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CorrSim: a multiwavelength timing observation simulator [dataset] Open Access

Studying the rapid variability of many astronomical objects is key to understanding the underlying processes at play. However, obtaining data well-suited to this task can be tricky, especially for simultaneous multiwavelength observations. Parameters often have to be fine-tuned while ‘on-site,’ or observations may only be found to not achieve their goals later. Here, we present CorrSim; a program tailored to X-ray Binary analysis, and expandable to many kinds of multiwavelength coordinated observations. CorrSim takes power spectra, coherence, and lags, and returns a simulated multiwavelength observation. The goals of this are: (i) To simulate a potential observation; (ii) To investigate how different Fourier models affect a system’s variability, including data products like cross-correlation functions); and (iii) To simulate existing data and investigate its trustworthiness. We outline CorrSim’s methodology, show how a variety of parameters (e.g. noise sources, observation length, telescope choice) can affect data, and present examples of the software in action. Through CorrSim, we also detail the effects of the length of the data train on Fourier and correlation function uncertainties. We also highlight previous CorrSim modelling, noting that the ‘pre-cognition dip’ seen in X-ray binaries can be constructed by periodic processes, and discuss this result in the wider context.

Descriptions

Resource type

Dataset

Contributors

Creator: Paice, John ¹
Contact person: Paice, John ¹
Data collector: Paice, John ¹
Data curator: Paice, John ¹
Editor: Paice, John ¹
Misra, Ranjeev ²
Gandhi, Poshak ³

¹ Durham University, UK
² IUCAA, India
³ University of Southampton, UK

Funder

Science and Technology Facilities Council
UK-India Education and Research Initiative
European Research Council

Research methods

Other description

The program used to generate these data is available at:  https://github.com/JohnAPaice/CorrSim
.

Keyword

Computing
Astronomy
Software
Data Methods
Rapid Timing Astrophysics
Black Holes

Subject

Astronomy--Computer programs
Astronomy--Computer simulation

Location

Language

Cited in

doi:10.1093/rasti/rzae032

Identifier

ark:/32150/r27h149p905
doi:10.15128/r27h149p905

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

File Details

Depositor

J.A. Paice

Date Uploaded

5 December 2024, 16:12:08

Date Modified

6 December 2024, 09:12:12

Audit Status

Audits have not yet been run on this file.

Characterization

File format: zip (ZIP Format)

Mime type: application/zip

File size: 40469799

Last modified: 2024:12:05 16:59:16+00:00

Filename: PaiceMisraGandhi2024_Data.zip

Original checksum: 6f45b159c67373120d92e5baf97f771d