Robert L. Wolpert
Duke University
Publications 131
#1A. KumarH-Index: 2
#2Yasuki TachibanaH-Index: 5
Last.Z. YangH-Index: 1
view all 45 authors...
The JETSCAPE framework is a modular and versatile Monte Carlo software package for the simulation of high energy nuclear collisions. In this work we present a new tune of JETSCAPE, called PP19, and validate it by comparison to jet-based measurements in p+pcollisions, including inclusive single jet cross sections, jet shape observables, fragmentation functions, charged hadron cross sections, and dijet mass cross sections. These observables in p+pcollisions provide the baseline for their cou...
1 Citations
#1J. PutschkeH-Index: 36
#2Aaron AngeramiH-Index: 86
Last.Y. HeH-Index: 2
view all 45 authors...
The JETSCAPE simulation framework is an overarching computational envelope for developing complete event generators for heavy-ion collisions. It allows for modular incorporation of a wide variety of existing and future software that simulates different aspects of a heavy-ion collision. The default JETSCAPE package contains both the framework, and an entire set of indigenous and third party routines that can be used to directly compare with experimental data. In this article, we outline the algor...
2 Citations
#1Chanwook Park (McGill University)H-Index: 3
#2Aaron AngeramiH-Index: 86
Last.Z. YangH-Index: 1
view all 44 authors...
The JETSCAPE Collaboration has recently announced the first release of the JETSCAPE package that provides a modular, flexible, and extensible Monte Carlo event generator. This innovative framework makes it possible to perform a comprehensive study of multi-stage high-energy jet evolution in the Quark-Gluon Plasma. In this work, we illustrate the performance of the event generator for different algorithmic approaches to jet energy loss, and reproduce the measurements of several jet and hadron obs...
1 Citations
The search for the particle nature of dark matter has given rise to a number of experimental, theoretical and statistical challenges. Here, we report on a number of these statistical challenges and new techniques to address them, as discussed in the DMStat workshop held Feb 26 - Mar 3 2018 at the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Alberta.
#1Robert L. Wolpert (Duke University)H-Index: 27
#2Elaine T. Spiller (Marquette University)H-Index: 6
Last.Eliza S. Calder (Edin.: University of Edinburgh)H-Index: 27
view all 3 authors...
To mitigate volcanic hazards from pyroclastic density currents, volcanologists generate hazard maps that provide long-term forecasts of areas of potential impact. Several recent efforts in the field develop new statistical methods for application of flow models to generate fully probabilistic hazard maps that both account for, and quantify, uncertainty. However a limitation to the use of most statistical hazard models, and a key source of uncertainty within them, is the time-averaged nature of t...
Finite mixture models are used in statistics and other disciplines, but inference for mixture models is challenging. The multimodality of the likelihood function and the so called label switching problem contribute to the challenge. We propose extensions of the Approximate Bayesian Computation Population Monte-Carlo (ABC-PMC) algorithm as an alternative framework for inference on finite mixture models. There are several decisions to make when implementing an ABC-PMC algorithm for finite mixture ...
Direct coupling of computer models is often difficult for computational and logistical reasons. We propose coupling computer models by linking independently developed Gaussian process emulators (GaSPs) of these models. Linked emulators are developed that are closed form, namely normally distributed with closed form predictive mean and variance functions. These are compared with a more direct emulation strategy, namely running the coupled computer models and directly emulating the system; perhaps...
1 CitationsSource
#1Daniel J. Benjamin (SC: University of Southern California)H-Index: 27
#2James O. Berger (Duke University)H-Index: 65
Last.Valen E. Johnson (SC: University of Southern California)H-Index: 35
view all 72 authors...
We propose to change the default P-value threshold for statistical significance from 0.05 to 0.005 for claims of new discoveries.
418 CitationsSource
The radial velocity method is one of the most successful techniques for detecting exoplanets. It works by detecting the velocity of a host star induced by the gravitational effect of an orbiting planet, specifically the velocity along our line of sight, which is called the radial velocity of the star. As astronomical instrumentation has improved, radial velocity surveys have become sensitive to low-mass planets that cause their host star to move with radial velocities of 1 m/s or less. While ana...
11 Citations
#1Shanshan CaoH-Index: 12
#2Chanwook ParkH-Index: 3
Last.Robert L. WolpertH-Index: 27
view all 33 authors...
The modification of hard jets in an extended static medium held at a fixed temperature is studied using three different Monte-Carlo event generators (LBT, MATTER, MARTINI). Each event generator contains a different set of assumptions regarding the energy and virtuality of the partons within a jet versus the energy scale of the medium, and hence, applies to a different epoch in the space-time history of the jet evolution. For the first time, modeling is developed where a jet may sequentially tran...
15 CitationsSource