25 July 2025 Friday

Time Block

   
9 Review
  Chat Wes
10 [BROKEN LINK: 86FD8339-3EFE-4767-922E-FB1572082FA0]
  [BROKEN LINK: 86FD8339-3EFE-4767-922E-FB1572082FA0]
11 Chance and Lei
  Chance and Lei
12 Hoops
  Hoops
1 Hoops
  Hoops
2 [BROKEN LINK: 86FD8339-3EFE-4767-922E-FB1572082FA0]
  Chat CL
3 Chat Sindhu
   
4 Chat AE re:HH4b Boosted
  Chat AE re:HH4b Boosted

W: 6 DW: 2 OT: 1 ex

The One Thing:

Up at 7… Meds

M & T to school

Summer 2025

org-mode tips

Chat with Wesley Terrill

  • See logs

More Boosted Synthetic Data

  • See above

Chat with Lei Zhao

More Boosted Synthetic

Hoops

  • 3s and 4s … but only half court …

Chat Chuyuan Liu

  • See above

Chat AE

  • Looking into ZZ and ZH
  • May have to revert to previous SvB

Looking into Boosted HH4b

Mail re:scaling Boosted sensitivity

Hi Guys,

Alejandro and I have been thinking about Vivek's concern about the scaling of the sensitivities between Run2 and Run3. If I understand correctly, one thing that makes the comparison harder for the boosted analysis is that there is a significant statistical uncertainty in the central value of the 95% CL. In both the resolved and boosted analyses there are large statistical uncertainties on the expected limit (the Brazilian bands) however in the resolved case, these are almost entirely due to the expected statistical uncertainty on the 4b SR data; the statistical uncertainty on the background is negligible. In this case, it makes sense to directly compare the values of the central values, ignoring the large Brazilian-band uncertainties.

However in the boosted case, I guess you have a significant statistical uncertainty on the expected background coming from the TF fit in category 1. This would lead to a significant statistical uncertainty in the central value of the 95% CL. Here, when you compare expected limits between the two analyses, I think you want to take this uncertainty into account. Im not sure if there is an easy way to get the size of this uncertainty directly from combine. (One way to hack it would be to do you blinded-asimov fit, but set the statistical uncertainties on the asimov data to be very small).

Once you have this uncertainty, you can then answer Vivek directly by checking if the scaling seen in the boosted expected limit is statistically-significantly different from that seen in the resolved.

Does this make sense?

Some Reading