A Low Offset Dynamic Comparator with Offset Elimination Circuit

A new dynamic comparator with offset elimination circuit is proposed. The offset elimination circuit decreases the influence of the offset voltage effectively and increases the resolution of the comparator. The simulation results show that, if the pre-set offset voltage is 10[Formula: see text]mV, the offset elimination circuit can decrease to the enough low value, which meets the requirements of the system. The standard deviation of the offset voltage decreases from 7.27[Formula: see text]mV to 1.15[Formula: see text]mV with the utilization of the offset elimination circuit in Monte Carlo simulation.

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A High-Speed and Low-Offset Dynamic Latch Comparator

The Scientific World JOURNAL ◽

10.1155/2014/258068 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 9

Author(s):

Labonnah Farzana Rahman ◽

Mamun Bin Ibne Reaz ◽

Chia Chieu Yin ◽

Mohammad Marufuzzaman ◽

Mohammad Anisur Rahman

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Power Dissipation ◽

High Speed ◽

Cmos Process ◽

Clock Frequency ◽

Analog To Digital ◽

Offset Voltage ◽

Simulation Results ◽

Low Offset

Circuit intricacy, speed, low-offset voltage, and resolution are essential factors for high-speed applications like analog-to-digital converters (ADCs). The comparator circuit with preamplifier increases the power dissipation, as it requires higher amount of currents than the latch circuitry. In this research, a novel topology of dynamic latch comparator is illustrated, which is able to provide high speed, low offset, and high resolution. Moreover, the circuit is able to reduce the power dissipation as the topology is based on latch circuitry. The cross-coupled circuit mechanism with the regenerative latch is employed for enhancing the dynamic latch comparator performance. In addition, input-tracking phase is used to reduce the offset voltage. The Monte-Carlo simulation results for the designed comparator in 0.18 μm CMOS process show that the equivalent input-referred offset voltage is 720 μV with 3.44 mV standard deviation. The simulated result shows that the designed comparator has 8-bit resolution and dissipates 158.5 μW of power under 1.8 V supply while operating with a clock frequency of 50 MHz. In addition, the proposed dynamic latch comparator has a layout size of148.80 μm×59.70 μm.

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A LOW OFFSET COMPARATOR FOR HIGH SPEED LOW POWER ADC

Journal of Circuits System and Computers ◽

10.1142/s0218126613500618 ◽

2013 ◽

Vol 22 (07) ◽

pp. 1350061 ◽

Cited By ~ 2

Author(s):

ZHANGMING ZHU ◽

WEITIE WANG ◽

YUHENG GUAN ◽

SHUBIN LIU ◽

YU XIAO ◽

...

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Low Power ◽

High Speed ◽

Cmos Process ◽

Amplifier Circuit ◽

Offset Cancellation ◽

Offset Voltage ◽

Low Offset

A novel low offset, high speed, low power comparator architecture is proposed in this paper. In order to achieve low offset, both offset cancellation and dynamic amplifier techniques are adopted. Active resistors are chosen to implement the static amplifier circuit to obtain reduction in equivalent input referred offset voltage as well as to increase the circuit speed. The comparator is designed in TSMC 0.18 μm CMOS process. Monte Carlo simulation shows that the comparator has the offset voltage as low as 0.3 mV at 1 sigma at 250 MHz while dissipates 342 μW from a 1.8 V supply.

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Coping with uncertainties in integrated urban water management

Water Science & Technology ◽

10.2166/wst.1997.0677 ◽

1997 ◽

Vol 36 (8-9) ◽

pp. 265-269

Author(s):

Govert D. Geldof

Keyword(s):

Water Management ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Interdisciplinary Approach ◽

Urban Water ◽

Urban Water Management ◽

Integrated Water Management ◽

Good Design ◽

Management Techniques ◽

Simulation Results

In the practice of integrated water management we meet complexity, subjectivity and uncertainties. Uncertainties come into play when new urban water management techniques are applied. The art of a good design is not to reduce uncertainties as much as possible, but to find the middle course between cowardice and recklessness. This golden mean represents bravery. An interdisciplinary approach is needed to reach consensus. Calculating uncertainties by using Monte Carlo simulation results may be helpful.

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Cheating at Craps

ACM SIGMETRICS Performance Evaluation Review ◽

10.1145/3466826.3466845 ◽

2021 ◽

Vol 48 (4) ◽

pp. 53-61

Author(s):

Andrea Marin ◽

Carey Williamson

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Modeling And Simulation ◽

Analytical Model ◽

Quantitative Evaluation ◽

Mathematical Analysis ◽

Simulation Modeling ◽

Analytical Modeling ◽

The World ◽

Simulation Results

Craps is a simple dice game that is popular in casinos around the world. While the rules for Craps, and its mathematical analysis, are reasonably straightforward, this paper instead focuses on the best ways to cheat at Craps, by using loaded (biased) dice. We use both analytical modeling and simulation modeling to study this intriguing dice game. Our modeling results show that biasing a die away from the value 1 or towards the value 5 lead to the best (and least detectable) cheating strategies, and that modest bias on two loaded dice can increase the winning probability above 50%. Our Monte Carlo simulation results provide validation for our analytical model, and also facilitate the quantitative evaluation of other scenarios, such as heterogeneous or correlated dice.

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A Comparison of Different Data-driven Procedures to Determine the Bunching Window

Public Finance Review ◽

10.1177/1091142121993055 ◽

2021 ◽

Vol 49 (2) ◽

pp. 262-293

Author(s):

Vincent Dekker ◽

Karsten Schweikert

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Income Distribution ◽

Prior Information ◽

Structural Breaks ◽

Data Driven ◽

Taxable Income ◽

Counterfactual Models ◽

Simulation Results ◽

Second Procedure

In this article, we compare three data-driven procedures to determine the bunching window in a Monte Carlo simulation of taxable income. Following the standard approach in the empirical bunching literature, we fit a flexible polynomial model to a simulated income distribution, excluding data in a range around a prespecified kink. First, we propose to implement methods for the estimation of structural breaks to determine a bunching regime around the kink. A second procedure is based on Cook’s distances aiming to identify outlier observations. Finally, we apply the iterative counterfactual procedure proposed by Bosch, Dekker, and Strohmaier which evaluates polynomial counterfactual models for all possible bunching windows. While our simulation results show that all three procedures are fairly accurate, the iterative counterfactual procedure is the preferred method to detect the bunching window when no prior information about the true size of the bunching window is available.

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The effect of social distancing on the reach of an epidemic in social networks

Journal of Economic Interaction and Coordination ◽

10.1007/s11403-021-00322-9 ◽

2021 ◽

Author(s):

Gregory Gutin ◽

Tomohiro Hirano ◽

Sung-Ha Hwang ◽

Philip R. Neary ◽

Alexis Akira Toda

Keyword(s):

Public Health ◽

Infectious Disease ◽

Social Networks ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Disease Transmission ◽

Global Level ◽

Social Distancing ◽

The Public ◽

Simulation Results

AbstractHow does social distancing affect the reach of an epidemic in social networks? We present Monte Carlo simulation results of a susceptible–infected–removed with social distancing model. The key feature of the model is that individuals are limited in the number of acquaintances that they can interact with, thereby constraining disease transmission to an infectious subnetwork of the original social network. While increased social distancing typically reduces the spread of an infectious disease, the magnitude varies greatly depending on the topology of the network, indicating the need for policies that are network dependent. Our results also reveal the importance of coordinating policies at the ‘global’ level. In particular, the public health benefits from social distancing to a group (e.g. a country) may be completely undone if that group maintains connections with outside groups that are not following suit.

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Should a hotter paramagnet transform quicker to a ferromagnet? Monte Carlo simulation results for Ising model

Physical Chemistry Chemical Physics ◽

10.1039/d1cp00879j ◽

2021 ◽

Author(s):

Subir K Das ◽

Nalina Vadakkayil

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Ising Model ◽

Simulation Results ◽

Heating Up

For quicker formation of ice, before inserting inside a refrigerator, heating up of a body of water can be beneficial. We report first observation of a counterpart of this intriguing...

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Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

Instruments ◽

10.3390/instruments5020017 ◽

2021 ◽

Vol 5 (2) ◽

pp. 17

Author(s):

Eldred Lee ◽

Kaitlin M. Anagnost ◽

Zhehui Wang ◽

Michael R. James ◽

Eric R. Fossum ◽

...

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Quantum Yield ◽

Photon Energy ◽

High Efficiency ◽

High Energy ◽

Yield Enhancement ◽

X Ray ◽

Simulation Results ◽

Conversion Efficiencies

High-energy (>20 keV) X-ray photon detection at high quantum yield, high spatial resolution, and short response time has long been an important area of study in physics. Scintillation is a prevalent method but limited in various ways. Directly detecting high-energy X-ray photons has been a challenge to this day, mainly due to low photon-to-photoelectron conversion efficiencies. Commercially available state-of-the-art Si direct detection products such as the Si charge-coupled device (CCD) are inefficient for >10 keV photons. Here, we present Monte Carlo simulation results and analyses to introduce a highly effective yet simple high-energy X-ray detection concept with significantly enhanced photon-to-electron conversion efficiencies composed of two layers: a top high-Z photon energy attenuation layer (PAL) and a bottom Si detector. We use the principle of photon energy down conversion, where high-energy X-ray photon energies are attenuated down to ≤10 keV via inelastic scattering suitable for efficient photoelectric absorption by Si. Our Monte Carlo simulation results demonstrate that a 10–30× increase in quantum yield can be achieved using PbTe PAL on Si, potentially advancing high-resolution, high-efficiency X-ray detection using PAL-enhanced Si CMOS image sensors.

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