Measurement of the prompt component of the atmospheric muon flux

Contact:

• pascal.gutjahr@tu-dortmund.de

• ludwig.neste@tu-dortmund.de

• mirco.huennefeld@tu-dortmund.de

Reviewers:

• Cosmic Ray Working Group: dennis.soldin@utah.edu

• Technical: karolin.hymon@icecube.wisc.edu

Previous analyses

• Tomasz Fuchs: https://wiki.icecube.wisc.edu/index.php/Analysis_of_Leading_Muons

• Patrick Berghaus: https://arxiv.org/pdf/1506.07981.pdf

• Hans-Peter Bretz: https://www-zeuthen.desy.de/~hpbretz/he_muon_analysis_wiki/html/index.html

Useful links:

• DNN reconstructions: https://github.com/icecube/dnn_reco

• Labels and analysis: https://github.com/icecube/dnn_selections

• Processing software: https://github.com/mhuen/ic3-processing

• CORSIKA standalone python package: https://github.com/the-ludwig/panama

List of presented talks:

2024:

• 18 March: Spring Collaboration Meeting Münster Details on the high-energy atmospheric muon sample

• 18 March: Spring Collaboration Meeting Münster Measuring the prompt component of the atmospheric muon flux

• 1 March: CR WG Selection and reconstruction

2023:

• 21 October: Fall Collaboration Meeting Grand Rapids Measurement of the prompt component of the atmospheric muon flux

• 21 October: Fall Collaboration Meeting Grand Rapids Prompt Muons: CORSIKA’s EHISTORY and MCEq

• 29 September: CR WG Update on prompt analysis

• 15 March: Spring Collaboration Meeting Aachen New CORSIKA EHIST simulations

• 15 March: Spring Collaboration Meeting Aachen Ideas to measure the prompt component

• 27 January: CR WG Simulation overview

2022:

• 21 October: CR WG First ideas

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• Overview
  • Atmospheric muon flux
  • Previous analyses
  • New analysis
• New CORSIKA extended history simulations
  • Official CORSIKA Ehist IceProd simulation
• Definition of the prompt component
• CNN reconstructions
  • CNN approach
    • Physics motivation
  • CNN structure and input data
    • CNN structure
    • Input data
    • Input pulses
    • Training data
  • Reconstructed properties
    • Energy
    • Track geometry
    • Direction
  • Network evaluation
    • Bundle energy at surface
    • Bundle energy at entry
    • Leading muon energy at surface
    • Leading muon energy at entry
    • Track geometry
    • Direction
    • SplineMPE vs. DNN
• Selection
  • Level 3
    • Filters
    • Bundle energy pre cut
  • Level 4
  • Level 5
• Data-MC
  • Energy
    • Bundle energy at entry
    • Leading muon energy at entry
    • Bundle energy at surface
    • Leading muon energy at surface
    • Energy uncertainty
    • Bundle energy at entry - uncertainty
    • Leading muon energy at entry - uncertainty
    • Bundle energy at surface - uncertainty
    • Leading muon energy at surface - uncertainty
  • Zenith
    • Cosine zenith
    • Zenith - uncertainty
    • Cosine zenith - uncertainty
  • Azimuth
    • Azimuth - uncertainty
  • Center position
    • Time
    • Time - uncertainty
    • Position x
    • Position x - uncertainty
    • Position y
    • Position y - uncertainty
    • Position z
    • Position z - uncertainty
  • Entry position
    • Time
    • Time - uncertainty
    • Position x
    • Position x - uncertainty
    • Position y
    • Position y - uncertainty
    • Position z
    • Position z - uncertainty
  • Propagation length
    • Total propagation length
    • Length in detector
  • Systematics
    • Bundle energy at entry
    • Center position z
• Analysis - Forward Fit
  • Dataset exploration
    • Leadingness
    • Leading vs. bundle energy
  • Pseudo analysis
  • NNMFit
• Analysis - Unfolding
  • The Concept of Unfolding
  • Maximum Likelihood Estimation
  • funfolding
    • MCMC Sampling
    • Parameter Optimization
    • Systematic Uncertainties
  • Unfolding
    • Proxy Variable
    • Unfold Event Rate - one proxy
    • Unfold Event Rate - multiple proxies / tree binning
    • Unfold Muon Flux - one proxy
• Q & A
  • March 18, 2024
  • March 1, 2024
  • October 21, 2023
  • September 29, 2023
• Next Steps
  • Simulation
  • Forward fit
  • Unfolding
  • Misc
• Appendix
  • First extended history simulations
    • Dataset exploration - Level 2
    • Estimation of the simulated statistics
  • General Simulation Questions
  • Stochasticity
    • Monte Carlo studies
    • Impact on the energy reconstruction
  • Bundle radius
    • Monte Carlo studies
    • Impact on the energy reconstruction
  • Network evaluation
    • Bundle energy at surface
    • Bundle energy at entry
    • Leading muon energy at surface
    • Leading muon energy at entry
    • Track geometry
    • Direction
    • Multiplicity
  • Networks used for pseudo analysis
    • Angular reconstructions
    • Energy reconstructions: muon bundle
    • Energy reconstruction: leading muon