Describing hadronization via histories and observables for Monte-Carlo event reweighting
(2025) In SciPost Physics 18(2).- Abstract
We introduce a novel method for extracting a fragmentation model directly from experimental data without requiring an explicit parametric form, called Histories and Observables for Monte-Carlo Event Reweighting (HOMER), consisting of three steps: the training of a classifier between simulation and data, the inference of single fragmentation weights, and the calculation of the weight for the full hadronization chain. We illustrate the use of HOMER on a simplified hadronization problem, a qq̄ string fragmenting into pions, and extract a modified Lund string fragmentation function f(z). We then demonstrate the use of HOMER on three types of experimental data: (i) binned distributions of high-level observables, (ii) unbinned event-by-event... (More)
We introduce a novel method for extracting a fragmentation model directly from experimental data without requiring an explicit parametric form, called Histories and Observables for Monte-Carlo Event Reweighting (HOMER), consisting of three steps: the training of a classifier between simulation and data, the inference of single fragmentation weights, and the calculation of the weight for the full hadronization chain. We illustrate the use of HOMER on a simplified hadronization problem, a qq̄ string fragmenting into pions, and extract a modified Lund string fragmentation function f(z). We then demonstrate the use of HOMER on three types of experimental data: (i) binned distributions of high-level observables, (ii) unbinned event-by-event distributions of these observables, and (iii) full particle cloud information. After demonstrating that f(z) can be extracted from data (the inverse of hadronization), we also show that, at least in this limited setup, the fidelity of the extracted f(z) suffers only limited loss when moving from (i) to (ii) to (iii). Public code is available at https://gitlab.com/uchep/mlhad.
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- author
- Bierlich, Christian LU ; Ilten, Phil ; Menzo, Tony ; Mrenna, Stephen ; Szewc, Manuel ; Wilkinson, Michael K. ; Youssef, Ahmed and Zupan, Jure
- organization
- publishing date
- 2025-02
- type
- Contribution to journal
- publication status
- published
- subject
- in
- SciPost Physics
- volume
- 18
- issue
- 2
- article number
- 054
- publisher
- SciPost
- external identifiers
-
- scopus:85218932554
- ISSN
- 2542-4653
- DOI
- 10.21468/SciPostPhys.18.2.054
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: Copyright C. Bierlich et al.
- id
- f1ef38c7-b214-4655-9032-692475fc76bf
- date added to LUP
- 2025-06-23 13:10:50
- date last changed
- 2025-06-23 13:11:52
@article{f1ef38c7-b214-4655-9032-692475fc76bf, abstract = {{<p>We introduce a novel method for extracting a fragmentation model directly from experimental data without requiring an explicit parametric form, called Histories and Observables for Monte-Carlo Event Reweighting (HOMER), consisting of three steps: the training of a classifier between simulation and data, the inference of single fragmentation weights, and the calculation of the weight for the full hadronization chain. We illustrate the use of HOMER on a simplified hadronization problem, a qq̄ string fragmenting into pions, and extract a modified Lund string fragmentation function f(z). We then demonstrate the use of HOMER on three types of experimental data: (i) binned distributions of high-level observables, (ii) unbinned event-by-event distributions of these observables, and (iii) full particle cloud information. After demonstrating that f(z) can be extracted from data (the inverse of hadronization), we also show that, at least in this limited setup, the fidelity of the extracted f(z) suffers only limited loss when moving from (i) to (ii) to (iii). Public code is available at https://gitlab.com/uchep/mlhad.</p>}}, author = {{Bierlich, Christian and Ilten, Phil and Menzo, Tony and Mrenna, Stephen and Szewc, Manuel and Wilkinson, Michael K. and Youssef, Ahmed and Zupan, Jure}}, issn = {{2542-4653}}, language = {{eng}}, number = {{2}}, publisher = {{SciPost}}, series = {{SciPost Physics}}, title = {{Describing hadronization via histories and observables for Monte-Carlo event reweighting}}, url = {{http://dx.doi.org/10.21468/SciPostPhys.18.2.054}}, doi = {{10.21468/SciPostPhys.18.2.054}}, volume = {{18}}, year = {{2025}}, }