Traveltimes with Adam
"Traveltimes, etc. with Adam" is a collection of both original handwritten notes as well as computer generated graphs. The notes themselves are contained within a red loose leaf binder. While most of the notes come from by himself, a couple pages are by Adam Baig, a Ph.D. student who worked with Dahlen at Princeton. Baig presented his thesis in September of 2003. It was titled "Wavefront Healing in Random Media."

The contents of this collection recount Dahlen's work with velocity fields and ray theory, ultimately seeking to further perfect the idea of solving the inverse problem of traveltimes, which refers to the notion of discovering properties of the Earth based on how long it takes for earthquake signals to get to various seismometers around the globe.

This collection can be found at: Guyot Hall, Princeton, NJ, 08544. Back to Main Page
Cover

Pages Sheet Numbers

Random velocity fields 1–3 1–3
Random velocity field 4–9 1–6
Travel-time delays in Random Media 10 N/A
More on random models 11–15 1–5
More on random models 16–20 1–5
Thinking about random models — one more time 21–31 1–11
δT_ray in a pseudo-random model (contains computer generated graphs) 32–89 1–3
Possibilities for Future Work [Adam Baig] 90 N/A
δT-ray continued 91–136 N/A
The Efficacy of Born Kernels for Computation of Traveltimes in Random Media 137–138 N/A
What I will do with my summer vacation [Adam Baig] 139 N/A
Amplitude Perturbations in Random Media [Adam Baig] 140–143 N/A
[Notes compiled at 2000 Fall AGU Meeting] 144–147 N/A
[Notes on traveltime anomaly distributions] 148–175 1–6, 1–8
Snieder and Sambridge eq. (53) Proof 176–228 1–17, 1–13, 1–6, 1–3, 1–8, 1–4
Traveltime variance 229 N/A
Mean Square Traveltime — one more time 230–282 1–10, 1–5, 7, 8–1, 1–12, 1–9
Ellipsoidal coordinates 283–332 1–12, 1–3, 1–2, 1–8, 1–9, 1–3, 1–5
Second order traveltime perturbation 333–352 1–16, 1–4
Second-order traveltime — what do we expect in ray theory 353–358 1–6
Second-order traveltime perturbation: finite frequency 359–387 1–20, 1–3, 1–6
Ray theoretical δT 388–397 1–7
Ensemble averaging — Gaussian medium 398–411 1–14
Mean square traveltime — slight mistake last time 412–420 1–8, 10
Mean traveltime — to second order — Gaussian random medium 421–458 1–8, 1–6, 1–4, 1–4, 1–7