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@@ -42,9 +42,9 @@ While powerful ecosystem libraries such as PyVISA [@grecco2023pyvisa] and PyMeas
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PICA addresses this gap by functioning as a turnkey application rather than as a library. It offers a "ready-to-run" graphical interface that abstracts the underlying control logic, allowing experimentalists to focus on data acquisition without needing to develop custom software scripts for the supported hardware configurations.
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PICA’s architecture is designed to be highly configurable, enabling users to readily adapt it to their specific requirements and to implement user‑defined protocols in addition to the standard measurement protocols already provided. It eliminates the need for reconfiguring the measurement setup to achieve comprehensive characterisation, enabling continuous operation across the full range from Delta-mode low-resistance measurements (the current reversal technique effectively removes constant offsets and improves the signal-to-noise ratio) to high-impedance electrometric measurements, ranging from low-noise superconductors to high-band gap insulators (covering 24 orders of magnitude in resistance) using a single unified framework.
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Pyroelectric measurement performed using an electrometer enable highly sensitive characterization of ferroelectric phase transitions by detecting extremely small pyroelectric currents, with a resolution on the order of $10^{-15}$ A.The impedance analyzer enables the characterization of dielectric anomalies over the frequency range from 20 Hz to 2 MHz and is utilized for magnetodielectric and photoinduced characterization across a wide variety of multiferroic systems.Thus, the primary objective of PICA is to serve as a robust software platform that enables advanced, state‑of‑the‑art, high‑precision characterisation of materials.
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Pyroelectric measurement performed using an electrometer enables highly sensitive characterization of ferroelectric phase transitions by detecting extremely small pyroelectric currents, with a resolution on the order of $10^{-15}$ A.The impedance analyzer enables the characterization of dielectric anomalies over the frequency range from 20 Hz to 2 MHz and is utilized for magnetodielectric and photoinduced characterization across a wide variety of multiferroic systems. Thus, the primary objective of PICA is to serve as a robust software platform that enables advanced, state‑of‑the‑art, high‑precision characterisation of materials.
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The system is currently validated with industry-standard hardware, including the AC-DC current source (Model: 6221, Keithley), the Nanovoltmeter (Model:2182, Keithley) , the Electrometer (Model:6517B,Keithley), the DC Source Measure Unit (Model:2400, Keithley), the impedance analyser (Model:E4980A, Keysight), and the temperature controller (Model: 350/340, Lakeshore). While the current implementation drives specific instruments, the underlying framework is hardware agnostic. Researchers using different hardware models need only replace the specific SCPI commands with their instrument equivalent commands to utilise the suite.
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The system is currently validated with industry-standard hardware, including the AC-DC current source (Model: 6221, Keithley), the Nanovoltmeter (Model:2182, Keithley), the Electrometer (Model:6517B, Keithley), the DC Source Measure Unit (Model:2400, Keithley), the impedance analyser (Model: E4980A, Keysight), and the temperature controller (Model: 350/340, Lakeshore). While the current implementation drives specific instruments, the underlying framework is hardware agnostic. Researchers using different hardware models need only replace the specific SCPI commands with their instrument equivalent commands to utilise the suite.
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It differentiates itself through the following unique features:
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