scholarly journals Can Tsallis Distribution Fit All the Particle Spectra Produced at RHIC and LHC?

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
H. Zheng ◽  
Lilin Zhu
Keyword(s):  
Degree Of Freedom ◽  
Medium Effects ◽  
Particle Spectra ◽  
Tsallis Distribution ◽  
New Formula ◽  
Distribution Fit

The Tsallis distribution has been tested to fit all the particle spectra at mid-rapidity from central events produced in d + Au, Cu + Cu, and Au + Au collisions at RHIC and p + Pb, Pb + Pb collisions at LHC. Even though there are strong medium effects in Cu + Cu and Au + Au collisions, the results show that the Tsallis distribution can be used to fit most of particle spectra in the collisions studied except in Au + Au collisions where some deviations are seen for proton andΛat lowpT. In addition, as the Tsallis distribution can only fit part of the particle spectra produced in Pb + Pb collisions wherepTis up to 20 GeV/c, a new formula with one more fitting degree of freedom is proposed in order to reproduce the entirepTregion.

Medium effects of charged particles in Xe+Xe collisions at s NN = 5.44 TeV using modified Tsallis distribution

2021 ◽  
Vol 36 (07) ◽  
pp. 2150059
Author(s):  
Pramod Kumar ◽  
P. K. Khandai ◽  
Kapil Saraswat ◽  
V. Singh
Keyword(s):  
Good Description ◽  
Charged Particles ◽  
Heavy Ion ◽  
Transverse Flow ◽  
Original Form ◽  
Published Data ◽  
Medium Effects ◽  
Final State ◽  
Particle Spectra ◽  
Tsallis Distribution

We present a systematic study of transverse momentum [Formula: see text] spectra of charged particles in [Formula: see text] and Xe[Formula: see text]Xe collisions at [Formula: see text] TeV. The published data of invariant yields of charged particles as a function of [Formula: see text] is taken from ALICE at LHC in the mid-pseudorapidity region [Formula: see text]. The modified form of Tsallis distribution is used here to analyze the [Formula: see text] spectra of charged particles. The power law of Tsallis/Hagedorn form gives very good description of the charged particle spectra in [Formula: see text] collisions within a [Formula: see text] range of 0.15 GeV/[Formula: see text] to 50 GeV/[Formula: see text]. When we go from [Formula: see text] collisions to heavy-ion (Xe[Formula: see text]Xe) collisions, the original form of Tsallis/Hagedorn distribution is not able to describe the [Formula: see text] spectra of charged particles properly. This may be occurred due to the medium effects or the final state effects. Here we discuss two types of medium effects of charged particles in Xe[Formula: see text]Xe collisions, one is the transverse flow in the low to intermediate [Formula: see text] region ([Formula: see text] GeV/[Formula: see text]) and the other is the energy loss in the high [Formula: see text] region ([Formula: see text] GeV/[Formula: see text]), using the modified Tsallis distribution.

A Wavelet-Logarithmic Decrement to Identify Damping in MDOF Systems: Theory and Applications

2001 ◽  
Author(s):  
C. H. Lamarque ◽  
S. Pernot
Keyword(s):  
Systems Theory ◽  
Time Domain ◽  
Degree Of Freedom ◽  
Logarithmic Decrement ◽  
Mdof Systems ◽  
In Situ Experiments ◽  
New Formula

Abstract A wavelet-based formula similar to the logarithmic decrement formula is introduced to estimate damping in multi-degree-of-freedom systems from time-domain responses. The new formula is then validated upon both numerical and in-situ experiments.

scholarly journals Comparing the Tsallis Distribution with and without Thermodynamical Description inp+pCollisions

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
H. Zheng ◽  
Lilin Zhu
Keyword(s):  
Experimental Data ◽  
Transverse Momentum ◽  
Transverse Energy ◽  
Transverse Mass ◽  
Heavy Particles ◽  
Momentum Spectra ◽  
Transverse Momentum Spectra ◽  
Extra Factor ◽  
Particle Spectra ◽  
Tsallis Distribution

We compare two types of Tsallis distribution, that is, with and without thermodynamical description, using the experimental data from the STAR, PHENIX, ALICE, and CMS Collaborations on the rapidity and energy dependence of the transverse momentum spectra inp+pcollisions. Both of them can fit the particle spectra well. We show that the Tsallis distribution with thermodynamical description gives lower temperatures than the ones without it. The extra factormT(transverse mass) in the Tsallis distribution with thermodynamical description plays an important role in the discrepancies between the two types of Tsallis distribution. But for the heavy particles, the choice to usemTorET(transverse energy) in the Tsallis distribution becomes more crucial.

scholarly journals Exploration and Practice of a New Formula for Calculating the Degree of Freedom

2018 ◽  
Vol 175 ◽  
pp. 03018
Author(s):  
Yangxiaochi
Keyword(s):  
Physical Meaning ◽  
Degrees Of Freedom ◽  
Structural Mechanics ◽  
Degree Of Freedom ◽  
Calculation Results ◽  
New Formula

The current “structural mechanics” in the textbook, the more sub items in the formula of calculating degrees of freedom, is not conducive for the students to master the understanding and calculation of degree of freedom concept. After a few years of teaching, the new calculating formula of degree of freedom for the system is put forward, and the old formula is verified by two examples. The result shows that the new calculating formula and the current mainstream material formula calculation results are consistent, and the new formula is more helpful for students to understand the physical meaning of the calculation of degrees of freedom.

scholarly journals The Anomalous Distributions and Soret Coefficient in a Nonequilibrium Colloidal System

2016 ◽  
Vol 15 (01) ◽  
pp. 1650001 ◽  
Author(s):  
Yanjun Zhou ◽  
Jiulin Du
Keyword(s):  
Brownian Motion ◽  
Temperature Gradient ◽  
Potential Energy ◽  
Colloidal Particle ◽  
Particle Density ◽  
Soret Coefficient ◽  
Colloidal System ◽  
Nonextensive Statistics ◽  
Tsallis Distribution ◽  
New Formula

We study the density distribution and Soret coefficient in a nonequilibrium colloidal system by using the overdamped Langevin equation for Brownian motion in an inhomogeneous strong friction medium. Based on the relation between the temperature gradient, the interaction potential and the [Formula: see text]-parameter in nonextensive statistics, we show that the colloidal particle density can be a function of the temperature and anomalously follows the noted [Formula: see text]-distribution, or equivalently it can also be a function of the potential energy following Tsallis distribution. With the [Formula: see text]-parameter we can establish a new formula of Soret coefficient and thus, bridge the gap between the ideally theoretical Soret coefficient and available experiments.

Gender Differences in the Mental Rotations Test (MRT) Are Not Due to Task Complexity

2008 ◽  
Vol 29 (3) ◽  
pp. 130-133 ◽  
Author(s):  
Corinna Titze ◽  
Martin Heil ◽  
Petra Jansen
Keyword(s):  
Gender Differences ◽  
Mental Rotation ◽  
Task Complexity ◽  
Time Constraints ◽  
Medium Effects ◽  
Performance Factors ◽  
Mental Rotations ◽  
Sufficient Power ◽  
Forced Choice Tasks ◽  
Choice Tasks

Gender differences are one of the main topics in mental rotation research. This paper focuses on the influence of the performance factor task complexity by using two versions of the Mental Rotations Test (MRT). Some 300 participants completed the test without time constraints, either in the regular version or with a complexity reducing template creating successive two-alternative forced-choice tasks. Results showed that the complexity manipulation did not affect the gender differences at all. These results were supported by a sufficient power to detect medium effects. Although performance factors seem to play a role in solving mental rotation problems, we conclude that the variation of task complexity as realized in the present study did not.

Approximating power for significance tests with one degree of freedom.

1997 ◽  
Vol 2 (2) ◽  
pp. 186-191 ◽  
Author(s):  
William P. Dunlap ◽  
Leann Myers
Keyword(s):  
Degree Of Freedom ◽  
Significance Tests

A new formula for using the audiogram to predict hearing loss for speech. (Rep. No. 273).

1956 ◽  
Author(s):  
J. Donald Harris ◽  
Henry L. Haines ◽  
Cecil K. Myers
Keyword(s):  
Hearing Loss ◽  
New Formula

Macrosomia – a new formula for optimized fetal weight estimation

2008 ◽  
Vol 68 (S 01) ◽  
Author(s):  
NC Hart ◽  
J Siemer ◽  
B Meurer ◽  
TW Goecke ◽  
RL Schild
Keyword(s):  
Fetal Weight ◽  
Weight Estimation ◽  
Fetal Weight Estimation ◽  
New Formula
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