Abstract The double differential cross sections of the Drell–Yan lepton pair ($$\ell ^+\ell ^-$$ , dielectron or dimuon) production are measured as functions of the invariant mass$$m_{\ell \ell }$$ , transverse momentum$$p_{\textrm{T}} (\ell \ell )$$ , and$$\varphi ^{*}_{\eta }$$ . The$$\varphi ^{*}_{\eta }$$ observable, derived from angular measurements of the leptons and highly correlated with$$p_{\textrm{T}} (\ell \ell )$$ , is used to probe the low-$$p_{\textrm{T}} (\ell \ell )$$ region in a complementary way. Dilepton masses up to 1$$\,\text {Te\hspace{-.08em}V}$$ are investigated. Additionally, a measurement is performed requiring at least one jet in the final state. To benefit from partial cancellation of the systematic uncertainty, the ratios of the differential cross sections for various$$m_{\ell \ell }$$ ranges to those in the Z mass peak interval are presented. The collected data correspond to an integrated luminosity of 36.3$$\,\text {fb}^{-1}$$ of proton–proton collisions recorded with the CMS detector at the LHC at a centre-of-mass energy of 13$$\,\text {Te\hspace{-.08em}V}$$ . Measurements are compared with predictions based on perturbative quantum chromodynamics, including soft-gluon resummation.
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This content will become publicly available on December 1, 2025
ESKEMAP: exact sketch-based read mapping
Abstract BackgroundGiven a sequencing read, the broad goal of read mapping is to find the location(s) in the reference genome that have a “similar sequence”. Traditionally, “similar sequence” was defined as having a high alignment score and read mappers were viewed as heuristic solutions to this well-defined problem. For sketch-based mappers, however, there has not been a problem formulation to capture what problem an exact sketch-based mapping algorithm should solve. Moreover, there is no sketch-based method that can find all possible mapping positions for a read above a certain score threshold. ResultsIn this paper, we formulate the problem of read mapping at the level of sequence sketches. We give an exact dynamic programming algorithm that finds all hits above a given similarity threshold. It runs in$$\mathcal {O} (|t| + |p| + \ell ^2)$$ time and$$\mathcal {O} (\ell \log \ell )$$ space, where |t| is the number of$$k$$ -mers inside the sketch of the reference, |p| is the number of$$k$$ -mers inside the read’s sketch and$$\ell$$ is the number of times that$$k$$ -mers from the pattern sketch occur in the sketch of the text. We evaluate our algorithm’s performance in mapping long reads to the T2T assembly of human chromosome Y, where ampliconic regions make it desirable to find all good mapping positions. For an equivalent level of precision as minimap2, the recall of our algorithm is 0.88, compared to only 0.76 of minimap2.
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- Award ID(s):
- 2138585
- PAR ID:
- 10519792
- Publisher / Repository:
- Springer Nature
- Date Published:
- Journal Name:
- Algorithms for Molecular Biology
- Volume:
- 19
- Issue:
- 1
- ISSN:
- 1748-7188
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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