Instructor: Prof. Chris Ormel
New Physics Building, 2nd floor, E223
chrisormel@tsinghua.edu.cn
Teaching Assistant: Zhixuan Li (李志炫)
l-zx24@mails.tsinghua.edu.cn
Time: Thursday 19:20—21:45
Course layout
course number is 40920013-90
distances, radiation, magnitudes, HR-diagram, atmospheres
Equations of States: degenerate matter, hydrostatic balance, polytropes
Nuclear fusion: energy reservoirs, proton-proton & CNO cycle, nucleosynthesis
mean free path and opacity, energy transport, stellar structure equations, stellar evolution, features in HR-diagram, homology, burning sequences, nucleosynthesis
Electronic/vibrational, and rotational transitions, H-atom, ionization, greenhouse
Star formation: virial theorem, Jeans mass, initial mass function, Eddington Luminosity, Dispersion relationship, gravitational instability
Planet formation: protoplanetary disks, disk instability and core accretion, gravitational focusing and runaway growth
planet detection techiques: radial velocity method, transits, microlensing, astrometry, direct imaging
The two body problem, orbital elements, resonances, numerical integration techniques; three body problem, Lagrange points, tides, Earth-Moon system
2nd edition; Carroll & Ostlie (2006); Main reference book for this course (but not all chapters will be discussed!) [jd.com]
(Astronomy and Astrophysics Library) 3 STG Edition by Kippenhahn, Rudolf, Weigert, Alfred published by Springer (1996)
by Murray & Dermott, Cambridge University Press (1999)
by Armitage, Cambridge University Press (2009)
by Tremaine, Cambridge University Press (2009)
o for slide overview
Don't forget to read the small fonts. I may skip some details in class, but it may help you to comprehend the material when you reviewing it.
You need to be able to follow, understand, and derive yourself the material presented on the blackboard.
Some material may not be covered in the book! So, do attend the lectures!
You need to be able to follow, understand, and derive yourself the material presented on the blackboard.
Wikipedia is today's Library of Alexandria. A true gem, indispensable to the modern scientist.
I have tried to place references (links) as much as possible. You should do the same in your reporting.
Grade = 0.2
PS
+ 0.2
Exam/quiz
+ 0.2
Exam/Problems
)
+0.2 max(
Presentation,[Report†]
)
+0.2 max(
Exam/Quiz,
in-class quizzes,
Exam/Probl.,
PS,
[Report†]
)
Course Elements and Grade contribution
In addition, the score can also be used towards the Free Area
Similar to the Problem Sets. The score can contribute towards your Free Areas
Similar to the in-class quizzes. Multiple choice questions
multiple choice questions about the 7 modules. The score can contribute towards your Free Area.
Every students gives a presentation about their project. Scheduled for the final 2 weeks. The score on the presentation can be replaced by the report.
This is optional. You can replace the score of the Presentation with it OR count it towards the Free Area (but not both!)
Grade = 0.2
PS
+ 0.2
Exam/quiz
+ 0.2
Exam/Problems
)
+0.2 max(
Presentation,[Report†]
)
+0.2 max(
Exam/Quiz,
in-class quizzes,
Exam/Probl.,
PS,
[Report†]
)
More grade optimization
The report is optional.
Grade = 0.2
PS
+ 0.2
Exam/quiz
+ 0.2
Exam/Problems
)
+0.2 max(
Presentation,[Report†]
)
+0.2 max(
Exam/Quiz,
in-class quizzes,
Exam/Probl.,
PS,
[Report†]
)
Examples
| Name | PS | Ex/Q | Ex/Pr | in-class Q. | Present. | Report | Free Area |
|---|---|---|---|---|---|---|---|
| Ann | 0.4 | 0.2 | 0.2 | — | — | 0.2 | PS |
| Bart | 0.2 | 0.2 | — | — | 0.2 | 0.4 | Report |
| Caro | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | — | in-class quizzes |
| Donald | 0.2 | 0.2 | 0.4 | — | 0.2 | — | Exam/Problems |
| contribution of various components to the final grade | |||||||
for the Stars and Planets course
PS will be distributed on the day when the module is first discussed in class. They must be returned one week after the last day the module has been covered in class
you should be able to motivate and reproduce your solution independently. We will be very strict on academic misconduct. Do NOT blindly copy homework from others. Do NOT conduct in plagiarism when writing reports. Always state references.
you do not learn anything when asking chatGPT to solve the problems for you, it will lead to lower grades, and it will take the TA much more effort to grade. Same rules as under collaboration apply. If you cannot reproduce your own solution or you cannot explain your methodology, you will get 0 points for the entire PS.
\begin{equation} E=mc^2 \end{equation}
No need to write down the numerical values if these have already been stated.
When asked ("What is", "Give the value", etc...) do give the numerical value at the end!
Suggestion: start with your primary answer and state additional arguments in brackets. (We will ignore them when they are wrong)
\begin{equation} E=mc^2 \end{equation}
No need to write down the numerical values if these have already been stated.
When asked ("What is", "Give the value", etc...) do give the numerical value at the end!
Suggestion: start with your primary answer and state additional arguments in brackets. (We will ignore them when they are wrong)
\begin{equation} E=mc^2 \end{equation}
No need to write down the numerical values if these have already been stated.
When asked ("What is", "Give the value", etc...) do give the numerical value at the end!
Suggestion: start with your primary answer and state additional arguments in brackets. (We will ignore them when they are wrong)
\begin{equation} E=mc^2 \end{equation}
No need to write down the numerical values if these have already been stated.
When asked ("What is", "Give the value", etc...) do give the numerical value at the end!
Suggestion: start with your primary answer and state additional arguments in brackets. (We will ignore them when they are wrong)
\begin{equation} E=mc^2 \end{equation}
No need to write down the numerical values if these have already been stated.
When asked ("What is", "Give the value", etc...) do give the numerical value at the end!
Suggestion: start with your primary answer and state additional arguments in brackets. (We will ignore them when they are wrong)
Like most astronomers, I will use the cgs (centimeter-gram-seconds) or Gaussian unit system.
The most radical difference with SI units is that the Gauss unit system omits proportionality constants in the electromagnetic laws. For example, the Coulomb law becomes
That is, without the proportionality constant of
.
The drawback of this choice is that other electromagnetic laws — notably Maxwell's equations — also look different. But we won't use them in this course
In your problem sets, you are welcome to use SI units. But take care and be consistent!
| unit | cgs unit | abbrev. | SI unit |
|---|---|---|---|
| length | centimeter | cm | 10-2m |
| time | seconds | s | 1 s |
| mass | gram | g | 10-3 kg |
| energy | erg | erg | 10-7 J |
| pressure | erg cm-3 | 10-1 Pa | |
| magnetic-B | Gauss | G | 10-4 T |
| cgs units | |||
| constant | symbol | cgs value | unit | SI value | unit |
|---|---|---|---|---|---|
| Astronomical unit | au | 1.496×1013 | cm | 1.496×1011 | m |
| Atomic mass constant | mu | 1.661×10-24 | g | 1.661×10-27 | kg |
| Boltzmann constant | k | 1.381×10−16 | erg K-1 | 1.381×10−23 | J K-1 |
| Electron mass | me | 9.109×10−28 | g | 9.109×10−31 | kg |
| Electron volt | eV | 1.602×10−12 | erg | 1.602×10−19 | J |
| Elementary charge | e | 4.803×10−10 | cm3/2 g1/2 s-1 | 1.602×10−19 | C |
| Gravitational constant | G | 6.674×10−8 | cm3 g-1 s-2 | 6.674×10−11 | m3 kg-1 s-2 |
| Planck constant | h | 6.626×10−27 | erg s | 6.626×10−34 | J s |
| Solar luminosity | L⊙ | 3.828×1033 | erg s-1 | 3.828×1026 | W |
| Solar radius | R⊙ | 6.957×1010 | cm | 6.957×108 | m |
| Solar mass | M⊙ | 1.988×1033 | g | 1.988×1030 | kg |
| Speed of light in vacuum | c | 2.998×1010 | cm s-1 | 2.998×108 | m s-1 |
| Some (fundamental) constants in cgs and SI units | |||||
Dimensional analysis:
you will not get the numerical prefactor right
Order-of-magnitude (OOM) calculations
to estimate the significance of an effect without performing a "lengthy" derivation
Example of OOM problems
for dummies
—By Zhixuan Li—
TA Zhixuan Li will host a tutorial how to use python/matplotlib and related packages. In this tutorial you will learn:
python3, matplotlib, jupyter lab, rebound
The tutorial is voluntarily but strongly recommended, especially if you do not know how to make plots. I suggest:
Zhixuan Li will send out a WeChat questionnaire on this
You will be conducting a mini research project in the field of stellar evolution. The procedure is the following:
See the MESA Project Manual in Tsinghua Cloud for further guidance. The performance must be satisfactory, as judged by TA Zhixuan Li. Note: if the performance is unsatisfactory, we will return the questions and you can only resubmit after 1 week. Submit well before the deadline.
See the Project Manual. The deadline to complete the problems and pick a project is 25 April. Projects are distributed on a first come, first serve basis.
This is optional. See grading procedure.
| topic | level |
|---|---|
| evolution of ... star | |
| 0.5 solar mass | ☆ |
| 2 solar mass | ☆ |
| 5 solar mass | ☆ |
| ... | ☆ |
| advanced problems | |
| mass loss during the RGB | ☆☆ |
| stellar variability | ☆☆ |
| Horizontal Branch and Red Clump | ☆☆ |
| Brown Dwarfs | ☆☆ |
| ... | ☆☆ |
| day | agenda | notes |
|---|---|---|
| 26.02 | M0/Introduction + Quiz-0 M1/Light... | Quiz-0 is not graded |
| 05.03 | M1/Light; start M2/Astromatter | |
| TBD | matplotlib tutorial (TA Zhixuan Li) | outside regular class; optional |
| 12.03 | M2/Astromatter | deadline PS-1 |
| 19.03 | end M2/Astromatter, start M3/Evolution | |
| 26.03 | continue M3/Evolution | |
| ... | (4 April lectures) | |
| 25.04 | deadline to finalize the topic of your mini-research project | |
| 30.04 | Labor day holiday — no class | |
| ... | (4 May lectures) | |
| 04.06 | project presentations | |
| 11.06 | project presentations | Last teaching day |
| TBD | exam | |
| upcoming schedule | ||