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<meta name="citation_title" content="PICA: Advanced High-Precision Transport Measurement Automation with Python">
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<meta name="citation_author" content="Deshmukh, Prathamesh">
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<meta name="citation_author" content="Mukherjee, Sudip">
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<meta name="citation_date" content="2025/12/22">
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<meta name="citation_publication_date" content="2025/12/22">
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<meta name="citation_doi" content="10.5281/zenodo.18377216">
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<meta name="citation_keywords" content="Python, Hardware Control, Automation, PyVISA, Condensed Matter Physics, Cryogenics, SCPI, Instrumentation">
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<meta name="citation_abstract" content="PICA (Python-based Instrument Control and Automation) is a modular open-source software suite designed to automate advanced transport measurements. It supports resistance measurements covering 24 orders of magnitude (10^-8 to 10^16 Ω) and integrates with Keithley, Keysight, and Lakeshore hardware using a multiprocessing architecture.">
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</style>
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</head>
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<body>
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<header>
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<h1>PICA: Advanced High-Precision Transport Measurement Automation with Python</h1>
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<p><strong>Prathamesh Deshmukh<sup>1,2</sup> and Sudip Mukherjee<sup>1,2</sup></strong></p>
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<p><small>1. UGC-DAE Consortium for Scientific Research, Mumbai Centre<br>
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2. Savitribai Phule Pune University, Pune, India</small></p>
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</header>
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<div class="container">
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<header>
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<h1>PICA: Advanced High-Precision Transport Measurement Automation with Python</h1>
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<p class="authors">Prathamesh Deshmukh<sup>1,2</sup> and Sudip Mukherjee<sup>1,2</sup></p>
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<p class="affiliations">
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1. UGC-DAE Consortium for Scientific Research, Mumbai Centre<br>
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2. Savitribai Phule Pune University, Pune, India
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</p>
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</header>
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<div class="meta-box">
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<strong>Preprint Status:</strong> Published on December 22, 2025.<br>
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<strong>DOI (Zenodo):</strong> <a href="https://doi.org/10.5281/zenodo.18377216" class="doi-badge">10.5281/zenodo.18377216</a><br>
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<strong>DOI (OSF):</strong> <a href="https://doi.org/10.17605/OSF.IO/7QK2S" class="osf-badge">10.17605/OSF.IO/7QK2S</a>
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</div>
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<main>
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<div class="meta-box">
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<strong>Preprint Status:</strong> Published on December 22, 2025<br>
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<strong>DOI (Zenodo):</strong> <a href="https://doi.org/10.5281/zenodo.18377216" class="badge badge-zenodo">10.5281/zenodo.18377216</a><br>
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<strong>DOI (OSF):</strong> <a href="https://doi.org/10.17605/OSF.IO/7QK2S" class="badge badge-osf">10.17605/OSF.IO/7QK2S</a>
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</div>
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<section>
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<h2>Abstract</h2>
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<p>
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PICA (Python-based Instrument Control and Automation) is a modular open-source software suite designed to automate advanced transport measurements for electronic devices and material samples. It provides an extensible, unified GUI-based framework to coordinate high-precision instruments including current sources (DC/AC), nanovoltmeters, electrometers, impedance analysers, and temperature controllers.
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</p>
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<a href="pica-paper.pdf" class="btn">View PDF Preprint</a>
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<a href="https://www.academia.edu/165176821/PICA_Advanced_High_Precision_Transport_Measurement_Automation_with_Python" class="btn" style="margin-left: 10px;">View on Academia.edu</a>
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<a href="https://osf.io/7qk2s/files/gc93r" class="btn btn-osf" style="margin-left: 10px;">View on OSF</a>
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</section>
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<section>
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<h2>Abstract</h2>
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<p class="abstract-text">
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PICA (Python-based Instrument Control and Automation) is a modular open-source software suite designed to automate advanced transport measurements for electronic devices and material samples. It provides an extensible, unified GUI-based framework to coordinate high-precision instruments including current sources (DC/AC), nanovoltmeters, electrometers, impedance analysers, and temperature controllers.
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</p>
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<div class="btn-group">
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<a href="https://prathameshnium.github.io/PICA-Python-Instrument-Control-and-Automation/publications/pica-paper.pdf" class="btn">View PDF Preprint</a>
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<a href="https://www.academia.edu/165176821/PICA_Advanced_High_Precision_Transport_Measurement_Automation_with_Python" class="btn btn-secondary">Academia.edu</a>
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<a href="https://osf.io/7qk2s/files/gc93r" class="btn btn-osf">OSF Repository</a>
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</div>
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</section>
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<section>
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<h2>Key Capabilities</h2>
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<table>
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<thead>
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<tr>
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<th>Feature</th>
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<th>Specification / Support</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td><strong>Resistance Range</strong></td>
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<td>10<sup>-8</sup> Ω to 10<sup>16</sup> Ω (24 orders of magnitude)</td>
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</tr>
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<tr>
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<td><strong>Architecture</strong></td>
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<td>Multiprocessing (UI-Isolation) & Fault Tolerant</td>
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</tr>
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<tr>
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<td><strong>Hardware Brands</strong></td>
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<td>Keithley, Keysight, Lakeshore, Quantum Design (PPMS)</td>
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</tr>
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<tr>
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<td><strong>Measurements</strong></td>
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<td>I-V, R vs T, Capacitance, Pyroelectric Current</td>
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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<h2>Key Capabilities</h2>
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<table>
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<thead>
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<tr>
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<th>Feature</th>
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<th>Specification / Support</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td><strong>Resistance Range</strong></td>
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<td>10<sup>-8</sup> Ω to 10<sup>16</sup> Ω (24 orders of magnitude)</td>
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</tr>
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<tr>
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<td><strong>Architecture</strong></td>
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<td>Multiprocessing (UI-Isolation) & Fault Tolerant</td>
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</tr>
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<tr>
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<td><strong>Hardware Brands</strong></td>
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<td>Keithley, Keysight, Lakeshore, Quantum Design (PPMS)</td>
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</tr>
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<tr>
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<td><strong>Measurements</strong></td>
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<td>I-V, R vs T, Capacitance, Pyroelectric Current</td>
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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<h2>How to Cite</h2>
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<p>Please use the following BibTeX entry for citations:</p>
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<pre>
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@techreport{deshmukh2025pica,
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<section>
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<h2>How to Cite</h2>
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<p>Please use the following BibTeX entry for citations:</p>
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<pre><code>@techreport{deshmukh2025pica,
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title={PICA: Advanced High-Precision Transport Measurement Automation with Python},
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author={Deshmukh, Prathamesh and Mukherjee, Sudip},
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institution={UGC-DAE Consortium for Scientific Research, Mumbai Centre},
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type={Preprint},
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doi={10.5281/zenodo.18377216},
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url={https://prathameshnium.github.io/PICA-Python-Instrument-Control-and-Automation/}
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}</pre>
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</section>
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}</code></pre>
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</main>
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<footer>
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<hr>
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<p><small>This work was supported by the SERB-CRG project grant No. CRG/2022/005676 from the Anusandhan National Research Foundation (ANRF), India.</small></p>
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<p><small>Contact: <a href="mailto:sudipm@csr.res.in">sudipm@csr.res.in</a></small></p>
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</footer>
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<footer>
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<p>This work was supported by the SERB-CRG project grant No. CRG/2022/005676 from the Anusandhan National Research Foundation (ANRF), India.</p>
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<p>Contact: <a href="mailto:sudipm@csr.res.in">sudipm@csr.res.in</a></p>
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</footer>
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