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VDM: A model for vector dark matter
, Article Journal of Cosmology and Astroparticle Physics ; Volume 2012, Issue 10 , 2012 ; 14757516 (ISSN) ; Rezaeiakbarieh, A ; Sharif University of Technology
IOP
2012
Abstract
We construct a model based on a new U(1) X gauge symmetry and a discrete Z 2 symmetry under which the new gauge boson is odd. The model contains new complex scalars which carry U(1) X charge but are singlets of the Standard Model. The U(1) X symmetry is spontaneously broken but the Z 2 symmetry is maintained, making the new gauge boson a dark matter candidate. In the minimal version there is only one complex scalar field but by extending the number of scalars to two, the model will enjoy rich phenomenology which comes in various phases. In one phase, CP is spontaneously broken. In the other phase, an accidental Z 2 symmetry appears which makes one of the scalars stable and therefore a dark...
Numerical Investigation of Various Parameters Influence in Atrium Efficiency Improvements for Building’s Natural Ventilation
, M.Sc. Thesis Sharif University of Technology ; Moosavi, Ali (Supervisor)
Abstract
In order to improve the efficiency of atriums, effective parameters in ventilation and acceleration of airflow are numerous. Nevertheless, parameters such as shape and height of atrium, geometry of the inlet and outlets, opening areas and the presence of heat sources in each store play a vital role. In structures higher than one floor, there is no significant airflow in the upper floors and the ventilation of atrium is unpleasant for residents. Air movement in the building is done by buoyancy-driven force and hot air upward movement due to pressure differences.This study attempts to improve the natural ventilation performance with changing mentioned parameters. So for this purpose, 3D...
Developing a Heuristic Filter Utilizing Firefly Optimization Algorithm: A Case Study on State Estimation of a Slung Payload from a Quadrotor
, M.Sc. Thesis Sharif University of Technology ; Nobahari, Hadi (Supervisor)
Abstract
The aim of the present thesis is to develop a novel heuristic filter by utilizing Firefly Optimization Algorithm for state estimation of nonlinear, non-Gaussian systems. The proposed filter formulates the estimation problem as a dynamic, stochastic one. The swarm intelligence of the fireflies enables the filter to find and track the best estimation. To estimate the states of a system, the model of the system is required. Hence, an 8-DoF quadrotor with slung payload system, as a case study, is modeled by the tensor method. In this case, as a highly nonlinear system, in order not to rely on extra sensors for monitoring swing-angle, the estimation of payload states is needed. In this regard,...
Decaying vector dark matter as an explanation for the 3.5 keV line from galaxy clusters
, Article Journal of Cosmology and Astroparticle Physics ; Vol. 2014, issue. 11 , 2014 ; ISSN: 14757516 ; Akbarieh, A. R ; Sharif University of Technology
2014
Abstract
We present a Vector Dark Matter (VDM) model that explains the 3.5 keV line recently observed in the XMM-Newton observatory data from galaxy clusters. In this model, dark matter is composed of two vector bosons, V and V', which couple to the photon through an effective generalized Chern-Simons coupling, gV. V' is slightly heavier than V with a mass splitting mV' - mV 3.5 keV. The decay of V' to V and a photon gives rise to the 3.5 keV line. The production of V and V' takes place in the early universe within the freeze-in framework through the effective gV coupling when mV' < T < Λ, Λ being the cut-off above which the effective gV coupling is not valid. We introduce a high energy model that...
Natural explanation for 130 GeV photon line within vector boson dark matter model
, Article Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics ; Volume 724, Issue 1-3 , 2013 , Pages 84-87 ; 03702693 (ISSN) ; Akbarieh, A. R ; Sharif University of Technology
2013
Abstract
We present a dark matter model for explaining the observed 130 GeV photon line from the galaxy center. The dark matter candidate is a vector boson of mass mV with a dimensionless coupling to the photon and Z boson. The model predicts a double line photon spectrum at energies equal to mV and mV(1-mZ2/4mV2) originating from the dark matter annihilation. The same coupling leads to a mono-photon plus missing energy signal at the LHC. The entire perturbative parameter space can be probed by the 14 TeV LHC run. The model has also a good prospect of being probed by direct dark matter searches as well as the measurement of the rates of h→γγ and h→Zγ at the LHC
Reactive Crystallization in an Impinging Jets Reactor
, M.Sc. Thesis Sharif University of Technology ; Molaei Dehkordi, Asghar (Supervisor)
Abstract
Reactive crystallization or precipitation is an important industrial process. Many chemicals and biochemicals such as catalysts and pigments are produced by precipitation. Because of the advantages of impinging jets in chemical engineering processes, the main aim of this research was to investigate the application of this method in precipitation and to study the effects of different operating and design parameters on the product’s quality and properties. Two chemical models of barium sulfate and copper oxalate were used as main products. Each of these chemicals was produced by a liquid-liquid reaction of two aqueous solutions, which were fed to an impinging-jets reactor. Effects of...
Cosmic Neutrinos at Neutrino Telescopes CP-violation, Source Properties and Beyond the Standard Model Physics
, Ph.D. Dissertation Sharif University of Technology ; Farzan, Yasaman (Supervisor)
Abstract
In this thesis, we studied the oscillation of neutrino flavors and the measurement of mixing parameters through the detection of cosmic neutrinos at neutrino telescopes. Most of the astrophysical explosions predict the emission of neutrino flux and kilometer-scale detectors are under construction for the observation of these neutrinos. Detection of astrophysical neutrinos opens a new window to understand the neutrino properties and also the properties of astrophysical sources.In this thesis first we review the phenomenology of neutrino flavor oscillation and characteristics of neutrino mass matrix. By introducing a new class of invariants (under general transformation of lepton fields bases)...
An optimal time algorithm for minimum linear arrangement of chord graphs
, Article Information Sciences ; Volume 238 , 2013 , Pages 212-220 ; 00200255 (ISSN) ; Rostami, H ; Bagherinezhad, H ; Sharif University of Technology
2013
Abstract
A linear arrangement φ of an undirected graph G = (V, E) with |V| = n nodes is a bijective function φ:V → {0, ..., n - 1}. The cost function is cost(G,φ)=∑uv∈E|(φ(u)-φ(v))| and opt(G) = min∀φcost(G, φ). The problem of finding opt(G) is called minimum linear arrangement (MINLA). The Minimum Linear Arrangement is an NP-hard problem in general. But there are some classes of graphs optimally solvable in polynomial time. In this paper, we show that the label of each node equals to the reverse of binary representation of its id in the optimal arrangement. Then, we design an O(n) algorithm to solve the minimum linear arrangement problem of Chord graphs
Partition Function of Six-vertex Model
, M.Sc. Thesis Sharif University of Technology ; Zohuri-Zangeneh, Bijan (Supervisor)
Abstract
The six-vertex model is one of the lattice models of two dimensional statistical physics. In this model, like other models in statistical physics, the probability of occurrence of any configuration is proportional to the product of some local weights.The partition function of the model is the sum of products of local weights over all of the allowable configurations. The partition function has important physical interpretations and computing it is regarded as the first step toward the understanding of the model. In this thesis, we give a survey on different methods of calculating the partition functions. The important point is the generality of these methods such as employing Yang-Baxter...
Piping Dam Breach Physical and Numerical Modelling Evaluation
, M.Sc. Thesis Sharif University of Technology ; Jafarzadeh, Fardin (Supervisor)
Abstract
In past few centuries , dams have been always a crucial part of human life . Using dams for agriculture and supplying water for people , has made them a valuable asset for countries . So evaluating dam safety and dam breach properties is so important. This issue is a geotechnical , structural and hydrological matter. Safety of earth dams could be threatened due to dam body breach caused by overtopping or pipping, during heavy floods, strong ground motions or any structural damage or defection. As in previous studies , calculating the final geometrical breach properties and time of failure was the main goal , we tried to connect this characteristics and find the relation of time and breach...
Particles in the early Universe: Interface of Cosmology and Particles Massive Neutrinos and Cosmology
, M.Sc. Thesis Sharif University of Technology ; Golshani, Mehdi (Supervisor) ; Farzan, Yasaman (Supervisor)
Abstract
Neutrino flavor oscillations are clear evidence of massive neutrinos. It has been for more than a decade that neutrino physics became one of active topics in the field of particle physics and various experiments started studying the flavor oscillation of neutrinos. Unfortunately, experiments studying the flavor oscillations are only sensitive to the mass square difference, and they are incapable of providing more information about the absolute mass scale of neutrinos. Additionally, sterile neutrinos having non-standard interactions are under vast investigations and studies. Determination of neutrino masses and their effective number is among the most challenging problems by which...
Efficient Multicasting in Cognitive Wireless Sensor Networks
, M.Sc. Thesis Sharif University of Technology ; Movaghar Rahimabadi, Ali (Supervisor)
Abstract
Today with growth of wireless communications and progress of small and cheap sensors which have capability of communication and calculation, wireless sensor networks are important and useful topic. But due to energy restrictions, efficient use of resources and increasing network lifetime, have been considered as key factors in network design. In this regard, using efficient multicast routing in energy consumption, for an efficient data transmission to specific number of nodes instead of all nodes code updates, information requests, task assignments and etc., is necessary.On the other hand these networks use unlicensed spectrum and suffer from collision due to congestion caused by other...
Comparison of performance prediction of solar water heaters between artificial neural networks and conventional correlations
, Article International Journal of Global Energy Issues ; Volume 31, Issue 2 , 2009 , Pages 122-131 ; 09547118 (ISSN) ; Riazi, M. R ; Raoufi, F ; Sadeghi, A ; Sharif University of Technology
2009
Abstract
The aim of this study was to develop a predictive method for heat transfer coefficients in solar water heaters and their performance evaluation of such heaters with different materials used as heat collectors. Two approaches have been used: conventional method and an Artificial Neural Network (ANN) to predict the performance of solar water heaters and to compare these two approaches. This performance is measured in terms of outlet temperature by using a set of conventional feed forward multi-layer neural networks. The actual experimental data which were used as our network's input gathered from published literature (for polypropylene tubes) and from the experiments carried out recently using...
Energy of Graphs
, M.Sc. Thesis Sharif University of Technology ; Akbari Feizabadi, Saeed (Supervisor) ; Fahmideh Gholami, Mahdi (Co-Supervisor)
Abstract
Energy of graphs first defined by Ivan Gutman in 1978[1]. Let G be a graph with (0,1)-adjacency matrix A and let λ_1≥⋯≥λ_n be eigenvalues of A. Grap h energy is defined as the sum of absolute values of the eigenvalues of A and is shown by ɛ(G). let H_1,…,H_k be the vertex-disjoint induced subgraphs of graph G, it is proved that energy of G is at least equal to the sum of energy of H_i subgraphs, where the summation is over i. Also by partitioning edges of G to L_1,…,L_k subgraphs, energy of G is at most equal to sum of energy of L_i subgraphs , where the summation is over i. In this thesi s we study energy of graphs, specially...
Graphene aerogel nanoparticles for in-situ loading/pH sensitive releasing anticancer drugs
, Article Colloids and Surfaces B: Biointerfaces ; Volume 186 , 2020 ; Akhavan, O ; Raoufi, M ; Varshochian, R ; Hosseini Motlagh, N. S ; Atyabi, F ; Sharif University of Technology
Elsevier B.V
2020
Abstract
Free polymer graphene aerogel nanoparticles (GA NPs) were synthesized by using reduction/aggregation of graphene oxide (GO) sheets in the presence of vitamin C (as a biocompatible reductant agent) at a low temperature (40 °C), followed by an effective sonication. Synthesis of GA NPs in doxorubicin hydrochloride (DOX)-containing solution results in the simultaneous synthesis and drug loading with higher performance (than that of the separately synthesized and loaded samples). To investigate the mechanism of loading and the capability of GA NPs in the loading of other drug structures, two groups of ionized (DOX, Amikacin sulfate and, D-glucosamine hydrochloride) and non-ionized (Paclitaxel...
A deep learning framework to scale linear facial measurements to actual size using horizontal visible iris diameter: a study on an Iranian population
, Article Scientific Reports ; Volume 13, Issue 1 , 2023 ; 20452322 (ISSN) ; Hassanzadeh Samani, S ; Farzan, A ; Rohban, M. H ; Ghorbanimehr, M. S ; Mohammad Rahimi, H ; Motamedian, R ; Sharif University of Technology
Nature Research
2023
Abstract
Digital images allow for the objective evaluation of facial appearance and abnormalities as well as treatment outcomes and stability. With the advancement of technology, manual clinical measurements can be replaced with fully automatic photographic assessments. However, obtaining millimetric measurements on photographs does not provide clinicians with their actual value due to different image magnification ratios. A deep learning tool was developed to estimate linear measurements on images with unknown magnification using the iris diameter. A framework was designed to segment the eyes’ iris and calculate the horizontal visible iris diameter (HVID) in pixels. A constant value of 12.2 mm was...
Cell shape affects nanoparticle uptake and toxicity: An overlooked factor at the nanobio interfaces
, Article Journal of Colloid and Interface Science ; Volume 531 , 2018 , Pages 245-252 ; 00219797 (ISSN) ; Ghahremani, M. H ; Hashemi, F ; Hormozi Nezhad, M. R ; Raoufi, M ; Zanganeh, S ; Atyabi, F ; Dinarvand, R ; Mahmoudi, M ; Sharif University of Technology
Academic Press Inc
2018
Abstract
Hypothesis: It is now being increasingly accepted that cells in their native tissue show different morphologies than those grown on a culture plate. Culturing cells on the conventional two-dimensional (2D) culture plates does not closely resemble the in vivo three-dimensional (3D) structure of cells which in turn seems to affect cellular function. This is one of the reasons, among many others, that nanoparticles uptake and toxicology data from 2D culture plates and in vivo environments are not correlated with one another. In this study, we offer a novel platform technology for producing more in vivo-like models of in vitro cell culture. Experiments: The normal fibroblast cells (HU02) were...
Bare surface of gold nanoparticle induces inflammation through unfolding of plasma fibrinogen
, Article Scientific Reports ; Volume 8, Issue 1 , 2018 ; 20452322 (ISSN) ; Lohse, S. E ; Ghasemi, F ; Raoufi, M ; Saei, A. A ; Hashemi, F ; Farvadi, F ; Alimohamadi, R ; Jalali, S. A ; Shokrgozar, M. A ; Hadipour, N. L ; Ejtehadi, M. R ; Mahmoudi, M ; Sharif University of Technology
Nature Publishing Group
2018
Abstract
The surface of nanoparticles (NPs) get coated by a wide range of biomolecules, upon exposure to biological fluids. It is now being increasingly accepted that NPs with particular physiochemical properties have a capacity to induce conformational changes to proteins and therefore influence their biological fates, we hypothesized that the gold NP’s metal surface may also be involved in the observed Fg unfolding and inflammatory response. To mechanistically test this hypothesis, we probed the interaction of Fg with gold surfaces using molecular dynamic simulation (MD) and revealed that the gold surface has a capacity to induce Fg conformational changes in favor of inflammation response. As the...
Sensing of alzheimer's disease and multiple sclerosis using nano-bio interfaces
, Article Journal of Alzheimer's Disease ; Volume 59, Issue 4 , 2017 , Pages 1187-1202 ; 13872877 (ISSN) ; Ghasemi, F ; Aghaverdi, H ; Raoufi, M ; Linnef, U ; Atyabi, F ; Nabipour, I ; Azhdarzadeh, M ; Derakhshankhah, H ; Lotfabadi, A ; Bargahi, A ; Alekhamis, Z ; Aghaie, A ; Hashemi, E ; Tafakhori, A ; Aghamollaii, V ; Mashhadi, M. M ; Sheibani, S ; Vali, H ; Mahmoudi, M ; Sharif University of Technology
2017
Abstract
It is well understood that patients with different diseases may have a variety of specific proteins (e.g., type, amount, and configuration) in their plasmas. When nanoparticles (NPs) are exposed to these plasmas, the resulting coronas may incorporate some of the disease-specific proteins. Using gold (Au) NPs with different surface properties and corona composition, we have developed a technology for the discrimination and detection of two neurodegenerative diseases, Alzheimer's disease (AD) and multiple sclerosis (MS). Applying a variety of techniques, including UV-visible spectra, colorimetric response analyses and liquid chromatography-tandem mass spectrometry, we found the corona-NP...
Molecular interaction of fibrinogen with zeolite nanoparticles
, Article Scientific Reports ; Volume 9, Issue 1 , 2019 ; 20452322 (ISSN) ; Hosseini, A ; Taghavi, F ; Jafari, S ; Lotfabadi, A ; Ejtehadi, M. R ; Shahbazi, S ; Fattahi, A ; Ghasemi, A ; Barzegari, E ; Evini, M ; Saboury, A. A ; Shahri, S. M. K ; Ghaemi, B ; Ng, E. P ; Awala, H ; Omrani, F ; Nabipour, I ; Raoufi, M ; Dinarvand, R ; shahpasand, K ; Mintova, S ; Hajipour, M. J ; Mahmoudi, M ; Sharif University of Technology
Nature Publishing Group
2019
Abstract
Fibrinogen is one of the key proteins that participate in the protein corona composition of many types of nanoparticles (NPs), and its conformational changes are crucial for activation of immune systems. Recently, we demonstrated that the fibrinogen highly contributed in the protein corona composition at the surface of zeolite nanoparticles. Therefore, understanding the interaction of fibrinogen with zeolite nanoparticles in more details could shed light of their safe applications in medicine. Thus, we probed the molecular interactions between fibrinogen and zeolite nanoparticles using both experimental and simulation approaches. The results indicated that fibrinogen has a strong and...