Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c)

Ivano Baronchelli; C. M. Scarlata; L. Rodríguez-Muñoz; M. Bonato; L. Morselli; M. Vaccari; R. Carraro; L. Barrufet; A. Henry; Vihang Mehta; G. Rodighiero; A. Baruffolo; M. Bagley; A. Battisti; J. Colbert; Y. S. Dai; M. De Pascale; Hugh J Dickinson; M. Malkan; C. Mancini; M. Rafelski; H. I. Teplitz

doi:10.3847/1538-4365/ac9963

Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c)

Ivano Baronchelli
, C. M. Scarlata
, L. Rodríguez-Muñoz
, M. Bonato
, L. Morselli
, M. Vaccari
, R. Carraro
, L. Barrufet
, A. Henry
, Vihang Mehta
, G. Rodighiero
, A. Baruffolo
, M. Bagley
, A. Battisti
, J. Colbert
, Y. S. Dai
, M. De Pascale
, Hugh J Dickinson
, M. Malkan
, C. Mancini

M. Rafelski, H. I. Teplitz

Physics and Astronomy (Twin Cities)

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Due to an error at the publisher two symbol errors were introduced. 1. In Section 3.1, in list item 1 “Data samples that are similar in a sufficiently large amount of independent dimensions (N=) tend to be similar also when considering an additional independent dimension (N + 1).” the = symbol should be replaced by ?. 2. In Section 3.2.1, paragraph 3, in “Conversely, the magnitude of a source would not play any role when trying to identify the “most similar” data points in the N-dimensional space, as (Equation presented). IOP Publishing sincerely regrets these errors.

Original language	English (US)
Article number	19
Journal	Astrophysical Journal, Supplement Series
Volume	263
Issue number	1
DOIs	https://doi.org/10.3847/1538-4365/ac9963
State	Published - Nov 1 2022

Bibliographical note

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© 2022. The Author(s). Published by the American Astronomical Society.

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Baronchelli, I., Scarlata, C. M., Rodríguez-Muñoz, L., Bonato, M., Morselli, L., Vaccari, M., Carraro, R., Barrufet, L., Henry, A., Mehta, V., Rodighiero, G., Baruffolo, A., Bagley, M., Battisti, A., Colbert, J., Dai, Y. S., De Pascale, M., Dickinson, H. J., Malkan, M., ... Teplitz, H. I. (2022). Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c). Astrophysical Journal, Supplement Series, 263(1), Article 19. https://doi.org/10.3847/1538-4365/ac9963

Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c). / Baronchelli, Ivano; Scarlata, C. M.; Rodríguez-Muñoz, L. et al.
In: Astrophysical Journal, Supplement Series, Vol. 263, No. 1, 19, 01.11.2022.

Research output: Contribution to journal › Comment/debate › peer-review

Baronchelli, I, Scarlata, CM, Rodríguez-Muñoz, L, Bonato, M, Morselli, L, Vaccari, M, Carraro, R, Barrufet, L, Henry, A, Mehta, V, Rodighiero, G, Baruffolo, A, Bagley, M, Battisti, A, Colbert, J, Dai, YS, De Pascale, M, Dickinson, HJ, Malkan, M, Mancini, C, Rafelski, M & Teplitz, HI 2022, 'Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c)', Astrophysical Journal, Supplement Series, vol. 263, no. 1, 19. https://doi.org/10.3847/1538-4365/ac9963

Baronchelli I, Scarlata CM, Rodríguez-Muñoz L, Bonato M, Morselli L, Vaccari M et al. Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c). Astrophysical Journal, Supplement Series. 2022 Nov 1;263(1):19. doi: 10.3847/1538-4365/ac9963

Baronchelli, Ivano ; Scarlata, C. M. ; Rodríguez-Muñoz, L. et al. / Erratum : Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c). In: Astrophysical Journal, Supplement Series. 2022 ; Vol. 263, No. 1.

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abstract = "Due to an error at the publisher two symbol errors were introduced. 1. In Section 3.1, in list item 1 {\textquotedblleft}Data samples that are similar in a sufficiently large amount of independent dimensions (N=) tend to be similar also when considering an additional independent dimension (N + 1).{\textquotedblright} the = symbol should be replaced by ?. 2. In Section 3.2.1, paragraph 3, in {\textquotedblleft}Conversely, the magnitude of a source would not play any role when trying to identify the {\textquotedblleft}most similar{\textquotedblright} data points in the N-dimensional space, as (Equation presented). IOP Publishing sincerely regrets these errors.",

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AU - Baruffolo, A.

AU - Bagley, M.

AU - Battisti, A.

AU - Colbert, J.

AU - Dai, Y. S.

AU - De Pascale, M.

AU - Dickinson, Hugh J

AU - Malkan, M.

AU - Mancini, C.

AU - Rafelski, M.

AU - Teplitz, H. I.

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Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c)

Abstract

Bibliographical note

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