minor fixes (link added)

Author: prathameshnium

CONTRIBUTING.md

@@ -103,7 +103,7 @@ The easiest way to start is to copy an existing module that is closest to your t
 
 #### 2. Implement the Instrument Control Logic
 
-Start with the basic instrument communication, then add measurement protocols, data saving, and plotting. Ensure that instrument communication (handled by `PyVISA` or `pymeasure`) uses the correct SCPI commands,  Replace the existing SCPI commands (e.g., `*IDN?`, `:SOUR:VOLT`, `:MEAS:CURR?`) with the commands specific to your instrument.. Your instrument's programming manual is the definitive source for these commands.Adjust the data parsing logic to handle the output format of your instrument.
+Start with the basic instrument communication, then add measurement protocols, data saving, and plotting. Ensure that instrument communication (handled by `PyVISA` or `pymeasure`) uses the correct SCPI commands,  Replace the existing SCPI commands (e.g. `:SOUR:VOLT`, `:MEAS:CURR?`) with the commands specific to your instrument.. Your instrument's programming manual is the definitive source for these commands.Adjust the data parsing logic to handle the output format of your instrument.
 
 #### 3. Modify the GUI (`..._GUI.py`)
 

README.md

@@ -31,7 +31,7 @@
 
 ## Overview
 
-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.
+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 material samples. It operates as a versatile framework capable of running on any standard laboratory workstation.
 
 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.
 
@@ -78,7 +78,7 @@ PICA enables continuous operation across a full range of measurements, from ultr
 ## Key Features
 
 * **Accessibility:** A professional GUI dashboard allows researchers without coding experience to configure and run complex measurement protocols immediately using pre-packaged measurement modules.
-* **Operational Validation:** Validated via cryogenic transport measurements using a custom-designed probe in conjunction with a **Physical Property Measurement System (PPMS)** (5-380 K, up to 14 Tesla) at the UGC DAE Consortium for Scientific Research, Mumbai Centre.
+* **Operational Validation:** Validated via cryogenic transport measurements using a custom-designed probe in conjunction with a **Physical Property Measurement System (PPMS)** (5-380 K, up to 14 Tesla) at the [UGC DAE Consortium for Scientific Research, Mumbai Centre](https://www.csr.res.in/Mumbai_Centre).
 * **Fault Tolerance:** Control logic is isolated from the user interface. Hardware timeouts or driver crashes are prevented from freezing the main dashboard.
 * **Modular CLI Architecture:** Measurement modules contain CLI counterparts, allowing researchers to utilize PICA's protocol logic for headless automation or integration into other workflows without GUI overhead.
 * **Operational Transparency:** PICA rejects the "black box" paradigm by exposing real-time, time-stamped command logs (e.g., `[10:05:25] Keithley 6221: Ramping current to 10 mA`). This aids debugging, ensures scientific reproducibility, and allows verification of measurement protocols.
@@ -105,6 +105,25 @@ PICA utilizes [**PyVISA**](https://github.com/pyvisa/pyvisa) to abstract low-lev
 ### Testing and Simulation
 PICA includes a testing suite using `pytest` and `unittest.mock` to simulate VISA resources, allowing verification of backend logic streams and command sequences without constant access to physical instruments.
 
+**Running Tests Locally**
+
+To run the test suite locally, first install the development dependencies:
+```bash
+pip install -r requirements-dev.txt
+```
+Then, you can run the tests:
+```bash
+python -B -m pytest -p no:cacheprovider
+```
+
+**How to Check Coverage Locally**
+
+To see the coverage percentage on your local machine, run this command instead:
+
+```powershell
+python -B -m pytest --cov=pica --cov-report=term-missing -p no:cacheprovider
+```
+
 ---
 
 ## Supported Hardware Modules
@@ -247,25 +266,7 @@ Upon launching PICA (`pica-gui`), select your desired measurement module from th
 
 *The interface is designed to be minimalistic to reduce unnecessary user interaction during active high-precision, low-noise transport measurements.*
 
----
-## Running Tests
-
-To run the test suite locally, first install the development dependencies:
-```bash
-pip install -r requirements-dev.txt
-```
-Then, you can run the tests:
-```bash
-python -B -m pytest -p no:cacheprovider
-```
-
-How to Check Coverage Locally
-
-To see the coverage percentage on your local machine, run this command instead:
 
-```powershell
-python -B -m pytest --cov=pica --cov-report=term-missing -p no:cacheprovider
-```
 
 ### Experimental Linux Instructions
 

docs/User_Manual.md

@@ -37,7 +37,7 @@
 
 ## 1. Overview
 
-High-precision, low-noise transport measurements are essential for advancing research in spintronics and materials characterization. To enable such progress, highly precise and accurate automation software is required. 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. PICA is designed as a versatile framework capable of operating on any standard laboratory workstation. 
+High-precision, low-noise transport measurements are essential for advancing research in spintronics and materials characterization. To enable such progress, highly precise and accurate automation software is required. 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. PICA is designed as a versatile framework capable of operating on any standard laboratory workstation. 
 It 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 leverages community standard libraries as an alternative to licensed commercial software for instrument control.
 By utilising `threading` and `multiprocessing` capabilities, PICA ensures that the entire hardware ecosystem functions seamlessly and as a single cohesive unit. This allows the system to perform automated protocols, including temperature-dependent wide range resistance measurement (10<sup>-8</sup> - 10<sup>16</sup> Ω), current voltage (I-V) characterisation,  capacitance characterisation, and pyroelectric current measurement, and orchestrates measurements under varying magnetic fields and temperatures without requiring physical reconfiguration of the measurement setups.
 
@@ -565,7 +565,7 @@ The procedure for adding a new instrument module to PICA is described in the [CO
 
 - **Lead Developer:** [**Prathamesh Deshmukh**](https://www.researchgate.net/profile/Prathamesh-Deshmukh-6)
 - **Principal Investigator:** [**Dr. Sudip Mukherjee**](https://www.csr.res.in/Faculty/profile/889/893/Dr.SudipMukherjee)
-- **Affiliation:** UGC-DAE Consortium for Scientific Research, Mumbai Centre, Bhabha Atomic Research Centre, Mumbai, 400 085, Maharashtra, India
+- **Affiliation:** [UGC DAE Consortium for Scientific Research, Mumbai Centre](https://www.csr.res.in/Mumbai_Centre), Bhabha Atomic Research Centre, Mumbai, 400 085, Maharashtra, India
 
 ### Funding
 Financial support for this work was provided under SERB-CRG project grant No. CRG/2022/005676 from the Anusandhan National Research Foundation (ANRF).