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Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 days ago

Hypothetical supersymmetry particles linked to Higgs bosons (called Higgsinos) would create signatures in CMS where you have very low-momentum tracks plus unmeasurable particles like dark matter candidates. This #CMSPaper looks for that low-momentum+missing energy signature (with some mild machine learning). There is a non-significant deviation in this analysis, so we will look at it again with more data for sure! https://arxiv.org/abs/2511.16394

Machine learning distribution, where signal would show up at high values... there is some disagreement there, but that's only 2.2 standard deviations (before correcting for things like the number of bins we consider)
Machine learning distribution, where signal would show up at high values... there is some disagreement there, but that's only 2.2 standard deviations (before correcting for things like the number of bins we consider)
Machine learning distribution, where signal would show up at high values... there is some disagreement there, but that's only 2.2 standard deviations (before correcting for things like the number of bins we consider)
arXiv.org

Search for Higgsinos in final states with low-momentum lepton-track pairs at 13 TeV

We present a search for the pair production of Higgsinos in final states with large missing transverse momentum and either two reconstructed muons or a reconstructed lepton (muon or electron) and an isolated track. The analyzed data correspond to proton-proton collisions with an integrated luminosity of 137 fb$^{-1}$, collected by the CMS experiment at $\sqrt{s}$ = 13 TeV in 2016, 2017, and 2018. The signal scenario assumes two neutralino states, $\widetildeχ^0_2$ and $\widetildeχ^0_1$, with a small mass difference in the range 1$-$10 GeV and a chargino $\widetildeχ^\pm_1$ with an intermediate mass. The analysis focuses on the decay of the heavier neutralino into the lighter one and a virtual Z boson, which decays into two same-flavor leptons. The leptons have small transverse momentum and/or a small opening angle between the identified muons. An isolated track is used to recover events in which only one of the two leptons is identified. Multivariate discriminants are used to enhance the sensitivity by efficiently rejecting backgrounds from SM processes or misreconstructed tracks and/or leptons. The search explores a unique phase space and probes a previously unexplored region of the signal model parameter space. Mass differences between the two neutralinos are probed down to 1.5 GeV, assuming a Higgsino mass of 100 GeV. The maximum excluded Higgsino mass is 115 GeV.
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Christian Meesters
Christian Meesters
@rupdecat@fediscience.org  ·  activity timestamp 2 days ago

@freyablekman may I ask a practice question? How is the meta analysis with more data performed when the primary analysis has been conducted on various distributed compute environments in the first place?

I am asking, because we (some people from the #Snakemake community) recently had an online workshop with representatives of CERN. But I do not recall the meta analysis challenge being brought up. (But I might be mistaken.) And the Snakemake Hackathon is upcoming, where we want to invest some time into CERN matters.

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Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 days ago

@rupdecat as the tools are rapidly improving we tend to completely re-do the analysis on old data if there is some statistical gain. Otherwise the combination is done at statistical level (so combining the sensitive distributions of different years.). CMS has a dedicated statistical tool to make such non correlated distributions with correlated systematic uncertainties easier. Not creatively it’s called “combine” https://link.springer.com/article/10.1007/s41781-024-00121-4

SpringerLink

The CMS Statistical Analysis and Combination Tool: Combine - EPJ Research Infrastructures

This paper describes the Combine software package used for statistical analyses by the CMS Collaboration. The package, originally designed to perform searches for a Higgs boson and the combined analysis of those searches, has evolved to become the statistical analysis tool presently used in the majority of measurements and searches performed by the CMS Collaboration. It is not specific to the CMS experiment, and this paper is intended to serve as a reference for users outside of the CMS Collaboration, providing an outline of the most salient features and capabilities. Readers are provided with the possibility to run Combine and reproduce examples provided in this paper using a publicly available container image. Since the package is constantly evolving to meet the demands of ever-increasing data sets and analysis sophistication, this paper cannot cover all details of Combine. However, the online documentation referenced within this paper provides an up-to-date and complete user guide.
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Christian Meesters
Christian Meesters
@rupdecat@fediscience.org  ·  activity timestamp 2 days ago

@freyablekman thank you so much for this input! I will try to digest it later this week. 😊

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Christian Meesters
Christian Meesters
@rupdecat@fediscience.org  ·  activity timestamp 2 days ago

@freyablekman PS I forgot to place a link to the meeting, I mentioned: https://indico.cern.ch/event/1643846/ . It took place online.

Indico

6th Open Science Practitioners Forum: Analysis Workflows

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