Size distribution of galaxies in SDSS DR7: weak dependence on halo environment

Using a sample of galaxies selected from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7) and a catalog of bulge-disk decompositions, we study how the size distribution of galaxies depends on the intrinsic properties of galaxies, such as concentration, morphology, specific star formation rate (sSFR), and bulge fraction, and on the large-scale environments in the context of central/satellite decomposition, halo environment, the cosmic web: \cluster, \filament, \sheet ~and \void, as well as galaxy number density. We find that there is a strong dependence of the luminosity- or mass-size relation on the galaxy concentration, morphology, sSFR, and bulge fraction. Compared with late-type (spiral) galaxies, there is a clear trend of smaller sizes and steeper slope for early-type (elliptical) galaxies. Similarly, galaxies with high bulge fraction have smaller sizes and steeper slope than those with low bulge fraction. Fitting formula of the average luminosity- and mass-size relations are provided for galaxies of these different intrinsic properties. Examining galaxies in terms of their large scale environments, we find that the mass-size relation has some weak dependence on the halo mass and central/satellite segregation for galaxies within mass range $9.0\le \log M_{\ast} \le 10.5$, where satellites or galaxies in more massive halos have slightly smaller sizes than their counterparts. While the cosmic web and local number density dependence of the mass-size relation is almost negligible.Comment: 12 pages, 11 figure

Nonlinearities in modified gravity cosmology. II. Impacts of modified gravity on the halo properties

The statistics of dark matter halos is an essential component of understanding the nonlinear evolution in modified gravity cosmology. Based on a series of modified gravity N-body simulations, we investigate the halo mass function, concentration and bias. We model the impact of modified gravity by a single parameter \zeta, which determines the enhancement of particle acceleration with respect to GR, given the identical mass distribution (\zeta=1 in GR). We select snapshot redshifts such that the linear matter power spectra of different gravity models are identical, in order to isolate the impact of gravity beyond modifying the linear growth rate. At the baseline redshift corresponding to z_S=1.2 in the standard \Lambda CDM, for a 10% deviation from GR(|\zeta-1|=0.1), the measured halo mass function can differ by about 5-10%, the halo concentration by about 10-20%, while the halo bias differs significantly less. These results demonstrate that the halo mass function and/or the halo concentration are sensitive to the nature of gravity and may be used to make interesting constraints along this line.Comment: 8 pages, 7 figures, accepted for publication in Physical Review

Auto-Generation of Pipelined Hardware Designs for Polar Encoder

This paper presents a general framework for auto-generation of pipelined polar encoder architectures. The proposed framework could be well represented by a general formula. Given arbitrary code length $N$ and the level of parallelism $M$, the formula could specify the corresponding hardware architecture. We have written a compiler which could read the formula and then automatically generate its register-transfer level (RTL) description suitable for FPGA or ASIC implementation. With this hardware generation system, one could explore the design space and make a trade-off between cost and performance. Our experimental results have demonstrated the efficiency of this auto-generator for polar encoder architectures

Security Constrained Multi-Stage Transmission Expansion Planning Considering a Continuously Variable Series Reactor

This paper introduces a Continuously Variable Series Reactor (CVSR) to the transmission expansion planning (TEP) problem. The CVSR is a FACTS-like device which has the capability of controlling the overall impedance of the transmission line. However, the cost of the CVSR is about one tenth of a similar rated FACTS device which potentially allows large numbers of devices to be installed. The multi-stage TEP with the CVSR considering the $N-1$ security constraints is formulated as a mixed integer linear programming model. The nonlinear part of the power flow introduced by the variable reactance is linearized by a reformulation technique. To reduce the computational burden for a practical large scale system, a decomposition approach is proposed. The detailed simulation results on the IEEE 24-bus and a more practical Polish 2383-bus system demonstrate the effectiveness of the approach. Moreover, the appropriately allocated CVSRs add flexibility to the TEP problem and allow reduced planning costs. Although the proposed decomposition approach cannot guarantee global optimality, a high level picture of how the network can be planned reliably and economically considering CVSR is achieved.Comment: Accepted by IEEE Transactions on Power System

Development of Glycan Based Diagnostics to Detect Pathogens

Numerous toxins and pathogens gain entry into mammalian cells using cell surface glycans. The Iyer group at Georgia State University is working on the development of glycoconjugates for the accurate detection of infectious agents. In this thesis, I have focused on the development of glycans to detect influenza virus and norovirus. In the first section, I have focused on influenza viruses. A panel of synthetic glycans was synthesized as receptor mimics for the specific capture of influenza viruses. The synthetic glycans were printed onto commercial glass slides using a free amine at the end of a spacer to generate a small focused microarray. This glycan printed microarray was evaluated for its ability to capture three strains of influenza viruses. The analytical limit of detection is ~10 pfu/ml, (plaque forming units/milliliter) which is clinical relevant as 102 viral particles are typically required to cause infection. We also tested the drug susceptibility of current antivirals, Zanamivir and Ostelamivir using the microarray and determined the feasibility of this system to determine antiviral resistance for different strains. In addition to optical detection, I developed an electrochemical assay to rapidly detect influenza viruses. Here, we utilized an unique property of influenza viral surface enzyme, Neuraminidase (NA), which cleaves terminal N-Acetyl Neuraminic acid (sialic acid) from cell surfaces and proteins. We designed an electrochemical assay that uses glucose bearing sialic acid substrates. Glucose is released when exposed to viral NA or intact viruses. The released glucose can be detected using repurposed glucose meters. Thus, personal glucose meters that were designed to assist diabetics and prediabetics monitor blood glucose can potentially be used to detect pathogens. Using this approach, we have detected 19 unique strains of influenza viruses. We also demonstrated drug susceptibility using this assay. The limit of detection of this assay is 102 pfu/sample, which is clinically relevant. The results were validated plaque assays and polymerase chain reaction (PCR). In the second part of this thesis, I focused on norovirus detection. I developed a focused glycan microarray that comprised of a library of histo blood group antigens (HBGAs). The HBGAs were attached to a carrier protein and printed onto activated glass slides. A panel of norovirus virus like particles (VLPs) and strains that included different genogroups was exposed to the microarray. We found that different VLPs and strains give rise to unique binding patterns. When the binding pattern of VLPs for a particular strain were compared to the corresponding intact virus, the binding patterns didn\u27t match well, presumably because the virus does not recognize the same antibody as the VLPs. Unfortunately, antibodies for the virus cannot be generated because the virus cannot be grown in a laboratory setting. Indeed, all norovirus samples are obtained from human challenge studies. I also used surface plasmon resonance (SPR) studies in an effort to determine the binding affinities. Divalent biotinylated H type glycans were synthesized and their binding affinities with different VLPs and viral strains were determined. Initial studies suggest that the binding affinities are strain specific. These results demonstrate that glycans can be used to capture and isolate norovirus, although more research is required to develop glycan based norovirus detection kits