A METHOD FOR MEASURING ELLIPTIC FLOW FLUCTUATIONS WITH THE PHOBOS DETECTOR

2007 ◽  
Vol 16 (07n08) ◽  
pp. 1852-1858
Author(s):  
◽  
BURAK ALVER
Keyword(s):  
Monte Carlo ◽  
Maximum Likelihood ◽  
Monte Carlo Simulations ◽  
Elliptic Flow ◽  
Monte Carlo Event ◽  
Event Generator ◽  
Analysis Method ◽  
Statistical Fluctuations ◽  
Flow Fluctuations ◽  
Dynamical Fluctuations

We have performed the first measurement of elliptic flow (v2) fluctuations in nucleus-nucleus collisions. In this paper, we describe the analysis method we have developed for this measurement. In this method, v2 is determined event-by-event by a maximum likelihood fit. The non-statistical fluctuations are determined by unfolding the contribution of statistical fluctuations and detector effects using Monte Carlo simulations. Application of this method to measure dynamical fluctuations in events from a different Monte Carlo event generator is presented.

kronos: A Monte Carlo event generator for higher order QED corrections at HERA — Status report

1992 ◽  
Vol 29 (1) ◽  
pp. 247-252
Author(s):  
Harald Anlauf ◽  
Panagiotis Manakos ◽  
Thomas Mannel ◽  
Hans D. Dahmen ◽  
Thorsten Ohl
Keyword(s):  
Monte Carlo ◽  
Higher Order ◽  
Monte Carlo Event ◽  
Status Report ◽  
Event Generator ◽  
Monte Carlo Event Generator

scholarly journals Investigation of the influence of nuclear matter on hard neutrino nucleus interaction using the HARDPING Monte Carlo Event Generator

2016 ◽  
Vol 125 ◽  
pp. 04021
Author(s):  
Ya.A. Berdnikov ◽  
A.Ya. Berdnikov ◽  
V.T. Kim ◽  
A.E. Ivanov ◽  
D.P. Suetin ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Nuclear Matter ◽  
Monte Carlo Event ◽  
Event Generator ◽  
Nucleus Interaction ◽  
Monte Carlo Event Generator

scholarly journals Spacetime colour reconnection in Herwig 7

2019 ◽  
Vol 79 (12) ◽  
Author(s):  
Johannes Bellm ◽  
Cody B Duncan ◽  
Stefan Gieseke ◽  
Miroslav Myska ◽  
Andrzej Siódmok
Keyword(s):  
Monte Carlo ◽  
Reasonable Agreement ◽  
Distance Measure ◽  
Monte Carlo Event ◽  
Event Generator ◽  
Monte Carlo Event Generator ◽  
Colour Reconnection ◽  
Invariant Distance

AbstractWe present a model for generating spacetime coordinates in the Monte Carlo event generator Herwig 7, and perform colour reconnection by minimizing a boost-invariant distance measure of the system. We compare the model to a series of soft physics observables. We find reasonable agreement with the data, suggesting that pp-collider colour reconnection may be able to be applied in larger systems.

scholarly journals Maximum Likelihood and Two-Step Estimation of an Ordered-Probit Selection Model

2007 ◽  
Vol 7 (2) ◽  
pp. 167-182 ◽  
Author(s):  
Richard Chiburis ◽  
Michael Lokshin
Keyword(s):  
Monte Carlo ◽  
Maximum Likelihood ◽  
Monte Carlo Simulations ◽  
Regression Model ◽  
Selection Rule ◽  
Ordered Probit ◽  
Maximum Likelihood Estimates ◽  
Full Information ◽  
Full Information Maximum Likelihood ◽  
Two Step Estimation

We discuss the estimation of a regression model with an ordered-probit selection rule. We have written a Stata command, oheckman, that computes two-step and full-information maximum-likelihood estimates of this model. Using Monte Carlo simulations, we compare the performances of these estimators under various conditions.

scholarly journals Substructure in Rich Clusters

1988 ◽  
Vol 130 ◽  
pp. 537-537
Author(s):  
Rachel Webster ◽  
Michael Fitchett ◽  
Paul Hewett ◽  
Matthew Colless
Keyword(s):  
Monte Carlo ◽  
Maximum Likelihood ◽  
Monte Carlo Simulations ◽  
Statistical Method

We have developed a new statistical method based on maximum likelihood to test for the existence of two subclumps in data of arbitrary dimensionality (Fitchett 1987). The statistic, which is called the Lee function, can be calibrated using Monte Carlo simulations under various null hypotheses.

scholarly journals Hints for possible low redshift oscillation around the best fit ΛCDM model in the expansion history of the universe

2020 ◽  
Author(s):  
L Kazantzidis ◽  
H Koo ◽  
S Nesseris ◽  
L Perivolaropoulos ◽  
A Shafieloo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Absolute Magnitude ◽  
Density Parameter ◽  
Statistical Fluctuations ◽  
Full Dataset ◽  
Λcdm Model ◽  
History Of ◽  
Best Fit ◽  
The Universe

Abstract We search for possible deviations from the expectations of the concordance ΛCDM model in the expansion history of the Universe by analysing the Pantheon Type Ia Supernovae (SnIa) compilation along with its Monte Carlo simulations using redshift binning. We demonstrate that the redshift binned best fit ΛCDM matter density parameter Ω0m and the best fit effective absolute magnitude $\cal M$ oscillate about their full dataset best fit values with considerably large amplitudes. Using the full covariance matrix of the data taking into account systematic and statistical errors, we show that at the redshifts below z ≈ 0.5 such oscillations can only occur in 4 to 5% of the Monte Carlo simulations. While statistical fluctuations can be responsible for this apparent oscillation, we might have observed a hint for some behaviour beyond the expectations of the concordance model or a possible additional systematic in the data. If this apparent oscillation is not due to statistical or systematic effects, it could be due to either the presence of coherent inhomogeneities at low z or due to oscillations of a quintessence scalar field.

Sign in / Sign up

Export Citation Format

Share Document