On the Weakening of Chromospheric Magnetic Field in Active Regions

Simultaneous measurement of line-of-sight (LOS) magnetic and velocity fields at the photosphere and chromosphere are presented. Fe I line at $\lambda6569$ and $H_{\alpha}$ at $\lambda6563$ are used respectively for deriving the physical parameters at photospheric and chromospheric heights. The LOS magnetic field obtained through the center-of-gravity method show a linear relation between photospheric and chromospheric field for field strengths less than 700 G. But in strong field regions, the LOS magnetic field values derived from $H_{\alpha}$ are much weaker than what one gets from the linear relationship and also from those expected from the extrapolation of the photospheric magnetic field. We discuss in detail the properties of magnetic field observed in $H_{\alpha}$ from the point of view of observed velocity gradients. The bisector analysis of $H_{\alpha}$ Stokes $I$ profiles show larger velocity gradients in those places where strong photospheric magnetic fields are observed. These observations may support the view that the stronger fields diverge faster with height compared to weaker fields.Comment: accepted for publication in Ap

Smear correction of highly-variable, frame-transfer-CCD images with application to polarimetry

Image smear, produced by the shutter-less operation of frame transfer CCD detectors, can be detrimental for many imaging applications. Existing algorithms used to numerically remove smear, do not contemplate cases where intensity levels change considerably between consecutive frame exposures. In this report we reformulate the smearing model to include specific variations of the sensor illumination. The corresponding desmearing expression and its noise properties are also presented and demonstrated in the context of fast imaging polarimetry.Comment: Article accepted for publication in Applied Optics on 08 Jun 201

Spectral lines in FUV and EUV for diagnosing coronal magnetic field

The diagnostic capabilities of spectral lines in far ultraviolet (FUV) and extreme ultraviolet (EUV) wavelength range are explored in terms of their Hanle and Zeeman sensitivity to probe vector magnetic field in the solar corona. The temperature range covered is log$_{10}(T)=5.5-6.3$. The circular polarization signal due to longitudinal Zeeman effect is estimated for spectral lines in the wavelength range of 500 to 1600 \r{A}. The Stokes $V/I$ signal for a FUV line is found to be in the order of 10$^{-4}$ for a longitudinal field strength of 10 Gauss, which further reduces to 10$^{-5}$ for wavelengths below 1200 \r{A}. Due to such low signals, the present study aims to find combination of spectral lines having different Hanle sensitivity but with identical peak formation temperature to probe coronal magnetic field vector. The combination of Hanle sensitive lines is better suited because the Hanle signals are stronger by at least an order of magnitude compared to Zeeman signals. The linear polarization signals due to Hanle effect from at least two spectral lines are required to derive information on the full vector. It is found from this study that there is always a pair of Hanle sensitive lines for a given temperature range suitable for probing coronal vector magnetic field and they are located in close proximity with each other in terms of their wavelength.Comment: 22 pages, 2 figures, 1 table. Accepted for publication in Solar Physics journa

Solar Mean Magnetic Field of the Chromosphere

The Solar Mean Magnetic Field (SMMF) is the mean value of the line of sight (LOS) component of the solar vector magnetic field averaged over the visible hemisphere of the Sun. So far, the studies on SMMF have mostly been confined to the magnetic field measurements at the photosphere. In this study, we calculate and analyse the SMMF using magnetic field measurements at the chromosphere, in conjunction with that of photospheric measurements. For this purpose, we have used full disk LOS magnetograms derived from spectropolarimetric observations carried out in Fe I 630.15 nm and Ca II 854.2 nm by the Synoptic Optical Long term Investigations of the Sun (SOLIS)/Vector Spectromagnetograph (VSM) instrument during 2010 to 2017. It is found from this study that the SMMF at the chromosphere is weaker by a factor of 0.60 compared to the SMMF at the upper photosphere. The correlation analysis between them gives a Pearson correlation coefficient of 0.80. The similarity and reduced intensity of the chromospheric SMMF with respect to the photospheric SMMF corroborate the idea that it is the source of the Interplanetary Magnetic Field (IMF).Comment: 11 pages, 6 figure, 3 table

Microsatellite markers for the Indian golden silkmoth, Antheraea assama (Saturniidae: Lepidoptera)

Antheraea assama, an economically important and scientifically unexplored Indian wild silkmoth, is unique among saturniid moths. For this species, a total of 87 microsatellite markers was derived from 35 000 expressed sequence tags and a microsatellite-enriched sub-genomic library. Forty individuals collected from Tura and West Garo Hills region of Northeast India were screened for each of these loci. Ten loci from expressed sequence tags and one from genomic library were found to be polymorphic. These microsatellite markers will be useful resources for population genetic studies of A. assama and other closely related species of saturniids. This is the first report on development of microsatellite markers for any saturniid species

Molecular phylogeny of silkmoths reveals the origin of domesticated silkmoth, Bombyx mori from chinese Bombyx mandarina and paternal inheritance of Antheraea proylei mitochondrial DNA

Molecular phylogeny of some of the economically important silkmoths was derived using three mitochondrial genes, 12S rRNA, 16S rRNA, and COI, and the control region (CR). Maximum likelihood (ML) analyses showed two distinct clades, one consisting of moths from Bombycidae family and the other from Saturniidae family. The mitochondrial CR showed length polymorphisms with indels. The ML analyses for complete mitochondrial genome sequences of Bombyx mori (strains Aojuku, C108, Backokjam, and Xiafang), Japanese and Chinese strains of B. mandarina (Japanese mandarina and Chinese mandarina) and, Antheraea pernyi revealed two distinct clades, one comprising of B. mori strains and the other with B. mandarina, and A. pernyi forming an outgroup. Pairwise distances revealed that all of the strains of B. mori studied are closer to Chinese than to Japanese mandarina. Phylogenetic analyses based on whole mitochondrial genome sequences, the finding of a tandem triplication of a 126 bp repeat element only in Japanese mandarina, and chromosome number variation in B. mandarina suggest that B. mori must have shared its recent common ancestor with Chinese mandarina. Another wild species of the Bombycidae family, Theophila religiosa, whose phylogenetic status was not clear, clustered together with the other bombycid moths in the study. Analysis of the interspecific hybrid, A. proylei gave evidence for paternal inheritance of mitochondrial DNA

Data Anonymization Using Map Reduce on Cloud based A Scalable Two-Phase Top-Down Specialization

A large number of cloud services require users to impart` private data like electronic health records for data analysis or Mining, bringing privacy concerns. Anonymizing information sets through generalization to fulfill certain security prerequisites, for example, k-anonymity is a broadly utilized classification of protection safeguarding procedures At present, the scale of information in numerous cloud applications increments immensely as per the Big Data pattern, in this manner making it a test for normally utilized programming instruments to catch, oversee, and process such substantial scale information inside a bearable slipped by time. As an issue, it is a test for existing anonymization methodologies to accomplish security protection on security touchy extensive scale information sets because of their inadequacy of adaptability. In this paper, we propose a versatile two-stage top-down specialization (TDS) methodology to anonymize huge scale information sets utilizing the Map reduce schema on cloud. Experimental evaluation results demonstrate that with our approach, the scalability and efficiency of TDS can be significantly improved over existing approaches