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ASTRO/PHYS 545 · Week 1

Cosmology, and
how to work
with AI.

Donghui Jeong · Department of Astronomy & Astrophysics · Penn State

Start here

Cosmology has a short list of
very well measured numbers.

It is easy to mistake them for the subject. Consider what the precision is hiding.

1%We know the dark matter density this well.
We do not know what dark matter is.
betterWe know the dark energy density better than that.
We have no account of it whatsoever.
20 yrWe knew the baryon density to a percent for twenty years
while unable to say where most of the baryons were.
1990"The CMB is a blackbody" is a bound measured in 1990,
never improved, sitting three orders of magnitude above
the distortion $\Lambda$CDM predicts.

Every one of these is a statement about what the universe contains or how it began. Precision and ignorance sit together here.

The premise

AI now produces derivations, code and
literature summaries of high apparent quality.

So producing that material is no longer the scarce thing. What is scarce is carrying it the whole way: choosing what is worth asking, telling whether what comes back is true, and getting from there to something nobody knew before.

Carrying a parameter without its physical content is exactly the part of the work an AI already does better than you.

What we practice

One loop, every week,
for fifteen weeks.

Think → Ask AI → Inspect → Challenge →
Verify → Revise → Synthesize → Ask the next question.

The loop never changes. What changes is how well defined the material is, and how much of it is yours.

Weeks 2–6
Foundations. Problems whose answers are known.
Weeks 7–9
Constituents. What the universe contains, and how firmly.
Weeks 10–11
The clinic. The same loop, run on your own question.
Weeks 12–13
Probes. The surveys and detectors that will lead us there.
Weeks 14–15
The final project. Only one corner of it, but one step past the edge.

Consequence

This is not a lecture course.

What you do before class

Read the notes. Solve eight problems. Use AI freely.

What happens in class

Four names are drawn. Those four work the problems at the blackboard. Everyone else enhances what goes up there. I ask what each line costs.

I take both meetings this week. It is the only week I do.

75 minutes

A class, minute by minute.

5
draw
15 · problem 1
15 · problem 2
15 · problem 3
15 · problem 4
10
synth
Draw four names, one to each problem 8 min at the board · 3 min from the floor · 4 min me What today actually showed

Four names drawn at the start of class, one to each problem.
So you prepare all four.

Every class

The four who are drawn

Reproduce the argument on the board by hand. State where each assumption enters. Mark what you could not resolve.

Everyone else

Three kinds of enhancement earn a mark. Securing it: an assumption used but not stated. Continuing it: picking up a stalled derivation. Widening it: another route, a connection, a physical reading.

Four names, every class. Every draw is independent: presenting on Tuesday does not take you out of Thursday's. Everyone else is challenger and alternate at once, on duty every class.

Both are recorded: a circle for taking the board, a check for an enhancement. That record is the participation grade.

Say this out loud once

Nobody is defending anything.
Getting stuck is course material.

The room is working out together whether the argument holds. The presenter is the one holding the chalk.

When someone stalls: thirty seconds on their own, then the floor, then me. Picking up somebody else's stalled derivation is among the most valuable things anyone does here, and it earns a check.

Errors made and worked through at the board are not penalised. Reciting a memorised solution is.

Two things about how this room works

What you can do here is trained, not fixed

You will be stuck at that blackboard, in front of everyone and me, more than once. Leave the fixed picture of yourself at the door; it was never accurate.

I am not the one grading you

Evaluating your performance is the last thing I do here. The TA marks the written work. So when I press a line, nothing is at stake for your grade: answer it the way you would answer a colleague.

And what I am actually here for: that you leave a productive scientific commander of the AI army. Choosing the objective stays yours.

The week

Solved once, digested twice.

Mon noonSolutions due, all eight problems
TueClass · problems 1–4
WedNo class. Repair what Tuesday exposed
ThuClass · problems 5–8
FriFinal version, carrying its repair history

The final version shows what changed and why you had not caught it.
That history is the graded part. A solution that was wrong and correctly diagnosed scores above one that was right and unexamined. Official solutions go up after Friday, never before.

Written without AI

Two lines, one at each end
of every submission.

Opening

The point in your solutions you were least able to verify.

Closing

Where AI was wrong, incomplete, or confidently vague, and how you found out. If it was not, say so.

These two lines are the only written record this course keeps of how you work. I read every opening line before Tuesday.

Three times · weeks 2, 4, 6

Problem sets are the things
that do not fit on a blackboard.

A board segment is eight minutes, so the weekly problems never ask you to sustain a calculation across an afternoon. One deep problem does.

  • Before AI, ten minutes, written. Your strategy, the equations you expect to need, what you do not know.
  • Work with AI. No restrictions.
  • Solution. AI may draft it. You verify it and it goes out under your name.
  • Reflection, without AI. Where it was wrong, what you changed, how you knew.

The reflection is what is assessed. The solution is not. The ten minutes before AI exist so the reflection has something to compare against.

Weeks 2–6

Five weeks, five derivations
you should be able to rebuild.

Week 2
FRW geometry and kinematics
Week 3
Friedmann equations and expansion history
Week 4
Age, horizons, and distances
Week 5
Thermodynamics in the expanding universe
Week 6
Inflation

Five, not fourteen. Recombination, nucleosynthesis, dark matter and structure formation are not skipped; you meet them in the map weeks, as things people argue about rather than things you derive.

The arc

What you check AI against
is withdrawn in stages.

The foundation weeks

The course lecture notes: supposed to be correct, comparable line by line. I wrote them and nobody refereed them. Finding an error there is worth more than any solved problem.

The map weeks

Papers. Authoritative in a weaker sense, and they disagree with each other.

The final project

Your own map, and nothing else.

What is not withdrawn is the standard in this room. It is the same in week 15 as in week 1.

Weeks 7–9 and 12–13

Ten subjects, ten maps.

Constituents

photons · baryons · neutrinos · dark matter · dark energy · initial conditions

In order of how well we know them, so the sessions open as they go.

four things we still want to know about each

Probes

DESI, HETDEX · Roman, Euclid, LSST · LVK, LISA, PTA · SPHEREx

What will sharpen those claims, or break them.

the purpose · the chain · the systematics · the rest of the data

Four segments each, and the two blocks ask different questions: a constituent is something the universe contains, a probe is an instrument for finding out. The board fills into an actual map. One rule: any claim you attribute to a paper, you can point to in that paper.

The project

One corner of the map, in depth.
Then one step past its edge.

Week 8, FridayThe corner you are working in, one paragraph
Week 9, ThursdayThe question, revised against my reply. I approve it before I leave
Week 10Clinic with the TA. The room cuts your plan to size
Week 11Back at the board with what you built
Weeks 12–13Refine it while the class keeps mapping
Week 14, MondayThe report. Everyone, same night
Weeks 14–15Fifteen minutes, and ten of questions

The prototype is small by design. Reproduce one published figure. Check one approximation numerically. Analyse a subset of public data. The question is never whether the code runs.

You hand in a report on the Monday of week 14. Nobody is expected to turn it into a paper (although it will be great!). If that happens later, good.

The question the project actually asks

Can you use AI to construct a scientific calculation and establish that its result is trustworthy?

You will have answered it four times by then, against the Friedmann equations, three distance measures, the thermal history, and slow roll. The difference in the project is that nobody knows the answer.

Grading, and one rule about showing up

Weekly problems and maps25%
Participation: board, enhancement, attendance30%
Problem sets (3)15%
Final project30%

Attendance

If you are not here you are not in the draw and you are enhancing nothing, and neither shows up in the record. Both halves of the participation grade are earned in this room and nowhere else.

Attendance is not encouraged. It is required.

Attendance credit

You start with all of it.
Only one thing takes it away.

Drawn, not here
You lose one credit.
Not drawn, not here
Nothing is lost. The class absorbed it.
Told me first
Notice before the Monday deadline takes you out of the draw. No credit lost, and you owe one presenter slot later in the term.
Three lost
Participation is no longer recoverable at a passing level, and we meet before you continue in the course.

Illness, research travel and comparable obligations are arranged absences. The distinction is notice, not justification. If someone is out and their segment is open, pick it up and take the circle; you prepared all four anyway.

AI policy, in full

Use it. I encourage it.
Or don't, if you would rather
work it out yourself.

Solutions, derivations, code and literature analysis may be AI-generated in whole or in part. This course is not interested in which route you took. It is interested in whether you can defend where you arrived. Say in your closing line which problems you did which way.

Two exceptions: the opening and closing lines, and the reflection in each problem set. Those are where your judgment rather than your output is visible.

Before Thursday

One problem. Not graded.

Estimate the temperature at which the universe became neutral.

Two numbers are available to you: the binding energy of hydrogen, 13.6 eV, and the ratio of photons to baryons, roughly $10^9$. Use both, and say what each one does and where it comes from.

Then say what you would need in order to do better than an estimate.

Submit it by noon on Wednesday. Open and close it with the two lines. On Thursday I will work it at the board under the rules you just heard, and you will get to take it apart.