Connecting Numerical Relativity and Data Analysis of Gravitational Wave Detectors

Gravitational waves deliver information in exquisite detail about astrophysical phenomena, among them the collision of two black holes, a system completely invisible to the eyes of electromagnetic telescopes. Models that predict gravitational wave signals from likely sources are crucial for the success of this endeavor. Modeling binary black hole sources of gravitational radiation requires solving the Eintein equations of General Relativity using powerful computer hardware and sophisticated numerical algorithms. This proceeding presents where we are in understanding ground-based gravitational waves resulting from the merger of black holes and the implications of these sources for the advent of gravitational-wave astronomy.Comment: Appeared in the Proceedings of 2014 Sant Cugat Forum on Astrophysics. Astrophysics and Space Science Proceedings, ed. C.Sopuerta (Berlin: Springer-Verlag

Late Quaternary human-environment relationship in the Ganga Plain, India

Here, we present the first-ever attempt to combine palaeoenvironmental records (n = 17) from dated stratigraphic sequences with Geographic Information System (GIS) spatial modelling of archaeological sites (3 phases; n = 306 sites) in the Ganga Plain. The spatial modelling assesses the distribution of archaeological sites and phases on maps showing changing elevation, geology, geomorphology, biome, and rainfall variability within the Ganga Plain, aiming to evaluate the human-environment relationship during the Late Quaternary Period. The compilation of oxygen and hydrogen isotopic composition (δ18O and δD values) and pollen-based environment reconstructions for the last ∼100 ka indicates high rainfall conditions during ∼100–75 ka, ∼10–5 ka, and ∼3.6–1.3 ka. Fluctuating rainfall conditions were observed during ∼75–25 ka and ∼18–15 ka, while the period from ∼25 to 18 ka was the weakest monsoon phase, marking the Last Glacial Maximum. Arid conditions were also observed during ∼15–10 ka and ∼5–3.6 ka. The archaeological review suggests the presence of the Acheulian culture, diverse Mesolithic cultures, and the Neolithic phase marked by advanced agriculture and pottery production in the Ganga Plain. The past environmental analyses show changes in settlement areas correlating with rainfall variations. Frequent climate changes and increasing population density during the Late Pleistocene-Early Holocene boundary probably forced prehistoric humans to adopt agricultural practices. The distribution of archaeological sites representing different cultural phases on the modern spatial maps of landscape variability (e.g., elevation, rainfall, geomorphology, and geology) reflects an intricate relationship between prehistoric human settlements, monsoonal rainfall, and climate-driven landform processes. Our assessment suggests that the integration of archaeological sites, geological mapping, vegetation analysis, and palaeoclimate records has the potential to provide valuable insights into ancient human-environment interactions. Therefore, we recommend continued interdisciplinary research in these fields to further enhance our knowledge of prehistoric societies and their responses to changing landscapes and climates in the Ganga Plain.1. Introduction 2. Study area 3. Data and methods 4. Stratigraphic and chronological sections of the Ganga Plain 5. Archaeological evidences from Ganga Plain 5.1. Palaeolithic culture 5.2. Microlithic/Mesolithic culture 5.3. Neolithic culture 6. GIS analysis: settlement pattern and landscape preference in the Ganga Plain 7. Palaeoenvironment in the Ganga Plain 7.1. Stable isotope-based palaeoenvironment conditions 7.2. Pollen-based palaeoenvironment conditions 7.3. Natural controls over prehistoric settlement in Ganga Plain 8. Summary and future directions 9. Data availabilit

An Ayurvedic perspective of Sannipataj Jwar - Sepsis along with WBC morphology

Background: Microscopic evidence based WBC Morphology would help Ayurveda physicians to give appropriate Ayurvedic treatment to Sepsis i.e. Sannipataj Jwar patients. Sepsis affected 49 million people in 2017 with 11 million deaths i.e. 1 in 5 deaths worldwide. Objective: To observe the correlation of Sepsis with Ayurvedic Sannipataj Jwar along with WBC Morphology. Material and Methods: It includes Literature Review, Initial assessment & enrollment of patients, Microscopic observational changes to correlate Sepsis with Sannipataj Jwar, Observation & Interpretation. Results: It shows the correlation of Sepsis with Ayurvedic Sannipataj Jwar along with WBC Morphology. Conclusion: This study finds the correlation of Sepsis with Ayurvedic Sannipataj Jwar along with WBC Morphology. This study would help Ayurveda physicians to give appropriate Ayurvedic treatment to Sepsis patients on the basis of evidence based WBC Morphology

Immersed boundary-finite element model of fluid-structure interaction in the aortic root

It has long been recognized that aortic root elasticity helps to ensure efficient aortic valve closure, but our understanding of the functional importance of the elasticity and geometry of the aortic root continues to evolve as increasingly detailed in vivo imaging data become available. Herein, we describe fluid-structure interaction models of the aortic root, including the aortic valve leaflets, the sinuses of Valsalva, the aortic annulus, and the sinotubular junction, that employ a version of Peskin's immersed boundary (IB) method with a finite element (FE) description of the structural elasticity. We develop both an idealized model of the root with three-fold symmetry of the aortic sinuses and valve leaflets, and a more realistic model that accounts for the differences in the sizes of the left, right, and noncoronary sinuses and corresponding valve cusps. As in earlier work, we use fiber-based models of the valve leaflets, but this study extends earlier IB models of the aortic root by employing incompressible hyperelastic models of the mechanics of the sinuses and ascending aorta using a constitutive law fit to experimental data from human aortic root tissue. In vivo pressure loading is accounted for by a backwards displacement method that determines the unloaded configurations of the root models. Our models yield realistic cardiac output at physiological pressures, with low transvalvular pressure differences during forward flow, minimal regurgitation during valve closure, and realistic pressure loads when the valve is closed during diastole. Further, results from high-resolution computations demonstrate that IB models of the aortic valve are able to produce essentially grid-converged dynamics at practical grid spacings for the high-Reynolds number flows of the aortic root

Implications For The Origin Of GRB 051103 From LIGO Observations

We present the results of a LIGO search for gravitational waves (GWs) associated with GRB 051103, a short-duration hard-spectrum gamma-ray burst (GRB) whose electromagnetically determined sky position is coincident with the spiral galaxy M81, which is 3.6 Mpc from Earth. Possible progenitors for short-hard GRBs include compact object mergers and soft gamma repeater (SGR) giant flares. A merger progenitor would produce a characteristic GW signal that should be detectable at the distance of M81, while GW emission from an SGR is not expected to be detectable at that distance. We found no evidence of a GW signal associated with GRB 051103. Assuming weakly beamed gamma-ray emission with a jet semi-angle of 30 deg we exclude a binary neutron star merger in M81 as the progenitor with a confidence of 98%. Neutron star-black hole mergers are excluded with > 99% confidence. If the event occurred in M81 our findings support the the hypothesis that GRB 051103 was due to an SGR giant flare, making it the most distant extragalactic magnetar observed to date.Comment: 8 pages, 3 figures. For a repository of data used in the publication, go to: https://dcc.ligo.org/cgi-bin/DocDB/ShowDocument?docid=15166 . Also see the announcement for this paper on ligo.org at: http://www.ligo.org/science/Publication-GRB051103/index.ph

Sensitivity to Gravitational Waves from Compact Binary Coalescences Achieved during LIGO's Fifth and Virgo's First Science Run

We summarize the sensitivity achieved by the LIGO and Virgo gravitational wave detectors for compact binary coalescence (CBC) searches during LIGO's fifth science run and Virgo's first science run. We present noise spectral density curves for each of the four detectors that operated during these science runs which are representative of the typical performance achieved by the detectors for CBC searches. These spectra are intended for release to the public as a summary of detector performance for CBC searches during these science runs.Comment: 12 pages, 5 figure

Standard manufacturing process of Lekhana Putapaka

Putapaka is one of the best local and effective applications for the treatment of eye disorders. Putapaka when used properly then it will treat burning sensation, inflammation, pain, feeling of friction, discharges, itching sensation, stickiness, muddy secretions and congestion of blood vessels. In classics there are three types of Putapaka are described Snehana Putapaka, Lekhana Putapaka and Ropana Putapaka. Lekhana Putapaka is prepared mainly with the help of Lekhana Dravyas. It is used for scrapping of the Doshas. Lekhana Putapaka is composed of the liver and flesh of wild animals with the drugs of Lekhana group and Lauha Bhasma, Tamra Bhasma, Shankha Bhasma, Saindhava, Samudrafena, Kasisa, Srotanjana and Dadhi Mastu. In this study, the ingredients for Lekhana Putapaka has been taken as per the reference of Sushruta Samhita but prepared by some modification (in pressure cooker). The yield of three batches of Putapaka was 85ml, 90ml and 100 ml respectively. The physico-chemical parameters like pH, specific gravity and solid content and phytochemical parameters like glycocides, saponin, tannin, steroids, amino acids, proteins etc has been carried out

Wilson Disease: An Updated Review on the Drug Management and its Neurological Aspects

Wilson\u27s disease, stemming from a malfunctioning ATP7B protein, disrupts the body\u27s ability to manage copper effectively. Its clinical impact can range from an inconspicuous condition with no apparent symptoms to severe liver problems, such as acute hepatic failure or long-term liver damage, sometimes accompanied by cirrhosis. Additionally, Wilson\u27s disease can manifest in various neurological and psychiatric symptoms. To prevent overlooking cases of Wilson\u27s disease (WD), especially in patients with subtle symptoms like slight increases in transaminase levels or limited neuropsychiatric issues, it\u27s essential to maintain a vigilant and cautious approach. This proactive approach is crucial to managing and mitigating the impact of the disease on affected families. Recent times have seen the emergence of novel molecular information regarding WD development and metabolic fingerprints of WD abnormalities. Studies on WD patients and animal models have shown that extrahepatic tissues and non-parenchymal liver cells contribute to the liver phenotype and have identified nuclear receptor (NR) dysregulation, epigenetic modifications, and mitochondrial dysfunction as key features of the disease\u27s pathogenesis. This review examines emerging strategies for bettering WD diagnosis and treatment while also outlining current developments in the definition of WD pathophysiology under treatment options for Wilson\u27s disease typically involving the use of chelating agents such as D-penicillamine and trientine. In addition, zinc salts serve as inducers of metallothionein, a protein that helps maintain a healthier copper balance by reducing the levels of free copper in the bloodstrea

Directional limits on persistent gravitational waves using LIGO S5 science data

The gravitational-wave (GW) sky may include nearby pointlike sources as well as astrophysical and cosmological stochastic backgrounds. Since the relative strength and angular distribution of the many possible sources of GWs are not well constrained, searches for GW signals must be performed in a model-independent way. To that end we perform two directional searches for persistent GWs using data from the LIGO S5 science run: one optimized for pointlike sources and one for arbitrary extended sources. The latter result is the first of its kind. Finding no evidence to support the detection of GWs, we present 90% confidence level (CL) upper-limit maps of GW strain power with typical values between 2-20x10^-50 strain^2 Hz^-1 and 5-35x10^-49 strain^2 Hz^-1 sr^-1 for pointlike and extended sources respectively. The limits on pointlike sources constitute a factor of 30 improvement over the previous best limits. We also set 90% CL limits on the narrow-band root-mean-square GW strain from interesting targets including Sco X-1, SN1987A and the Galactic Center as low as ~7x10^-25 in the most sensitive frequency range near 160 Hz. These limits are the most constraining to date and constitute a factor of 5 improvement over the previous best limits.Comment: 10 pages, 4 figure