly.
- Geometry and readout: the arrangement and specifications must fit the intended application.
Hamamatsu discusses these design considerations, but the available material does not establish a single set of performance values for hodoscopes as a class.
What the Hodoscope AI-agent software does
Hodoscope is also the name of a Python project for exploring large collections of AI-agent evaluation actions. Its README describes its purpose as “Unsupervised, human-in-the-loop trajectory analysis for AI agents.” The project’s stated workflow is to take evaluation trajectories, extract actions, summarize them with language models, embed the summaries, and display the results in interactive two-dimensional visualizations. Users can inspect patterns and compare groups using metadata.
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The README documents inputs including .eval files, directories, and Docent collections, along with visualization options. These are the project’s documented capabilities; they should not be read as independent evidence that the software detects every form of agent misbehavior or improves evaluation outcomes. The current instructions and supported inputs are in the Hodoscope GitHub repository.
Installing the software
The project README lists Python 3.11 or later, the command pip install hodoscope, and OpenAI and Gemini API keys by default. It also says other LiteLLM-compatible providers, such as OpenRouter, can be configured. Because software requirements and provider settings can change, consult the repository’s current setup instructions before installing or choosing an API provider. The package is also listed on PyPI.
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- Install Python 3.11 or later.
- Install the package with
pip install hodoscope. - Configure the API provider and credentials required by the current project instructions.
- Supply a supported trajectory source, such as a documented
.evalfile, directory, or Docent collection, and follow the repository instructions to generate and inspect visualizations.
Summarization and embedding use language-model services, so API access may be required. The sources reviewed do not establish current model defaults or usage costs; verify those details with the project and provider before processing a dataset.
Quick Recap
Which meaning applies to you?
- If you are reading about particle tracking, experiments, or detector construction, “hodoscope” means the physics instrument.
- If you are working with AI-agent evaluations, trajectory data, Python, or language-model APIs, it likely means the Hodoscope software project.
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