80 research outputs found
Sensitivity Analysis of Simulating Rainfall Over Sri Lanka Associated with the Cyclone Amphan Using WRF
No full textThis study is to identify the best set of physics options in simulating the daily rainfall under the influence of the cyclone "Amphan" using Weather Research and Forecasting (WRF). Twelve different combinations of physics options are experimented. Pattern correlation between the simulated and satellite measured rainfall obtained using Global Precipitation Measurement (GPM) is calculated for each experiment as a measure of simulation accuracy. In general the intensity of the simulated rainfall comparatively lower but on the other hand, the area and the pattern is accurately simulated by the identified set of physics options. The best set of physics options were identified by calculating the average pattern correlation of the simulations carried out over six days. We conclude that the use of such physics option combination with WRF has the potential in forecasting the rainfall in Sri Lanka under the influence of a cyclone.T. D. Gamage. D.U.J. Sonnadara. S. Jayasinghe. S. Basnayake, Sensitivity Analysis of Simulating Rainfall Over Sri Lanka Associated with the Cyclone Amphan Using WRF, J. Innovation Sciences and Sustainable Technologies, 2(1)(2022),33-39. DOI: https://doie.org/10.0608/JISST.2022675509, E-mails: [email protected], [email protected], [email protected], senaka [email protected]
The Milky Way Project: A Galactic Bubble and Bow Shock Hunt
No full textWe present a newly revamped version of the Milky Way Project (https://www.milkywayproject.org) - a citizen science initiative designed to collect classifications of bubbles and bow shocks made by citizen scientists. By doing this, we are cataloging sites of star formation and massive stars throughout our Galaxy. Users of the Milky way Project make classifications using a variety of drawing tools and help scientists identify galactic bubbles, infrared stellar wind bow shocks and other astrophysical phenomenon that are seen in infrared images from the Spitzer Space Telescope. We analyze user classifications of bubbles drawn after the first Milky Way Project data release. We aim to utilize these classifications to improve upon the initial Milky Way Project bubble catalog which listed 5,106 galactic bubbles. In order to create a revised bubble catalogue, we investigate the use of a density based clustering algorithm to identify regions having many user drawn bubble classifications. The clustering algorithm creates clusters based on the number density of classifications made by users of the Milky Way Project. We investigate the clusters created by this algorithm in order to pick out and identify possible galactic bubbles. We present our initial results using this clustering algorithm. We also discuss the modifications made to the classification workflow to improve upon the previous phase of the Milky Way Project. This work is supported by the National Science Foundation under grants CAREER-1454334 and AST-1411851
The Milky Way Project: Checking the Work of Citizen Scientists
No full textWe present a new version of the Milky Way Project (MWP) to create a refined catalog of bubble classifications made by citizen scientists. The Milky Way Project users are able to make classifications over the internet, using various drawing tools to help them identify Galactic bubbles, bow shocks, and other strange phenomena that exist in the interstellar medium (ISM). Infrared Images from the Spitzer Space Telescope are classified by tens of thousands of users and then a computer algorithm is used to combine the individual classifications into “clusters” that represent individual bubbles. In order to create a refined catalog, we perform a visual review process by comparing these classifications with several other catalogs and we pick out and identify possible Galactic bubbles while eliminating false candidates. Studying these Galactic bubbles can give more insight on how they are formed and the ways in which they affect the ISM
The Milky Way Project: Mapping Our Galaxy One Click At A Time
No full textWe present a revamped version of the Milky Way Project, a citizen science initiative that provides astronomers with the tools to map our Galaxy for star birth and supersonic massive stars. This collaboration has engaged 35,000 citizens in astronomy since 2010. The Milky Way Project (MWP) presents internet users with images from the Spitzer Space Telescope along with a set of classification tools for the identification of bubbles, bow shocks and other astronomical phenomena. We analyzed user classifications of bubbles drawn after the first Milky Way Project data release to improve upon the initial bubble catalog, which listed 5,106 Galactic bubbles. to create a catalog of objects, we use a density based clustering algorithm which identifies regions where many users made classifications. We created a catalog of over 4000 bubbles using 2 million user classifications gathered between 2012 and 2015. Currently we are comparing the growing MWP bow shock catalog to the largest existing infrared bow shock catalog which contains several hundred candidates. Initial MWP bow shock results suggests we will discover a few hundred new bow shock candidates. We expect to use the MWP bow shock catalog to enhance the existing bow shock catalog. to collaborate in achieving any of the goals of the MWP volunteer at https://www.milkywayproject.org. This work is supported by the National Science Foundation under grants CAREER-1454334 and AST-1411851
Exploration of Spatiotemporal Expansion Pattern and Comparative Evaluation of Urban Growth Models: A Case Study of Colombo, Sri Lanka
No full textSocial Effects of Salt- Water Intrusion for Kethhena Water Intake at the Kaluganga River
No full textApplicability of working from home concept to IT organizations in Sri Lanka
No full textThe main objective of this thesis is to investigate the applicability of the working from home concept to IT organizations in Sri Lanka. Telework is a revolutionary working concept that has emerged with evolving technology. Working from home is the extreme end of telework.
In this thesis the author has selected main variables which are interrelated with the working from home concept. Those are Individual, Home, Organizational, Functional and Technological. A Carefully formulated online questionnaire was distributed among the sample population to do the quantitative analysis. A hypothesis was formed for each variable.
Individual and home variables ensure the applicability of working from home concept to IT organizations in Sri Lanka but contribution from other variables are not significant to analytics
Valuing virtue in medicine: a closer look at CanMEDS
No full textAbstract
The CanMEDS-2015 Framework outlines seven key roles expected of practicing physicians: communicator, collaborator, manager, health advocate, scholar, and professional. Critics have expressed concern about the omission of a proposed eighth role, ‘Physician as Person’ relevant to humane qualities and personal resilience of the physician. Upon further analyses, the Framework has included several virtuous attributes in the roles of a physician as professional and communicator. However, it addresses certain virtues like creativity, love, and spirituality inadequately. Drawing on literature from Positive Psychology, the author categorizes and additional set of virtues into six classes: wisdom, courage, humanity, justice, temperance, and transcendence. Based on these, the author lists virtues and concepts relevant to a ‘Virtuous Role’ for physicians. The CanMEDS Framework should integrate these virtues as a foundational or overarching role and draw from Virtue Ethics in religious and philosophical traditions. This approach is timely, giving ongoing efforts to update and develop CanMEDS2025. By adopting a Virtuous Role within CanMEDS, we aim to train physicians who are technically skilled and deeply humane, meeting society's expectations for compassionate and virtuous healthcare professional
Modeling of Granulation in Red Supergiants in the Magellanic Clouds with the Gaussian Process Regressions
No full textThe granulation of red supergiants (RSGs) in the Magellanic Clouds are
systematically investigated by combining the latest RSGs samples and light
curves from the Optical Gravitational Lensing Experiment and the All-Sky
Automated Survey for Supernovae. The present RSGs samples are firstly examined
for foreground stars and possible misidentified sources, and the light curves
are sequentially checked to remove the outliers by white noise and photometric
quality. The Gaussian Process regression is used to model the granulation, and
the Markov Chain Monte Carlo is applied to derive the granulation amplitude
and the period of the undamped oscillator , as well as the
damping timescale . The dimensionless quality factor is then
calculated through . RSGs around are
considered to have significant granulation signals and are used for further
analysis. Combining granulation parameters with stellar parameters, robust
scaling relations for the timescale are established, while the scaling
relations for amplitude are represented by a piecewise function,
possibly related to the tendency of amplitudes in faint RSGs to converge
towards a certain value. Comparing results between the SMC and LMC confirms
that amplitudes and timescales become larger with metallicity. In examining the
scaling relations between the two galaxies, it is found that is nearly
independent of metallicity, whereas is more significantly affected by
metallicity. The Gaussian Process method is compared with the periodogram
fitting of the granulations, and the advantages of either are discussed.Comment: 29 pages, 16 figures, 7 tables. Accept for publication in Ap
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