Examining and presenting cycles in temperature logs from the Vulcan diffractometer

Regan Moreno; Chad Steed; Katherine Engstrom; Erik Schmidt

doi:10.1007/978-3-030-63393-6_29

Examining and presenting cycles in temperature logs from the Vulcan diffractometer

Regan Moreno
, Chad Steed
, Katherine Engstrom
, Erik Schmidt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

As scientific facilities produce more and more data, it is the job of scientists to parse through and present the data in clear, well-formatted, and accurate mediums in order to apply this information to future projects. This was the primary goal when processing the Spallation Neutron Source’s challenge data for the VULCAN diffractometer. The diffractometer generates high-intensity neutron pulses towards a material and the changes in temperature over time are recorded. This information can reveal the molecular structure of the material as well as their behavior under certain conditions and duress. As the material was rapidly heated and cooled, we examine the change in temperature, eliminate stagnant data, and divide information into cycles. Doing so provides insight into the composition and behavior of the material, as well as the diffractometer’s process.

Original language	English
Title of host publication	Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers
Editors	Jeffrey Nichols, Arthur ‘Barney’ Maccabe, Suzanne Parete-Koon, Becky Verastegui, Oscar Hernandez, Theresa Ahearn
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	443-450
Number of pages	8
ISBN (Print)	9783030633929
DOIs	https://doi.org/10.1007/978-3-030-63393-6_29
State	Published - 2021
Event	17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020 - Virtual, Online Duration: Aug 26 2020 → Aug 28 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1315 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020
City	Virtual, Online
Period	08/26/20 → 08/28/20

Keywords

Data visualization
Data wrangling
Neutron science
Time series

Access to Document

10.1007/978-3-030-63393-6_29

Cite this

Moreno, R., Steed, C., Engstrom, K., & Schmidt, E. (2021). Examining and presenting cycles in temperature logs from the Vulcan diffractometer. In J. Nichols, A. B. Maccabe, S. Parete-Koon, B. Verastegui, O. Hernandez, & T. Ahearn (Eds.), Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers (pp. 443-450). (Communications in Computer and Information Science; Vol. 1315 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-63393-6_29

Moreno, Regan ; Steed, Chad ; Engstrom, Katherine et al. / Examining and presenting cycles in temperature logs from the Vulcan diffractometer. Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers. editor / Jeffrey Nichols ; Arthur ‘Barney’ Maccabe ; Suzanne Parete-Koon ; Becky Verastegui ; Oscar Hernandez ; Theresa Ahearn. Springer Science and Business Media Deutschland GmbH, 2021. pp. 443-450 (Communications in Computer and Information Science).

@inproceedings{907e06549bcb45169523a7b2fbf63c26,

title = "Examining and presenting cycles in temperature logs from the Vulcan diffractometer",

abstract = "As scientific facilities produce more and more data, it is the job of scientists to parse through and present the data in clear, well-formatted, and accurate mediums in order to apply this information to future projects. This was the primary goal when processing the Spallation Neutron Source{\textquoteright}s challenge data for the VULCAN diffractometer. The diffractometer generates high-intensity neutron pulses towards a material and the changes in temperature over time are recorded. This information can reveal the molecular structure of the material as well as their behavior under certain conditions and duress. As the material was rapidly heated and cooled, we examine the change in temperature, eliminate stagnant data, and divide information into cycles. Doing so provides insight into the composition and behavior of the material, as well as the diffractometer{\textquoteright}s process.",

keywords = "Data visualization, Data wrangling, Neutron science, Time series",

author = "Regan Moreno and Chad Steed and Katherine Engstrom and Erik Schmidt",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020 ; Conference date: 26-08-2020 Through 28-08-2020",

year = "2021",

doi = "10.1007/978-3-030-63393-6\_29",

language = "English",

isbn = "9783030633929",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Jeffrey Nichols and Maccabe, \{Arthur {\textquoteleft}Barney{\textquoteright}\} and Suzanne Parete-Koon and Becky Verastegui and Oscar Hernandez and Theresa Ahearn",

booktitle = "Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers",

}

Moreno, R, Steed, C, Engstrom, K & Schmidt, E 2021, Examining and presenting cycles in temperature logs from the Vulcan diffractometer. in J Nichols, AB Maccabe, S Parete-Koon, B Verastegui, O Hernandez & T Ahearn (eds), Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1315 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 443-450, 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Virtual, Online, 08/26/20. https://doi.org/10.1007/978-3-030-63393-6_29

Examining and presenting cycles in temperature logs from the Vulcan diffractometer. / Moreno, Regan; Steed, Chad; Engstrom, Katherine et al.
Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers. ed. / Jeffrey Nichols; Arthur ‘Barney’ Maccabe; Suzanne Parete-Koon; Becky Verastegui; Oscar Hernandez; Theresa Ahearn. Springer Science and Business Media Deutschland GmbH, 2021. p. 443-450 (Communications in Computer and Information Science; Vol. 1315 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Examining and presenting cycles in temperature logs from the Vulcan diffractometer

AU - Moreno, Regan

AU - Steed, Chad

AU - Engstrom, Katherine

AU - Schmidt, Erik

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2021

Y1 - 2021

N2 - As scientific facilities produce more and more data, it is the job of scientists to parse through and present the data in clear, well-formatted, and accurate mediums in order to apply this information to future projects. This was the primary goal when processing the Spallation Neutron Source’s challenge data for the VULCAN diffractometer. The diffractometer generates high-intensity neutron pulses towards a material and the changes in temperature over time are recorded. This information can reveal the molecular structure of the material as well as their behavior under certain conditions and duress. As the material was rapidly heated and cooled, we examine the change in temperature, eliminate stagnant data, and divide information into cycles. Doing so provides insight into the composition and behavior of the material, as well as the diffractometer’s process.

AB - As scientific facilities produce more and more data, it is the job of scientists to parse through and present the data in clear, well-formatted, and accurate mediums in order to apply this information to future projects. This was the primary goal when processing the Spallation Neutron Source’s challenge data for the VULCAN diffractometer. The diffractometer generates high-intensity neutron pulses towards a material and the changes in temperature over time are recorded. This information can reveal the molecular structure of the material as well as their behavior under certain conditions and duress. As the material was rapidly heated and cooled, we examine the change in temperature, eliminate stagnant data, and divide information into cycles. Doing so provides insight into the composition and behavior of the material, as well as the diffractometer’s process.

KW - Data visualization

KW - Data wrangling

KW - Neutron science

KW - Time series

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U2 - 10.1007/978-3-030-63393-6_29

DO - 10.1007/978-3-030-63393-6_29

M3 - Conference contribution

AN - SCOPUS:85107294369

SN - 9783030633929

T3 - Communications in Computer and Information Science

SP - 443

EP - 450

BT - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers

A2 - Nichols, Jeffrey

A2 - Maccabe, Arthur ‘Barney’

A2 - Parete-Koon, Suzanne

A2 - Verastegui, Becky

A2 - Hernandez, Oscar

A2 - Ahearn, Theresa

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020

Y2 - 26 August 2020 through 28 August 2020

ER -

Moreno R, Steed C, Engstrom K , Schmidt E. Examining and presenting cycles in temperature logs from the Vulcan diffractometer. In Nichols J, Maccabe AB, Parete-Koon S, Verastegui B, Hernandez O, Ahearn T, editors, Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 443-450. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-63393-6_29

Examining and presenting cycles in temperature logs from the Vulcan diffractometer

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Keywords

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