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1 < \chapter{\label{chapt:appendix}APPENDIX}
1 > \appendix
2 > \chapter{\label{chapt:oopse}Object-Oriented Parallel Simulation Engine}
3  
4 + Designing object-oriented software is hard, and designing reusable
5 + object-oriented scientific software is even harder. Absence of
6 + applying modern software development practices is the bottleneck of
7 + Scientific Computing community\cite{Wilson2006}. For instance, in
8 + the last 20 years , there are quite a few MD packages that were
9 + developed to solve common MD problems and perform robust simulations
10 + . However, many of the codes are legacy programs that are either
11 + poorly organized or extremely complex. Usually, these packages were
12 + contributed by scientists without official computer science
13 + training. The development of most MD applications are lack of strong
14 + coordination to enforce design and programming guidelines. Moreover,
15 + most MD programs also suffer from missing design and implement
16 + documents which is crucial to the maintenance and extensibility.
17 + Along the way of studying structural and dynamic processes in
18 + condensed phase systems like biological membranes and nanoparticles,
19 + we developed and maintained an Object-Oriented Parallel Simulation
20 + Engine ({\sc OOPSE}). This new molecular dynamics package has some
21 + unique features
22 + \begin{enumerate}
23 +  \item {\sc OOPSE} performs Molecular Dynamics (MD) simulations on non-standard
24 + atom types (transition metals, point dipoles, sticky potentials,
25 + Gay-Berne ellipsoids, or other "lumpy"atoms with orientational
26 + degrees of freedom), as well as rigid bodies.
27 +  \item {\sc OOPSE} uses a force-based decomposition algorithm using MPI on cheap
28 + Beowulf clusters to obtain very efficient parallelism.
29 +  \item {\sc OOPSE} integrates the equations of motion using advanced methods for
30 + orientational dynamics in NVE, NVT, NPT, NPAT, and NP$\gamma$T
31 + ensembles.
32 +  \item {\sc OOPSE} can carry out simulations on metallic systems using the
33 + Embedded Atom Method (EAM) as well as the Sutton-Chen potential.
34 +  \item {\sc OOPSE} can perform simulations on Gay-Berne liquid crystals.
35 +  \item  {\sc OOPSE} can simulate systems containing the extremely efficient
36 + extended-Soft Sticky Dipole (SSD/E) model for water.
37 + \end{enumerate}
38 +
39 + \section{\label{appendixSection:architecture }Architecture}
40 +
41 + Mainly written by \texttt{C/C++} and \texttt{Fortran90}, {\sc OOPSE}
42 + uses C++ Standard Template Library (STL) and fortran modules as the
43 + foundation. As an extensive set of the STL and Fortran90 modules,
44 + {\sc Base Classes} provide generic implementations of mathematical
45 + objects (e.g., matrices, vectors, polynomials, random number
46 + generators) and advanced data structures and algorithms(e.g., tuple,
47 + bitset, generic data, string manipulation). The molecular data
48 + structures for the representation of atoms, bonds, bends, torsions,
49 + rigid bodies and molecules \textit{etc} are contained in the {\sc
50 + Kernel} which is implemented with {\sc Base Classes} and are
51 + carefully designed to provide maximum extensibility and flexibility.
52 + The functionality required for applications is provide by the third
53 + layer which contains Input/Output, Molecular Mechanics and Structure
54 + modules. Input/Output module not only implements general methods for
55 + file handling, but also defines a generic force field interface.
56 + Another important component of Input/Output module is the meta-data
57 + file parser, which is rewritten using ANother Tool for Language
58 + Recognition(ANTLR)\cite{Parr1995, Schaps1999} syntax. The Molecular
59 + Mechanics module consists of energy minimization and a wide
60 + varieties of integration methods(see Chap.~\ref{chapt:methodology}).
61 + The structure module contains a flexible and powerful selection
62 + library which syntax is elaborated in
63 + Sec.~\ref{appendixSection:syntax}. The top layer is made of the main
64 + program of the package, \texttt{oopse} and it corresponding parallel
65 + version \texttt{oopse\_MPI}, as well as other useful utilities, such
66 + as \texttt{StatProps} (see Sec.~\ref{appendixSection:StaticProps}),
67 + \texttt{DynamicProps} (see
68 + Sec.~\ref{appendixSection:appendixSection:DynamicProps}),
69 + \texttt{Dump2XYZ} (see
70 + Sec.~\ref{appendixSection:appendixSection:Dump2XYZ}), \texttt{Hydro}
71 + (see Sec.~\ref{appendixSection:appendixSection:hydrodynamics})
72 + \textit{etc}.
73 +
74 + \begin{figure}
75 + \centering
76 + \includegraphics[width=\linewidth]{architecture.eps}
77 + \caption[The architecture of {\sc OOPSE}] {Overview of the structure
78 + of {\sc OOPSE}} \label{appendixFig:architecture}
79 + \end{figure}
80 +
81   \section{\label{appendixSection:desginPattern}Design Pattern}
82  
83 + Design patterns are optimal solutions to commonly-occurring problems
84 + in software design. Although originated as an architectural concept
85 + for buildings and towns by Christopher Alexander
86 + \cite{Alexander1987}, software patterns first became popular with
87 + the wide acceptance of the book, Design Patterns: Elements of
88 + Reusable Object-Oriented Software \cite{Gamma1994}. Patterns reflect
89 + the experience, knowledge and insights of developers who have
90 + successfully used these patterns in their own work. Patterns are
91 + reusable. They provide a ready-made solution that can be adapted to
92 + different problems as necessary. Pattern are expressive. they
93 + provide a common vocabulary of solutions that can express large
94 + solutions succinctly.
95  
96 < \subsection{\label{appendixSection:visitorPattern}Visitor Pattern}
96 > Patterns are usually described using a format that includes the
97 > following information:
98 > \begin{enumerate}
99 >  \item The \emph{name} that is commonly used for the pattern. Good pattern names form a vocabulary for
100 >  discussing conceptual abstractions. a pattern may have more than one commonly used or recognizable name
101 >  in the literature. In this case it is common practice to document these nicknames or synonyms under
102 >  the heading of \emph{Aliases} or \emph{Also Known As}.
103 >  \item The \emph{motivation} or \emph{context} that this pattern applies
104 >  to. Sometimes, it will include some prerequisites that should be satisfied before deciding to use a pattern
105 >  \item The \emph{solution} to the problem that the pattern
106 >  addresses. It describes how to construct the necessary work products. The description may include
107 >  pictures, diagrams and prose which identify the pattern's structure, its participants, and their
108 >  collaborations, to show how the problem is solved.
109 >  \item The \emph{consequences} of using the given solution to solve a
110 >  problem, both positive and negative.
111 > \end{enumerate}
112  
113 < \subsection{\label{appendixSection:templatePattern}Template Pattern}
113 > As one of the latest advanced techniques emerged from
114 > object-oriented community, design patterns were applied in some of
115 > the modern scientific software applications, such as JMol, {\sc
116 > OOPSE}\cite{Meineke05} and PROTOMOL\cite{Matthey05} \textit{etc}.
117 > The following sections enumerates some of the patterns used in {\sc
118 > OOPSE}.
119  
120 < \subsection{\label{appendixSection:factoryPattern}Factory Pattern}
120 > \subsection{\label{appendixSection:singleton}Singleton}
121  
122 < \section{\label{appendixSection:hierarchy}Hierarchy}
122 > The Singleton pattern not only provides a mechanism to restrict
123 > instantiation of a class to one object, but also provides a global
124 > point of access to the object. Currently implemented as a global
125 > variable, the logging utility which reports error and warning
126 > messages to the console in {\sc OOPSE} is a good candidate for
127 > applying the Singleton pattern to avoid the global namespace
128 > pollution.Although the singleton pattern can be implemented in
129 > various ways  to account for different aspects of the software
130 > designs, such as lifespan control \textit{etc}, we only use the
131 > static data approach in {\sc OOPSE}. IntegratorFactory class is
132 > declared as
133  
134 < \section{\label{appendixSection:selectionSyntax}Selection Syntax}
134 > \begin{lstlisting}[float,caption={[A classic Singleton design pattern implementation(I)] The declaration of of simple Singleton pattern.},label={appendixScheme:singletonDeclaration}]
135  
136 < \section{\label{appendixSection:hydrodynamics}Hydrodynamics}
136 > class IntegratorFactory {
137 > public:
138 >  static IntegratorFactory*
139 >  getInstance();
140 > protected:
141 >  IntegratorFactory();
142 > private:
143 >  static IntegratorFactory* instance_;
144 > };
145  
146 < \section{\label{appendixSection:analysisFramework}Analysis Framework}
146 > \end{lstlisting}
147  
148 < \subsection{\label{appendixSection:staticProps}Factory Properties}
148 > The corresponding implementation is
149  
150 < \subsection{\label{appendixSection:dynamicProps}Dynamics Properties}
150 > \begin{lstlisting}[float,caption={[A classic implementation of Singleton design pattern (II)] The implementation of simple Singleton pattern.},label={appendixScheme:singletonImplementation}]
151 >
152 > IntegratorFactory::instance_ = NULL;
153 >
154 > IntegratorFactory* getInstance() {
155 >  if (instance_ == NULL){
156 >    instance_ = new IntegratorFactory;
157 >  }
158 >  return instance_;
159 > }
160 >
161 > \end{lstlisting}
162 >
163 > Since constructor is declared as protected, a client can not
164 > instantiate IntegratorFactory directly. Moreover, since the member
165 > function getInstance serves as the only entry of access to
166 > IntegratorFactory, this approach fulfills the basic requirement, a
167 > single instance. Another consequence of this approach is the
168 > automatic destruction since static data are destroyed upon program
169 > termination.
170 >
171 > \subsection{\label{appendixSection:factoryMethod}Factory Method}
172 >
173 > Categoried as a creational pattern, the Factory Method pattern deals
174 > with the problem of creating objects without specifying the exact
175 > class of object that will be created. Factory Method is typically
176 > implemented by delegating the creation operation to the subclasses.
177 > Parameterized Factory pattern where factory method (
178 > createIntegrator member function) creates products based on the
179 > identifier (see List.~\ref{appendixScheme:factoryDeclaration}). If
180 > the identifier has been already registered, the factory method will
181 > invoke the corresponding creator (see List.~\ref{integratorCreator})
182 > which utilizes the modern C++ template technique to avoid excess
183 > subclassing.
184 >
185 > \begin{lstlisting}[float,caption={[The implementation of Parameterized Factory pattern (I)]Source code of IntegratorFactory class.},label={appendixScheme:factoryDeclaration}]
186 >
187 > class IntegratorFactory {
188 > public:
189 >  typedef std::map<string, IntegratorCreator*> CreatorMapType;
190 >
191 >  bool registerIntegrator(IntegratorCreator* creator) {
192 >    return creatorMap_.insert(creator->getIdent(), creator).second;
193 >  }
194 >
195 >  Integrator* createIntegrator(const string& id, SimInfo* info) {
196 >    Integrator* result = NULL;
197 >    CreatorMapType::iterator i = creatorMap_.find(id);
198 >    if (i != creatorMap_.end()) {
199 >      result = (i->second)->create(info);
200 >    }
201 >    return result;
202 >  }
203 >
204 > private:
205 >  CreatorMapType creatorMap_;
206 > };
207 > \end{lstlisting}
208 >
209 > \begin{lstlisting}[float,caption={[The implementation of Parameterized Factory pattern (III)]Source code of creator classes.},label={appendixScheme:integratorCreator}]
210 >
211 > class IntegratorCreator {
212 > public:
213 >    IntegratorCreator(const string& ident) : ident_(ident) {}
214 >
215 >    const string& getIdent() const { return ident_; }
216 >
217 >    virtual Integrator* create(SimInfo* info) const = 0;
218 >
219 > private:
220 >    string ident_;
221 > };
222 >
223 > template<class ConcreteIntegrator>
224 > class IntegratorBuilder : public IntegratorCreator {
225 > public:
226 >  IntegratorBuilder(const string& ident)
227 >                   : IntegratorCreator(ident) {}
228 >  virtual  Integrator* create(SimInfo* info) const {
229 >    return new ConcreteIntegrator(info);
230 >  }
231 > };
232 > \end{lstlisting}
233 >
234 > \subsection{\label{appendixSection:visitorPattern}Visitor}
235 >
236 > The visitor pattern is designed to decouple the data structure and
237 > algorithms used upon them by collecting related operation from
238 > element classes into other visitor classes, which is equivalent to
239 > adding virtual functions into a set of classes without modifying
240 > their interfaces. Fig.~\ref{appendixFig:visitorUML} demonstrates the
241 > structure of Visitor pattern which is used extensively in {\tt
242 > Dump2XYZ}. In order to convert an OOPSE dump file, a series of
243 > distinct operations are performed on different StuntDoubles (See the
244 > class hierarchy in Fig.~\ref{oopseFig:hierarchy} and the declaration
245 > in List.~\ref{appendixScheme:element}). Since the hierarchies
246 > remains stable, it is easy to define a visit operation (see
247 > List.~\ref{appendixScheme:visitor}) for each class of StuntDouble.
248 > Note that using Composite pattern\cite{Gamma1994}, CompositVisitor
249 > manages a priority visitor list and handles the execution of every
250 > visitor in the priority list on different StuntDoubles.
251 >
252 > \begin{figure}
253 > \centering
254 > \includegraphics[width=\linewidth]{visitor.eps}
255 > \caption[The UML class diagram of Visitor patten] {The UML class
256 > diagram of Visitor patten.} \label{appendixFig:visitorUML}
257 > \end{figure}
258 >
259 > %\begin{figure}
260 > %\centering
261 > %\includegraphics[width=\linewidth]{hierarchy.eps}
262 > %\caption[Class hierarchy for ojects in {\sc OOPSE}]{ A diagram of
263 > %the class hierarchy.
264 > %\begin{itemize}
265 > %\item A {\bf StuntDouble} is {\it any} object that can be manipulated by the
266 > %integrators and minimizers.
267 > %\item An {\bf Atom} is a fundamental point-particle that can be moved around during a simulation.
268 > %\item A {\bf DirectionalAtom} is an atom which has {\it orientational} as well as translational degrees of freedom.
269 > %\item A {\bf RigidBody} is a collection of {\bf Atom}s or {\bf
270 > %DirectionalAtom}s which behaves as a single unit.
271 > %\end{itemize}
272 > %} \label{oopseFig:hierarchy}
273 > %\end{figure}
274 >
275 > \begin{lstlisting}[float,caption={[The implementation of Visitor pattern (II)]Source code of the element classes.},label={appendixScheme:element}]
276 >
277 > class StuntDouble { public:
278 >  virtual void accept(BaseVisitor* v) = 0;
279 > };
280 >
281 > class Atom: public StuntDouble { public:
282 >  virtual void accept{BaseVisitor* v*} {
283 >    v->visit(this);
284 >  }
285 > };
286 >
287 > class DirectionalAtom: public Atom { public:
288 >  virtual void accept{BaseVisitor* v*} {
289 >    v->visit(this);
290 >  }
291 > };
292 >
293 > class RigidBody: public StuntDouble { public:
294 >  virtual void accept{BaseVisitor* v*} {
295 >    v->visit(this);
296 >  }
297 > };
298 >
299 > \end{lstlisting}
300 >
301 > \begin{lstlisting}[float,caption={[The implementation of Visitor pattern (I)]Source code of the visitor classes.},label={appendixScheme:visitor}]
302 >
303 > class BaseVisitor{
304 > public:
305 >  virtual void visit(Atom* atom);
306 >  virtual void visit(DirectionalAtom* datom);
307 >  virtual void visit(RigidBody* rb);
308 > };
309 >
310 > class BaseAtomVisitor:public BaseVisitor{ public:
311 >  virtual void visit(Atom* atom);
312 >  virtual void visit(DirectionalAtom* datom);
313 >  virtual void visit(RigidBody* rb);
314 > };
315 >
316 > class SSDAtomVisitor:public BaseAtomVisitor{ public:
317 >  virtual void visit(Atom* atom);
318 >  virtual void visit(DirectionalAtom* datom);
319 >  virtual void visit(RigidBody* rb);
320 > };
321 >
322 > class CompositeVisitor: public BaseVisitor {
323 > public:
324 >
325 >  typedef list<pair<BaseVisitor*, int> > VistorListType;
326 >  typedef VistorListType::iterator VisitorListIterator;
327 >  virtual void visit(Atom* atom) {
328 >    VisitorListIterator i;
329 >    BaseVisitor* curVisitor;
330 >    for(i = visitorList.begin();i != visitorList.end();++i) {
331 >      atom->accept(*i);
332 >    }
333 >  }
334 >
335 >  virtual void visit(DirectionalAtom* datom) {
336 >    VisitorListIterator i;
337 >    BaseVisitor* curVisitor;
338 >    for(i = visitorList.begin();i != visitorList.end();++i) {
339 >      atom->accept(*i);
340 >    }
341 >  }
342 >
343 >  virtual void visit(RigidBody* rb) {
344 >    VisitorListIterator i;
345 >    std::vector<Atom*> myAtoms;
346 >    std::vector<Atom*>::iterator ai;
347 >    myAtoms = rb->getAtoms();
348 >    for(i = visitorList.begin();i != visitorList.end();++i) {{
349 >      rb->accept(*i);
350 >      for(ai = myAtoms.begin(); ai != myAtoms.end(); ++ai){
351 >        (*ai)->accept(*i);
352 >    }
353 >  }
354 >
355 >  void addVisitor(BaseVisitor* v, int priority);
356 >
357 >  protected:
358 >    VistorListType visitorList;
359 > };
360 >
361 > \end{lstlisting}
362 >
363 > \section{\label{appendixSection:concepts}Concepts}
364 >
365 > OOPSE manipulates both traditional atoms as well as some objects
366 > that {\it behave like atoms}.  These objects can be rigid
367 > collections of atoms or atoms which have orientational degrees of
368 > freedom.  A diagram of the class hierarchy is illustrated in
369 > Fig.~\ref{oopseFig:hierarchy}. Every Molecule, Atom and
370 > DirectionalAtom in {\sc OOPSE} have their own names which are
371 > specified in the {\tt .md} file. In contrast, RigidBodies are
372 > denoted by their membership and index inside a particular molecule:
373 > [MoleculeName]\_RB\_[index] (the contents inside the brackets depend
374 > on the specifics of the simulation). The names of rigid bodies are
375 > generated automatically. For example, the name of the first rigid
376 > body in a DMPC molecule is DMPC\_RB\_0.
377 >
378 > \section{\label{appendixSection:syntax}Syntax of the Select Command}
379 >
380 > The most general form of the select command is: {\tt select {\it
381 > expression}}. This expression represents an arbitrary set of
382 > StuntDoubles (Atoms or RigidBodies) in {\sc OOPSE}. Expressions are
383 > composed of either name expressions, index expressions, predefined
384 > sets, user-defined expressions, comparison operators, within
385 > expressions, or logical combinations of the above expression types.
386 > Expressions can be combined using parentheses and the Boolean
387 > operators.
388 >
389 > \subsection{\label{appendixSection:logical}Logical expressions}
390 >
391 > The logical operators allow complex queries to be constructed out of
392 > simpler ones using the standard boolean connectives {\bf and}, {\bf
393 > or}, {\bf not}. Parentheses can be used to alter the precedence of
394 > the operators.
395 >
396 > \begin{center}
397 > \begin{tabular}{|ll|}
398 > \hline
399 > {\bf logical operator} & {\bf equivalent operator}  \\
400 > \hline
401 > and & ``\&'', ``\&\&'' \\
402 > or & ``$|$'', ``$||$'', ``,'' \\
403 > not & ``!''  \\
404 > \hline
405 > \end{tabular}
406 > \end{center}
407 >
408 > \subsection{\label{appendixSection:name}Name expressions}
409 >
410 > \begin{center}
411 > \begin{tabular}{|llp{2in}|}
412 > \hline {\bf type of expression} & {\bf examples} & {\bf translation
413 > of
414 > examples} \\
415 > \hline expression without ``.'' & select DMPC & select all
416 > StuntDoubles
417 > belonging to all DMPC molecules \\
418 > & select C* & select all atoms which have atom types beginning with C
419 > \\
420 > & select DMPC\_RB\_* & select all RigidBodies in DMPC molecules (but
421 > only select the rigid bodies, and not the atoms belonging to them). \\
422 > \hline expression has one ``.'' & select TIP3P.O\_TIP3P & select the
423 > O\_TIP3P
424 > atoms belonging to TIP3P molecules \\
425 > & select DMPC\_RB\_O.PO4 & select the PO4 atoms belonging to
426 > the first
427 > RigidBody in each DMPC molecule \\
428 > & select DMPC.20 & select the twentieth StuntDouble in each DMPC
429 > molecule \\
430 > \hline expression has two ``.''s & select DMPC.DMPC\_RB\_?.* &
431 > select all atoms
432 > belonging to all rigid bodies within all DMPC molecules \\
433 > \hline
434 > \end{tabular}
435 > \end{center}
436 >
437 > \subsection{\label{appendixSection:index}Index expressions}
438 >
439 > \begin{center}
440 > \begin{tabular}{|lp{4in}|}
441 > \hline
442 > {\bf examples} & {\bf translation of examples} \\
443 > \hline
444 > select 20 & select all of the StuntDoubles belonging to Molecule 20 \\
445 > select 20 to 30 & select all of the StuntDoubles belonging to
446 > molecules which have global indices between 20 (inclusive) and 30
447 > (exclusive) \\
448 > \hline
449 > \end{tabular}
450 > \end{center}
451 >
452 > \subsection{\label{appendixSection:predefined}Predefined sets}
453 >
454 > \begin{center}
455 > \begin{tabular}{|ll|}
456 > \hline
457 > {\bf keyword} & {\bf description} \\
458 > \hline
459 > all & select all StuntDoubles \\
460 > none & select none of the StuntDoubles \\
461 > \hline
462 > \end{tabular}
463 > \end{center}
464 >
465 > \subsection{\label{appendixSection:userdefined}User-defined expressions}
466 >
467 > Users can define arbitrary terms to represent groups of
468 > StuntDoubles, and then use the define terms in select commands. The
469 > general form for the define command is: {\bf define {\it term
470 > expression}}. Once defined, the user can specify such terms in
471 > boolean expressions
472 >
473 > {\tt define SSDWATER SSD or SSD1 or SSDRF}
474 >
475 > {\tt select SSDWATER}
476 >
477 > \subsection{\label{appendixSection:comparison}Comparison expressions}
478 >
479 > StuntDoubles can be selected by using comparision operators on their
480 > properties. The general form for the comparison command is: a
481 > property name, followed by a comparision operator and then a number.
482 >
483 > \begin{center}
484 > \begin{tabular}{|l|l|}
485 > \hline
486 > {\bf property} & mass, charge \\
487 > {\bf comparison operator} & ``$>$'', ``$<$'', ``$=$'', ``$>=$'',
488 > ``$<=$'', ``$!=$'' \\
489 > \hline
490 > \end{tabular}
491 > \end{center}
492 >
493 > For example, the phrase {\tt select mass > 16.0 and charge < -2}
494 > would select StuntDoubles which have mass greater than 16.0 and
495 > charges less than -2.
496 >
497 > \subsection{\label{appendixSection:within}Within expressions}
498 >
499 > The ``within'' keyword allows the user to select all StuntDoubles
500 > within the specified distance (in Angstroms) from a selection,
501 > including the selected atom itself. The general form for within
502 > selection is: {\tt select within(distance, expression)}
503 >
504 > For example, the phrase {\tt select within(2.5, PO4 or NC4)} would
505 > select all StuntDoubles which are within 2.5 angstroms of PO4 or NC4
506 > atoms.
507 >
508 >
509 > \section{\label{appendixSection:analysisFramework}Analysis Framework}
510 >
511 > \subsection{\label{appendixSection:StaticProps}StaticProps}
512 >
513 > {\tt StaticProps} can compute properties which are averaged over
514 > some or all of the configurations that are contained within a dump
515 > file. The most common example of a static property that can be
516 > computed is the pair distribution function between atoms of type $A$
517 > and other atoms of type $B$, $g_{AB}(r)$.  {\tt StaticProps} can
518 > also be used to compute the density distributions of other molecules
519 > in a reference frame {\it fixed to the body-fixed reference frame}
520 > of a selected atom or rigid body.
521 >
522 > There are five seperate radial distribution functions availiable in
523 > OOPSE. Since every radial distrbution function invlove the
524 > calculation between pairs of bodies, {\tt -{}-sele1} and {\tt
525 > -{}-sele2} must be specified to tell StaticProps which bodies to
526 > include in the calculation.
527 >
528 > \begin{description}
529 > \item[{\tt -{}-gofr}] Computes the pair distribution function,
530 > \begin{equation*}
531 > g_{AB}(r) = \frac{1}{\rho_B}\frac{1}{N_A} \langle \sum_{i \in A}
532 > \sum_{j \in B} \delta(r - r_{ij}) \rangle
533 > \end{equation*}
534 > \item[{\tt -{}-r\_theta}] Computes the angle-dependent pair distribution
535 > function. The angle is defined by the intermolecular vector
536 > $\vec{r}$ and $z$-axis of DirectionalAtom A,
537 > \begin{equation*}
538 > g_{AB}(r, \cos \theta) = \frac{1}{\rho_B}\frac{1}{N_A} \langle
539 > \sum_{i \in A} \sum_{j \in B} \delta(r - r_{ij}) \delta(\cos
540 > \theta_{ij} - \cos \theta)\rangle
541 > \end{equation*}
542 > \item[{\tt -{}-r\_omega}] Computes the angle-dependent pair distribution
543 > function. The angle is defined by the $z$-axes of the two
544 > DirectionalAtoms A and B.
545 > \begin{equation*}
546 > g_{AB}(r, \cos \omega) = \frac{1}{\rho_B}\frac{1}{N_A} \langle
547 > \sum_{i \in A} \sum_{j \in B} \delta(r - r_{ij}) \delta(\cos
548 > \omega_{ij} - \cos \omega)\rangle
549 > \end{equation*}
550 > \item[{\tt -{}-theta\_omega}] Computes the pair distribution in the angular
551 > space $\theta, \omega$ defined by the two angles mentioned above.
552 > \begin{equation*}
553 > g_{AB}(\cos\theta, \cos \omega) = \frac{1}{\rho_B}\frac{1}{N_A}
554 > \langle \sum_{i \in A} \sum_{j \in B} \langle \delta(\cos
555 > \theta_{ij} - \cos \theta) \delta(\cos \omega_{ij} - \cos
556 > \omega)\rangle
557 > \end{equation*}
558 > \item[{\tt -{}-gxyz}] Calculates the density distribution of particles of type
559 > B in the body frame of particle A. Therefore, {\tt -{}-originsele}
560 > and {\tt -{}-refsele} must be given to define A's internal
561 > coordinate set as the reference frame for the calculation.
562 > \end{description}
563 >
564 > The vectors (and angles) associated with these angular pair
565 > distribution functions are most easily seen in the figure below:
566 >
567 > \begin{figure}
568 > \centering
569 > \includegraphics[width=3in]{definition.eps}
570 > \caption[Definitions of the angles between directional objects]{ \\
571 > Any two directional objects (DirectionalAtoms and RigidBodies) have
572 > a set of two angles ($\theta$, and $\omega$) between the z-axes of
573 > their body-fixed frames.} \label{oopseFig:gofr}
574 > \end{figure}
575 >
576 > Due to the fact that the selected StuntDoubles from two selections
577 > may be overlapped, {\tt StaticProps} performs the calculation in
578 > three stages which are illustrated in
579 > Fig.~\ref{oopseFig:staticPropsProcess}.
580 >
581 > \begin{figure}
582 > \centering
583 > \includegraphics[width=\linewidth]{staticPropsProcess.eps}
584 > \caption[A representation of the three-stage correlations in
585 > \texttt{StaticProps}]{This diagram illustrates three-stage
586 > processing used by \texttt{StaticProps}. $S_1$ and $S_2$ are the
587 > numbers of selected stuntdobules from {\tt -{}-sele1} and {\tt
588 > -{}-sele2} respectively, while $C$ is the number of stuntdobules
589 > appearing at both sets. The first stage($S_1-C$ and $S_2$) and
590 > second stages ($S_1$ and $S_2-C$) are completely non-overlapping. On
591 > the contrary, the third stage($C$ and $C$) are completely
592 > overlapping} \label{oopseFig:staticPropsProcess}
593 > \end{figure}
594 >
595 > The options available for {\tt StaticProps} are as follows:
596 > \begin{longtable}[c]{|EFG|}
597 > \caption{StaticProps Command-line Options}
598 > \\ \hline
599 > {\bf option} & {\bf verbose option} & {\bf behavior} \\ \hline
600 > \endhead
601 > \hline
602 > \endfoot
603 >  -h& {\tt -{}-help}                    &  Print help and exit \\
604 >  -V& {\tt -{}-version}                 &  Print version and exit \\
605 >  -i& {\tt -{}-input}          &  input dump file \\
606 >  -o& {\tt -{}-output}         &  output file name \\
607 >  -n& {\tt -{}-step}                &  process every n frame  (default=`1') \\
608 >  -r& {\tt -{}-nrbins}              &  number of bins for distance  (default=`100') \\
609 >  -a& {\tt -{}-nanglebins}          &  number of bins for cos(angle)  (default= `50') \\
610 >  -l& {\tt -{}-length}           &  maximum length (Defaults to 1/2 smallest length of first frame) \\
611 >    & {\tt -{}-sele1}   & select the first StuntDouble set \\
612 >    & {\tt -{}-sele2}   & select the second StuntDouble set \\
613 >    & {\tt -{}-sele3}   & select the third StuntDouble set \\
614 >    & {\tt -{}-refsele} & select reference (can only be used with {\tt -{}-gxyz}) \\
615 >    & {\tt -{}-molname}           & molecule name \\
616 >    & {\tt -{}-begin}                & begin internal index \\
617 >    & {\tt -{}-end}                  & end internal index \\
618 > \hline
619 > \multicolumn{3}{|l|}{One option from the following group of options is required:} \\
620 > \hline
621 >    &  {\tt -{}-gofr}                    &  $g(r)$ \\
622 >    &  {\tt -{}-r\_theta}                 &  $g(r, \cos(\theta))$ \\
623 >    &  {\tt -{}-r\_omega}                 &  $g(r, \cos(\omega))$ \\
624 >    &  {\tt -{}-theta\_omega}             &  $g(\cos(\theta), \cos(\omega))$ \\
625 >    &  {\tt -{}-gxyz}                    &  $g(x, y, z)$ \\
626 >    &  {\tt -{}-p2}                      &  $P_2$ order parameter ({\tt -{}-sele1} and {\tt -{}-sele2} must be specified) \\
627 >    &  {\tt -{}-scd}                     &  $S_{CD}$ order parameter(either {\tt -{}-sele1}, {\tt -{}-sele2}, {\tt -{}-sele3} are specified or {\tt -{}-molname}, {\tt -{}-begin}, {\tt -{}-end} are specified) \\
628 >    &  {\tt -{}-density}                 &  density plot ({\tt -{}-sele1} must be specified) \\
629 >    &  {\tt -{}-slab\_density}           &  slab density ({\tt -{}-sele1} must be specified)
630 > \end{longtable}
631 >
632 > \subsection{\label{appendixSection:DynamicProps}DynamicProps}
633 >
634 > {\tt DynamicProps} computes time correlation functions from the
635 > configurations stored in a dump file.  Typical examples of time
636 > correlation functions are the mean square displacement and the
637 > velocity autocorrelation functions.   Once again, the selection
638 > syntax can be used to specify the StuntDoubles that will be used for
639 > the calculation.  A general time correlation function can be thought
640 > of as:
641 > \begin{equation}
642 > C_{AB}(t) = \langle \vec{u}_A(t) \cdot \vec{v}_B(0) \rangle
643 > \end{equation}
644 > where $\vec{u}_A(t)$ is a vector property associated with an atom of
645 > type $A$ at time $t$, and $\vec{v}_B(t^{\prime})$ is a different
646 > vector property associated with an atom of type $B$ at a different
647 > time $t^{\prime}$.  In most autocorrelation functions, the vector
648 > properties ($\vec{v}$ and $\vec{u}$) and the types of atoms ($A$ and
649 > $B$) are identical, and the three calculations built in to {\tt
650 > DynamicProps} make these assumptions.  It is possible, however, to
651 > make simple modifications to the {\tt DynamicProps} code to allow
652 > the use of {\it cross} time correlation functions (i.e. with
653 > different vectors).  The ability to use two selection scripts to
654 > select different types of atoms is already present in the code.
655 >
656 > For large simulations, the trajectory files can sometimes reach
657 > sizes in excess of several gigabytes. In order to effectively
658 > analyze that amount of data. In order to prevent a situation where
659 > the program runs out of memory due to large trajectories,
660 > \texttt{dynamicProps} will estimate the size of free memory at
661 > first, and determine the number of frames in each block, which
662 > allows the operating system to load two blocks of data
663 > simultaneously without swapping. Upon reading two blocks of the
664 > trajectory, \texttt{dynamicProps} will calculate the time
665 > correlation within the first block and the cross correlations
666 > between the two blocks. This second block is then freed and then
667 > incremented and the process repeated until the end of the
668 > trajectory. Once the end is reached, the first block is freed then
669 > incremented, until all frame pairs have been correlated in time.
670 > This process is illustrated in
671 > Fig.~\ref{oopseFig:dynamicPropsProcess}.
672 >
673 > \begin{figure}
674 > \centering
675 > \includegraphics[width=\linewidth]{dynamicPropsProcess.eps}
676 > \caption[A representation of the block correlations in
677 > \texttt{dynamicProps}]{This diagram illustrates block correlations
678 > processing in \texttt{dynamicProps}. The shaded region represents
679 > the self correlation of the block, and the open blocks are read one
680 > at a time and the cross correlations between blocks are calculated.}
681 > \label{oopseFig:dynamicPropsProcess}
682 > \end{figure}
683 >
684 > The options available for DynamicProps are as follows:
685 > \begin{longtable}[c]{|EFG|}
686 > \caption{DynamicProps Command-line Options}
687 > \\ \hline
688 > {\bf option} & {\bf verbose option} & {\bf behavior} \\ \hline
689 > \endhead
690 > \hline
691 > \endfoot
692 >  -h& {\tt -{}-help}                   & Print help and exit \\
693 >  -V& {\tt -{}-version}                & Print version and exit \\
694 >  -i& {\tt -{}-input}         & input dump file \\
695 >  -o& {\tt -{}-output}        & output file name \\
696 >    & {\tt -{}-sele1} & select first StuntDouble set \\
697 >    & {\tt -{}-sele2} & select second StuntDouble set (if sele2 is not set, use script from sele1) \\
698 > \hline
699 > \multicolumn{3}{|l|}{One option from the following group of options is required:} \\
700 > \hline
701 >  -r& {\tt -{}-rcorr}                  & compute mean square displacement \\
702 >  -v& {\tt -{}-vcorr}                  & compute velocity correlation function \\
703 >  -d& {\tt -{}-dcorr}                  & compute dipole correlation function
704 > \end{longtable}
705 >
706 > \section{\label{appendixSection:tools}Other Useful Utilities}
707 >
708 > \subsection{\label{appendixSection:Dump2XYZ}Dump2XYZ}
709 >
710 > {\tt Dump2XYZ} can transform an OOPSE dump file into a xyz file
711 > which can be opened by other molecular dynamics viewers such as Jmol
712 > and VMD\cite{Humphrey1996}. The options available for Dump2XYZ are
713 > as follows:
714 >
715 >
716 > \begin{longtable}[c]{|EFG|}
717 > \caption{Dump2XYZ Command-line Options}
718 > \\ \hline
719 > {\bf option} & {\bf verbose option} & {\bf behavior} \\ \hline
720 > \endhead
721 > \hline
722 > \endfoot
723 >  -h & {\tt -{}-help} &                        Print help and exit \\
724 >  -V & {\tt -{}-version} &                     Print version and exit \\
725 >  -i & {\tt -{}-input}  &             input dump file \\
726 >  -o & {\tt -{}-output} &             output file name \\
727 >  -n & {\tt -{}-frame}   &                 print every n frame  (default=`1') \\
728 >  -w & {\tt -{}-water}       &                 skip the the waters  (default=off) \\
729 >  -m & {\tt -{}-periodicBox} &                 map to the periodic box  (default=off)\\
730 >  -z & {\tt -{}-zconstraint}  &                replace the atom types of zconstraint molecules  (default=off) \\
731 >  -r & {\tt -{}-rigidbody}  &                  add a pseudo COM atom to rigidbody  (default=off) \\
732 >  -t & {\tt -{}-watertype} &                   replace the atom type of water model (default=on) \\
733 >  -b & {\tt -{}-basetype}  &                   using base atom type  (default=off) \\
734 >     & {\tt -{}-repeatX}  &                 The number of images to repeat in the x direction  (default=`0') \\
735 >     & {\tt -{}-repeatY} &                 The number of images to repeat in the y direction  (default=`0') \\
736 >     &  {\tt -{}-repeatZ}  &                The number of images to repeat in the z direction  (default=`0') \\
737 >  -s & {\tt -{}-selection} & By specifying {\tt -{}-selection}=``selection command'' with Dump2XYZ, the user can select an arbitrary set of StuntDoubles to be
738 > converted. \\
739 >     & {\tt -{}-originsele} & By specifying {\tt -{}-originsele}=``selection command'' with Dump2XYZ, the user can re-center the origin of the system around a specific StuntDouble \\
740 >     & {\tt -{}-refsele} &  In order to rotate the system, {\tt -{}-originsele} and {\tt -{}-refsele} must be given to define the new coordinate set. A StuntDouble which contains a dipole (the direction of the dipole is always (0, 0, 1) in body frame) is specified by {\tt -{}-originsele}. The new x-z plane is defined by the direction of the dipole and the StuntDouble is specified by {\tt -{}-refsele}.
741 > \end{longtable}
742 >
743 > \subsection{\label{appendixSection:hydrodynamics}Hydro}
744 >
745 > {\tt Hydro} can calculate resistance and diffusion tensors at the
746 > center of resistance. Both tensors at the center of diffusion can
747 > also be reported from the program, as well as the coordinates for
748 > the beads which are used to approximate the arbitrary shapes. The
749 > options available for Hydro are as follows:
750 > \begin{longtable}[c]{|EFG|}
751 > \caption{Hydrodynamics Command-line Options}
752 > \\ \hline
753 > {\bf option} & {\bf verbose option} & {\bf behavior} \\ \hline
754 > \endhead
755 > \hline
756 > \endfoot
757 >  -h & {\tt -{}-help} &                        Print help and exit \\
758 >  -V & {\tt -{}-version} &                     Print version and exit \\
759 >  -i & {\tt -{}-input}  &             input dump file \\
760 >  -o & {\tt -{}-output} &             output file prefix  (default=`hydro') \\
761 >  -b & {\tt -{}-beads}  &                   generate the beads only, hydrodynamics calculation will not be performed (default=off)\\
762 >     & {\tt -{}-model}  &                 hydrodynamics model (supports ``AnalyticalModel'', ``RoughShell'' and ``BeadModel'') \\
763 > \end{longtable}

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