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Hi all,</div>
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I was hoping to submit the following abstract to DIS to speak about my pipi0 dihadron measurements at CLAS12. </div>
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<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><i>Dihadron semi-inclusive deep inelastic scattering (SIDIS) of 10.6 GeV longitudinally
polarized electrons off the proton has been measured using the CLAS12 detector at Jefferson Lab. Beam Spin Asymmetries (BSAs) of the hadron pair's angular distribution were calculated for two separate channels, $\pi^+\pi^0$ and $\pi^-\pi^0$. A photon classifier
using a Gradient Boosted Trees (GBTs) architecture was trained with Monte Carlo simulations to reduce the amount of background $\pi^0$'s. We show that the nearest-neighbor features learned by the model lead to a substantial increase in signal vs. background
discrimination compared to previous $\pi^0$ analyses. The machine learning approach recovers several times more dihadron statistics for the dataset. The improved precision in the BSAs provides a more interpretable look into the structure of protons and the
mechanism of hadronization.</i></span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><br>
</span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Please let me know of any recommended changes before I submit!</span></div>
<div class="elementToProof"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Greg</span></div>
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