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Imran Aziz

Publications and source records attributed to Imran Aziz.

3 recordsLinked to original sources

Design, Development and Testing of a Conformal 60 GHz Active Repeater for High Energy Physics Applications

The Wireless Allowing Data and Power Transmission (WADAPT) proposal was formed to study the feasibility of wireless technologies in HEP experiments. A strong motivation for using wireless data transmission at the ATLAS detector is the absence of wires and connectors to reduce the passive material. However, the tracking layers are almost hermetic, acting as a Faraday cage, that doesn't allow propagation between the layers. For radial readout of the detector data through the layers, we have developed an active repeater board, which is passed through a 2-3 mm wide slit between the modules on the tracking layers. The repeater is also advantageous in building topological radial networks for neuromorphic tracking. The active repeater board consists of an RX antenna, an amplifier, and a TX antenna, and is tested on a mockup in a way that the RX antenna will be on the inner side of a module, and the TX antenna will be on the outer side of the same module, as the 10-mil thick conformal board is passed through the small slit. Transmission through the tracking layers using the repeater has been demonstrated with two horn antennas, a signal generator, and a spectrum analyzer. For 20 cm distance between the horn antenna and the repeater board, a receive level of -19.5 dBm was achieved. In comparison, with the same setup but with the amplifier turned off, the receive level was ~-46 dBm. The results show a significant milestone towards the implementation of 60 GHz links for detector data readout.

physics.ins-det

Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting

Accurate solar power forecasting is pivotal for the global transition towards sustainable energy systems. This study conducts a meticulous comparison between Quantum Long Short-Term Memory (QLSTM) and classical Long Short-Term Memory (LSTM) models for solar power production forecasting. The primary objective is to evaluate the potential advantages of QLSTMs, leveraging their exponential representational capabilities, in capturing the intricate spatiotemporal patterns inherent in renewable energy data. Through controlled experiments on real-world photovoltaic datasets, our findings reveal promising improvements offered by QLSTMs, including accelerated training convergence and substantially reduced test loss within the initial epoch compared to classical LSTMs. These empirical results demonstrate QLSTM's potential to swiftly assimilate complex time series relationships, enabled by quantum phenomena like superposition. However, realizing QLSTM's full capabilities necessitates further research into model validation across diverse conditions, systematic hyperparameter optimization, hardware noise resilience, and applications to correlated renewable forecasting problems. With continued progress, quantum machine learning can offer a paradigm shift in renewable energy time series prediction, potentially ushering in an era of unprecedented accuracy and reliability in solar power forecasting worldwide. This pioneering work provides initial evidence substantiating quantum advantages over classical LSTM models while acknowledging present limitations. Through rigorous benchmarking grounded in real-world data, our study illustrates a promising trajectory for quantum learning in renewable forecasting.

quant-ph

Effects of Proton Irradiation on 60 GHz CMOS Transceiver Chip for Multi-Gbps Communication in High-Energy Physics Experiments

This paper presents the experimental results of $17~MeV$ proton irradiation on a $60~GHz$ low power, half-duplex transceiver (TRX) chip implemented in $65~nm$ CMOS technology. It supports short range point-to-point data rate up to $6~Gbps$ by employing on-off keying (OOK). To investigate the irradiation hardness for high energy physics applications, two TRX chips were irradiated with total ionizing doses (TID) of $74~kGy$ and $42~kGy$ and fluence of $1.4~\times$10$^{14}~ N_{eq}/cm^2$ and $0.8~\times$10$^{14}~N_{eq}/cm^2$ for RX and TX modes, respectively. The chips were characterized by pre- and post-irradiation analogue voltage measurements on different circuit blocks as well as through the analysis of wireless transmission parameters like bit error rate (BER), eye diagram, jitter etc. Post-irradiation measurements have shown certain reduction in performance but both TRX chips have been found operational through over the air measurements at $5~Gbps$. Moreover, very small shift in the carrier frequency was observed after the irradiation.

physics.ins-det