Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning

Name: Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning
Start: 2023-03-26T17:00:00-06:00
End: 2023-03-31T12:15:00-06:00
Location: Aspen Center for Physics

26–31 Mar 2023

Aspen Center for Physics

US/Mountain timezone

Contribution List

79. Opening Remarks

27/03/2023, 08:00

Muon g-2

0. Muon g-2 experiment

Chris Polly (Urbana), Chris Polly (Fermilab)

27/03/2023, 08:10

Muon g-2

1. What kind of New Physics for a muon (g-2) anomaly?

Julie Pagès (UZH)

27/03/2023, 08:35

Muon g-2

2. muon g-2 lattice

Ethan Neil, Ethan Neil (University of Colorado, Boulder)

27/03/2023, 09:00

Muon g-2

3. BSM in the Neutrino Sector

Pedro Machado (Fermilab)

27/03/2023, 09:45

Neutrinos

5. Machine Learning for Neutrinos

Kazuhiro Terao (SLAC National Accelerator Laboratory), Kazuhiro Terao

27/03/2023, 10:10

Neutrinos

61. Neutrinos at the LHC

Tao Han (University of Wisconsin), Tao Han (University of Pittsburgh)

27/03/2023, 10:35

Neutrinos

4. Signatures for New Physics in Short-Baseline Liquid Argon Neutrino Experiments

Ornella Palamara (Fermilab), Ornella Palamara (Fermilab)

27/03/2023, 16:30

Neutrinos

6. Naturalness In Your Face

Seth Koren (University of Chicago)

27/03/2023, 16:55

LHC 1

7. BSM searches at CMS

Nadja Strobbe (University of Minnesota)

27/03/2023, 17:20

LHC 1

9. Dark Matter Misalignment Through the Higgs Portal

Brian Batell (CERN), Brian Batell (Perimeter Institute), Brian Batell (University of Pittsburgh)

27/03/2023, 18:15

Dark Sectors 1

10. FASER and the FPF

Jonathan Feng (UC Irvine)

27/03/2023, 18:40

Dark Sectors 1

73. Spacetime fluctuations in quantum gravity and the experiment GQuEST

Kathryn Zurek (Berkeley Lab)

27/03/2023, 19:05

Dark Sectors 1

39. Dark Sector Theory

Maxim Pospelov (University of Minnesota)

28/03/2023, 08:00

Dark Sectors 2

19. Darkquest

Yongbin Feng (Fermilab)

28/03/2023, 08:25

Dark Sectors 2

54. LDMX

Cristina Ana Mantilla Suarez (FNAL)

28/03/2023, 08:50

Dark Sectors 2

15. Uncertainties in the era of ML

Aishik Ghosh

28/03/2023, 09:45

Machine Learning 1

16. Machine Learning for Event Generation and Fast Simulation

Claudius Krause (ITP Heidelberg)

28/03/2023, 10:10

Machine Learning 1

LHC run 3 has just started and in the years leading up to 2040, we will see a 20-fold increase in available data. This forthcoming dataset will have enormous potential for a deeper understanding of the Standard Model and possible physics beyond it. At the same time, the endless possibilities of new physics hiding in this dataset pose a challenge, both for our analyses and also our simulation...

17. Anomaly Detection

Vinicius Massami Mikuni (Universitaet Zuerich (CH))

28/03/2023, 10:35

Machine Learning 1

62. Machine Learning for Triggering

Javier Duarte (University of California San Diego)

28/03/2023, 11:00

Machine Learning 1

63. ALP theory

Jeff Dror (UC Santa Cruz)

28/03/2023, 16:30

Axion Like Particles

64. Hybrid Cosmological Collider of Axion

Lingfeng Li (Brown U.)

28/03/2023, 16:55

Axion Like Particles

If a light axion is present during inflation and becomes part of dark matter afterwards, its quantum fluctuations contribute to dark matter isocurvature. In this article, we introduce a whole new suite of cosmological observables for axion isocurvature, which could help test the presence of axions, as well as its coupling to the inflaton and other heavy spectator fields during inflation such...

65. ADMX

Nick Du (Lawrence Livermore National Labs), Nick Du (University of Washington)

28/03/2023, 17:20

Axion Like Particles

66. Heavy Flavors at LHCb

Rafael Silva Coutinho (Syracuse University)

28/03/2023, 18:15

Heavy Flavor Physics 1

67. Heavy Flavors at ATLAS and CMS

Peter Onyisi (University of Texas at Austin)

28/03/2023, 18:40

Heavy Flavor Physics 1

68. Heavy Flavors Theory

Darius Faroughy (Rutgers University)

28/03/2023, 19:05

Heavy Flavor Physics 1

36. Five predictions for the next five years

Peter Sorensen (LBL)

29/03/2023, 08:00

Dark Matter Direct Detection

37. Sensors for DM Detection at the meV Scale

Noah Kurinsky

29/03/2023, 08:25

Dark Matter Direct Detection

38. Seeing the invisible: the search for low-mass axion dark matter

Chiara Salemi (MIT), Chiara Salemi (UNC Chapel Hill)

29/03/2023, 08:50

Dark Matter Direct Detection

28. Indirect Detection

Rebecca Leane (SLAC)

29/03/2023, 09:45

Dark Matter Indirect Detection

27. Astrophysical searches for particle dark matter using neural simulation-based inference

Siddharth Mishra Sharma (New York University)

29/03/2023, 10:10

Dark Matter Indirect Detection

The complexity of astrophysical data and presence of unknowable systematics poses significant challenges to robustly characterizing signatures of dark matter in many datasets using conventional methods. I will describe how overcoming these challenges will require a qualitative shift in our approach to statistical inference, bringing together several recent advances in probabilistic machine...

29. Machine Learning for Particle Astrophysics

Matthew Buckley (Fermilab)

29/03/2023, 10:35

Dark Matter Indirect Detection

8. BSM searches at ATLAS

Cristiano Alpigiani (University of Washington, Seattle)

29/03/2023, 11:00

LHC 1

12. Public Lecture: Casting a Wide Net for Dark Matter

Tim Tait (UC Irvine)

29/03/2023, 17:30

Public Lecture

30. Kaon Theory

Jure Zupan (U. Cincinnati)

30/03/2023, 08:00

Kaons

31. NA62

Cristina Biino (CERN)

30/03/2023, 08:25

Kaons

32. KOTO

Yau Wah (University of Chicago)

30/03/2023, 08:50

Kaons

33. Higgs Theory

Carlos Wagner (Argonne National Laboratory), Carlos Wagner (University of Chicago and Argonne National Laboratory), Carlos Wagner (ANL and University of Chicago)

30/03/2023, 09:45

LHC 2 + Machine Learning 2

11. Higgs at ATLAS and CMS

Jacobo Konigsberg (University of Florida), jacobo konigsberg (univ of florida)

30/03/2023, 10:10

LHC 2 + Machine Learning 2

35. Machine Learning at CMS

Jennifer Ngadiuba (FNAL), Jennifer Ngadiuba (Caltech)

30/03/2023, 10:35

LHC 2 + Machine Learning 2

70. Machine Learning at ATLAS

Daniel Whiteson (UC Irvine)

30/03/2023, 11:00

LHC 2 + Machine Learning 2

24. Cosmological Considerations for Dark Sectors with Light Mediators

Julia (Jessie) Shelton (UIUC)

30/03/2023, 16:30

Cosmology

25. Particle physics models that predict dark matter in the form of primordial black holes

Alexander Kusenko (UCLA)

30/03/2023, 16:55

Cosmology

Primordial black hole is a dark matter candidate in a variety of existing models of physics beyond the standard model, including supersymmetry models and models with asymmetric dark matter. I will review the formation of black holes in such scenarios, as well as the effects of predicted PBHs on astrophysics and cosmology.

18. Dark Photons

Zhen Liu (University of Minnesota)

30/03/2023, 17:50

Dark Sectors 3

40. Dark Sectors at Belle II

Ezio Torassa

30/03/2023, 18:15

Dark Sectors 3

41. Dark Sectors at LHCb

Blaise Delaney (Cambridge)

30/03/2023, 18:40

Dark Sectors 3