Jacqueline Keane NASA Astrobiology Pavel Senin University of Hawaii at

Slides:



Advertisements
Similar presentations
School of Chemistry, University of Nottingham,UK 1 Why Does Star Formation Need Surface Science? Using Laboratory Surface Science to Understand the Astronomical.
Advertisements

Crucial Patterns in Service- Oriented Architecture Jaroslav Král, Michal Žemlička Charles University, Prague.
Agent-based Modeling: A Brief Introduction Louis J. Gross The Institute for Environmental Modeling Departments of Ecology and Evolutionary Biology and.
Jonathan Rawlings (Lured over to the dark side by Neal Evans) University College London.
Application of Bayesian Statistical Methods for the Analysis of DSMC Simulations of Hypersonic Shocks James S. Strand and David B. Goldstein The University.
1 OBJECTIVES To generate a web-based system enables to assemble model configurations. to submit these configurations on different.
Cloudy u Accurate simulation of physical processes at the atomic & molecular level –“universal fitting formulae” to atomic processes fail when used outside.
Multiscale Stochastic Simulation Algorithm with Stochastic Partial Equilibrium Assumption for Chemically Reacting Systems Linda Petzold and Yang Cao University.
Standa Vaněček The potential of Integrated Modelling and the OpenMI Standa Vaněček DHI, Chairman of the OATC.
Technical Architectures
Adnan Khan Lahore University of Management Sciences Peter Kramer Rensselaer Polytechnic Institute.
Modeling the Physics of Galaxy Formation Andrew Benson California Institute of Technology.
Workload Management Workpackage Massimo Sgaravatto INFN Padova.
MCell Usage Scenario Project #7 CSE 260 UCSD Nadya Williams
Efficient Simulations of Gas-Grain Chemistry Using Moment Equations M.Sc. Thesis by Baruch Barzel preformed under the supervision of Prof. Ofer Biham.
The abundances of gaseous H 2 O and O 2 in dense cloud cores Eric Herbst & Helen Roberts The Ohio State University.
Computer Systems & Architecture Lesson Software Product Lines.
- Chaitanya Krishna Pappala Enterprise Architect- a tool for Business process modelling.
 Prototype for Course on Web Security ETEC 550.  Huge topic covering both system/network architecture and programming techniques.  Identified lack.
CASS-2006 (August 2006). The original results and software presented by the author: Jacqueline Keane. IDL implementation.
1 Performance Evaluation of Computer Networks: Part II Objectives r Simulation Modeling r Classification of Simulation Modeling r Discrete-Event Simulation.
Rational Unified Process Fundamentals Module 4: Disciplines II.
Sensitivity Analysis for DSMC Simulations of High- Temperature Air Chemistry James S. Strand and David B. Goldstein The University of Texas at Austin Sponsored.
Introduction and Overview Questions answered in this lecture: What is an operating system? How have operating systems evolved? Why study operating systems?
Publishing and Visualizing Large-Scale Semantically-enabled Earth Science Resources on the Web Benno Lee 1 Sumit Purohit 2
6st ACS Workshop UTFSM ACS Course Component, Container, Lifecycle Management 6st ACS Workshop UTFSM, Valparaiso, Chile H. Sommer, G. Chiozzi.
The Architecture of Secure Systems Jim Alves-Foss Laboratory for Applied Logic Department of Computer Science University of Idaho By, Nagaashwini Katta.
Converting Macromolecular Regulatory Models from Deterministic to Stochastic Formulation Pengyuan Wang, Ranjit Randhawa, Clifford A. Shaffer, Yang Cao,
Collaborators : Valentine Wakelam (supervisor)
First Author Address and the KIDA Team Abstract: KIDA (for KInetic Database for Astrochemistry) is a project initiated by different communities in order.
Planetary Science Archive PSA User Group Meeting #1 PSA UG #1  July 2 - 3, 2013  ESAC PSA Archiving Standards.
1. Process Gather Input – Today Form Coherent Consensus – Next two months.
The huge amount of resources available in the Grids, and the necessity to have the most up-to-date experimental software deployed in all the sites within.
SUPERCOMPUTING CHALLENGE KICKOFF 2015 A Model for Computational Science Investigations Oct 2015 © challenge.org Supercomputing Around.
From the Arrhenius equation we have: 301. From the Arrhenius equation we have: 302.
The System and Software Development Process Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Chapter 10 Software Engineering. Understand the software life cycle. Describe the development process models. Understand the concept of modularity in.
A Gas Grain Model of ISM Cores with Moment Equations to Treat Surface Chemistry Yezhe Pei & Eric Herbst The Ohio State University June 25 th, th.
Qiang Chang, Eric Herbst Chemistry department, University of Virginia
Summary  We have implemented numerically stable, continuous method of treating condensation on to grains in Titan’s atmosphere.  Our model can establish.
ERIC HERBST DEPARTMENTS OF PHYSICS, CHEMISTRY AND ASTRONOMY THE OHIO STATE UNIVERSITY Interstellar Chemistry: Triumphs & Shortcomings.
Software Engineering Laboratory, Department of Computer Science, Graduate School of Information Science and Technology, Osaka University IWPSE 2003 Program.
Advancing Galaxy Formation Modeling Andrew Benson California Institute of Technology.
Testing grain-surface chemistry in massive hot-core regions and the laboratory (A&A, 465, 913 and A&A submitted) Suzanne Bisschop Jes Jørgensen, Ewine.
ATLAS Grid Requirements A First Draft Rich Baker Brookhaven National Laboratory.
Application of the MCMC Method for the Calibration of DSMC Parameters James S. Strand and David B. Goldstein The University of Texas at Austin Sponsored.
Thread basics. A computer process Every time a program is executed a process is created It is managed via a data structure that keeps all things memory.
 Thermodynamics?  Therma (heat) + Dynamics (study of the causes of motion and changes in motion)  Heat = energy (1 st law?)  Wiki: the branch of physical.
Low-Mass Star Formation, Triggered by Supernova in Primordial Clouds Masahiro N. Machida (Chiba University) Kohji Tomisaka (NAOJ) Fumitaka Nakamura (Niigata.
Iclouds project report Pavel Senin Supervisors: Dr. Kim Binsted Dr. Jacqueline Keane Other people who played significant role: Dr. Philip Johnson Dr. Kyungim.
Parallel processing
Motivation and aims The Belousov-Zhabotinsky system The Java applet References 1.Stochastic Modelling Web Module:
Astrochemistry Les Houches Lectures September 2005 Lecture 2 T J Millar School of Physics and Astronomy University of Manchester PO Box88, Manchester M60.
Guy Cascella, in association with MPO531, presents: Featuring: African dust aerosols as atmospheric nuclei, DeMott et al, 2003 Chemical characteristics.
Section 2: Chemical Reactions
Psychophysics Software Suite Yearly project for Dr. Karen Banai.
1/30/2003 Los Alamos National Laboratory1 A Migration Framework for Legacy Scientific Applications  Current tendency: monolithic architectures large,
Introduction to Programming 1 1 2Introduction to Java.
The Virtual Observatory and Ecological Informatics System (VOEIS): Using RESTful architecture and an extensible data model to provide a unique data management.
IC-1/38 Lecture Kinetics IC-2/38 Lecture What is Kinetics ? Analysis of reaction mechanisms on the molecular scale Derivation.
Complex Organic Molecules formation on Interstellar Grains Qiang Chang Xinjiang Astronomical Observatory Chinese Academy of Sciences April 22, 2014.
SDN controllers App Network elements has two components: OpenFlow client, forwarding hardware with flow tables. The SDN controller must implement the network.
Inside a typical astrochemical model
On the Formation of Molecules on Interstellar Grains
Monte Carlo methods 10/20/11.
VI-SEEM Data Repository
Introduction to Cloud Computing
Chapter 2: System Structures
Code Analysis, Repository and Modelling for e-Neuroscience
Presentation transcript:

Jacqueline Keane NASA Astrobiology Pavel Senin University of Hawaii at Chemical reactions on interstellar dust grains play a crucial role in interstellar chemistry by promoting the formation of organic products. While many of the reaction rates are poorly understood and molecular formation routes are difficult to isolate in the laboratory, computer simulations of these reactions allows us to better understand the nature and evolution of interstellar molecules in molecular clouds. The work presented here is part of the University of Hawaii and NASA Institute of Astrobiology CASS 2006 initiative which aimed to involve graduate students from diverse regions of science into the field of Astrobiology. This particular collaboration resulted in the development of computational software that implements a MCMC stochastic model of the surface chemistry. The model adopts “scoundrel approach” based on the Langmuir- Hinshelwood and Eley-Rideal mechanism. While current work mimics in flow previously designed model and produces similar results, the presented software implementation written from scratch using Java and R. The software and source codes are available through the Google projects hosting using GPL and we believe that model will evolve much further through the contributor submissions. When compared with original IDL implementation performance, current software version is faster, runs on virtually any platform which supports Java, has CLI and GUI interfaces. Software provides numerous options for set-up and tuning of simulations. Modular architecture and use of threads allow running multiple simulations simultaneously on multi CPU platform. To assure the overall software equality we use automatic JUnit testing along with collection and analysis of various software metrics. Currently we are working on the gas-phase chemistry code and planning to release complete gas-surface chemistry model soon. We are going to change gas-phase chemical composition and ambient environment by injecting a data produced by the gas-phase model between processing intermediate population chunks. The sampling flow within the software Multiple independent samplers mimics the real-life random process driven by the parameters provided. The project homepage Hosted by Google, provides set of features: SVN, WiKi pages, Issue tracking, groups (mailing list), developers blog. The presented model deals with two processes: accretion of species from gas phase and on-surface chemistry. The model implements the Monte Carlo accretion limited method by using two essential and simplifying assumptions rules the chemistry processing: - the accretion timescale is much less than the timescales for reaction of the accreted atoms with other species; - there is no desorption of grain mantle species and thus the surface chemistry is not coupled back to the gas-phase. The reactions network considered here based on reactions that occur only between weakly bound sites: from one physisorbed to another physisorbed site as described by Langmuir-Hinshelwood chemistry. As for the species that are tightly bound to the surface the chemistry is ruled by Eley-Rideal mechanism. The software produces two types of output: the resulting chemical grain composition and full grain chemical evolution log. While first is used to compare computational results with observational data, the evolution log used for studying dynamic chemistry flow. This poster ….