Resources for the ambitious undergraduate or beginning graduate researcher in astronomy & astrophysics

Compiled by: Chris Matzner.  I appreciate any suggestions of new links to add to this page; please email me. It is perpetually under construction.

Navigation
Starting research:
Choosing Topics
Good Research Habits
Conducting research:
Literature Searches
    ADS | arXiv
Computers/Software

    Linux/Unix | LaTeX | Emacs | vi
    Matlab | Octave | IDL | IRAF | Mathematica | Maple | Numerical Recipes
    SuperMongo | GnuPlot | Grace | VNC
    Programming Languages
        Fortran 90 | Fortran 77C++ | C | Awk, Perl, & Python
Statistical data analysis
Expressing your results:
Giving Presentations | Writing effectively
Advancing in the research world:
Attending Meetings | Visiting Research Groups
Obtaining Good Recommendations | Teaching Portfolios | Maintaining your CV | Writing Applications  

Starting Research                                                                        [top]

Choosing research topics

In some cases you will have a choice of with whom and on what you would like to work.  There are many criteria to consider, which vary somewhat depending on the length and scope of the project.  These include clarity of the project's goals; ease with which they can be decomposed into lesser (still worthy) goals; relevance to the community; and relevance to a larger research theme.  Don't forget to consider your own passions and talents in making this choice!  You should never find research to be a drag.
Good Research Practices

1. Read Cole Miller's excellent guidelines [postscript or PDF] for beginning astrophysics research.
2. With the help of your advisor, break the project into smaller goals that can be done in sequence.
3. Agree to a timeline for accomplishing these smaller goals.
4. Discuss your progress with your advisor - in person or in writing - at least once per week.  If new goals arise, or progress slips, then you should revise the original timeline.
5. Keep a log of your research activities.
6. Get to know the project very well:
a. Read the important literature to for expertise in your project area and to gain perspective on its significance to the community.  This requires constant effort and it is best to maintain a pace of one or more papers every few days.
b. If there are simple calculations to be done to understand the basics of the problem, do these without waiting for prompting from your advisor.
7. Interact frequently about your research with those around you, to gain perspective and feedback on your project.  Critical discussion is crucial to the development of a good research strategy.
8. It is very rare for researchers to succeed if they consider research a 9-5 job.  Usually it takes more time and effort than that. But, one must balance it with other interests to avoid going insane.  If you are passionate about your work then finding this balance is worth the struggle.  If not, why do research?

Conducting Research                                                                        [top]

Literature Searches
To do research in a subject, you must become an expert in it.  Therefore, research projects must always be accompanied by very thorough surveys of the scientific literature.  If you find an unexplored avenue, unjustified assumption, or unexplained phenomenon in past work, this can be the basis for a new project.  Once you've chosen your project, map out the sequence of concepts and arguments about it by tracing the important citations backward to their source.  At the same time, you should know of any recent developments that might impact (e.g., scoop!) your research.  Here are some primary tools:

Your local library – the right place to start for finding books, journals, and electronic resources otherwise hard to find.

Here is a large repository of on-line texts, which may cover your topic of interest.

The on-line Handbook of Space Astronomy & Astrophysics by Zombeck has a broad discussion of useful facts and formulae.

CDS's AstroWeb – a large, comprehensive collection of astronomy-related internet sites and resources

NASA ADS – get to know it. It can find and often display most astronomy articles, display lists of their references and citations and 'related' and 'also-read' articles to the one you've chosen. It also generates automatic LaTeX and BibTeX citations to the articles (using a standardized citation format); see the bottom of any abstract page. These, in turn, can be used to construct the bibliographies of your scientific reports and articles.  It is often updated with new, useful features.  Recently, it has gained the capacity to generate email updates on topics of your choice, and to generate, organize, annotate, and share "private libraries" of selected articles. 

The arXiv preprint server - A forum for the circulation of papers before publication.  You can sign up for daily emails of all astrophysics (astro-ph/) abstracts, for instance, but be ready to spend half an hour each day reading through them.   Most astronomy departments have a daily or weekly meeting to discuss the most interesting of these.  You may also submit refereed publications or conference proceedings.  Some people stick to the rule that articles should only be submitted after they have been submitted to journals or after they have been through one referee report.  There is no injunction against this, but it's probably not a bad idea, especially for a first publication.  Note: some, but not all, arXiv preprints are searchable via ADS if you click "arXiv" in the query form.

In addition, here are several excellent pages compiled by the Astronomy & Astrophysics Library at the University of Toronto:

Computer Literacy and Useful Scientific Software

Linux and Unix – Preferred operating system for scientific work. Note, Mac OS X is Unix-based (open the Terminal).

LaTeX – a typesetting language for writing scientific documents, including means to typeset equations and formulae and to include figures, tables, etc. This is far faster and more flexible than Word, believe me. In fact, it's practically the only way to produce scientific papers in astronomy.

Emacs – a sophisticated text editor with many commands and “modes” that are extremely useful for editing specific types of documents, viz. C or FORTRAN progams, LaTeX documents, etc.

vi – a text editor with a completely different set of rules from Emacs, and a fierce following. Note, there is a vi-mode in Emacs, so you can get the best of both worlds.

Matlab – an interactive language for data manipulation and visualization. Its syntax for doing operations on arrays and matrices has some commonalities with Fortran 90. It is especially useful if augmented with functions and routines (<function>.m) that perform common tasks (differentiation, trapezoidal integration, zero-crossings) on two-column arrays that define “functions” y(x). Matlab exists on the CITA machines but not in Astronomy.

Matlab has the capacity to produce publication-quality figures, which are easily generated and whose properties can be edited from the command line or via GUI tools.  It major drawback is that its TeX interpreter is limited to a range of symbols that does not include, for instance, the Sun symbol (\odot).

Octave – a free package (included in recent RedHat Linux releases) that is very similar to Matlab (to the point of using the .m filename extension) but which (for now) lacks a number of useful features. It employs GnuPlot for its graphics output.

IDL – similar in style to Matlab, but with a different (I say worse) syntax; more commonly used among astronomers. It therefore has available a wider range of pre-existing routines specifically for astronomical use.

IRAF – a package specifically for astronomical data reduction.

Mathematica – an environment for the symbolic (and numerical) manipulation and solution of equations. For instance, Mathematica shares with Matlab and IDL the ability to solve ordinary differential equations given sufficient boundary conditions (although the degree of user control is generally lower with Mathematica); however, only Mathematica (or Maple, or a few other symbolic math packages) can symbolically solve a differential or algebraic equation in closed form.

Maple – a mathematics package similar to Mathematica. More Canadian.

Numerical Methods

SuperMongo – a popular graphics package that can read data files, perform simple manipulations on them, and graph their output. Generally it is not as powerful an analysis package as Matlab or IDL; nevertheless, its graphical output can be cleaner and neater.

GnuPlot – a less powerful, but perhaps more straightforward, graphics package

Grace - a plotting package I have not tried, but which looks quite capable.

VNC – Not a software package. Instead, VNC is an efficient means to turn a window on your machine into a 'distant monitor' on an external machine. VNC uses compression to speed the transfer of mouse movements and keystrokes from your computer to the distant one. VNC comes standard with recent RedHat Linuxes, and it is downloadable for Windows (and perhaps other OSs) as well (you can get by with just the viewer on your own machine). You run 'vncserver' on the machine you want to log into, and 'vncviewer' on your local machine.
The first time you use VNC, it will prompt you for a password.  Do not forget this, as it remains your VNC password for all future sessions.  I suspect that a file must be deleted to establish a new one.
You may have to set up a 'ssh port tunnel' in order to get through the firewall on the distant machine; under Linux this can be accomplished with 'vncviewer -via user@<remotehost> localhost:<port>' where <remotehost> is the name of the distant computer and '<port>' = '4' corresponds to actual port 5904 (offset of 5900). 
To set up port tunneling under Windows, use an ssh program like the free one from ssh.com to log into the remote machine; define a profile for that login.  Then select "edit->settings->Connections->tunneling" and add a new connection of type TCP with the destination port both equal to 5904 (or 5900 + desktop number assigned by the server).  The listen port can be 5901, for instance.  Then run VNC viewer; you should be prompted for your VNC password and the host.  For the host, type "localhost:1" if you have mapped the distant port onto 5901.
SSH tunneling is strongly recommended and often mandatory, as VNC does not encrypt the information it transfers.

Programming Languages:

Statistical data analysis
Important for any interaction with data!
Specialized statistical methods are used in certain fields; I list here only introductory resources.
Expressing your results                                                                        [top]

Giving Presentations

The most important things to remember are:

0. Make sure you know what you're talking about.  You should know the subject, the background, and what the important questions are, as well as the details relevant to your own presentation.  If this is missing, the following stylistic points won't amount to much.
1. Practice your talk at least twice, preferably in the presence of someone who can give substantive critical feedback.
2. Start by giving the audience a sense of who you are, why you're interested in your subject, and what makes the topic (or your approach to it) distinctive.  That is, give the audience a sense of what's at stake so they'll stay awake.   Along these lines,
3. Explain up front what central question will be addressed in the talk and why this question is interesting and important.   Never launch into a complicated argument until you've thoroughly established why the audience should care about it.
4. Make sure each element of the talk has a point that builds toward the goal of the entire talk, and take time to remind the audience of these points and goals at regular intervals.
5. Make sure you speak clearly, include pauses at important places, maintain eye contact with your audience, and stop to ask for questions.  Treat questions with respect and interest, even if they seem derogatory.  If possible, incorporate aspects of the questions into the talk. Do not be afraid to say "I don't know."  Difficult questions should be postponed for discussion afterward.
6. Strive to be clear and concise.  Use your practice runs to streamline the discussion and to eliminate extraneous comments.  Be careful not to repeat yourself. Avoid jargon terms and excessive detail on overheads; make sure what is shown is legible and easily comprehensible, and that all graphs and figures (and their axis labels) and equations get explained in words.  Be careful to check the units of any equation, and make sure that every variable is defined as soon as it is introduced.  Many tips for clear expression are offered in the writing advice section.  Consider this discussion of how to speak clearly in the sciences.
7. Interest the audience.  Do it through analogies, posing puzzles, (brief) relevant anecdotes, etc... not jokes, unless you're naturally funny.  Act naturally at all times.  Make sure that the audience  feels they have learned something, even if it is only how to explain something clearly that they already knew.  This takes a lot of work, so start preparing your talk early.
8. Express enthusiasm for your subject.  The inflection of your speech and your gestures and body language should convey this. Speaking of body language:  do not pace or fidget; at the same time, don't stand motionless or hide work on the blackboard with your body; don't read your overheads.
9.  Some people think opening outlines are essential; others eschew them.  Be careful to use an outline only as a teaser for what's to come; don't fall into the trap of discussing material that will be properly introduced later.  I prefer not to include "Conclusions", "Summary," and "Future Directions" in the outline: these elements should exist in any talk and it wastes time to say them.  Stick to items that distinguish your work.
10. Finish your talk early enough to practice it several times. Did I say this already?  This is more impotant than trying to include last-minute results, although it may not feel that way at the time. Pay close attention to the critique of your test audience, and respond to it.

Writing Effectively

Many of the tips for presentations also apply to written expression.  Written documents should be clear, consise, and understandable to those outside your specialization.  It is worth the effort to find simple ways of explaining complex ideas.  Your paper or report should have a point, thesis, or central question which is stated immediately and that organizes the entire document. 
Advancing in the research world
                                                                        [top]

The following links are provided by the Astronomy & Astrophysics library at the University of Toronto:

Obtaining strong letters of recommendation

Professors are impressed by curiosity, creativity, dedication and tenacity, interest and enthusiasm, and initiative. (In short, “spark”.) Very beneficial also is the ability to carry projects through to their conclusion without cutting corners, and the ability and willingness to discuss your work and ask questions of others. A good letter of recommendation contains specific examples of these traits (and other positive qualities, including how the student functions within a group or in collaboration). For this reason, it is vital to create specific instances to refer to! And, it does not hurt at all to keep a log of your research activities for later reference (by you or your prof.).

Many good research practices will manifest themselves in good letters.  So, establish a schedule and a set of expectations with the professor early in the project, and then provide them with regular progress reports.  Professors will vastly prefer honest assessments of what can be done by when, to reasons for slipped deadlines after the fact. 

Visiting a Research Group or Prospective Institution

Whether visiting for an undergrad project or for a faculty job, remember that there is only one chance to make a good first impression.  Your hosts are taking time out of their schedule to meet with you, just as you are for them.  Even if you know that you will not join their group, there is ample opportunity for future interactions -- so make your best effort.  This includes listening attentively to their research activities, asking challenging questions, and maintaining a friendly and outgoing demeanor.  Do not feign knowledge or skills you don't have.  If possible, prepare in advance by looking up their projects, papers, websites, and collaborations.

Maintaining a Teaching Portfolio

Although this site is primarily about research, teaching is an integral part of the job description for graduate and professorial (and sometimes postdoc) positions.  Teaching well is also a noble end of its own.  When applying for jobs that include a teaching component, it is essential to provide some indication of your past experience.  This is best accomplished with a teaching portfolio in which you present curricula, syllabi, assignments, student testimonials and evaluations, etc., that may be of use in this regard. 

Here is a PDF file with advice on teaching portfolios from the University of Toronto.
Here is a list of books on effective teaching techniques in Astronomy and the physical sciences, compiled by U.Toronto's astronomy library.
How to Gain Teaching Experience from Richard Reis of the Chronicle for Higher Education

Maintaining your CV

A strong CV (curriculum vitae, or vita) is always useful. Here is the LaTeX file for my CV (as of Sept 04) and here is the postscript or PDF it generates. I hope you find these useful. Here are some links to how to construct your CV.  Please let me know if mine isn't up to par!

Writing Applications

There is a wealth of advice online at the University of Toronto Writing Centre's site on Effective Admissions Letters and on Application Letters and Résumés. Purdue University also has a comprehensive set of advice files.

Attending Meetings

It is never too early to think about attending meetings in your field of research; there are often special financial aid packages from societies like CASCA, AAS, UofT, and the meeting organizers to help bring young researchers. (I paid my own way to a very good meeting on starburst galaxies in the south of France when I was in the third year of graduate school.) A list of meetings is available at http://cadcwww.dao.nrc.ca/meetings/meetings.html.


Page maintained by Chris Matzner
Last revision 14 Sept 2007