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## Overview
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High precision low noise transport measurements are essential for advancing research in spintronics and materials characterization. **PICA (Python-based Instrument Control and Automation)** is a modular, open-source software suite designed to automate advanced transport measurements for electronic devices and chemical samples. It operates as a versatile framework capable of running on any standard laboratory workstation.
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High precision low noise transport measurements are essential for advancing research in spintronics and materials characterisation. **PICA (Python-based Instrument Control and Automation)** is a modular, open-source software suite designed to automate advanced transport measurements for electronic devices and chemical samples. It operates as a versatile framework capable of running on any standard laboratory workstation.
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PICA provides an extensible, unified graphical user interface (GUI) for orchestrating high-precision instruments, specifically current source (DC/AC) units, nanovoltmeters, high resistance electrometers, impedance analyzers, and temperature controllers. Built on the robust Python scientific ecosystem, PICA ensures that the entire hardware ecosystem functions seamlessly as a cohesive unit.
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PICA provides an extensible, unified graphical user interface (GUI) for orchestrating high-precision instruments, specifically current source (DC/AC) units, nanovoltmeters, high resistance electrometers, impedance analyser, and temperature controllers. Built on the robust Python scientific ecosystem, PICA ensures that the entire hardware ecosystem functions seamlessly as a cohesive unit.
* Pyroelectric current measurement (resolution $10^{-15}$ A).
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## Motivation
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Advancements in experimental physics and device manufacturing depend on the precise characterization of material properties under extreme physical conditions. Researchers often face a binary choice: purchase expensive proprietary software or develop custom measurement scripts from scratch.
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Advancements in experimental physics and device manufacturing depend on the precise characterisation of material properties under extreme physical conditions. Researchers often face a binary choice: purchase expensive proprietary software or develop custom measurement scripts from scratch.
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While libraries such as [**PyVISA**](https://github.com/pyvisa/pyvisa) and [**PyMeasure**](https://github.com/pymeasure/pymeasure) provide foundational drivers, requiring users to write and maintain low-level code, **PICA builds upon these powerful libraries** to offer a turnkey application. It provides a ready-to-run graphical interface that abstracts the underlying control logic, allowing experimentalists to focus on data acquisition without extensive software development overhead.
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|**Pyroelectric**|**K6517B** + **Temp Controller**| Current vs Temp (detecting Curie temperature). | $10^{-15}$ A Resolution |
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*While the current implementation drives specific instruments, the underlying framework is highly customizable. Researchers need only replace specific SCPI commands to utilize the suite with different models.*
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