Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

IRF variation with run #20

Open
ralphbird opened this issue Jul 16, 2018 · 2 comments
Open

IRF variation with run #20

ralphbird opened this issue Jul 16, 2018 · 2 comments
Assignees
Milestone

Comments

@ralphbird
Copy link

To get the IRFS I have calculated the average noise, zenith and azimuth for the entire run and then used the VEGAS interpolation. One thing that I would like to check is that the run is not too long for doing this - it might be that we should be using 10 minute bins or ... (I know that Nathan used 8minute bins but he was at LZA so there will be a lot faster variation in the EA with the parameters). This could be done by either producing multiple files for each run or by doing some internal averaging and weighting.

@ralphbird ralphbird self-assigned this Jul 16, 2018
@ralphbird ralphbird added help wanted Extra attention is needed good first issue Good for newcomers labels Jul 16, 2018
@TarekHC
Copy link
Collaborator

TarekHC commented Dec 4, 2018

Already thinking a bit about this.

Is there any limitation to produce, for instance, N DL3 files per anasum/stage5?

  • Subdividing a run between shorter periods (given we have the zenith, azimuth, noise level, etc... per event) only means we need to generate more (smaller) DL3 files, with a finer interpolation of the IRFs (easy, same IRF file). Would need to improve a bit the current code to allow that, but perfectly doable
  • The calculation of a correct lifetime per sub-run could be a problem. Not sure how it is currently calculated in ED/VEGAS, but at least from what I remember in MAGIC, we probably want to do it before having only gamma-like events

If I reach the point where I really want to implement this, I will speak with Gernot/Elisa and bother you guys again. Until then, I will try to have a first example of full-enclosure IRFs (averaged over the whole run).

@ralphbird ralphbird removed their assignment May 27, 2021
@GernotMaier
Copy link
Member

@sona-patel and @tobiaskleiner : both of you did some studies on that. Do you want to post the results?

@tobiaskleiner tobiaskleiner self-assigned this Sep 13, 2021
@GernotMaier GernotMaier added this to the Version 0.2.0 milestone Jan 20, 2022
@GernotMaier GernotMaier removed help wanted Extra attention is needed good first issue Good for newcomers labels Jan 27, 2022
@GernotMaier GernotMaier removed this from the Version 0.2.0 milestone Feb 15, 2022
@GernotMaier GernotMaier added this to the Version 0.5.0 milestone Nov 13, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants