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

P. D. Aleo; K. Malanchev; S. Sharief; D. O. Jones; G. Narayan; R. J. Foley; V. A. Villar; C. R. Angus; V. F. Baldassare; M. J. Bustamante-Rosell; D. Chatterjee; C. Cold; D. A. Coulter; K. W. Davis; S. Dhawan; M. R. Drout; A. Engel; K. D. French; A. Gagliano; C. Gall; J. Hjorth; M. E. Huber; W. V. Jacobson-Galán; C. D. Kilpatrick; D. Langeroodi; P. Macias; K. S. Mandel; R. Margutti; F. Matasić; P. McGill; J. D.R. Pierel; E. Ramirez-Ruiz; C. L. Ransome; C. Rojas-Bravo; M. R. Siebert; K. W. Smith; K. M. De Soto; M. C. Stroh; S. Tinyanont; K. Taggart; S. M. Ward; R. Wojtak; K. Auchettl; P. K. Blanchard; T. J.L. De Boer; B. M. Boyd; C. M. Carroll; K. C. Chambers; L. Demarchi; G. Dimitriadis; S. A. Dodd; N. Earl; D. Farias; H. Gao; S. Gomez; M. Grayling; C. Grillo; E. E. Hayes; T. Hung; L. Izzo; N. Khetan; A. N. Kolborg; J. A.P. Law-Smith; N. Lebaron; C. C. Lin; Y. Luo; E. A. Magnier; D. Matthews; B. Mockler; A. J.G. O'Grady; Y. C. Pan; C. A. Politsch; S. I. Raimundo; A. Rest; R. Ridden-Harper; A. Sarangi; S. L. Schrøder; S. J. Smartt; G. Terreran; S. Thorp; J. Vazquez; R. J. Wainscoat; Q. Wang; A. R. Wasserman; S. K. Yadavalli; R. Yarza; Y. Zenati

doi:10.3847/1538-4365/acbfba

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

P. D. Aleo, K. Malanchev, S. Sharief, D. O. Jones, G. Narayan, R. J. Foley, V. A. Villar, C. R. Angus, V. F. Baldassare, M. J. Bustamante-Rosell, D. Chatterjee, C. Cold, D. A. Coulter, K. W. Davis, S. Dhawan, M. R. Drout, A. Engel, K. D. French, A. Gagliano, C. GallJ. Hjorth, M. E. Huber, W. V. Jacobson-Galán, C. D. Kilpatrick, D. Langeroodi, P. Macias, K. S. Mandel, R. Margutti, F. Matasić, P. McGill, J. D.R. Pierel, E. Ramirez-Ruiz, C. L. Ransome, C. Rojas-Bravo, M. R. Siebert, K. W. Smith, K. M. De Soto, M. C. Stroh, S. Tinyanont, K. Taggart, S. M. Ward, R. Wojtak, K. Auchettl, P. K. Blanchard, T. J.L. De Boer, B. M. Boyd, C. M. Carroll, K. C. Chambers, L. Demarchi, G. Dimitriadis, S. A. Dodd, N. Earl, D. Farias, H. Gao, S. Gomez, M. Grayling, C. Grillo, E. E. Hayes, T. Hung, L. Izzo, N. Khetan, A. N. Kolborg, J. A.P. Law-Smith, N. Lebaron, C. C. Lin, Y. Luo, E. A. Magnier, D. Matthews, B. Mockler, A. J.G. O'Grady, Y. C. Pan, C. A. Politsch, S. I. Raimundo, A. Rest, R. Ridden-Harper, A. Sarangi, S. L. Schrøder, S. J. Smartt, G. Terreran, S. Thorp, J. Vazquez, R. J. Wainscoat, Q. Wang, A. R. Wasserman, S. K. Yadavalli, R. Yarza, Y. Zenati

CIERA - Center for Interdisciplinary Exploration and Research in Astrophysics

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

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.

Original language	English (US)
Article number	9
Journal	Astrophysical Journal, Supplement Series
Volume	266
Issue number	1
DOIs	https://doi.org/10.3847/1538-4365/acbfba
State	Published - May 1 2023

Funding

The Young Supernova Experiment (YSE) and its research infrastructure are supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC grant agreement 101002652, PI K. Mandel), the Heising-Simons Foundation (2018-0913, PI R. Foley; 2018-0911, PI R. Margutti), NASA (NNG17PX03C, PI R. Foley), NSF (AST-1720756, AST-1815935, PI R. Foley; AST-1909796, AST-1944985, PI R. Margutti), the David & Lucille Packard Foundation (PI R. Foley), VILLUM FONDEN (project 16599, PI J. Hjorth), and the Center for AstroPhysical Surveys (CAPS) at the National Center for Supercomputing Applications (NCSA) and the University of Illinois Urbana-Champaign. This work utilizes resources supported by the National Science Foundations Major Research Instrumentation program, grant No. 1725729, as well as the University of Illinois at Urbana-Champaign. Parts of this research were supported by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project No. CE170100013. This work was supported by a VILLUM FONDEN Investigator grant (project No. 16599). This research also used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231. Parts of this work are based on observations obtained with the Samuel Oschin Telescope 48 inch and the 60 inch telescope at the Palomar Observatory as part of the Zwicky Transient Facility project. The ZTF is supported by the National Science Foundation under grants No. AST–1440341 and AST–2034437 and a collaboration including current partners Caltech, IPAC, the Weizmann Institute of Science, the Oskar Klein Center at Stockholm University, the University of Maryland, Deutsches Elektronen-Synchrotron and Humboldt University, the TANGO Consortium of Taiwan, the University of Wisconsin at Milwaukee, Trinity College Dublin, Lawrence Livermore National Laboratories, IN2P3, University of Warwick, Ruhr University Bochum, Northwestern University and former partners the University of Washington, Los Alamos National Laboratories, and Lawrence Berkeley National Laboratories. Operations are conducted by Caltech Optical Observatories, IPAC, and the University of Washington. The ZTF forced-photometry service was funded under the Heising–Simons Foundation grant No. 12540303 (PI: Graham). P.D.A. is supported by the Illinois Survey Science Graduate Fellowship from the Center for AstroPhysical Surveys (CAPS) 84 Pan-STARRS is a project of the Institute for Astronomy of the University of Hawaii, and is supported by the NASA Solar System Observations Near Earth Observation Program under grants 80NSSC18K0971, NNX14AM74G, NNX12AR65G, NNX13AQ47G, NNX08AR22G, 80NSSC21K1572 and by the State of Hawaii. The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen’s University Belfast, the Harvard–Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, STScI, NASA under grant NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, NSF grant AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation. We welcome external collaborators; our external scientist policy, together with a guide to the application, can be found at https://yse.ucsc.edu/collaborate/ . at the National Center for Supercomputing Applications (NCSA). P.D.A. is grateful to Richard Kessler for help with using SNANA. D.O.J. is supported by NASA through Hubble Fellowship grant HF2-51462.001 awarded by the Space Telescope Science Institute (STScI), which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. The UCSC team is supported in part by NASA grant 80NSSC20K0953, NSF grant AST–1815935, the Gordon & Betty Moore Foundation, the Heising-Simons Foundation, and by a fellowship from the David and Lucile Packard Foundation to R.J.F. V.A.V. acknowledges support by the NSF through grant AST–2108676. C.R.A. was supported by a VILLUM FONDEN Investigator grant (project No. 16599) and by a VILLUM FONDEN Young Investigator grant (project No. 25501). D.A.C. acknowledges support from the National Science Foundation Graduate Research Fellowship under grant DGE–1339067. M.R.D. acknowledges support from the NSERC through grant RGPIN-2019-06186, the Canada Research Chairs Program, the Canadian Institute for Advanced Research (CIFAR), and the Dunlap Institute at the University of Toronto. K.D.F. acknowledges support from NSF grant AST–2206164. A.G. acknowledges support from the Flatiron Institute Center for Computational Astrophysics Pre-Doctoral Fellowship Program in Spring 2022. A.G. is also supported by the Illinois Distinguished Fellowship, the National Science Foundation Graduate Research Fellowship Program under grant No. DGE–1746047, and the Center for Astrophysical Surveys Graduate Fellowship at the University of Illinois. C.G. is supported by a VILLUM FONDEN Young Investigator grant (project No. 25501). W.J.-G. is supported by the National Science Foundation Graduate Research Fellowship Program under grant No. DGE–1842165. W.J.-G. acknowledges support through NASA grants in support of Hubble Space Telescope programs GO–16075 and GO–16500. A.N.K. gratefully acknowledges support by Heising-Simons Foundation, the Danish National Research Foundation (DNRF132) and NSF (AST-1911206 and AST-1852393). C.D.K. is supported by a CIERA postdoctoral fellowship and acknowledges support from NASA grants for HST-AR-16136. K.S.M.'s Cambridge group acknowledges funding from the European Research Council under the European Unions Horizon 2020 research and innovation program (ERC grant agreement No. 101002652) and through the ASTROSTAT-II collaboration, enabled by the Horizon 2020, EU grant agreement No. 873089. S.M.W., S.T., and B.M.B. are supported by the UK Science and Technology Facilities Council (STFC). E.E.H. acknowledges support from the Gates Cambridge Trust. M.R.S. is supported by the STScI Postdoctoral Fellowship. C.G. acknowledges support by VILLUM FONDEN Young Investigator Programme through grant No. 10123 and by MIUR through grant 2020SKSTHZ. L.I. was supported by a grant from VILLUM FONDEN (project Nos. 25501 and 16599) S.I.R. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 891744 S.J.S. and K.W.S. acknowledge funding from STFC grants ST/T000198/1 and ST/S006109/1. R.Y. is grateful for support from a Doctoral Fellowship from UCMEXUS and CONACyT, a Frontera Computational Science Fellowship from the Texas Advanced Computing Center, and a NASA FINESST Fellowship (21-ASTRO21-0068).

ASJC Scopus subject areas

Astronomy and Astrophysics
Space and Planetary Science

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10.3847/1538-4365/acbfba

Cite this

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

@article{8d474c16044b463faf84c01db810573b,

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, {P. D.} and K. Malanchev and S. Sharief and Jones, {D. O.} and G. Narayan and Foley, {R. J.} and Villar, {V. A.} and Angus, {C. R.} and Baldassare, {V. F.} and Bustamante-Rosell, {M. J.} and D. Chatterjee and C. Cold and Coulter, {D. A.} and Davis, {K. W.} and S. Dhawan and Drout, {M. R.} and A. Engel and French, {K. D.} and A. Gagliano and C. Gall and J. Hjorth and Huber, {M. E.} and Jacobson-Gal{\'a}n, {W. V.} and Kilpatrick, {C. D.} and D. Langeroodi and P. Macias and Mandel, {K. S.} and R. Margutti and F. Matasi{\'c} and P. McGill and Pierel, {J. D.R.} and E. Ramirez-Ruiz and Ransome, {C. L.} and C. Rojas-Bravo and Siebert, {M. R.} and Smith, {K. W.} and {De Soto}, {K. M.} and Stroh, {M. C.} and S. Tinyanont and K. Taggart and Ward, {S. M.} and R. Wojtak and K. Auchettl and Blanchard, {P. K.} and {De Boer}, {T. J.L.} and Boyd, {B. M.} and Carroll, {C. M.} and Chambers, {K. C.} and L. Demarchi and G. Dimitriadis and Dodd, {S. A.} and N. Earl and D. Farias and H. Gao and S. Gomez and M. Grayling and C. Grillo and Hayes, {E. E.} and T. Hung and L. Izzo and N. Khetan and Kolborg, {A. N.} and Law-Smith, {J. A.P.} and N. Lebaron and Lin, {C. C.} and Y. Luo and Magnier, {E. A.} and D. Matthews and B. Mockler and O'Grady, {A. J.G.} and Pan, {Y. C.} and Politsch, {C. A.} and Raimundo, {S. I.} and A. Rest and R. Ridden-Harper and A. Sarangi and Schr{\o}der, {S. L.} and Smartt, {S. J.} and G. Terreran and S. Thorp and J. Vazquez and Wainscoat, {R. J.} and Q. Wang and Wasserman, {A. R.} and Yadavalli, {S. K.} and R. Yarza and Y. Zenati",

note = "Publisher Copyright: {\textcopyright} 2023. The Author(s). Published by the American Astronomical Society.",

year = "2023",

month = may,

day = "1",

doi = "10.3847/1538-4365/acbfba",

language = "English (US)",

volume = "266",

journal = "Astrophysical Journal, Supplement Series",

issn = "0067-0049",

publisher = "American Astronomical Society",

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Aleo, PD, Malanchev, K, Sharief, S, Jones, DO, Narayan, G, Foley, RJ, Villar, VA, Angus, CR, Baldassare, VF, Bustamante-Rosell, MJ, Chatterjee, D, Cold, C, Coulter, DA, Davis, KW, Dhawan, S, Drout, MR, Engel, A, French, KD, Gagliano, A, Gall, C, Hjorth, J, Huber, ME, Jacobson-Galán, WV, Kilpatrick, CD, Langeroodi, D, Macias, P, Mandel, KS, Margutti, R, Matasić, F, McGill, P, Pierel, JDR, Ramirez-Ruiz, E, Ransome, CL, Rojas-Bravo, C, Siebert, MR, Smith, KW, De Soto, KM, Stroh, MC, Tinyanont, S, Taggart, K, Ward, SM, Wojtak, R, Auchettl, K, Blanchard, PK, De Boer, TJL, Boyd, BM, Carroll, CM, Chambers, KC, Demarchi, L, Dimitriadis, G, Dodd, SA, 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, Lin, CC, Luo, Y, Magnier, EA, Matthews, D, Mockler, B, O'Grady, AJG, Pan, YC, Politsch, CA, Raimundo, SI, Rest, A, Ridden-Harper, R, Sarangi, A, Schrøder, SL, Smartt, SJ, Terreran, G, Thorp, S, Vazquez, J, Wainscoat, RJ, Wang, Q, Wasserman, AR, Yadavalli, SK, Yarza, R & Zenati, Y 2023, 'The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae', Astrophysical Journal, Supplement Series, vol. 266, no. 1, 9. https://doi.org/10.3847/1538-4365/acbfba

TY - JOUR

T1 - The Young Supernova Experiment Data Release 1 (YSE DR1)

T2 - Light Curves and Photometric Classification of 1975 Supernovae

AU - Aleo, P. D.

AU - Malanchev, K.

AU - Sharief, S.

AU - Jones, D. O.

AU - Narayan, G.

AU - Foley, R. J.

AU - Villar, V. A.

AU - Angus, C. R.

AU - Baldassare, V. F.

AU - Bustamante-Rosell, M. J.

AU - Chatterjee, D.

AU - Cold, C.

AU - Coulter, D. A.

AU - Davis, K. W.

AU - Dhawan, S.

AU - Drout, M. R.

AU - Engel, A.

AU - French, K. D.

AU - Gagliano, A.

AU - Gall, C.

AU - Hjorth, J.

AU - Huber, M. E.

AU - Jacobson-Galán, W. V.

AU - Kilpatrick, C. D.

AU - Langeroodi, D.

AU - Macias, P.

AU - Mandel, K. S.

AU - Margutti, R.

AU - Matasić, F.

AU - McGill, P.

AU - Pierel, J. D.R.

AU - Ramirez-Ruiz, E.

AU - Ransome, C. L.

AU - Rojas-Bravo, C.

AU - Siebert, M. R.

AU - Smith, K. W.

AU - De Soto, K. M.

AU - Stroh, M. C.

AU - Tinyanont, S.

AU - Taggart, K.

AU - Ward, S. M.

AU - Wojtak, R.

AU - Auchettl, K.

AU - Blanchard, P. K.

AU - De Boer, T. J.L.

AU - Boyd, B. M.

AU - Carroll, C. M.

AU - Chambers, K. C.

AU - Demarchi, L.

AU - Dimitriadis, G.

AU - Dodd, S. A.

AU - Earl, N.

AU - Farias, D.

AU - Gao, H.

AU - Gomez, S.

AU - Grayling, M.

AU - Grillo, C.

AU - Hayes, E. E.

AU - Hung, T.

AU - Izzo, L.

AU - Khetan, N.

AU - Kolborg, A. N.

AU - Law-Smith, J. A.P.

AU - Lebaron, N.

AU - Lin, C. C.

AU - Luo, Y.

AU - Magnier, E. A.

AU - Matthews, D.

AU - Mockler, B.

AU - O'Grady, A. J.G.

AU - Pan, Y. C.

AU - Politsch, C. A.

AU - Raimundo, S. I.

AU - Rest, A.

AU - Ridden-Harper, R.

AU - Sarangi, A.

AU - Schrøder, S. L.

AU - Smartt, S. J.

AU - Terreran, G.

AU - Thorp, S.

AU - Vazquez, J.

AU - Wainscoat, R. J.

AU - Wang, Q.

AU - Wasserman, A. R.

AU - Yadavalli, S. K.

AU - Yarza, R.

AU - Zenati, Y.

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.

UR - http://www.scopus.com/inward/record.url?scp=85159568031&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85159568031&partnerID=8YFLogxK

U2 - 10.3847/1538-4365/acbfba

DO - 10.3847/1538-4365/acbfba

M3 - Article

AN - SCOPUS:85159568031

SN - 0067-0049

VL - 266

JO - Astrophysical Journal, Supplement Series

JF - Astrophysical Journal, Supplement Series

IS - 1

M1 - 9

ER -

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

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