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The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

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The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae. / Aleo, Patrick D.; Malanchev, Konstantin; Sharief, Sammy et al.
In: The Astrophysical Journal Supplement Series, Vol. 266, No. 1, 9, 01.05.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Aleo, PD, Malanchev, K, Sharief, S, Jones, D, Narayan, G, Foley, R, Villar, VA, Angus, C, Baldassare, V, Rosell, MJB, Chatterjee, D, Cold, C, Coulter, D, Davis, K, Dhawan, S, Drout, M, Engel, A, French, KD, Gagliano, A, Gall, C, Hjorth, J, Huber, ME, Jacobson-Galan, W, Kilpatrick, C, Langeroodi, D, Macias, P, Mandel, K, Margutti, R, Matasic, F, McGill, P, Pierel, JR, Ramirez-Ruiz, E, Ransome, C, Rojas-Bravo, C, Siebert, M, Smith, KW, de Soto, K, Stroh, M, Tinyanont, S, Taggart, K, Ward, S, Wojtak, R, Auchettl, K, Blanchard, P, de Boer, T, Boyd, BM, Carroll, CM, Chambers, KC, DeMarchi, L, Dimitriadis, G, Dodd, S, Earl, N, Farias, D, Gao, H, Gomez, S, Grayling, M, Grillo, C, Hayes, EE, Hung, T, Izzo, L, Khetan, N, Kolborg, AN, Law-Smith, JAP, LeBaron, N, (林建爭), C-CL, Luo, Y, Magnier, E, Matthews, D, Mockler, B, O'Grady, A, Pan, Y-C, Politsch, CA, Raimundo, S, Rest, A, Ridden-Harper, R, Sarangi, A, Schrøder, SL, Smartt, S, Terreran, G, Thorp, S, vazquez, J, Wainscoat, R, Wang, Q, Wasserman, A, Yadavalli, SK, Yarza, R, zenati, Y & Experiment, YS 2023, 'The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae', The Astrophysical Journal Supplement Series, vol. 266, no. 1, 9. https://doi.org/10.3847/1538-4365/acbfba

APA

Aleo, P. D., Malanchev, K., Sharief, S., Jones, D., Narayan, G., Foley, R., Villar, V. A., Angus, C., Baldassare, V., Rosell, M. J. B., Chatterjee, D., Cold, C., Coulter, D., Davis, K., Dhawan, S., Drout, M., Engel, A., French, K. D., Gagliano, A., ... Experiment, Y. S. (2023). The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae. The Astrophysical Journal Supplement Series, 266(1), Article 9. https://doi.org/10.3847/1538-4365/acbfba

Vancouver

Aleo PD, Malanchev K, Sharief S, Jones D, Narayan G, Foley R et al. The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae. The Astrophysical Journal Supplement Series. 2023 May 1;266(1):9. doi: 10.3847/1538-4365/acbfba

Author

Aleo, Patrick D. ; Malanchev, Konstantin ; Sharief, Sammy et al. / The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae. In: The Astrophysical Journal Supplement Series. 2023 ; Vol. 266, No. 1.

Bibtex

@article{0cd5448811944b668587f8932e9fc020,
title = "The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae",
abstract = "We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host-galaxy associations, redshifts, spectroscopic and/or photometric classifications, and additional data products from 2019 November 24 to 2021 December 20. YSE DR1 spans discoveries and observations from young and fast-rising supernovae (SNe) to transients that persist for over a year, with a redshift distribution reaching z ≈ 0.5. We present relative SN rates from YSE's magnitude- and volume-limited surveys, which are consistent with previously published values within estimated uncertainties for untargeted surveys. We combine YSE and ZTF data, and create multisurvey SN simulations to train the ParSNIP and SuperRAENN photometric classification algorithms; when validating our ParSNIP classifier on 472 spectroscopically classified YSE DR1 SNe, we achieve 82% accuracy across three SN classes (SNe Ia, II, Ib/Ic) and 90% accuracy across two SN classes (SNe Ia, core-collapse SNe). Our classifier performs particularly well on SNe Ia, with high (>90%) individual completeness and purity, which will help build an anchor photometric SNe Ia sample for cosmology. We then use our photometric classifier to characterize our photometric sample of 1483 SNe, labeling 1048 (∼71%) SNe Ia, 339 (∼23%) SNe II, and 96 (∼6%) SNe Ib/Ic. YSE DR1 provides a training ground for building discovery, anomaly detection, and classification algorithms, performing cosmological analyses, understanding the nature of red and rare transients, exploring tidal disruption events and nuclear variability, and preparing for the forthcoming Vera C. Rubin Observatory Legacy Survey of Space and Time.",
author = "Aleo, {Patrick D.} and Konstantin Malanchev and Sammy Sharief and David Jones and Gautham Narayan and Ryan Foley and Villar, {Victoria Ashley} and Charlotte Angus and Vivienne Baldassare and Rosell, {Mar{\'i}a Jos{\'e} Bustamante} and Deep Chatterjee and Cecilie Cold and David Coulter and Kyle Davis and Suhail Dhawan and Maria Drout and Andrew Engel and French, {K. Decker} and Alexander Gagliano and Christa Gall and Jens Hjorth and Huber, {Mark E.} and Wynn Jacobson-Galan and Charles Kilpatrick and Danial Langeroodi and Phillip Macias and Kaisey Mandel and Raffaella Margutti and Filip Matasic and Peter McGill and Pierel, {Justin R.} and Enrico Ramirez-Ruiz and Conor Ransome and Cesar Rojas-Bravo and Matthew Siebert and Smith, {Ken W} and {de Soto}, Kaylee and Michael Stroh and Samaporn Tinyanont and Kirsty Taggart and Sam Ward and Radoslaw Wojtak and Katie Auchettl and Peter Blanchard and {de Boer}, Thomas and Boyd, {Benjamin M.} and Carroll, {Christopher M.} and Chambers, {K. C.} and Lindsay DeMarchi and Georgios Dimitriadis and Sierra Dodd and Nicholas Earl and Diego Farias and Hua Gao and Sebastian Gomez and Matthew Grayling and Claudio Grillo and Hayes, {Erin E} and Tiara Hung and Luca Izzo and Nandita Khetan and Kolborg, {Anne Noer} and Law-Smith, {Jamie A.P.} and N. LeBaron and (林建爭), {Chien-Cheng Lin} and Yufeng Luo and Eugene Magnier and David Matthews and Brenna Mockler and Anna O'Grady and Yen-Chen Pan and Politsch, {Collin A.} and Sandra Raimundo and Armin Rest and Ryan Ridden-Harper and Arkaprabha Sarangi and Schr{\o}der, {Sophie Lund} and Stephen Smartt and Giacomo Terreran and S. Thorp and jason vazquez and Richard Wainscoat and Qinan Wang and Amanda Wasserman and Yadavalli, {S. Karthik} and Ricardo Yarza and Yossef zenati and Experiment, {Young Supernova}",
year = "2023",
month = may,
day = "1",
doi = "10.3847/1538-4365/acbfba",
language = "English",
volume = "266",
journal = "The Astrophysical Journal Supplement Series",
issn = "0067-0049",
publisher = "IOP Publishing Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

AU - Aleo, Patrick D.

AU - Malanchev, Konstantin

AU - Sharief, Sammy

AU - Jones, David

AU - Narayan, Gautham

AU - Foley, Ryan

AU - Villar, Victoria Ashley

AU - Angus, Charlotte

AU - Baldassare, Vivienne

AU - Rosell, María José Bustamante

AU - Chatterjee, Deep

AU - Cold, Cecilie

AU - Coulter, David

AU - Davis, Kyle

AU - Dhawan, Suhail

AU - Drout, Maria

AU - Engel, Andrew

AU - French, K. Decker

AU - Gagliano, Alexander

AU - Gall, Christa

AU - Hjorth, Jens

AU - Huber, Mark E.

AU - Jacobson-Galan, Wynn

AU - Kilpatrick, Charles

AU - Langeroodi, Danial

AU - Macias, Phillip

AU - Mandel, Kaisey

AU - Margutti, Raffaella

AU - Matasic, Filip

AU - McGill, Peter

AU - Pierel, Justin R.

AU - Ramirez-Ruiz, Enrico

AU - Ransome, Conor

AU - Rojas-Bravo, Cesar

AU - Siebert, Matthew

AU - Smith, Ken W

AU - de Soto, Kaylee

AU - Stroh, Michael

AU - Tinyanont, Samaporn

AU - Taggart, Kirsty

AU - Ward, Sam

AU - Wojtak, Radoslaw

AU - Auchettl, Katie

AU - Blanchard, Peter

AU - de Boer, Thomas

AU - Boyd, Benjamin M.

AU - Carroll, Christopher M.

AU - Chambers, K. C.

AU - DeMarchi, Lindsay

AU - Dimitriadis, Georgios

AU - Dodd, Sierra

AU - Earl, Nicholas

AU - Farias, Diego

AU - Gao, Hua

AU - Gomez, Sebastian

AU - Grayling, Matthew

AU - Grillo, Claudio

AU - Hayes, Erin E

AU - Hung, Tiara

AU - Izzo, Luca

AU - Khetan, Nandita

AU - Kolborg, Anne Noer

AU - Law-Smith, Jamie A.P.

AU - LeBaron, N.

AU - (林建爭), Chien-Cheng Lin

AU - Luo, Yufeng

AU - Magnier, Eugene

AU - Matthews, David

AU - Mockler, Brenna

AU - O'Grady, Anna

AU - Pan, Yen-Chen

AU - Politsch, Collin A.

AU - Raimundo, Sandra

AU - Rest, Armin

AU - Ridden-Harper, Ryan

AU - Sarangi, Arkaprabha

AU - Schrøder, Sophie Lund

AU - Smartt, Stephen

AU - Terreran, Giacomo

AU - Thorp, S.

AU - vazquez, jason

AU - Wainscoat, Richard

AU - Wang, Qinan

AU - Wasserman, Amanda

AU - Yadavalli, S. Karthik

AU - Yarza, Ricardo

AU - zenati, Yossef

AU - Experiment, Young Supernova

PY - 2023/5/1

Y1 - 2023/5/1

N2 - We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host-galaxy associations, redshifts, spectroscopic and/or photometric classifications, and additional data products from 2019 November 24 to 2021 December 20. YSE DR1 spans discoveries and observations from young and fast-rising supernovae (SNe) to transients that persist for over a year, with a redshift distribution reaching z ≈ 0.5. We present relative SN rates from YSE's magnitude- and volume-limited surveys, which are consistent with previously published values within estimated uncertainties for untargeted surveys. We combine YSE and ZTF data, and create multisurvey SN simulations to train the ParSNIP and SuperRAENN photometric classification algorithms; when validating our ParSNIP classifier on 472 spectroscopically classified YSE DR1 SNe, we achieve 82% accuracy across three SN classes (SNe Ia, II, Ib/Ic) and 90% accuracy across two SN classes (SNe Ia, core-collapse SNe). Our classifier performs particularly well on SNe Ia, with high (>90%) individual completeness and purity, which will help build an anchor photometric SNe Ia sample for cosmology. We then use our photometric classifier to characterize our photometric sample of 1483 SNe, labeling 1048 (∼71%) SNe Ia, 339 (∼23%) SNe II, and 96 (∼6%) SNe Ib/Ic. YSE DR1 provides a training ground for building discovery, anomaly detection, and classification algorithms, performing cosmological analyses, understanding the nature of red and rare transients, exploring tidal disruption events and nuclear variability, and preparing for the forthcoming Vera C. Rubin Observatory Legacy Survey of Space and Time.

AB - We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host-galaxy associations, redshifts, spectroscopic and/or photometric classifications, and additional data products from 2019 November 24 to 2021 December 20. YSE DR1 spans discoveries and observations from young and fast-rising supernovae (SNe) to transients that persist for over a year, with a redshift distribution reaching z ≈ 0.5. We present relative SN rates from YSE's magnitude- and volume-limited surveys, which are consistent with previously published values within estimated uncertainties for untargeted surveys. We combine YSE and ZTF data, and create multisurvey SN simulations to train the ParSNIP and SuperRAENN photometric classification algorithms; when validating our ParSNIP classifier on 472 spectroscopically classified YSE DR1 SNe, we achieve 82% accuracy across three SN classes (SNe Ia, II, Ib/Ic) and 90% accuracy across two SN classes (SNe Ia, core-collapse SNe). Our classifier performs particularly well on SNe Ia, with high (>90%) individual completeness and purity, which will help build an anchor photometric SNe Ia sample for cosmology. We then use our photometric classifier to characterize our photometric sample of 1483 SNe, labeling 1048 (∼71%) SNe Ia, 339 (∼23%) SNe II, and 96 (∼6%) SNe Ib/Ic. YSE DR1 provides a training ground for building discovery, anomaly detection, and classification algorithms, performing cosmological analyses, understanding the nature of red and rare transients, exploring tidal disruption events and nuclear variability, and preparing for the forthcoming Vera C. Rubin Observatory Legacy Survey of Space and Time.

U2 - 10.3847/1538-4365/acbfba

DO - 10.3847/1538-4365/acbfba

M3 - Journal article

VL - 266

JO - The Astrophysical Journal Supplement Series

JF - The Astrophysical Journal Supplement Series

SN - 0067-0049

IS - 1

M1 - 9

ER -