minor grammer fixes

Author: prathameshnium

paper/paper.md

@@ -71,11 +71,11 @@ PICA is built on a modular architecture characterised by self-contained modules,
 
 ### Process Isolation and Concurrency 
 
-Unlike simple script-based automation, PICA decouples the User Interface (UI) from the instrumentation control logic. It utilises Python's standard `multiprocessing` libraries to spawn isolated processes for measurement tasks.
+Unlike simple script-based automation, PICA decouples the User Interface (UI) from the instrumentation control logic. It utilises Python's standard `multiprocessing` library to spawn isolated processes for measurement tasks.
 
 * **Stability:** If an instrument hangs or a communication bus times out, the isolated process can be terminated safely without freezing the main  GUI or losing previous data.
 
-* **Responsiveness:** The `tkinter`-based frontend remains responsive for live data plotting (using `matplotlib` [@hunter2007matplotlib] with blitting) even while the backend waits for hardware triggers. Numpy [@harris2020numpy] is utilised throughout this pipeline for efficient array manipulation and data validation during real-time updates.
+* **Responsiveness:** The `tkinter`-based frontend remains responsive for live data plotting (using `matplotlib` [@hunter2007matplotlib] with blitting) even while the backend waits for hardware triggers. NumPy [@harris2020numpy] is utilised throughout this pipeline for efficient array manipulation and data validation during real-time updates.
 
 * **Data Integrity:** Experimental data integrity is prioritised through a "write on acquisition" strategy. Data is structured using `pandas` [@pandas2025] and is saved to a `CSV` file immediately after every acquisition point, preventing data loss in the event of a power failure or program/system crash.