diff --git a/HEPML.bib b/HEPML.bib index 0811041..1b5a2a4 100644 --- a/HEPML.bib +++ b/HEPML.bib @@ -293,18 +293,6 @@ @article{Athanasakos:2023fhq year = "2023" } -% May 10, 2023 -@article{Aguilar-Saavedra:2023pde, - author = "Aguilar-Saavedra, J. A. and Arganda, E. and Joaquim, F. R. and Sand\'a Seoane, R. M. and Seabra, J. F.", - title = "{Gradient Boosting MUST taggers for highly-boosted jets}", - eprint = "2305.04957", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - reportNumber = "IFT-UAM/CSIC-23-29", - month = "5", - year = "2023" -} - % May 9, 2023 @article{Buhmann:2023bwk, author = {Buhmann, Erik and Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Korol, Anatolii and Korcari, William and Kr\"uger, Katja and McKeown, Peter}, @@ -317,16 +305,6 @@ @article{Buhmann:2023bwk year = "2023" } -@article{Bardhan:2023mia, - author = "Bardhan, Debjyoti and Kats, Yevgeny and Wunch, Noam", - title = "{Searching for dark jets with displaced vertices using weakly supervised machine learning}", - eprint = "2305.04372", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - month = "5", - year = "2023" -} - % May 8, 2023 @article{Sengupta:2023xqy, author = "Sengupta, Debajyoti and Klein, Samuel and Raine, John Andrew and Golling, Tobias", @@ -338,16 +316,6 @@ @article{Sengupta:2023xqy year = "2023" } -@article{Dennis:2023kfe, - author = "Dennis, Mitchell T. and Sakstein, Jeremy", - title = "{Tip of the Red Giant Branch Bounds on the Axion-Electron Coupling Revisited}", - eprint = "2305.03113", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - month = "5", - year = "2023" -} %%% not sure this is HEP - %May 7, 2023 @article{Aguilar-Saavedra:2023pde, author = "Aguilar-Saavedra, J. A. and Arganda, E. and Joaquim, F. R. and Sand\'a Seoane, R. M. and Seabra, J. F.", @@ -393,16 +361,6 @@ @article{Dennis:2023kfe year = "2023" } -@article{Soleymaninia:2023dds, - author = "Soleymaninia, Maryam and Hashamipour, Hadi and Khanpour, Hamzeh and Shoeib, Samira and Mohamaditabar, Alireza", - title = "{Nuclear corrections on the charged hadron fragmentation functions in a Neural Network global QCD analysis}", - eprint = "2305.02664", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - month = "5", - year = "2023" -} - %May 2, 2023 @article{Shi:2023xfz, author = "Shi, Jun and Gui, Long-Cheng and Liang, Jian and Liu, Guoming", @@ -414,28 +372,6 @@ @article{Shi:2023xfz year = "2023" } -@article{Basak:2023wzq, - author = "Basak, Dipankar and Dey, Kalyan", - title = "{Estimation of collision centrality in terms of the number of participating nucleons in heavy-ion collisions using deep learning}", - eprint = "2305.00493", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - month = "4", - year = "2023" -} - - -@article{Guo:2023nfu, - author = "Guo, Yu-Chen and Feng, Fan and Di, An and Lu, Shi-Qi and Yang, Ji-Chong", - title = "{MLAnalysis: An open-source program for high energy physics analyses}", - eprint = "2305.00964", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - month = "5", - year = "2023" -} - - %May 1, 2023 @article{Guo:2023nfu, author = "Guo, Yu-Chen and Feng, Fan and Di, An and Lu, Shi-Qi and Yang, Ji-Chong", @@ -482,28 +418,6 @@ @article{Algren:2023qnb year = "2023" } -@article{Fernando:2023obn, - author = "Fernando, I. P. and Keller, D.", - title = "{A Modern Global Extraction of the Sivers Function}", - eprint = "2304.14328", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - month = "4", - year = "2023" -} - -@article{Nishimura:2023wdu, - author = "Nishimura, Satsuki and Miyao, Coh and Otsuka, Hajime", - title = "{Exploring the flavor structure of quarks and leptons with reinforcement learning}", - eprint = "2304.14176", - archivePrefix = "arXiv", - primaryClass = "hep-ph", - reportNumber = "KYUSHU-HET-257", - month = "4", - year = "2023" -} - - %Apr. 27, 2023 @article{Nishimura:2023wdu, author = "Nishimura, Satsuki and Miyao, Coh and Otsuka, Hajime", diff --git a/docs/recent.md b/docs/recent.md index 9e316c5..4f207b1 100644 --- a/docs/recent.md +++ b/docs/recent.md @@ -41,30 +41,18 @@ This is an automatically compiled list of papers which have been added to the li * [ELSA - Enhanced latent spaces for improved collider simulations](https://arxiv.org/abs/2305.07696) * [Neural Network predictions of inclusive electron-nucleus cross sections](https://arxiv.org/abs/2305.08217) * [Is infrared-collinear safe information all you need for jet classification?](https://arxiv.org/abs/2305.08979) -* [Gradient Boosting MUST taggers for highly-boosted jets](https://arxiv.org/abs/2305.04957) * [CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation](https://arxiv.org/abs/2305.04847) -* [Searching for dark jets with displaced vertices using weakly supervised machine learning](https://arxiv.org/abs/2305.04372) * [CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation](https://arxiv.org/abs/2305.04646) -* [Tip of the Red Giant Branch Bounds on the Axion-Electron Coupling Revisited](https://arxiv.org/abs/2305.03113) * [Gradient Boosting MUST taggers for highly-boosted jets](https://arxiv.org/abs/2305.04957) * [Searching for dark jets with displaced vertices using weakly supervised machine learning](https://arxiv.org/abs/2305.04372) * [Nuclear corrections on the charged hadron fragmentation functions in a Neural Network global QCD analysis](https://arxiv.org/abs/2305.02664) * [Tip of the Red Giant Branch Bounds on the Axion-Electron Coupling Revisited](https://arxiv.org/abs/2305.03113) -* [Nuclear corrections on the charged hadron fragmentation functions in a Neural Network global QCD analysis](https://arxiv.org/abs/2305.02664) * [$\Sigma$ Resonances from a Neural Network-based Partial Wave Analysis on $K^-p$ Scattering](https://arxiv.org/abs/2305.01852) - -## April 2023 -* [Estimation of collision centrality in terms of the number of participating nucleons in heavy-ion collisions using deep learning](https://arxiv.org/abs/2305.00493) - -## May 2023 -* [MLAnalysis: An open-source program for high energy physics analyses](https://arxiv.org/abs/2305.00964) * [MLAnalysis: An open-source program for high energy physics analyses](https://arxiv.org/abs/2305.00964) ## April 2023 * [Estimation of collision centrality in terms of the number of participating nucleons in heavy-ion collisions using deep learning](https://arxiv.org/abs/2305.00493) * [Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting](https://arxiv.org/abs/2304.14963) -* [A Modern Global Extraction of the Sivers Function](https://arxiv.org/abs/2304.14328) -* [Exploring the flavor structure of quarks and leptons with reinforcement learning](https://arxiv.org/abs/2304.14176) * [Exploring the flavor structure of quarks and leptons with reinforcement learning](https://arxiv.org/abs/2304.14176) * [Machine learning method for $^{12}$C event classification and reconstruction in the active target time-projection chamber](https://arxiv.org/abs/2304.13233) * [A Modern Global Extraction of the Sivers Function](https://arxiv.org/abs/2304.14328)