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Related papers: DISASTER++ (Version 1.0)

200 papers

Dust is a major component of the interstellar medium. Through scattering, absorption and thermal re-emission, it can profoundly alter astrophysical observations. Models for dust composition and distribution are necessary to better…

pynucastro is a python library that provides visualization and analyze techniques to classify, construct, and evaluate nuclear reaction rates and networks. It provides tools that allow users to determine the importance of each rate in the…

The Noble Element Simulation Technique (NEST) is an exhaustive collection of models explaining both the scintillation light and ionization yields of noble elements as a function of particle type (nuclear recoil, electron recoil, alphas),…

Instrumentation and Detectors · Physics 2015-06-16 Matthew Szydagis , Adalyn Fyhrie , Daniel Thorngren , Mani Tripathi

The deep inelastic scattering 2+1 jet cross- section is a useful observable for precision tests of QCD, e.g. measuring the strong coupling constant alpha(s). A consistent analysis requires a good understanding of the theoretical…

High Energy Physics - Phenomenology · Physics 2015-06-25 G. Ingelman , J. Rathmans

The heavy ion event generator HYDJET++ is presented. HYDJET++ simulates relativistic heavy ion AA collisions as a superposition of the soft, hydro-type state and the hard state resulting from multi-parton fragmentation. This model is the…

High Energy Physics - Phenomenology · Physics 2015-05-13 I. P. Lokhtin , L. V. Malinina , S. V. Petrushanko , A. M. Snigirev , I. Arsene , K. Tywoniuk

The 1-Jettiness (tau_1) event shape for Deep Inelastic Scattering (DIS), allows for a quantitative and global description of the pattern of QCD radiation for single jet (J) production in electron-nucleus (N_A) collisions e^- + N_A \to e^- +…

High Energy Physics - Phenomenology · Physics 2015-03-17 Zhong-Bo Kang , Xiaohui Liu , Sonny Mantry , Jianwei Qiu

Facial expression recognition (FER) plays an important role in a variety of real-world applications such as human-computer interaction. POSTER achieves the state-of-the-art (SOTA) performance in FER by effectively combining facial landmark…

Computer Vision and Pattern Recognition · Computer Science 2023-02-14 Jiawei Mao , Rui Xu , Xuesong Yin , Yuanqi Chang , Binling Nie , Aibin Huang

We present a new global QCD analysis of nuclear parton distribution functions and their uncertainties. In addition to the most commonly analyzed data sets for the deep-inelastic scattering of charged leptons off nuclei and Drell-Yan…

High Energy Physics - Phenomenology · Physics 2013-05-30 Daniel de Florian , Rodolfo Sassot , Marco Stratmann , Pia Zurita

Dark matter detectors require calibrations of their energy scale and efficiency to detect nuclear recoils in the $1-50$ keV range. Most calibrations use neutron scattering and require MCNP or Geant4 simulations of neutron propagation…

Nuclear Experiment · Physics 2014-03-19 Alan E. Robinson

I describe an new event generator, pandora, which uses the C++ class structure to allow a modular treatment of beams and particle production and decay. (Talk presented at the 1999 International Workshop on Linear Colliders, Sitges,…

High Energy Physics - Phenomenology · Physics 2007-05-23 Michael E. Peskin

A dipole picture of high energy scattering is developed in the 2+1 dimensional QCD, following Mueller. A generalized integral equation for the dipole density with a given separation and center of mass position is derived, and meson-meson…

High Energy Physics - Phenomenology · Physics 2016-08-24 Miao Li , Chung-I Tan

The fortran version of the AcerDET package has been published in [1], and used in the multiple publications on the predictions for physics at LHC. The package provides, starting from list of particles in the event, the list of reconstructed…

High Energy Physics - Phenomenology · Physics 2015-07-06 Patryk Mikos , Elzbieta Richter-Was

The recent developments on PYQUEN, HYDJET and HYDJET++ event generators are presented. The partonic energy loss model PYQUEN is implemented as the modification of the "standard" jet event obtained with the generator of hadron-hadron…

High Energy Physics - Phenomenology · Physics 2010-02-09 I. P. Lokhtin , L. V. Malinina , S. V. Petrushanko , A. M. Snigirev , I. Arsene , K. Tywoniuk

The Monte Carlo event generator HYDJET++ is one of the few generators, designed for the calculations of heavy-ion collisions at ultrarelativistic energies, which combine treatment of soft hydro-like processes with the description of jets…

As computational challenges in optimization and statistical inference grow ever harder, algorithms that utilize derivatives are becoming increasingly more important. The implementation of the derivatives that make these algorithms so…

Mathematical Software · Computer Science 2015-09-25 Bob Carpenter , Matthew D. Hoffman , Marcus Brubaker , Daniel Lee , Peter Li , Michael Betancourt

A method is proposed for determining the masses of the new particles N,X,Y,Z in collider events containing a pair of effectively identical decay chains Z to Y+jet, Y to X+l_1, X to N+l_2, where l_1, l_2 are opposite-sign same-flavour…

High Energy Physics - Phenomenology · Physics 2015-03-17 Mihoko M. Nojiri , Kazuki Sakurai , Bryan R. Webber

Dileptons represent a unique probe for nuclear matter under extreme conditions reached in heavy-ion collisions. They allow to study meson properties, like mass and decay width, at various density and temperature regimes. Present days models…

Nuclear Theory · Physics 2008-11-26 M. D. Cozma , C. Fuchs , E. Santini , A. Fässler

Energy loss of a jet due to multiple collisions in the nuclear target is studied in the framework of the perturbative QCD with an infrared cutoff. An iterational procedure for its calculation is developed, which allows to reliably find up…

High Energy Physics - Phenomenology · Physics 2014-11-20 M. A. Braun

We present two analytical formulae for estimating the sensitivity -- namely, the gradient or Jacobian -- at given realizations of an arbitrary-dimensional random vector with respect to its distributional parameters. The first formula…

Machine Learning · Statistics 2025-08-14 Pi-Yueh Chuang , Ahmed Attia , Emil Constantinescu

The Dice similarity coefficient (DSC) is both a widely used metric and loss function for biomedical image segmentation due to its robustness to class imbalance. However, it is well known that the DSC loss is poorly calibrated, resulting in…

Image and Video Processing · Electrical Eng. & Systems 2022-11-02 Michael Yeung , Leonardo Rundo , Yang Nan , Evis Sala , Carola-Bibiane Schönlieb , Guang Yang