L2LFlows: Generating High-Fidelity 3D Calorimeter Images
This upload contains the datasets used in arXiv:2302.11594. The file g4-showers_950k_10x10_train_val_test.pt contains the 760k training, 95k validation and 95k test showers as well as their incident energies. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -...
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| creator | Shekhzadeh, Imahn Krause, Claudius Diefenbacher, Sascha Shih, David Kasieczka, Gregor Eren, Engin Gaede, Frank |
| description | This upload contains the datasets used in arXiv:2302.11594. The file g4-showers_950k_10x10_train_val_test.pt contains the 760k training, 95k validation and 95k test showers as well as their incident energies. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load(args.file_path) for (idx, tensor) in enumerate(list_tensors): [showers_train, showers_val, showers_test, inc_energies_train, inc_energies_val, inc_energies_test] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The file g4-showers_665k_10x10_test.pt contains 665k additional showers that were used for the classifier scaling studies, in addition to the 95k test showers from the file g4-showers_950k_10x10_train_val_test.pt. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load("g4-showers_950k_10x10_train_val_test.pt") [showers_geant, inc_energies_geant] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A detailed description of how the datasets were simulated can be found in the paper. |
| doi_str_mv | 10.5281/zenodo.8284809 |
| format | Dataset |
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The file g4-showers_950k_10x10_train_val_test.pt contains the 760k training, 95k validation and 95k test showers as well as their incident energies. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load(args.file_path) for (idx, tensor) in enumerate(list_tensors): [showers_train, showers_val, showers_test, inc_energies_train, inc_energies_val, inc_energies_test] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The file g4-showers_665k_10x10_test.pt contains 665k additional showers that were used for the classifier scaling studies, in addition to the 95k test showers from the file g4-showers_950k_10x10_train_val_test.pt. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load("g4-showers_950k_10x10_train_val_test.pt") [showers_geant, inc_energies_geant] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A detailed description of how the datasets were simulated can be found in the paper.</description><identifier>DOI: 10.5281/zenodo.8284809</identifier><language>eng</language><publisher>Zenodo</publisher><subject>Deep Generative Modeling ; High Energy Physics</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.5281/zenodo.8284809$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Shekhzadeh, Imahn</creatorcontrib><creatorcontrib>Krause, Claudius</creatorcontrib><creatorcontrib>Diefenbacher, Sascha</creatorcontrib><creatorcontrib>Shih, David</creatorcontrib><creatorcontrib>Kasieczka, Gregor</creatorcontrib><creatorcontrib>Eren, Engin</creatorcontrib><creatorcontrib>Gaede, Frank</creatorcontrib><title>L2LFlows: Generating High-Fidelity 3D Calorimeter Images</title><description>This upload contains the datasets used in arXiv:2302.11594. The file g4-showers_950k_10x10_train_val_test.pt contains the 760k training, 95k validation and 95k test showers as well as their incident energies. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load(args.file_path) for (idx, tensor) in enumerate(list_tensors): [showers_train, showers_val, showers_test, inc_energies_train, inc_energies_val, inc_energies_test] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The file g4-showers_665k_10x10_test.pt contains 665k additional showers that were used for the classifier scaling studies, in addition to the 95k test showers from the file g4-showers_950k_10x10_train_val_test.pt. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load("g4-showers_950k_10x10_train_val_test.pt") [showers_geant, inc_energies_geant] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A detailed description of how the datasets were simulated can be found in the paper.</description><subject>Deep Generative Modeling</subject><subject>High Energy Physics</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2023</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNotzz1PwzAUhWEvDKiwMvsPJMRf8TUbCqStFIkBdusmvg6W0gQlllD59YDa6WyvzsPYg6hKI0E8_tC8hKUECRoqd8ugk107Ld_bE9_TTCvmNI_8kMbPok2BppTPXL3wBqdlTSfKtPLjCUfa7thNxGmj--vu2Hv7-tEciu5tf2yeuyJY5wqBUMcwkNBamthbcgYUoKtFtKido4hAfQxi0KKvSJlQS2XB1E4Ha4PasfJSDZhxSJn8198NXM9eVP4f5C8gfwWpX0HgRIg</recordid><startdate>20230826</startdate><enddate>20230826</enddate><creator>Shekhzadeh, Imahn</creator><creator>Krause, Claudius</creator><creator>Diefenbacher, Sascha</creator><creator>Shih, David</creator><creator>Kasieczka, Gregor</creator><creator>Eren, Engin</creator><creator>Gaede, Frank</creator><general>Zenodo</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20230826</creationdate><title>L2LFlows: Generating High-Fidelity 3D Calorimeter Images</title><author>Shekhzadeh, Imahn ; Krause, Claudius ; Diefenbacher, Sascha ; Shih, David ; Kasieczka, Gregor ; Eren, Engin ; Gaede, Frank</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d799-1a86fdce14425fb7e95838a961f7a499efa8ebfd1c41b0e35d623785694d77d3</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Deep Generative Modeling</topic><topic>High Energy Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Shekhzadeh, Imahn</creatorcontrib><creatorcontrib>Krause, Claudius</creatorcontrib><creatorcontrib>Diefenbacher, Sascha</creatorcontrib><creatorcontrib>Shih, David</creatorcontrib><creatorcontrib>Kasieczka, Gregor</creatorcontrib><creatorcontrib>Eren, Engin</creatorcontrib><creatorcontrib>Gaede, Frank</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shekhzadeh, Imahn</au><au>Krause, Claudius</au><au>Diefenbacher, Sascha</au><au>Shih, David</au><au>Kasieczka, Gregor</au><au>Eren, Engin</au><au>Gaede, Frank</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>L2LFlows: Generating High-Fidelity 3D Calorimeter Images</title><date>2023-08-26</date><risdate>2023</risdate><abstract>This upload contains the datasets used in arXiv:2302.11594. The file g4-showers_950k_10x10_train_val_test.pt contains the 760k training, 95k validation and 95k test showers as well as their incident energies. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load(args.file_path) for (idx, tensor) in enumerate(list_tensors): [showers_train, showers_val, showers_test, inc_energies_train, inc_energies_val, inc_energies_test] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The file g4-showers_665k_10x10_test.pt contains 665k additional showers that were used for the classifier scaling studies, in addition to the 95k test showers from the file g4-showers_950k_10x10_train_val_test.pt. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - import torch list_tensors = torch.load("g4-showers_950k_10x10_train_val_test.pt") [showers_geant, inc_energies_geant] = list_tensors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A detailed description of how the datasets were simulated can be found in the paper.</abstract><pub>Zenodo</pub><doi>10.5281/zenodo.8284809</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.5281/zenodo.8284809 |
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| language | eng |
| recordid | cdi_datacite_primary_10_5281_zenodo_8284809 |
| source | DataCite |
| subjects | Deep Generative Modeling High Energy Physics |
| title | L2LFlows: Generating High-Fidelity 3D Calorimeter Images |
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