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	<title>criticality and statistical signatures &#8211; Science</title>
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	<title>criticality and statistical signatures &#8211; Science</title>
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		<title>Non-Gaussian Fluctuations in Order Parameter Across a Phase Transition</title>
		<link>https://scienmag.com/non-gaussian-fluctuations-in-order-parameter-across-a-phase-transition/</link>
		
		<dc:creator><![CDATA[Katie Riggs]]></dc:creator>
		<pubDate>Mon, 27 Jul 2026 16:20:21 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[continuous phase transition in lattice Bose gases]]></category>
		<category><![CDATA[criticality and statistical signatures]]></category>
		<category><![CDATA[effective potential reconstruction in phase transitions]]></category>
		<category><![CDATA[experimental measurement of order parameter distributions]]></category>
		<category><![CDATA[fluctuation pathways and phase transition dynamics]]></category>
		<category><![CDATA[high-order cumulants and fluctuation reshaping near criticality]]></category>
		<category><![CDATA[Landau theory analogy in critical phenomena]]></category>
		<category><![CDATA[Non-Gaussian fluctuations in phase transitions]]></category>
		<category><![CDATA[non-Gaussian probability distributions in condensed matter physics]]></category>
		<category><![CDATA[non-trivial minima in superfluid phase]]></category>
		<category><![CDATA[order parameter probability distribution]]></category>
		<category><![CDATA[single-atom-resolved detection in quantum gases]]></category>
		<guid isPermaLink="false">https://scienmag.com/non-gaussian-fluctuations-in-order-parameter-across-a-phase-transition/</guid>

					<description><![CDATA[A continuous phase transition is usually diagnosed through critical exponents and scaling laws. Yet the deeper fingerprint of criticality is statistical: the order parameter does not fluctuate randomly in a purely Gaussian way near the transition, but instead develops distinct non-Gaussian probability distributions. Although this idea has been anticipated for decades, experimental access to the [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A continuous phase transition is usually diagnosed through critical exponents and scaling laws. Yet the deeper fingerprint of criticality is statistical: the order parameter does not fluctuate randomly in a purely Gaussian way near the transition, but instead develops distinct non-Gaussian probability distributions. Although this idea has been anticipated for decades, experimental access to the full order-parameter statistics has been limited.</p>
<p>Now, a team led by Matthieu Allemand and colleagues has directly measured the probability distribution of an order-parameter amplitude across a continuous transition in an interacting lattice Bose gas. Using single-atom-resolved detection in momentum space, they capture how the system evolves as it moves from an ordered superfluid regime into a disordered phase.</p>
<p>Rather than focusing only on mean values, the researchers reconstruct an effective potential from the measured distribution, drawing an analogy to Landau theory. The resulting potential exhibits a non-trivial minimum in the superfluid phase, indicating stable ordering, and this minimum disappears as the transition point is approached.</p>
<p>The most striking result is the emergence of clear non-Gaussian statistics near criticality. High-order cumulants of the order parameter do not simply grow or diminish smoothly: they undergo abrupt sign changes as the transition is crossed, reflecting the reshaping of fluctuation pathways that a Gaussian model would miss.</p>
<p>To interpret these sign reversals, the authors perform numerical studies in homogeneous systems, demonstrating that the cumulant sign-change behavior follows critical scaling. This indicates that the phenomenon is not an experimental artifact but a universal aspect of fluctuation statistics.</p>
<p>However, the experimentally observed pattern is not reproduced by classical models. Instead, the behavior is captured by a low-temperature quantum model, linking the non-Gaussian signatures specifically to quantum critical fluctuation physics.</p>
<p>The study underscores that universality extends beyond thermodynamic singularities and order-parameter averages. It also resides in the detailed statistics of fluctuations—information encoded in the full probability distribution.</p>
<p>This work offers a new route for “viral” critical diagnostics: rather than just extracting exponents, experimentalists can look for cumulant sign changes and effective-potential evolution as direct markers of criticality.</p>
<p>By combining quantum-matter experiments with probability-distribution reconstruction, the researchers show that order-parameter statistics themselves can become a practical microscope for universality.</p>
<p><Strong>Subject of Research</Strong>: Critical phenomena; non-Gaussian order-parameter statistics; quantum phase transitions.</p>
<p><Strong>Article Title</Strong>: Non-Gaussian statistics of the order parameter across a phase transition.</p>
<p><Strong>Article References</Strong>: Allemand, M., Dupuy, G., Paquiez, P. et al. <em>Non-Gaussian statistics of the order parameter across a phase transition.</em> <em>Nature</em> (2026). <a href="https://doi.org/10.1038/s41586-026-10811-1">https://doi.org/10.1038/s41586-026-10811-1</a></p>
<p><Strong>Image Credits</Strong>: AI Generated</p>
<p><Strong>DOI</Strong>: <a href="https://doi.org/10.1038/s41586-026-10811-1">https://doi.org/10.1038/s41586-026-10811-1</a></p>
<p><Strong>Keywords</Strong>: order parameter; non-Gaussian fluctuations; quantum criticality; Landau-like effective potential; cumulants; universality.</p>
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