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SU-EARTHSYS11 MAY182026

Last edited: May 5, 2026

There’s So Much Oil in the Ground

oil

“Fossilized Sunshine” photosynthesis => plant elements => preserved sedimentary rocks.

  • small critters
  • phytoplankton
  • plant matter

maturation process

Carbon-rich organic features, deposited. Increased pressure. Eventually compressed into…

kerogen

A solid, seminary rock that’s carbon rich. With enough pressure, carbons join up and then you get a chain.

Oil: C16H34, C7H16 etc.

increase pressure

….oil gets squeezed out from the kerogen, and then density differences makes it rise.

knowledgebase testing page

Last edited: May 5, 2026

A memo from the administrators at Metropolis Health System, in response to a nationwide blood shortage, asked the care teams and doctors at all of their hospitals to be particularly conservative and judicious in how they used blood products because of the critical shortage. Phoebe, a 17-year-old girl, is being treated for leukemia at Metro Hospital, which is part of the health system. She has gone through several rounds of chemotherapy, but has not responded to the treatment.

SU-EARTHSYS11 APR292026

Last edited: May 5, 2026

orogeny

crust is folded and deformed by lateral compression to form a mountain range

deformation

types of deformation—

  • displacement: stuff slip
  • rotation
  • distortion: metaphoric stresses

topography

features we see at the surface, in the verticle sense

relief

difference between highest and lowest points in an areao

mountain forming and plate boundaries

convergent bounaries

Subduction mountain building: volcanic arc behind

collisional orogones

continenant to continent convergence

2026-04-23

Last edited: April 4, 2026

Alex's Defense

Last edited: April 4, 2026

We need to figure out good aways of modeling/representing uncertainty.

unifying principle

  • data: samples / distribution
  • representation: simplify / keep what matters
  • control: convex / gradient / MPC

Different things requires different techniques but broadly the structure.

contributions

  • factor models of covariance
  • 1d projections of distributions and distribution shaping
  • informational representation: conditioning + shrinking horizon reoptimization

factor model

Suppose someone hands you a model for returns:

\begin{equation} r \approx F_{\text{base}} s + \varepsilon, s \sim \mathcal{N}\qty(0, \Omega_{\text{base}}), \epsilon \sim \mathcal{N}\qty(0, D_{\text{base}}) \end{equation}