Elements: Scalable and Automated Atomic Portal - Bridging the Gap Between Research Codes and User Community

要素:可扩展和自动化的原子门户 - 弥合研究代码和用户社区之间的差距

基本信息

  • 批准号:
    2209639
  • 负责人:
  • 金额:
    $ 60万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

In a number of present applications, ranging from studies of fundamental interactions to the development of future technologies, accurate atomic theory is indispensable to the design and interpretation of experiments, with direct experimental measurement of relevant parameters being impossible or infeasible. These data are also in high demand by broader atomic, plasma, astrophysics, and nuclear physics communities. The need for high-precision atomic modeling has increased significantly in recent years with the development of atomic-base quantum technologies for a wide range of fundamental and practical applications. Starting from the prototype codes developed by our group, we will develop open-access atomic software with a user-friendly interface capable of calculating a large volume of high-quality atomic data for various atoms and ions. We will develop a scalable and automated data portal with a convenient interface that will allow for easy addition of data for new elements and updates of data already provided by the portal. Beyond the immediate research and cyberinfrastructure aims of the proposed effort, this project will impact student learning, the broader knowledge base of atomic physicists, the productivity of the larger science community, and the competitiveness of the private sector in atomic physics engineering.This project aims to bridge the gap between the development of atomic physics research codes and the need for data and software by the user community. Further rapid advances in applications involving complex atoms will require accurate knowledge of basic atomic properties, most of which remain highly uncertain and difficult to measure experimentally. Moreover, the lack of a reliable theoretical framework hinders the search for further applications of rich, complex atomic structures. This project provides high-quality atomic data and software in several scientific communities. To meet the needs of the community, we will (1) develop a scalable and sustainable online data portal with an automated interface for easy update and addition of new data, (2) continue the development of open-access atomic software based on our research codes that allow generating large volumes of data with automated accuracy assessments. The portal will provide energies, wavelengths, transition matrix elements, and rates for various transition types, branching ratios, lifetimes, polarizabilities, hyperfine constants, and other data. We plan to make data for over 100 atoms and ions, including high-charged ions, available for the user community by the end of this project. Significant scaling of the portal will require a new level of both atomic code and portal automatization. The new interface will allow easy addition of data for new elements and updates of data already provided by the portal by the physics team of the PI and collaborators to ensure that the portal is sustainable beyond the funding period.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Physics at the Information Frontier in the Division of Physics within the Directorate for Mathematical and Physical Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在目前的许多应用中,从基本相互作用的研究到未来技术的发展,精确的原子理论对于实验的设计和解释是不可或缺的,而相关参数的直接实验测量是不可能或不可行的。这些数据也是更广泛的原子、等离子体、天体物理和核物理界的高需求。近年来,随着原子基量子技术在广泛的基础和实际应用中的发展,对高精度原子建模的需求显著增加。从我们课题组开发的原型代码开始,我们将开发开放访问的原子软件,其用户界面友好,能够计算各种原子和离子的大量高质量原子数据。我们将开发一个具有方便界面的可扩展和自动化的数据门户,以便能够轻松地为新要素添加数据,并更新门户已提供的数据。除了拟议工作的直接研究和网络基础设施目标外,该项目还将影响学生的学习、原子物理学家更广泛的知识基础、更大科学界的生产力以及私营部门在原子物理工程方面的竞争力。该项目旨在弥合原子物理研究代码的开发与用户社区对数据和软件的需求之间的差距。在涉及复杂原子的应用方面的进一步快速进展将需要对基本原子性质的准确知识,其中大多数仍然高度不确定,很难通过实验测量。此外,缺乏可靠的理论框架阻碍了丰富而复杂的原子结构的进一步应用。该项目在几个科学界提供了高质量的原子数据和软件。为了满足社会的需要,我们将(1)开发一个可扩展和可持续发展的在线数据门户,并提供自动化界面,方便更新和添加新数据;(2)根据我们的研究代码,继续开发开放获取的原子软件,以便生成大量数据,并进行自动化的准确性评估。该门户将提供各种跃迁类型、分支比、寿命、极化率、超精细常数和其他数据的能量、波长、跃迁矩阵元素和速率。我们计划在这个项目结束前向用户社区提供100多个原子和离子的数据,其中包括高电荷态离子。门户的显著扩展将需要原子代码和门户自动化的新级别。新的界面将允许轻松地添加新元素的数据,并更新由PI的物理团队和合作者提供的数据,以确保门户网站在资助期后是可持续的。这一奖项由高级网络基础设施办公室联合支持,由数学和物理科学局物理司内的信息前沿物理部物理部。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Marianna Safronova其他文献

Visible M1 transitions in 4f open shell heavy ions observed with an electron beam ion trap
使用电子束离子阱观察到 4f 开壳层重离子中可见的 M1 跃迁
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shunichi Murata;Takayuki Nakajima;Marianna Safronova;Ulyana Safronova and Nobuyuki Nakamura
  • 通讯作者:
    Ulyana Safronova and Nobuyuki Nakamura
Elusive transition spotted in thorium
在钍中发现了难以捉摸的转变
  • DOI:
    10.1038/533044a
  • 发表时间:
    2016-05-04
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Marianna Safronova
  • 通讯作者:
    Marianna Safronova
Measurements of the branching ratios for 6P1/2 decays in Ba+138
Ba 138 中 6P1/2 衰变的支化比的测量
  • DOI:
    10.1103/physreva.100.032503
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    K. Arnold;S. R. Chanu;R. Kaewuam;T. R. Tan;L. Yeo;Zhiqiang Zhang;Marianna Safronova;M. D. Barrett
  • 通讯作者:
    M. D. Barrett
Elusive transition spotted in thorium
在钍中发现了难以捉摸的转变
  • DOI:
    10.1038/533044a
  • 发表时间:
    2016-05-04
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Marianna Safronova
  • 通讯作者:
    Marianna Safronova
Cold atoms in space: community workshop summary and proposed road-map
  • DOI:
    10.1140/epjqt/s40507-022-00147-w
  • 发表时间:
    2022-11-20
  • 期刊:
  • 影响因子:
    5.600
  • 作者:
    Iván Alonso;Cristiano Alpigiani;Brett Altschul;Henrique Araújo;Gianluigi Arduini;Jan Arlt;Leonardo Badurina;Antun Balaž;Satvika Bandarupally;Barry C. Barish;Michele Barone;Michele Barsanti;Steven Bass;Angelo Bassi;Baptiste Battelier;Charles F. A. Baynham;Quentin Beaufils;Aleksandar Belić;Joel Bergé;Jose Bernabeu;Andrea Bertoldi;Robert Bingham;Sébastien Bize;Diego Blas;Kai Bongs;Philippe Bouyer;Carla Braitenberg;Christian Brand;Claus Braxmaier;Alexandre Bresson;Oliver Buchmueller;Dmitry Budker;Luís Bugalho;Sergey Burdin;Luigi Cacciapuoti;Simone Callegari;Xavier Calmet;Davide Calonico;Benjamin Canuel;Laurentiu-Ioan Caramete;Olivier Carraz;Donatella Cassettari;Pratik Chakraborty;Swapan Chattopadhyay;Upasna Chauhan;Xuzong Chen;Yu-Ao Chen;Maria Luisa Chiofalo;Jonathon Coleman;Robin Corgier;J. P. Cotter;A. Michael Cruise;Yanou Cui;Gavin Davies;Albert De Roeck;Marcel Demarteau;Andrei Derevianko;Marco Di Clemente;Goran S. Djordjevic;Sandro Donadi;Olivier Doré;Peter Dornan;Michael Doser;Giannis Drougakis;Jacob Dunningham;Sajan Easo;Joshua Eby;Gedminas Elertas;John Ellis;David Evans;Pandora Examilioti;Pavel Fadeev;Mattia Fanì;Farida Fassi;Marco Fattori;Michael A. Fedderke;Daniel Felea;Chen-Hao Feng;Jorge Ferreras;Robert Flack;Victor V. Flambaum;René Forsberg;Mark Fromhold;Naceur Gaaloul;Barry M. Garraway;Maria Georgousi;Andrew Geraci;Kurt Gibble;Valerie Gibson;Patrick Gill;Gian F. Giudice;Jon Goldwin;Oliver Gould;Oleg Grachov;Peter W. Graham;Dario Grasso;Paul F. Griffin;Christine Guerlin;Mustafa Gündoğan;Ratnesh K. Gupta;Martin Haehnelt;Ekim T. Hanımeli;Leonie Hawkins;Aurélien Hees;Victoria A. Henderson;Waldemar Herr;Sven Herrmann;Thomas Hird;Richard Hobson;Vincent Hock;Jason M. Hogan;Bodil Holst;Michael Holynski;Ulf Israelsson;Peter Jeglič;Philippe Jetzer;Gediminas Juzeliūnas;Rainer Kaltenbaek;Jernej F. Kamenik;Alex Kehagias;Teodora Kirova;Marton Kiss-Toth;Sebastian Koke;Shimon Kolkowitz;Georgy Kornakov;Tim Kovachy;Markus Krutzik;Mukesh Kumar;Pradeep Kumar;Claus Lämmerzahl;Greg Landsberg;Christophe Le Poncin-Lafitte;David R. Leibrandt;Thomas Lévèque;Marek Lewicki;Rui Li;Anna Lipniacka;Christian Lisdat;Mia Liu;J. L. Lopez-Gonzalez;Sina Loriani;Jorma Louko;Giuseppe Gaetano Luciano;Nathan Lundblad;Steve Maddox;M. A. Mahmoud;Azadeh Maleknejad;John March-Russell;Didier Massonnet;Christopher McCabe;Matthias Meister;Tadej Mežnaršič;Salvatore Micalizio;Federica Migliaccio;Peter Millington;Milan Milosevic;Jeremiah Mitchell;Gavin W. Morley;Jürgen Müller;Eamonn Murphy;Özgür E. Müstecaplıoğlu;Val O’Shea;Daniel K. L. Oi;Judith Olson;Debapriya Pal;Dimitris G. Papazoglou;Elizabeth Pasatembou;Mauro Paternostro;Krzysztof Pawlowski;Emanuele Pelucchi;Franck Pereira dos Santos;Achim Peters;Igor Pikovski;Apostolos Pilaftsis;Alexandra Pinto;Marco Prevedelli;Vishnupriya Puthiya-Veettil;John Quenby;Johann Rafelski;Ernst M. Rasel;Cornelis Ravensbergen;Mirko Reguzzoni;Andrea Richaud;Isabelle Riou;Markus Rothacher;Albert Roura;Andreas Ruschhaupt;Dylan O. Sabulsky;Marianna Safronova;Ippocratis D. Saltas;Leonardo Salvi;Muhammed Sameed;Pandey Saurabh;Stefan Schäffer;Stephan Schiller;Manuel Schilling;Vladimir Schkolnik;Dennis Schlippert;Piet O. Schmidt;Harald Schnatz;Jean Schneider;Ulrich Schneider;Florian Schreck;Christian Schubert;Armin Shayeghi;Nathaniel Sherrill;Ian Shipsey;Carla Signorini;Rajeev Singh;Yeshpal Singh;Constantinos Skordis;Augusto Smerzi;Carlos F. Sopuerta;Fiodor Sorrentino;Paraskevas Sphicas;Yevgeny V. Stadnik;Petruta Stefanescu;Marco G. Tarallo;Silvia Tentindo;Guglielmo M. Tino;Jonathan N. Tinsley;Vincenza Tornatore;Philipp Treutlein;Andrea Trombettoni;Yu-Dai Tsai;Philip Tuckey;Melissa A. Uchida;Tristan Valenzuela;Mathias Van Den Bossche;Ville Vaskonen;Gunjan Verma;Flavio Vetrano;Christian Vogt;Wolf von Klitzing;Pierre Waller;Reinhold Walser;Eric Wille;Jason Williams;Patrick Windpassinger;Ulrich Wittrock;Peter Wolf;Marian Woltmann;Lisa Wörner;André Xuereb;Mohamed Yahia;Efe Yazgan;Nan Yu;Nassim Zahzam;Emmanuel Zambrini Cruzeiro;Mingsheng Zhan;Xinhao Zou;Jure Zupan;Erik Zupanič
  • 通讯作者:
    Erik Zupanič

Marianna Safronova的其他文献

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{{ truncateString('Marianna Safronova', 18)}}的其他基金

NSF-BSF: Development of High-Precision Atomic Methods and Dark Matter Searches
NSF-BSF:高精度原子方法和暗物质搜索的发展
  • 批准号:
    2309254
  • 财政年份:
    2023
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
NSF-BSF: High-Precision Atomic Methodologies and New Physics Searches
NSF-BSF:高精度原子方法和新物理搜索
  • 批准号:
    2012068
  • 财政年份:
    2020
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Elements: Community portal for high-precision atomic physics data and computation
Elements:高精度原子物理数据和计算的社区门户
  • 批准号:
    1931339
  • 财政年份:
    2019
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
2017 Atomic Physics GRC: From Quantum Control to Tests of Fundamental Physics
2017年原子物理GRC:从量子控制到基础物理测试
  • 批准号:
    1734244
  • 财政年份:
    2017
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Development of Next-Generation Relativistic Program for All-Order Treatment of Many-Electron Systems
开发用于多电子系统全序处理的下一代相对论程序
  • 批准号:
    1620687
  • 财政年份:
    2016
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Development of a relativistic atomic code for accurate treatment of complex correlations
开发相对论原子代码以准确处理复杂的相关性
  • 批准号:
    1520993
  • 财政年份:
    2015
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Development of Atomic Theory for Tests of Fundamental Symmetries
基本对称性检验的原子理论的发展
  • 批准号:
    1404156
  • 财政年份:
    2014
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Collaborative Research: Development of a Relativistic Atomic Code for Accurate Treatment of Complex Correlations
合作研究:开发用于精确处理复杂相关性的相对论原子代码
  • 批准号:
    1212442
  • 财政年份:
    2012
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
New Directions in Atomic PNC
Atomic PNC 的新方向
  • 批准号:
    1068699
  • 财政年份:
    2011
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
New Directions in Atomic PNC
Atomic PNC 的新方向
  • 批准号:
    0758088
  • 财政年份:
    2008
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant

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