F. T.-. Acosta’s research while affiliated with Lawrence Berkeley National Laboratory and other places

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Publications (48)


Corrigendum: Search for a common baryon source in high-multiplicity pp collisions at the LHC (Phys. Lett. B 811 (2020) 135849)
  • Article

February 2025

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63 Reads

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2 Citations

Physics Letters B

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D. Adamova

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A. Adler

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[...]

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N. Zurlo

Figure 1. Examples of LPPL Function (26) Fits for Cases with Positive Trends (a) and with Negative Trends (b) For Selected Current Times (Dates in Proleptic Gregorian Ordinal Units). Fit Parameters Calculated for Both Trend Categories: (a) Positive Trend: Current Date: t c = 28 August 2020, Length of the Time Series: l max = 79, mse = 2.6 × 10 −5 ; (b) Negative Trend: Current Date: t c = 23 September 2020, Length of the Time Series: l max = 55, mse = 5.7 × 10 −5 . Note. LPPL = log-periodic power law; mse = mean squared error.
Figure 2. Calculated IB Points for the Analyzed Input Time Series (Marked in the Figure by a Solid Line with Measurement Points). The Vertical Lines of Different Colors Indicate the Diagnosed by the Algorithm IB Points. For Each Group of the IB Points, the Mean Value of the Matching Error (mse) of the LPPL Function (26) is Annotated. The Black Vertical Lines Indicate the Dates of Compressor Repairs, which Typically Took Place a Few to Several Weeks After the Algorithm Detected the Fault (IB Points). The Correlation with the Diagnosed Breakpoints is Clearly Visible, Except for the Prediction Determined with the Largest Error (mse = 0.000249) for 14 December 2020. Note. IB = Initial Breakdown; LPPL = Log-periodic Power Law; mse = Mean Squared Error.
Figure 3. Redrawn Prediction of Failures by the Algorithm in Comparison with Reparation Times and Problems Detected by Experts. The Figure Shows Representations of Groups of Discovered IB Points (Colored and Continuous Single Vertical Lines) and Predicted Failure Time Periods Corresponding to Them According to Definition 2 (Corresponding Colored Areas Bounded by Vertical Dashed Lines). The Categorization of the Criticality of the Forecasted Problems (Definition 1) is Represented by the Splitting into Three Separate Figures, Each for a Separate Criticality Category. The Monitoring Event Class Remains Without any Marked Vertical Lines. The Algorithm Found No Prediction for This Category. The Reparation (Maintenance) Dates are Indicated in Figures by Black Vertical Lines. Time Periods of Abnormal Compressor Behavior Requiring Monitoring and Not Qualified for Repair by Experts are Indicated by the Gray Color Without Additional Delimiting Lines. The Intersection of the Areas Determined by the Algorithm as a Period of Failure Occurrence with Periods of Abnormal Behavior of the Compressor Can be Seen for Periods Starting From 15 July 2021 in the Critical Event Category. The Raw Data of the Input Time Series t inp are Indicated by the Solid Blue Line with the Measurement Points (•). Note. IB = Initial Breakdown.
Figure 4. The Same Graphs as in Figure 3 with Added Annotations Describing the Failures Predicted by the Algorithm-Colored Texts (Different from Gray and Black), Reasons for Compressor Reparations-Black Text and Diagnosed Abnormal Compressor Behavior Requiring Monitoring-Gray Text. For Better Visualization, Areas of the Diagnosed Abnormal Behavior of the Compressor that Require Monitoring are Displayed in the "Monitored Event" Category.
Figure 5. Comparison of the Results of the Presented Method (LPPL Method-Top Figure) with the Statistical Method (Changepoint_Online-Middle and Bottom Figures) at the Level of Determining IB Points and Trend Change Points. The Analyzed Time Series t inp is Shown by the Solid Blue Line with the Measurement Points (•). The Black Vertical Lines Indicate the Compressor Repair Dates. Time Periods When Abnormal Compressor Behavior Requiring Monitoring was Not Qualified for Repair by Experts are Indicated by the Gray Color Without Additional Delimiting Lines. Top Figure: For the LPPL Method, the Vertical Lines in Different Colors Indicate the IB Points Diagnosed by the Algorithm for the LPPL Method (as in Figure 2). Middle and Bottom Figure: The Found Points of Upward (Middle Figure) and Downward Trend Change (Bottom Figure). Calculations of Trend Change Points are Shown for the Threshold Value of the 75th Percentile. Note. IB = Initial Breakdown; LPPL = Log-periodic Power Law.
Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
  • Preprint
  • File available

December 2024

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39 Reads

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1 Citation

In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse momentum of the lepton-jet system, P\lvert \vec{P}_\perp \rvert , is much larger than the total transverse momentum of the system, q\lvert \vec{q}_\perp \rvert, the asymmetry between parallel and antiparallel configurations, P\vec{P}_\perp and q\vec{q}_\perp, is expected to be generated by initial and final state soft gluon radiation and can be predicted using perturbation theory. Quantifying the angular properties of the asymmetry therefore provides an additional test of the strong force. Studying the asymmetry is important for future measurements of intrinsic asymmetries generated by the proton's constituents through Transverse Momentum Dependent (TMD) Parton Distribution Functions (PDFs), where this asymmetry constitutes a dominant background. Moments of the azimuthal asymmetries are measured using a machine learning method for unfolding that does not require binning.

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Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA

August 2024

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66 Reads

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13 Citations

The European Physical Journal C

The H1 Collaboration reports the first measurement of the 1-jettiness event shape observable τ1b\tau _1^b τ 1 b in neutral-current deep-inelastic electron-proton scattering (DIS). The observable τ1b\tau _1^b τ 1 b is equivalent to a thrust observable defined in the Breit frame. The data sample was collected at the HERA ep collider in the years 2003–2007 with center-of-mass energy of s=319GeV\sqrt{s}=319\,\textrm{GeV} s = 319 GeV , corresponding to an integrated luminosity of 351.1 pb1\textrm{pb}^{-1} pb - 1 . Triple differential cross sections are provided as a function of τ1b\tau _1^b τ 1 b , event virtuality Q2Q^{2} Q 2 , and inelasticity y , in the kinematic region Q2>150GeV2Q^{2} >150\,\textrm{GeV}^2 Q 2 > 150 GeV 2 . Single differential cross sections are provided as a function of τ1b\tau _1^b τ 1 b in a limited kinematic range. Double differential cross sections are measured, in contrast, integrated over τ1b\tau _1^b τ 1 b and represent the inclusive neutral-current DIS cross section measured as a function of Q2Q^{2} Q 2 and y . The data are compared to a variety of predictions and include long-standing and more recent Monte Carlo event generators, predictions in fixed-order perturbative QCD where calculations up to O(αs3)\mathcal {O}(\alpha _\textrm{s} ^3) O ( α s 3 ) are available for τ1b\tau _1^b τ 1 b or inclusive DIS, and resummed predictions at next-to-leading logarithmic accuracy matched to fixed order predictions at O(αs2)\mathcal {O}(\alpha _\textrm{s} ^2) O ( α s 2 ) . These comparisons reveal sensitivity of the 1-jettiness observable to QCD parton shower and resummation effects, as well as the modeling of hadronization and fragmentation. Within their range of validity, the fixed-order predictions provide a good description of the data. Monte Carlo event generators are predictive over the full measured range and hence their underlying models and parameters can be constrained by comparing to the presented data.


Fig. 1 Illustration of the Breit frame. Top: Parton configuration before and after the absorption of the virtual photon. Bottom: Possible quark and gluon configurations at O(α s ) after the interaction with the virtual photon in the Breit frame
Fig. 2 Display of an event with Q 2 = 295 GeV 2 , y = 0.18, and x Bj = 0.015 in the H1 detector in the radial view and in the longitudinal side view. The colored areas indicate different subdetector components, the red boxes indicate the energies of calorimeter clusters, and the straight lines show reconstructed particle candidates
Fig. 5 Ratios of differential cross sections of events with an empty current hemisphere in the Breit frame as a function of x Bj , y and Q 2 . The vertical bars represent the statistical uncertainties, and the shaded area the total systematic uncertainties including model uncertainties.
Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame

July 2024

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49 Reads

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7 Citations

The European Physical Journal C

The Breit frame provides a natural frame to analyze lepton–proton scattering events. In this reference frame, the parton model hard interactions between a quark and an exchanged boson defines the coordinate system such that the struck quark is back-scattered along the virtual photon momentum direction. In Quantum Chromodynamics (QCD), higher order perturbative or non-perturbative effects can change this picture drastically. As Bjorken- x decreases below one half, a rather peculiar event signature is predicted with increasing probability, where no radiation is present in one of the two Breit-frame hemispheres and all emissions are to be found in the other hemisphere. At higher orders in αs\alpha _{s} α s or in the presence of soft QCD effects, predictions of the rate of these events are far from trivial, and that motivates measurements with real data. We report on the first observation of the empty current hemisphere events in electron–proton collisions at the HERA collider using data recorded with the H1 detector at a center-of-mass energy of 319 GeV. The fraction of inclusive neutral-current DIS events with an empty hemisphere is found to be 0.0112±3.9%stat±4.5%syst±1.6%mod0.0112 \pm 3.9\%_\text {stat} \pm 4.5\%_{\text {syst}} \pm 1.6\%_{\text {mod}} 0.0112 ± 3.9 % stat ± 4.5 % syst ± 1.6 % mod in the selected kinematic region of 150<Q2<1500GeV2150<Q^{2} <1500\, \textrm{GeV}^2 150 < Q 2 < 1500 GeV 2 and inelasticity 0.14<y<0.70.14<y<0.7 0.14 < y < 0.7 . The data sample corresponds to an integrated luminosity of 351.1 pb 1{}^{-1} - 1 , sufficient to enable differential cross section measurements of these events. The results show an enhanced discriminating power at lower Bjorken- x among different Monte Carlo event generator predictions.


Fig. 2 Differential cross section of groomed invariant mass GIM = ln(M 2 Gr. /150 GeV 2 ) in ep DIS at √ s = 319 GeV, for z cut = 0.05, 0.1 and, 0.2. The value of Q 2 min. is set to 150 GeV 2 . The phase space is restricted to Q 2 > 150 GeV 2 and 0.2 < y < 0.7. Uncertainty bars on
Fig. 6 Double-differential groomed invariant mass distributions for z cut = 0.05, 0.1, and 0.2, for five bins in Q 2 . The value of Q 2 min. is taken to be the lowest value of Q 2 in the bin, e.g. 1122 GeV 2 for the highest Q 2 bin. Uncertainty bars on the data show the quadrature sum of the statistical and systematic uncertainties. The data points are horizontally offset from the bin center for visibility. The lines represent predictions from Sherpa 2 using the cluster hadronization model. The five distributions at different values of Q 2 are vertically offset by the factor given in parentheses
Fig. 7 Double-differential τ b 1Gr. cross section for z cut = 0.05, 0.1, and 0.2, presented in five bins in Q 2 . Further details are given in the caption of Fig. 6
Groomed τ b 1Gr. cross section for three values of z cut and 200 < Q 2 < 282 GeV 2
Groomed τ b 1Gr. cross section for three values of z cut and 447 < Q 2 < 1122 GeV 2 τ b 1Gr. Range z cut = 0.05 z cut = 0.1 z cut = 0.2
Measurement of groomed event shape observables in deep-inelastic electron-proton scattering at HERA

July 2024

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59 Reads

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5 Citations

The European Physical Journal C

The H1 Collaboration at HERA reports the first measurement of groomed event shape observables in deep inelastic electron-proton scattering (DIS) at s=319 \sqrt{s} =319~ s = 319 GeV, using data recorded between the years 2003 and 2007 with an integrated luminosity of 351 pb1\textrm{pb}^{-1} pb - 1 . Event shapes provide incisive probes of perturbative and non-perturbative QCD. Grooming techniques have been used for jet measurements in hadronic collisions; this paper presents the first application of grooming to DIS data. The analysis is carried out in the Breit frame, utilizing the novel Centauro jet clustering algorithm that is designed for DIS event topologies. Events are required to have squared momentum-transfer Q2>150Q^2 > 150 Q 2 > 150 GeV 2^2 2 and inelasticity 0.2<y<0.7 0.2< y < 0.7 0.2 < y < 0.7 . We report measurements of the production cross section of groomed event 1-jettiness and groomed invariant mass for several choices of grooming parameter. Monte Carlo model calculations and analytic calculations based on Soft Collinear Effective Theory are compared to the measurements.


Artificial Intelligence for the Electron Ion Collider (AI4EIC)

February 2024

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395 Reads

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8 Citations

Computing and Software for Big Science

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.


Artificial Intelligence for the Electron Ion Collider (AI4EIC)

July 2023

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105 Reads

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.



Science Requirements and Detector Concepts for the Electron-Ion Collider

October 2022

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284 Reads

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1,055 Citations

Nuclear Physics A

This report describes the physics case, the resulting detector requirements, and the evolving detector concepts for the experimental program at the Electron-Ion Collider (EIC). The EIC will be a powerful new high-luminosity facility in the United States with the capability to collide high-energy electron beams with high-energy proton and ion beams, providing access to those regions in the nucleon and nuclei where their structure is dominated by gluons. Moreover, polarized beams in the EIC will give unprecedented access to the spatial and spin structure of the proton, neutron, and light ions. The studies leading to this document were commissioned and organized by the EIC User Group with the objective of advancing the state and detail of the physics program and developing detector concepts that meet the emerging requirements in preparation for the realization of the EIC. The effort aims to provide the basis for further development of concepts for experimental equipment best suited for the science needs, including the importance of two complementary detectors and interaction regions. This report consists of three volumes. Volume I is an executive summary of our findings and developed concepts. In Volume II we describe studies of a wide range of physics measurements and the emerging requirements on detector acceptance and performance. Volume III discusses general-purpose detector concepts and the underlying technologies to meet the physics requirements. These considerations will form the basis for a world-class experimental program that aims to increase our understanding of the fundamental structure of all visible matter.


Science Requirements and Detector Concepts for the Electron-Ion Collider: EIC Yellow Report

March 2021

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426 Reads

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19 Citations

This report describes the physics case, the resulting detector requirements, and the evolving detector concepts for the experimental program at the Electron-Ion Collider (EIC). The EIC will be a powerful new high-luminosity facility in the United States with the capability to collide high-energy electron beams with high-energy proton and ion beams, providing access to those regions in the nucleon and nuclei where their structure is dominated by gluons. Moreover, polarized beams in the EIC will give unprecedented access to the spatial and spin structure of the proton, neutron, and light ions. The studies leading to this document were commissioned and organized by the EIC User Group with the objective of advancing the state and detail of the physics program and developing detector concepts that meet the emerging requirements in preparation for the realization of the EIC. The effort aims to provide the basis for further development of concepts for experimental equipment best suited for the science needs, including the importance of two complementary detectors and interaction regions. This report consists of three volumes. Volume I is an executive summary of our findings and developed concepts. In Volume II we describe studies of a wide range of physics measurements and the emerging requirements on detector acceptance and performance. Volume III discusses general-purpose detector concepts and the underlying technologies to meet the physics requirements. These considerations will form the basis for a world-class experimental program that aims to increase our understanding of the fundamental structure of all visible matter


Citations (43)


... Events with multiple PVs (so-called pile-up events) that stem from multiple collisions in the same or nearby bunch crossings are removed using the procedure described in Refs. [23,24,28]. This rejection of pile-up events removes about 3% of the selected events. ...

Reference:

Investigating the p-$\pi^{\pm}$ and p-p-$\pi^{\pm}$ dynamics with femtoscopy in pp collisions at $\sqrt{s} = 13$ TeV
Corrigendum: Search for a common baryon source in high-multiplicity pp collisions at the LHC (Phys. Lett. B 811 (2020) 135849)
  • Citing Article
  • February 2025

Physics Letters B

... The fact that it is entirely determined by only measuring the "current" hemisphere (away from the proton-beam remnant direction) and does not require use of a jet algorithm, makes it experimentally attractive. For this reason the HERA H1 collaboration recently produced a measurement of the τ b 1 event shape [26] over a wide range of x, Q, to which we will compare our predictions near the end of this paper. ...

Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA

The European Physical Journal C

... There is an additional, less tangible but no less important, element to data preservation, which is the preservation of institutional knowledge. There have been recent efforts to re-analyze archived data from the LEP e + e − collider at CERN [51][52][53] , which terminated operation in 2000, and the HERA e+p Collider at DESY [54][55][56][57][58][59], which terminated operation in 2008. In addition, the currently-running CMS Collaboration at the LHC has released open data from early LHC runs, which has been analyzed by external groups [60,61]. ...

Measurement of groomed event shape observables in deep-inelastic electron-proton scattering at HERA

The European Physical Journal C

... Considering the complexity of each subsystem and the unpredictability of interactions among them, it is pretty challenging to avoid failures and operational errors [13]. Navigating the nonlinear functions of the components and dynamic machine settings in accelerator optimization is a significant challenge affecting particle beam design, operation, and control [14]. Particle accelerators are nonlinear systems, and further research is necessary due to their complexity [15]. ...

Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Computing and Software for Big Science

... Recent innovations from machine learning have enabled unbinned unfolding [11][12][13]. These methods are based on discriminative [14][15][16] or generative methods [17][18][19][20][21][22][23][24][25][26][27][28] and there are now also experimental results with some of these approaches [29][30][31][32][33][34][35][36][37][38]. One can bin the unbinned results and use Eq. ...

Unbinned Deep Learning Jet Substructure Measurement in High Q2 ep collisions at HERA
  • Citing Article
  • July 2023

Physics Letters B

... example, in accessing the EMFFs of the pion data, the Sullivan process [7] has provided a significantly larger value of transferred momentum Q 2 coverage [8]. Analogous to the EMFFs of the pion, the previous authors also argued that extracting the kaon and pion PDFs is more feasible in the Sullivan process [9]. Such a process is rather different from the ordinary reaction process used to extract the pion PDF, which was mostly obtained from the pion-induced Drell-Yan and J/ψ production processes. ...

Science Requirements and Detector Concepts for the Electron-Ion Collider

Nuclear Physics A

... This ultimately gives us the possibility to achieve an experimentally driven tomography of hadrons. In fact, this has been one of the main motivations for investing in current experimental programmes, such as the Jefferson Laboratory upgrade to 12 GeV, and in future facilities like the electron-ion colliders in the United States (EIC) [13,14] and in China (EicC) [15]. ...

Science Requirements and Detector Concepts for the Electron-Ion Collider: EIC Yellow Report

... As for the hadro-chemical aspects, the measurement of various HF hadrons provides a unique opportunity to study how a universal distribution of heavy quarks after their diffusion through partonic matter converts into different hadrons, at all T . Also in this aspect, the hadronic phase can be expected to be relevant; for example, the * / ratio may well subject to change when quasielastic + → * interactions remain active in the hadronic evolution of the fireball (as has been observed, e.g., for the 0 / ratio [130,131,132]). And while the Λ ∕ ratio is commonly believed to be an excellent probe of recombination processes during hadronization [19,133], it may also be sensitive to differences in the diffusion properties of these two hadrons in the hadronic phase. ...

Production of the ρ ( 770 ) 0 meson in p p and Pb-Pb collisions at s N N = 2.76 TeV

Physical Review C

... Groups work on angular correlations of identified hadrons for studying hadronization process, studies of system size via Bose-Einstein and Fermi-Dirac correlations, photon emission during QGP formation, forward physics, UPC and multiplicity correlations and fluctuations to study initial state of QGP [102][103][104][105][106][107][108]. They maintain ALICE FIT detector [109] (Project Leader from IFJ) and oversee the core analysis framework, the Event Display and various technical operations [110][111][112]. ...

Calibration of the photon spectrometer PHOS of the ALICE experiment

Journal of Instrumentation