Vergangene Termine
- 2023-11-30T09:00:00+01:00
- 2023-11-30T10:30:00+01:00
- NEW 15, 3'101
30.11.2023 - Michael Arlandoo (HZB): Transverse Resonance Island Buckets in Advanced Light Sources
Zeit: 09:00
NEW 15, 3'101
- 2023-11-23T09:00:00+01:00
- 2023-11-23T10:30:00+01:00
- Erwin Schrödinger-Zentrum, Rudower Chaussee 26, 12489 Berlin, Vortragsraum 0'101
23.11.2023 - Prof. Markus Klute (KIT) - Physics Potential at Future Circular Colliders
Zeit: 09:00
Erwin Schrödinger-Zentrum, Rudower Chaussee 26, 12489 Berlin, Vortragsraum 0'101
- 2023-11-16T09:00:00+01:00
- 2023-11-16T10:30:00+01:00
- DESY, Villa | SR5, Platanenallee 6, 15738 Zeuthen
16.11.2023 - Dr. Lydia Beresford (DESY): Measuring tau g-2 using Pb+Pb collisions
Zeit: 09:00
DESY, Villa | SR5, Platanenallee 6, 15738 Zeuthen
- 2023-11-09T09:00:00+01:00
- 2023-11-09T10:30:00+01:00
- NEW 15, 3'101
- 2023-11-02T09:00:00+01:00
- 2023-11-02T10:30:00+01:00
- NEW 15, 3'101
- 2023-10-26T09:00:00+02:00
- 2023-10-26T10:30:00+02:00
- NEW 15, 3'101
- 2023-10-19T09:00:00+02:00
- 2023-10-19T10:30:00+02:00
- NEW 15, 3'101
- 2023-07-21T16:00:00+02:00
- 2023-07-21T17:00:00+02:00
- NEW 15, 1'202
21.07.2023 - Marawan Barakat (DESY): Automation of the flavour tagging calibration software in the ATLAS experiment
Zeit: 16:00
NEW 15, 1'202
Abstract : Particle cascades originating from quarks and gluons decays (jets) are omnipresent in proton-proton collisions at the LHC. The identification of jet flavours is essential for many physics searches at the ATLAS experiment. This is achieved using machine learning algorithms (taggers) which combine tracks and jets information to determine the flavour of the jets ($b$-jets, $c$-jets and light jets). These taggers are trained with simulated Monte Carlo events and, due to simulations imperfections, their performance need to be measured in data in order to extract correction factors for the simulation predictions. ATLAS developed a set of calibration techniques for different jets flavours to correct, then the correction factors need to be re-derived every time a new tagger is deployed. Automating the calibration workflow significantly accelerates the calibration cycle and makes it less prone to manual mistakes. We present the first automated calibration framework in ATLAS using REANA platform. The results are compared with the official results using 36.2 $\mathrm{fb}^{-1}$ of 13 TeV collisions data from ATLAS, and a new set of calibration results with a customised setup is also included. The same method can be applied in other contexts to reduce the amount of time and resources needed to achieve the scientific goals.
- 2023-07-14T16:00:00+02:00
- 2023-07-14T17:00:00+02:00
- NEW 15, 1'202
- 2023-07-07T16:00:00+02:00
- 2023-07-07T17:00:00+02:00
- LCP, NEW 14, 1’02
07.07.2023 - Prof. Dr. Heiko Lacker (HU Berlin): Status of the SHiP-Experiment
Zeit: 16:00
LCP, NEW 14, 1’02