Discussion
Loading...

#Tag

Log in
  • About
  • Code of conduct
  • Privacy
  • Users
  • Instances
  • About Bonfire
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 14 hours ago

This #CMSPaper explores the excitation of three particles with a B quark and other quark, examining how they store extra energy beyond the ground state. It marks the first simultaneous measurement of these particles. This improves knowledge of particles that contain quarks arxiv.org/abs/2508.05820

three peaks of a B meson plus a photon
three peaks of a B meson plus a photon
three peaks of a B meson plus a photon
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 16 hours ago

Want to know how to actually collect undiscovered long lived particles so we can maybe then discover them? Then check out this #cmspaper, with a large contribution from people in my team arxiv.org/abs/2601.17544

Plots showing how well CMS can identify electrons that don’t come from the center of the detector. (Those could come from undiscovered particles for example)
Plots showing how well CMS can identify electrons that don’t come from the center of the detector. (Those could come from undiscovered particles for example)
Plots showing how well CMS can identify electrons that don’t come from the center of the detector. (Those could come from undiscovered particles for example)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 7 days ago

Missing momentum is effectively the only way that the main detectors at the LHC (like CMS) can measure the indirect signs of neutrinos (or undiscovered particles). This #CMSPaper present how we use #machinelearning to make our missing momentum measurement much, much better: arxiv.org/abs/2509.12012

Plot showing how the Deepmet algorithm improves the missing energy reconstruction of the very well-known W boson particle. Compared to the previous best algorithms (it's really very good!)
Plot showing how the Deepmet algorithm improves the missing energy reconstruction of the very well-known W boson particle. Compared to the previous best algorithms (it's really very good!)
Plot showing how the Deepmet algorithm improves the missing energy reconstruction of the very well-known W boson particle. Compared to the previous best algorithms (it's really very good!)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp last week

This #CMSPaper examines the missing energy from neutrino pairs in top quark pair production. Accurate measurement of those neutrinos is crucial for simulating top quarks in the standard model and for setting constraints on invisible particle production with top quarks. arxiv.org/abs/2510.00160

distribution of the missing energy at low-ish values, for different angles between the (reconstructed, so after loads of math/machine learning) neutrinos. Back-to-back is difficult...
distribution of the missing energy at low-ish values, for different angles between the (reconstructed, so after loads of math/machine learning) neutrinos. Back-to-back is difficult...
distribution of the missing energy at low-ish values, for different angles between the (reconstructed, so after loads of math/machine learning) neutrinos. Back-to-back is difficult...
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp last week

This #CMSPaper investigates different #AI #machinelearning methods that aim to find jets that are inconsistent with the standard model. It shows that a new method called #Wasserstein normalized autoencodes works much better than other neural networks arxiv.org/abs/2510.02168

Sorry, no caption provided by author
Sorry, no caption provided by author
Sorry, no caption provided by author
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp last week

The LHC recently collided Oxygen and Neon ions. That is an important input to understanding how nuclear interactions change depending on the size of the colliding objects. This #CMSPaper observes "collective flow", essentially a sign of the quark gluon plasma, in those collisions buff.ly/NcLWdAj

showing how the flow changes versus how central the collision is (50% is heads on nuclei, 0% is skimming nuclei)
showing how the flow changes versus how central the collision is (50% is heads on nuclei, 0% is skimming nuclei)
showing how the flow changes versus how central the collision is (50% is heads on nuclei, 0% is skimming nuclei)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp last week

The production of top quark pairs together with a W boson is a great way to test the quality of standard model predictions. This #CMSPaper measures provides boundaries on things like the difference between ttW+/- production, a very sensitive quantity to test the predictions arxiv.org/abs/2509.13512

Sorry, no caption provided by author
Sorry, no caption provided by author
Sorry, no caption provided by author
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp last week

The production of the Higgs boson along with an undiscovered hypothetical particle is an important signature for detecting physics beyond the standard model. This #CMSPaper looks for the "Higgs boson+jet not consistent with the standard model" signature (we didn't see any): arxiv.org/abs/2509.13635

distribution of anomalous jets. None are seen.
distribution of anomalous jets. None are seen.
distribution of anomalous jets. None are seen.
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp last week

Are there undiscovered particles (that are very light for LHC standard) produced in Higgs boson decays? This #CMSPaper describes how we look for them, but did not see any arxiv.org/abs/2508.06947

invariant mass distribution that is nicely falling. The data agrees with the blue prediction (which is the standard model). The scenarios considered would modify these signatures dramatically (other coloured lines)
invariant mass distribution that is nicely falling. The data agrees with the blue prediction (which is the standard model). The scenarios considered would modify these signatures dramatically (other coloured lines)
invariant mass distribution that is nicely falling. The data agrees with the blue prediction (which is the standard model). The scenarios considered would modify these signatures dramatically (other coloured lines)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 weeks ago

If you need a reference model of what an extension of the standard model with many new particles would look like, Supersymmetry is a good benchmark. This #CMSPaper shows a general search in many standard signatures, looking for deviations spread over different signatures arxiv.org/abs/2508.13900

competitive limits on supersymmetric lepton partners (aka sleptons)
competitive limits on supersymmetric lepton partners (aka sleptons)
competitive limits on supersymmetric lepton partners (aka sleptons)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 weeks ago

Are there invisible (and long-lived) undiscovered particles produced in the decays of B mesons? Those would be super rare, so we use a huge dataset of B mesons with dedicated data taking techniques. We didn't see any new particles though, this #CMSPaper is a #nullresult arxiv.org/abs/2508.06363

limit plot, measuring that in the most sensitive scenarios that if such an undiscovered particle exists, it shows up in fewer than 1/10000 B mesons
limit plot, measuring that in the most sensitive scenarios that if such an undiscovered particle exists, it shows up in fewer than 1/10000 B mesons
limit plot, measuring that in the most sensitive scenarios that if such an undiscovered particle exists, it shows up in fewer than 1/10000 B mesons
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 weeks ago

The LHC produces a large number of Z bosons. So it is worthwhile checking if some of them behave inconsistently with the standard model. This #CMSPaper measured that the chance that Z bosons decay to two different kinds of leptons is smaller than one in 10 million arxiv.org/abs/2508.07512

searchign the e-mu invariant mass for a Z boson peak. No sign.
searchign the e-mu invariant mass for a Z boson peak. No sign.
searchign the e-mu invariant mass for a Z boson peak. No sign.
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 weeks ago

This #CMSPaper explores the excitation of three particles with a B quark and other quark, examining how they store extra energy beyond the ground state. It marks the first simultaneous measurement of these particles. This improves knowledge of particles that contain quarks arxiv.org/abs/2508.05820

three peaks of a B meson plus a photon
three peaks of a B meson plus a photon
three peaks of a B meson plus a photon
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 2 weeks ago

Want to know how to actually collect undiscovered long lived particles so we can maybe then discover them? Then check out this #cmspaper, with a large contribution from people in my team https://arxiv.org/abs/2601.17544

Plots showing how well CMS can identify electrons that don’t come from the center of the detector. (Those could come from undiscovered particles for example)
Plots showing how well CMS can identify electrons that don’t come from the center of the detector. (Those could come from undiscovered particles for example)
Plots showing how well CMS can identify electrons that don’t come from the center of the detector. (Those could come from undiscovered particles for example)
arXiv.org

Strategy and performance of the CMS long-lived particle trigger program in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV

In the physics program of the CMS experiment during the CERN LHC Run 3, which started in 2022, the long-lived particle triggers have been improved and extended to expand the scope of the corresponding searches. These dedicated triggers and their performance are described in this paper, using several theoretical benchmark models that extend the standard model of particle physics. The results are based on proton-proton collision data collected with the CMS detector during 2022$-$2024 at a center-of-mass energy of 13.6 TeV, corresponding to integrated luminosities of up to 123 fb$^{-1}$.
  • Copy link
  • Flag this post
  • Block
CMS Publications
CMS Publications
@cmspapers@mastodon.social  ·  activity timestamp 2 weeks ago

#CMSpaper: Strategy and performance of the CMS long-lived particle trigger program in proton-proton collisions at √s = 13.6 TeV (arXiv:2601.17544) https://arxiv.org/abs/2601.17544 #NewPhysics

Your browser does not support the video tag.
GIF
GIF
Open
GIF
arXiv.org

Strategy and performance of the CMS long-lived particle trigger program in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV

In the physics program of the CMS experiment during the CERN LHC Run 3, which started in 2022, the long-lived particle triggers have been improved and extended to expand the scope of the corresponding searches. These dedicated triggers and their performance are described in this paper, using several theoretical benchmark models that extend the standard model of particle physics. The results are based on proton-proton collision data collected with the CMS detector during 2022$-$2024 at a center-of-mass energy of 13.6 TeV, corresponding to integrated luminosities of up to 123 fb$^{-1}$.
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 3 weeks ago

Missing momentum is effectively the only way that the main detectors at the LHC (like CMS) can measure the indirect signs of neutrinos (or undiscovered particles). This #CMSPaper present how we use #machinelearning to make our missing momentum measurement much, much better: arxiv.org/abs/2509.12012

Plot showing how the Deepmet algorithm improves the missing energy reconstruction of the very well-known W boson particle. Compared to the previous best algorithms (it's really very good!)
Plot showing how the Deepmet algorithm improves the missing energy reconstruction of the very well-known W boson particle. Compared to the previous best algorithms (it's really very good!)
Plot showing how the Deepmet algorithm improves the missing energy reconstruction of the very well-known W boson particle. Compared to the previous best algorithms (it's really very good!)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 3 weeks ago

This #CMSPaper examines the missing energy from neutrino pairs in top quark pair production. Accurate measurement of those neutrinos is crucial for simulating top quarks in the standard model and for setting constraints on invisible particle production with top quarks. arxiv.org/abs/2510.00160

distribution of the missing energy at low-ish values, for different angles between the (reconstructed, so after loads of math/machine learning) neutrinos. Back-to-back is difficult...
distribution of the missing energy at low-ish values, for different angles between the (reconstructed, so after loads of math/machine learning) neutrinos. Back-to-back is difficult...
distribution of the missing energy at low-ish values, for different angles between the (reconstructed, so after loads of math/machine learning) neutrinos. Back-to-back is difficult...
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 3 weeks ago

This #CMSPaper investigates different #AI #machinelearning methods that aim to find jets that are inconsistent with the standard model. It shows that a new method called #Wasserstein normalized autoencodes works much better than other neural networks arxiv.org/abs/2510.02168

Sorry, no caption provided by author
Sorry, no caption provided by author
Sorry, no caption provided by author
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 3 weeks ago

The LHC recently collided Oxygen and Neon ions. That is an important input to understanding how nuclear interactions change depending on the size of the colliding objects. This #CMSPaper observes "collective flow", essentially a sign of the quark gluon plasma, in those collisions buff.ly/NcLWdAj

showing how the flow changes versus how central the collision is (50% is heads on nuclei, 0% is skimming nuclei)
showing how the flow changes versus how central the collision is (50% is heads on nuclei, 0% is skimming nuclei)
showing how the flow changes versus how central the collision is (50% is heads on nuclei, 0% is skimming nuclei)
  • Copy link
  • Flag this post
  • Block
Freya Blekman
Freya Blekman
@freyablekman@fediscience.org  ·  activity timestamp 3 weeks ago

The production of top quark pairs together with a W boson is a great way to test the quality of standard model predictions. This #CMSPaper measures provides boundaries on things like the difference between ttW+/- production, a very sensitive quantity to test the predictions arxiv.org/abs/2509.13512

Sorry, no caption provided by author
Sorry, no caption provided by author
Sorry, no caption provided by author
  • Copy link
  • Flag this post
  • Block

bonfire.cafe

A space for Bonfire maintainers and contributors to communicate

bonfire.cafe: About · Code of conduct · Privacy · Users · Instances
Bonfire social · 1.0.2-alpha.7 no JS en
Automatic federation enabled
Log in
  • Explore
  • About
  • Members
  • Code of Conduct