Unveiling the effects of multiple soft partonic interactions in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mi>p</mml:mi></mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo>=</mml:mo><mml:mn>13.6</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:mrow></mml:math> using a new event …

Event classifiers based either on the charged-particle multiplicity or event shape have been extensively used in proton-proton (pp) collisions by ALICE collaboration at LHC. The use of these tools became very instrumental since observation fluid-like behavior high-multiplicity pp collisions. In particular, study as a function registered forward V0 detector allowed for discovery strangeness enhancement However, one drawback multiplicity-based is that requiring high biases sample towards hard processes like multi-jet final states. These make it difficult to perform jet-quenching searches this context, present paper explores new classifier, flattenicity; which uses calculated pseudorapidity region. To illustrate how tool works, $\sqrt{s}=13.6$ TeV simulated with PYTHIA~8 are explored. sensitivity flattencity multi-partonic interactions well ``hardness'' collision discussed. PYTHIA 8 predictions transverse momentum spectra light- and heavy-flavored hadrons flattenicity presented.