PAs: Kurt Hill, Andrew Peterson, Gregory Wimsatt, Anthony Kesich, Rosi Reed, Manuel Calderon de la Barca Sanchez.

- Dataset QA (Andrew Peterson)
- Trigger ID, runs
- Run by Run QA
- Integrated Luminosity estimate
- Systematic Uncertainty

- Acceptance (Kurt Hill)
- Raw pT, y distribution of Upsilon
- Accepted pT, y distribution of Upsilons
- Acceptance
- Raw pT, eta distribution of e+,e- daughters
- Accepted pT, eta distribution of e+,e- daughters
- Comparison plots between single-electron embedding, Upsilon embedding

- L0 Trigger
- DSM-ADC Distribution (data, i.e. mainly background) (Drew)
- DSM-ADC Distribution (Embedding) For accepted Upsilons, before and after L0 trigger selection
- Systematic Uncertainty (Estimate of possible calibration and resolution systematic offsets).
- "highest electron/positron Et" distribution from embedding (Accepted Upsilons, before and after L0 trigger selection)

- L2 Trigger
- E1 Cluster Et distribution (data, i.e. mainly background)
- E1 Cluster Et distribution (embedding, L0 triggered, before and after all L2 trigger cuts)
- L2 pair opening angle (cos theta) data (i.e. mainly background)
- L2 pair opening angle (cos theta) embedding. Needs map of (phi,eta)_MC to (phi,eta)_L2 from single electron embedding. Then a map from r1=(phi,eta, R_emc) to r1=(x,y,z) so that one can do cos(theta^L2) = r1.dot(r2)/(r1.mag()*r2.mag()). Plot cos theta distribution for L0 triggered events, before and after all L2 trigger cuts. (Kurt)
- L2 pair invariant mass from data (i.e. mainly background)
- L2 pair invariant mass from embedding. Needs simulation as for cos(theta), so that one can do m^2 = 2 * E1 * E2 * (1 - cos(theta)) where E1 and E2 are the L2 cluster energies. Plot the invariant mass distribution fro L0 triggered events, before and after all L2 trigger cuts. (Kurt)

- PID (Greg)
- dE/dx
- dE/dx vs p for the Upsilon triggered data
- nsigma_dE/dx calibration of means and sigmas
- Cut optimization (Maximization of electron effective signal)
- Final cuts for use in data analysis

- E/p
- E/p distributions for various p bins
- Study of E calibration and resolution between data and embedding (for L0 Trigger systematic uncertainty)
- Resolution and comparison with embedding (for cut efficiency estimation) (Kurt and Greg)

- dE/dx
- Yield extraction
- Invariant mass distributions
- Unlike-sign and Like-sign inv. mass (Drew)
- Like-sign subtracted inv. mass (Drew)
- Crystal-Ball shapes from embedding/simulation. (Kurt) Crystal-ball parameters to be used in fit (Drew)

- Fit to Like-sign subtracted inv. mass, using CB, DY, b-bbar.
- Contour plot (1sigma and 2sigma) of b-bbar cross section vs. DY cross section. (Drew)
- Upsilon yield estimation and stat. + fit error. (Drew)

- (2S+3S)/1S (Drew)

- Invariant mass distributions
- p
_{T}Spectra (Drew) - Cross section calculation.
- Yield
- Integrated luminosity
- Efficiency (Numbers for each state, and cross-section-branching-ratio-weighted average)
- Uncertainty

- h+/h- Corrections

- Acceptance (Kurt Hill) - Upsilon acceptance aproximated using a simulation that constructs Upsilons (flat in pT and y), lets them decay to e+e- pairs in the Upsilon's rest frame, and uses detector response functions generated from a single electron embedding to model detector effects. An in depth study of this method will also be included.
- Raw pT, y distribution of Upsilon
- Accepted pT, y distribution of Upsilons
- Acceptance
- Raw pT, eta distribution of e+,e- daughters
- Accepted pT, eta distribution of e+,e- daughters
- Comparison plots between single-electron embedding, Upsilon embedding

- Acceptance (Kurt Hill)
- Raw pT, y distribution of Upsilon
- Accepted pT, y distribution of Upsilons
- Acceptance
- Raw pT, eta distribution of e+,e- daughters
- Accepted pT, eta distribution of e+,e- daughters
- Comparison plots between single-electron embedding, Upsilon embedding