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The Dark Energy Survey Supernova Program: Light curves and 5-Year data release (2406.05046v1)

Published 7 Jun 2024 in astro-ph.CO

Abstract: We present $griz$ photometric light curves for the full 5 years of the Dark Energy Survey Supernova program (DES-SN), obtained with both forced Point Spread Function (PSF) photometry on Difference Images (DIFFIMG) performed during survey operations, and Scene Modelling Photometry (SMP) on search images processed after the survey. This release contains $31,636$ DIFFIMG and $19,706$ high-quality SMP light curves, the latter of which contains $1635$ photometrically-classified supernovae that pass cosmology quality cuts. This sample spans the largest redshift ($z$) range ever covered by a single SN survey ($0.1<z<1.13$) and is the largest single sample from a single instrument of SNe ever used for cosmological constraints. We describe in detail the improvements made to obtain the final DES-SN photometry and provide a comparison to what was used in the DES-SN3YR spectroscopically-confirmed SN Ia sample. We also include a comparative analysis of the performance of the SMP photometry with respect to the real-time DIFFIMG forced photometry and find that SMP photometry is more precise, more accurate, and less sensitive to the host-galaxy surface brightness anomaly. The public release of the light curves and ancillary data can be found at https://github.com/des-science/DES-SN5YR. Finally, we discuss implications for future transient surveys, such as the forthcoming Vera Rubin Observatory Legacy Survey of Space and Time (LSST).

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Authors (85)
  1. B. O. Sánchez (12 papers)
  2. D. Brout (85 papers)
  3. M. Vincenzi (61 papers)
  4. M. Sako (152 papers)
  5. K. Herner (156 papers)
  6. R. Kessler (117 papers)
  7. T. M. Davis (144 papers)
  8. D. Scolnic (116 papers)
  9. M. Acevedo (6 papers)
  10. J. Lee (451 papers)
  11. A. Möller (80 papers)
  12. H. Qu (114 papers)
  13. L. Kelsey (32 papers)
  14. P. Wiseman (111 papers)
  15. P. Armstrong (20 papers)
  16. B. Rose (13 papers)
  17. R. Camilleri (8 papers)
  18. R. Chen (103 papers)
  19. L. Galbany (321 papers)
  20. E. Kovacs (15 papers)

Summary

Review of AAS Symbols in \LaTeX\ Documentation

This document appears to be an extensive tabulation of symbols often utilized in astronomical journal articles formatted using the American Astronomical Society (AAS) \LaTeX\ macros. It catalogues a comprehensive suite of symbols and notations, ostensibly to serve as references for professionals endeavoring to correctly employ these symbols within the AAS \LaTeX\ class, aastex631. The motivation behind such documentation is to establish a standard for scientific communication, thereby facilitating clarity and consistency in scholarly articles.

The tables in the document are organized according to categories of symbols, including but not limited to accent marks, national symbols, Greek and Hebrew letters, binary operators, miscellaneous symbols, and variable-sized symbols, among others. Each entry in the tables not only presents the symbol itself but also provides the corresponding \LaTeX\ command to generate the symbol within a document.

Key Highlighted Components

  • AAS Symbols: The document's primary focus is on AAS-specific symbols, highlighting symbols such as \lesssim and \gtrsim, which have specific relevance in astronomical contexts.
  • Greek and Hebrew Letters: The inclusion of these characters in various mathematical forms is critical due to their prevalence in equations and variable representations in scientific literature.
  • Binary Operators and Relations: These are intrinsic in expressing mathematical relationships and operations, thus a critical component in any form of scientific computation representation.
  • Miscellaneous Symbols: The utility of symbols such as infinity (\infty) and angle (\angle) is ubiquitous across disciplines, and their usage requires standardized representation, as outlined in this document.

Implications and Future Directions

The availability of such documents is indispensable for researchers and professionals who seek to publish their work in AAS-related journals or conferences. The standardized symbols ensure that articles are uniformly formatted, facilitating peer-review and comprehension. Practically, this significantly reduces ambiguity, particularly when a symbol carries a domain-specific meaning that must be communicated precisely.

From a theoretical standpoint, the organization and maintenance of such symbol libraries suggest a conscious effort towards improving interoperability among different \LaTeX\ packages, by potentially integrating with system-wide repositories or global symbol standards. As the scientific community continues embracing collaborative and open-access formats, the importance of standardized document formatting and symbol usage will concurrently rise. Future enhancements might integrate machine learning techniques to auto-suggest symbols or syntax improvements based on context, further streamlining the creation of scientific documentation.

In conclusion, the document in question provides an essential service to the scientific community, offering clarity and efficiency in producing consistent and high-quality \LaTeX\ documents for AAS journals. Its implications for standardization and potential future advancements highlight the ongoing evolution of scientific documentation practices.

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