In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
In Python Physics Lesson 24, we explore the simulation of a dipole electric field! Learn how to model electric fields using Python, visualize field lines, and understand the principles of dipole ...
In Python Physics Lesson 14, we explore the simulation of elastic collisions and springs! Learn how to model collisions, spring dynamics, and energy transfer using Python, with step-by-step coding and ...
The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
OFDM baseband transceiver: theoretical BER (AWGN), Monte Carlo BER vs SNR, QPSK and 16-QAM, AWGN and multipath channels, ZF/MMSE equalization, EVM (Error Vector ...
Abstract: The ever-expanding scale of integrated circuits has brought about a significant rise in the design risks associated with radiation-resistant integrated circuit chips. Traditional ...
Abstract: We introduce the QARN (Quantum Accelerated and Reconfigurable, Noisy) simulator, an efficient and scalable state vector based quantum circuit simulator. Implemented in Python, QARN delivers ...
Ocean surface waves are inherently irregular and stochastic. While individual wave events appear chaotic and unpredictable, the collective behavior of wave fields exhibits robust statistical structure ...