Speaker
Description
Calculations of jet quenching often estimate the fractional energy loss $$\epsilon$$ of jets using non-fluctuating mean-field theories, which are adequate for some applications but miss the effects of fluctuations. Previous studies have incorporated fluctuations by constructing a spectrum $$P(\epsilon)$$ using a Compound Poisson Distribution (CPD) built from independent, identical emissions. By construction, this approach generates an unphysical region with $$\epsilon>1$$, requiring ad hoc regulation, such as renormalizing the $$\epsilon<1$$ continuum or introducing a delta function at $$\epsilon=1$$. These approaches inevitably distort the expectation value $$\langle \epsilon \rangle$$.In this work, we introduce a new constrained CPD without artificial distortions to $$\langle \epsilon \rangle$$ as well as a modification of the Poisson convolution itself that preserves $$\epsilon \leq 1$$. This provides a physically consistent framework for incorporating Poissonian energy-loss fluctuations. We then explore the implications of energy loss fluctuations for jet quenching phenomenology and its coupling to jet drift (asymmetric transverse momentum broadening), showing that drift is particularly sensitive to fluctuations, with jets that lose more energy becoming more susceptible to drift. These results highlight the importance of constrained energy-loss fluctuations for jet tomography at intermediate energies.
| Is this an experimental talk? | No |
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| Is this on behalf of a collaboration? | No |
| Are you willing to present as a poster if it is not selected for oral presentation? | Yes |