New signatures of phase transition from Statistical Models of Nuclear multifragmentation
G. Chaudhuri, S. Mallik, P. Das, S. Das Gupta

TL;DR
This paper introduces new experimental signatures for identifying liquid-gas phase transitions in nuclear matter, based on derivatives of accessible observables, which are easier to measure than traditional thermodynamic signatures.
Contribution
It proposes derivatives of order parameters as new, accessible indicators of phase transition, supported by statistical models and experimental data, enhancing detection methods in nuclear physics.
Findings
Derivative signals align with specific heat peaks
Proposed signatures are experimentally feasible
Confirmed by theoretical models and experiments
Abstract
The study of liquid-gas phase transition in heavy ion collisions has generated a lot of interest amongst the nuclear physicists in the recent years. In heavy ion collisions, there is no direct way of measuring the state variables like entropy, pressure, energy and hence unambiguous characterization of phase transition becomes difficult. This work proposes new signatures of phase transition that can be extracted from the observables which are easily accessible in experiments. It is observed that the temperature dependence of the first order derivative of the order parameters in nuclear liquid gas phase transition exhibit similar behavior as that of the variation of specific heat at constant volume Cv which is an established signature of first order phase transition. This motivates us to propose these derivatives as confirmatory signals of liquid-gas phase transition. The measurement of…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Quantum chaos and dynamical systems · Nuclear physics research studies
