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Lawrence Berkeley National Laboratory  [LBNL]

Parent: United States Department of Energy

Details:

Name Lawrence Berkeley National Laboratory
Acronym LBNL
Country United States of America
Address
Type National Laboratory
Status Active
ROR id (link) https://ror.org/02jbv0t02
Crossref Org ID (link) No Crossref Org ID found
Parent United States Department of Energy

ROR information

ROR ID (link) https://ror.org/02jbv0t02
Primary Name Lawrence Berkeley National Laboratory
Alternative Names Berkeley Lab
Laboratoire national lawrence-berkeley
LBNL
LBL
Country United States
Website(s) http://www.lbl.gov/
https://en.wikipedia.org/wiki/Lawrence_Berkeley_National_Laboratory

Funder Registry instances associated to this Organization:

  • Lawrence Berkeley National Laboratory (LBNL)

24 Publications associated to this Organization :

2024

3 publications

  • Towards a data-driven model of hadronization using normalizing flows
    by Christian Bierlich, Phil Ilten, Tony Menzo, Stephen Mrenna, Manuel Szewc, Michael K. Wilkinson, Ahmed Youssef, Jure Zupan,
    SciPost Phys. 17, 045 (2024)
  • Event generators for high-energy physics experiments
    by J. M. Campbell, M. Diefenthaler, T. J. Hobbs, S. Höche, J. Isaacson, F. Kling, S. Mrenna, J. Reuter, S. Alioli, J. R. Andersen, C. Andreopoulos, A. M. Ankowski, E. C. Aschenauer, A. Ashkenazi, M. D. Baker, J. L. Barrow, M. van Beekveld, G. Bewick, S. Bhattacharya, C. Bierlich, E. Bothmann, P. Bredt, A. Broggio, A. Buckley, A. Butter, J. M. Butterworth, E. P. Byrne, C. M. Carloni-Calame, S. Chakraborty, X. Chen, M. Chiesa, J. T. Childers, J. Cruz-Martinez, J. Currie, N. Darvishi, M. Dasgupta, A. Denner, F. A. Dreyer, S. Dytman, B. K. El-Menoufi, T. Engel, S. Ferrario Ravasio, D. Figueroa, L. Flower, J. R. Forshaw, R. Frederix, A. Friedland, S. Frixione, H. Gallagher, K. Gallmeister, S. Gardiner, R. Gauld, J. Gaunt, A. Gavardi, T. Gehrmann, A. Gehrmann-De Ridder, L. Gellersen, W. Giele, S. Gieseke, F. Giuli, E. W. N. Glover, M. Grazzini, A. Grohsjean, C. Gütschow, K. Hamilton, T. Han, R. Hatcher, G. Heinrich, I. Helenius, O. Hen, V. Hirschi, M. Höfer, J. Holguin, A. Huss, P. Ilten, S. Jadach, A. Jentsch, S. P. Jones, W. Ju, S. Kallweit, A. Karlberg, T. Katori, M. Kerner, W. Kilian, M. M. Kirchgaeßer, S. Klein, M. Knobbe, C. Krause, F. Krauss, J. Lang, J. -N. Lang, G. Lee, S. W. Li, M. A. Lim, J. M. Lindert, D. Lombardi, L. Lönnblad, M. Löschner, N. Lurkin, Y. Ma, P. Machado, V. Magerya, A. Maier, I. Majer, F. Maltoni, M. Marcoli, G. Marinelli, M. R. Masouminia, P. Mastrolia, O. Mattelaer, J. Mazzitelli, J. McFayden, R. Medves, P. Meinzinger, J. Mo, P. F. Monni, G. Montagna, T. Morgan, U. Mosel, B. Nachman, P. Nadolsky, R. Nagar, Z. Nagy, D. Napoletano, P. Nason, T. Neumann, L. J. Nevay, O. Nicrosini, J. Niehues, K. Niewczas, T. Ohl, G. Ossola, V. Pandey, A. Papadopoulou, A. Papaefstathiou, G. Paz, M. Pellen, G. Pelliccioli, T. Peraro, F. Piccinini, L. Pickering, J. Pires, W. Placzek, S. Plätzer, T. Plehn, S. Pozzorini, S. Prestel, C. T. Preuss, A. C. Price, S. Quackenbush, E. Re, D. Reichelt, L. Reina, C. Reuschle, P. Richardson, M. Rocco, N. Rocco, M. Roda, A. Rodriguez Garcia, S. Roiser, J. Rojo, L. Rottoli, G. P. Salam, M. Schönherr, S. Schuchmann, S. Schumann, R. Schürmann, L. Scyboz, M. H. Seymour, F. Siegert, A. Signer, G. Singh Chahal, A. Siódmok, T. Sjöstrand, P. Skands, J. M. Smillie, J. T. Sobczyk, D. Soldin, D. E. Soper, A. Soto-Ontoso, G. Soyez, G. Stagnitto, J. Tena-Vidal, O. Tomalak, F. Tramontano, S. Trojanowski, Z. Tu, S. Uccirati, T. Ullrich, Y. Ulrich, M. Utheim, A. Valassi, A. Verbytskyi, R. Verheyen, M. Wagman, D. Walker, B. R. Webber, L. Weinstein, O. White, J. Whitehead, M. Wiesemann, C. Wilkinson, C. Williams, R. Winterhalder, C. Wret, K. Xie, T-Z. Yang, E. Yazgan, G. Zanderighi, S. Zanoli, K. Zapp,
    SciPost Phys. 16, 130 (2024)
  • High-dimensional and permutation invariant anomaly detection
    by Vinicius Mikuni, Benjamin Nachman,
    SciPost Phys. 16, 062 (2024)

2023

4 publications

  • Snowmass2021 cosmic frontier white paper: Ultraheavy particle dark matter
    by Daniel Carney, Nirmal Raj, Yang Bai, Joshua Berger, Carlos Blanco, Joseph Bramante, Christopher Cappiello, Maíra Dutra, Reza Ebadi, Kristi Engel, Edward Kolb, J. Patrick Harding, Jason Kumar, Gordan Krnjaic, Rafael F. Lang, Rebecca K. Leane, Benjamin V. Lehmann, Shengchao Li, Andrew J. Long, Gopolang Mohlabeng, Ibles Olcina, Elisa Pueschel, Nicholas L. Rodd, Carsten Rott, Dipan Sengupta, Bibhushan Shakya, Ronald L. Walsworth, Shawn Westerdale,
    SciPost Phys. Core 6, 075 (2023)
  • Lattice simulations of non-minimally coupled scalar fields in the Jordan frame
    by Daniel G. Figueroa, Adrien Florio, Toby Opferkuch, and Ben A. Stefanek,
    SciPost Phys. 15, 077 (2023)
  • Statistical patterns of theory uncertainties
    by Aishik Ghosh, Benjamin Nachman, Tilman Plehn, Lily Shire, Tim M. P. Tait, Daniel Whiteson,
    SciPost Phys. Core 6, 045 (2023)
  • Machine learning and LHC event generation
    by Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan,
    SciPost Phys. 14, 079 (2023)

2022

8 publications

  • Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
    by Anja Butter, Sascha Diefenbacher, Gregor Kasieczka, Benjamin Nachman, Tilman Plehn, David Shih, Ramon Winterhalder,
    SciPost Phys. 13, 087 (2022)
  • Computing associators of endomorphism fusion categories
    by Daniel Barter, Jacob C. Bridgeman, Ramona Wolf,
    SciPost Phys. 13, 029 (2022)
  • Measurements of sub-jet fragmentation with ALICE
    by James Mulligan,
    SciPost Phys. Proc. 10, 020 (2022)
  • EXCESS workshop: Descriptions of rising low-energy spectra
    by P. Adari, A. Aguilar-Arevalo, D. Amidei, G. Angloher, E. Armengaud, C. Augier, L. Balogh, S. Banik, D. Baxter, C. Beaufort, G. Beaulieu, V. Belov, Y. Ben Gal, G. Benato, A. Benoît, A. Bento, L. Bergé, A. Bertolini, R. Bhattacharyya, J. Billard, I.M. Bloch, A. Botti, R. Breier, G. Bres, J-.L. Bret, A. Broniatowski, A. Brossard, C. Bucci, R. Bunker, M. Cababie, M. Calvo, P. Camus, G. Cancelo, L. Canonica, F. Cappella, L. Cardani, J.-F. Caron, N. Casali, G.del Castello, A. Cazes, R. Cerulli, B.A. Cervantes Vergara, D. Chaize, M. Chapellier, L. Chaplinsky, F. Charlieux, M. Chaudhuri, A.E. Chavarria, G. Chemin, R. Chen, H. Chen, F. Chierchie, I. Colantoni, J. Colas, J. Cooley, J.-M. Coquillat, E.C. Corcoran, S. Crawford, M. Crisler, A. Cruciani, P. Cushman, A. D'Addabbo, J.C. D'Olivo, A. Dastgheibi-Fard, M. De Jésus, Y. Deng, J.B. Dent, E.L. Depaoli, K. Dering, S. Dharani, S. Di Lorenzo, A. Drlica-Wagner, L. Dumoulin, D. Durnford, B. Dutta, L. Einfalt, A. Erb, A. Erhart, R. Essig, J. Estrada, E. Etzion, O. Exshaw, F. Favela-Perez, F. v. Feilitzsch, G. Fernandez Moroni, N. Ferreiro Iachellini, S. Ferriol, S. Fichtinger, E. Figueroa-Feliciano, J.-B. Filippini, D. Filosofov, J. A. Formaggio, M. Friedl, S. Fuard, D. Fuchs, A. Fuss, R. Gaïor, A. Garai, C. Garrah, J. Gascon , G. Gerbier, M. Ghaith, V.M. Ghete, D. Gift, I. Giomataris, G. Giroux, A. Giuliani, P. Gorel, P. Gorla, C. Goupy, J. Goupy, C. Goy, M. Gros, P. Gros, Y. Guardincerri, C. Guerin, V. Guidi, O. Guillaudin, S. Gupta, E. Guy, P. Harrington, D. Hauff, S. T. Heine, S. A. Hertel, S.E. Holland, Z. Hong, E.W. Hoppe, T.W. Hossbach, J.-C. Ianigro, V. Iyer, A. Jastram, M. Ješkovský, Y. Jin, J. Jochum, J. P. Johnston, A. Juillard, D. Karaivanov, V. Kashyap, I. Katsioulas, S. Kazarcev, M. Kaznacheeva, F. Kelly, B. Kilminster, A. Kinast, L. Klinkenberg, H. Kluck, P. Knights, Y. Korn, H. Kraus, B. von Krosigk, A. Kubik, N.A. Kurinsky, J. Lamblin, A. Langenkämper, S. Langrock, T. Lasserre, H. Lattaud, P. Lautridou, I. Lawson, S.J. Lee, M. Lee, A. Letessier-Selvon, D. Lhuillier, M. Li, Y.-T. Lin, A. Lubashevskiy, R. Mahapatra, S. Maludze, M. Mancuso, I. Manthos, L. Marini, S. Marnieros, R.D. Martin, A. Matalon, J. Matthews, B. Mauri, D. W. Mayer, A. Mazzolari, E. Mazzucato, H. Meyer zu Theenhausen, E. Michielin, J. Minet, N. Mirabolfathi, K. v. Mirbach, D. Misiak, P. Mitra, J-.L. Mocellin, B. Mohanty, V. Mokina, J.-P. Mols, A. Monfardini, F. Mounier, S. Munagavalasa, J.-F. Muraz, X.-F. Navick, T. Neep, H. Neog, H. Neyrial, K. Nikolopoulos, A. Nilima, C. Nones, V. Novati, P. O'Brien, L. Oberauer, E. Olivieri, M. Olmi, A. Onillon, C. Oriol, A. Orly, J.L. Orrell, T. Ortmann, C.T. Overman, C. Pagliarone, V. Palušová, P. Pari, P. K. Patel, L. Pattavina, F. Petricca, A. Piers, H. D. Pinckney, M.-C. Piro, M. Platt, D. Poda, D. Ponomarev, W. Potzel, P. Povinec, F. Pröbst, P. Privitera, F. Pucci, K. Ramanathan, J.-S. Real, T. Redon, F. Reindl, R. Ren, A. Robert, J.Da Rocha, D. Rodrigues, R. Rogly, J. Rothe, N. Rowe, S. Rozov, I. Rozova, T. Saab, N. Saffold, T. Salagnac, J. Sander, V. Sanglard, D. Santos, Y. Sarkis, V. Savu, G. Savvidis, I. Savvidis, S. Schönert, K. Schäffner, N. Schermer, J. Schieck, B. Schmidt, D. Schmiedmayer, C. Schwertner, L. Scola, M. Settimo, Ye. Shevchik, V. Sibille, I. Sidelnik, A. Singal, R. Smida, M. Sofo Haro, T. Soldner, J. Stachurska, M. Stahlberg, L. Stefanazzi, L. Stodolsky, C. Strandhagen, R. Strauss, A. Stutz, R. Thomas, A. Thompson, J. Tiffenberg, C. Tomei, M. Traina, S. Uemura, I. Usherov, L. Vagneron, W. Van De Pontseele, F.A. Vazquez de Sola Fernandez, M. Vidal, M. Vignati, A.L. Virto, M. Vivier, T. Volansky, V. Wagner, F. Wagner, J. Walker, R. Ward, S.L. Watkins, A. Wex, M. Willers, M.J. Wilson, L. Winslow, E. Yakushev, T.-T. Yu, M. Zampaolo, A. Zaytsev, V. Zema, D. Zinatulina, A. Zolotarova,
    SciPost Phys. Proc. 9, 001 (2022)
  • QCD factorization for hadronic quarkonium production at high $p_T$
    by Kyle Lee, Jian-Wei Qiu, George Sterman, Kazuhiro Watanabe,
    SciPost Phys. Proc. 8, 143 (2022)
  • Using coherent dipion photoproduction to image gold nuclei
    by Spencer R. Klein,
    SciPost Phys. Proc. 8, 128 (2022)
  • Structure Functions and Parton Densities: a Session Summary
    by Benjamin Nachman, Katarzyna Wichmann, Pia Zurita,
    SciPost Phys. Proc. 8, 004 (2022)
  • BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators
    by Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, Zachary Marshall,
    SciPost Phys. Core 5, 001 (2022)

2021

3 publications

2020

2 publications

2019

2 publications

  • The Machine Learning landscape of top taggers
    by Gregor Kasieczka, Tilman Plehn, Anja Butter, Kyle Cranmer, Dipsikha Debnath, Barry M. Dillon, Malcolm Fairbairn, Darius A. Faroughy, Wojtek Fedorko, Christophe Gay, Loukas Gouskos, Jernej F. Kamenik, Patrick T. Komiske, Simon Leiss, Alison Lister, Sebastian Macaluso, Eric M. Metodiev, Liam Moore, Ben Nachman, Karl Nordström, Jannicke Pearkes, Huilin Qu, Yannik Rath, Marcel Rieger, David Shih, Jennifer M. Thompson, Sreedevi Varma,
    SciPost Phys. 7, 014 (2019)
  • Searching for muon to electron conversion: The Mu2e experiment at Fermilab
    by Richard Bonventre on behalf of the Mu2e Collaboration,
    SciPost Phys. Proc. 1, 038 (2019)

2018

1 publication

2017

1 publication

Associated Authors:

Fellows affiliated to this Organization

Currently active

  • No fellowship found

Former

  • No fellowship found

Support history

This Organization has not yet supported SciPost.

See also the subsidies from this parent organization:

Balance of SciPost expenditures versus support received

The following Expenditures (Lawrence Berkeley National Laboratory) table compiles the expenditures by SciPost to publish all papers which are associated to Lawrence Berkeley National Laboratory , and weighed by this Organization's PubFracs.

Help! What do these terms mean?
Concept Acronym Definition
Associated Publications An Organization's Associated Publications is the set of papers in which the Organization (or any of its children) is mentioned in author affiliations, or in the acknowledgements as grant-giver or funder.
Number of Associated Publications NAP Number of Associated Publications, compiled (depending on context) for a given year or over many years, for a specific Journal or for many, etc.
Publication Fraction PubFrac A fraction of a unit representing an Organization's "weight" for a given Publication.
The weight is given by the following simple algorithm:
  • First, the unit is split equally among each of the authors.
  • Then, for each author, their part is split equally among their affiliations.
  • The author parts are then binned per Organization.
By construction, any individual paper's PubFracs sum up to 1.
Expenditures We use the term Expenditures to represent the sum of all outflows of money required by our initiative to achieve a certain output (depending on context).
Average Publication Expenditures APEX For a given Journal for a given year, the average expenditures per Publication which our initiative has faced. All our APEX are listed on our APEX page.
Total Associated Expenditures Total expenditures ascribed to an Organization's Associated Publications (given for one or many years, Journals etc depending on context).
PubFrac share The fraction of expenditures which can be associated to an Organization, based on PubFracs. This is defined as APEX times PubFrac, summed over the set of Publications defined by the context (e.g. all Associated Publications of a given Organization for a given Journal in a given year).
Subsidy support Sum of the values of all Subsidies relevant to a given context (for example: from a given Organization in a given year).
Impact on reserves Difference between incoming and outgoing financial resources for the activities under consideration (again defined depending on context).
  • A positive impact on reserves means that our initiative is sustainable (and perhaps even able to grow).
  • A negative impact on reserves means that these activities are effectively depleting our available resources and threatening our sustainability.
Year (click to toggle details) NAP Total associated expenditures PubFrac
share
Subsidy
support
Impact on
reserves
Cumulative 24 €11099 €3082 €0 €-3082
Per year:
3 €1800 €508 €0 €-508

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2024.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €600 3 €1800 0.847 €508
4 €1980 €153 €0 €-153

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2023.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €495 2 €990 0.092 €45
SciPostPhysCore €495 2 €990 0.219 €108
8 €2442 €837 €0 €-837

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2022.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €444 2 €888 0.404 €179
SciPostPhysCore €444 1 €444 0.5 €222
SciPostPhysProc €222 5 €1110 1.964 €436
3 €1926 €449 €0 €-449

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2021.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €642 3 €1926 0.7 €449
2 €1240 €682 €0 €-682

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2020.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €620 2 €1240 1.1 €682
2 €660 €227 €0 €-227

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2019.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €440 1 €440 0.018 €7
SciPostPhysProc €220 1 €220 1.0 €220
1 €730 €146 €0 €-146

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2018.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €730 1 €730 0.2 €146
1 €321 €80 €0 €-80

The following table give an overview of expenditures , compiled for all Publications which are associated to Lawrence Berkeley National Laboratory for 2017.

You can see the list of associated publications under the Publications tab.

Expenditures (Lawrence Berkeley National Laboratory)
Journal APEX NAP Total associated expenditures PubFracs PubFracs expenditures share
SciPostPhys €321 1 €321 0.25 €80