Design of Achromatic Combined Quadrupole Lens Using the Modified Bell-Shaped Field Distribution Model

Fatma N. Gaafer

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Publication Date

Thu Dec 01 2011

Journal Name

Iraqi Journal Of Physics

Volume

9

Issue Number

16

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Design of Achromatic Combined Quadrupole Lens Using the Modified Bell-Shaped Field Distribution Model

Combined Quadrupole Lens

Achromatic Lens

Modified Bell-Shaped Model

Fatma N. Gaafer

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The optimization calculations are made to find the optimum properties of combined quadrupole lens consist of electrostatic and magnetic lenses to produce achromatic lens. The modified bell-shaped model is used and the calculation is made by solving the equation of motion and finding the transfer matrices in convergence and divergence planes, these matrices are used to find the properties of lens as the magnification and aberrations coefficients. To find the optimum values of chromatic and spherical aberrations coefficients, the effect of both the excitation parameter of the lens (n) and the effective length of the lens into account as effective parameters in the optimization processing

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Publication Date

Tue Dec 31 2019

Journal Name

Journal Of Economics And Administrative Sciences

Comparing Different Estimators for the shape Parameter and the Reliability function of Kumaraswamy Distribution

Kumaraswamy distribution

the shape parameter

reliability function

maximum likelihood

Bayes method

prior distributions (exponential distribution

chi-squared distribution and Erlang-2 type distribution)

the squared error loss function.

توزيع Kumaraswamy

معلمة الشكل

دالة المعولية

الإمكان الاعظم

طريقة بيز

التوزيعات الأولية (التوزيع الاسي

توزيع مربع كاي

توزيع ارلنك)

دالة الخسارة التربيعية.

Jinan Abbas

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In this paper, we used maximum likelihood method and the Bayesian method to estimate the shape parameter (θ), and reliability function (R(t)) of the Kumaraswamy distribution with two parameters l , θ (under assuming the exponential distribution, Chi-squared distribution and Erlang-2 type distribution as prior distributions), in addition to that we used method of moments for estimating the parameters of the prior distributions. Bayes

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Publication Date

Tue Aug 01 2023

Journal Name

Iop Conference Series: Earth And Environmental Science

Estimate Raw Water Salinity for the Tigris River for a Long Time Using a Mathematical Model

A

Basim H

Mahdi S

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Abstract<p>The measurement data of the raw water quality of Tigris River were statistically analyzed to measure the salinity value in relation to the selected raw water quality parameters. The analyzed data were collected from five water treatment plants (WTPs) assembled alongside of the Tigris River in Baghdad: Al-Karkh, Al-Karama, Al-Qadisiya, Al-Dora, and Al-Wihda for the period from 2015 to 2021. The selected parameters are total dissolved solid (TDS), electrical conductivity (EC), pH and temperature. The main objective of this research is to predicate a mathematical model using SPSS software to calculate the value of salinity along the river, in addition, the effect of electrical conductivi</p> ... Show More

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(1)

Publication Date

Sun Oct 19 2025

Journal Name

Lecture Notes In Networks And Systems

Using Artificial Intelligence in Analyzing Historical Documents: The Egyptian Libyan Border as a Model (1911–1951)

Rihab Hassan

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Publication Date

Wed Oct 17 2018

Journal Name

Journal Of Economics And Administrative Sciences

Comparison Between the Methods Estimate Nonparametric and Semiparametric Transfer Function Model in Time Series Using Simulation

Munaf Yousif

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Publication Date

Sat Jul 18 2026

Journal Name

Journal Of Physical Education

The Effect of Proprioceptive Neuromuscular Facilitation Exercises Combined with Superset Pyramid on Maximal Strength in Classic Physique Athletes’ Lower Extremities

Haidar

Ghasan

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Publication Date

Fri Jul 01 2016

Journal Name

Journal Of Economics And Administrative Sciences

Using system dynamics model and the statistical indicators for Road Map of "Green government departments" project In Iraq

ديناميكية النظام - المحاكاة – VENSIM - البيئة الخضراء.

System dynamics

Simulation

VENSIM

Green environment

الاء طلال

زينب فالح

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Abstract

The issue of the protection of the environment is a shared responsibility between several destinations and sectors, and constitutes a main subject in which they can achieve sustainable development. In the sectors of government programs can be set up towards the establishment of the government sector to the green environment, so to be the implementati

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Publication Date

Fri Feb 01 2019

Journal Name

Journal Of Economics And Administrative Sciences

A Comparison of Parameters Estimation Methods for the Negative Binomial Regression Model under Multicollinearity Problem by Using Simulation

/ مقدر الامكان الاعظم

مقدر انحدار حرف

مقدر ليو

أنموذج انحدار ثنائي الحدين السالب

التعدد الخطي.

Maximum Likelihood Estimator

Ridge Regression Estimator

Liu Estimator

Negative Binomial Regression Model

Multicollinearity Problem.

سهيل نجم

ايناس صلاح

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This study discussed a biased estimator of the Negative Binomial Regression model known as (Liu Estimator), This estimate was used to reduce variance and overcome the problem Multicollinearity between explanatory variables, Some estimates were used such as Ridge Regression and Maximum Likelihood Estimators, This research aims at the theoretical comparisons between the new estimator (Liu Estimator) and the estimators

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Publication Date

Mon Jul 01 2024

Journal Name

Ecological Engineering & Environmental Technology

Use of Nano Co-Ni-Mn Composite and Aluminum for Removal of Artificial Anionic Dye Congo Red by Combined System

electrocoagulation

electro-oxidation

congo red

nanocomposite

aluminum

combined

Reman A.

Rasha H.

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The removal of congo red (CR) is a critical issue in contemporary textile industry wastewater treatment. The current study introduces a combined electrochemical process of electrocoagulation (EC) and electro-oxidation (EO) to address the elimination of this dye. Moreover, it discusses the formation of a triple composite of Co, Mn, and Ni oxides by depositing fixed salt ratios (1:1:1) of these oxides in an electrolysis cell at a constant current density of 25 mA/cm2. The deposition ended within 3 hours at room temperature. X-ray diffractometer (XRD), field emission scanning electron microscopy (FESEM), atomic force microscopy (AFM), and energy dispersive X-ray (EDX) characterized the structural and surface morphology of the multi-oxide sedim

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(7)

Publication Date

Sun Jun 30 2024

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Gas Lift Optimization for Zubair Oil Field Using Genetic Algorithm-Based Numerical Simulation: Feasibility Study

Gas Lift Optimization

Gas Lift

Numerical Simulation

Genetic Algorithms

Zubair Oil Field

Saad Hazem

Omar

Ali

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The gas-lift method is crucial for maintaining oil production, particularly from an established field when the natural energy of the reservoirs is depleted. To maximize oil production, a major field's gas injection rate must be distributed as efficiently as possible across its gas-lift network system. Common gas-lift optimization techniques may lose their effectiveness and become unable to replicate the gas-lift optimum in a large network system due to problems with multi-objective, multi-constrained & restricted gas injection rate distribution. The main objective of the research is to determine the possibility of using the genetic algorithm (GA) technique to achieve the optimum distribution for the continuous gas-lift injectio

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(1)

Publication Date

Mon Jan 13 2020

Journal Name

Day 3 Wed, January 15, 2020

Numerical Simulation of Gas Lift Optimization Using Genetic Algorithm for a Middle East Oil Field: Feasibility Study

Constrained optimization

Gas lifts

Gases

Gasoline

Genetic algorithms

Life cycle

Natural gas fields

Numerical models

Offshore oil well production

Oil fields

Mustafa

Mofazzal

Omar

Akim

Abbas

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<p>Gas-lift technique plays an important role in sustaining oil production, especially from a mature field when the reservoirs’ natural energy becomes insufficient. However, optimally allocation of the gas injection rate in a large field through its gas-lift network system towards maximization of oil production rate is a challenging task. The conventional gas-lift optimization problems may become inefficient and incapable of modelling the gas-lift optimization in a large network system with problems associated with multi-objective, multi-constrained, and limited gas injection rate. The key objective of this study is to assess the feasibility of utilizing the Genetic Algorithm (GA) technique to optimize t</p> ... Show More

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