1. Aihara et al. 2021. PASJ submitted “Third data release of the Hyper Suprime-Cam Subaru Strategic Program”
2. Aihara et al. 2019, PASJ, 71, 114 “Second data release of the Hyper Suprime-Cam Subaru Strategic Program“
3. Kawanomoto et al. 2018, PASJ, 70, 66 “Hyper Suprime-Cam: FIlters”
4. Aihara et al. 2018, PASJ, 70S, 8 “First data release of the Hyper Suprime-Cam Subaru Strategic Program”
5. Coupon et al. 2018, PASJ, 70S, 7 “The bright-star masks for the HSC-SSP survey”
6. Huang et al. 2018, PASJ, 70S, 6 “Characterization and photometric performance of the Hyper Suprime-Cam Software Pipeline”
7. Bosch et al. 2018, PASJ, 70S, 5 “The Hyper Suprime-Cam software pipeline”
8. Aihara et al. 2018, PASJ, 70S, 4 “The Hyper Suprime-Cam SSP Survey: Overview and survey design”
9. Furusawa et al. 2018, PASJ, 70S, 3 “The on-site quality-assurance system for Hyper Suprime-Cam: OSQAH”
10. Komiyama et al. 2018, PASJ, 70S, 2 “Hyper Suprime-Cam: Camera dewar design”
11. Miyazaki et al. 2018, PASJ, 70S, 1 “Hyper Suprime-Cam: System design and verification of image quality”
12. Koike et al. 2014, ADASS XXIII, ASP conference series, vol.485, 297 “Web-based Hyper Suprime-Cam Data Providing System”
13. Yamada et al. 2014, ADASS XXIII, ASP conference series, vol.485, 243 “Development of a Database System for Data Obtained by Hyper Suprime-Cam on the Subaru Telescope”
14. Koike et al. 2014, SPIE, 9149 “Web-based data providing system for Hyper Suprime-Cam”
15. Yamada et al. 2014, SPIE, 9149 “Development of database system for data obtained by Hyper Suprime-Cam on Subaru Telescope”
16. Uraguchi et al. 2012, SPIE, 8446 “Hyper Suprime-Cam: filter exchange unit and shutter”
17. Miyazaki et al. 2012, SPIE, 8446 “Hyper Suprime-Cam”
18. Kamata et al. 2012, SPIE, 8453 “Hyper Suprime-Cam: characteristics of 116 fully depleted back-illuminated CCDs”
19. Nakaya et al. 2012, SPIE, 8453 “Hyper Suprime-Cam: performance of the CCD readout electronics”
20. Obuchi et al. 2012, SPIE, 8446 “Hyper Suprime-Cam: implementation and performance of the cryogenic dewar”
21. Utsumi et al. 2012, SPIE, 8446 “Hyper Suprime-Cam: the control system”

1. 2021:

1. Alam et al. 2021, MNRAS, 504, 857-870, “Quasars at intermediate redshift are not special; but they are often satellites”
2. Ardila et al. 2021, MNRAS, 500, 432-447, “Stellar and weak lensing profiles of massive galaxies in the Hyper-Suprime Cam survey and in hydrodynamic simulations”
3. Banqui et al. 2021, A&A, 645, A87, “The miniJPAS survey: star-galaxy classification using machine learning”
4. Broussard et al. 2021, ApJ, 922, 153, “Using a Neural Network Classifier to Select Galaxies with the Most Accurate Photometric Redshifts”
5. Cañameras et al. 2021, A&A, 653, L6, “HOLISMOKES. VI. New galaxy-scale strong lens candidates from the HSC-SSP imaging survey”
6. Chao et al. 2021, A&A, 655, A114, “Strongly lensed candidates from the HSC transient survey”
7. Cheng et al. 2021, ApJS, 256, 4, “Searching for Low-redshift Faint Galaxies with MMT/Hectospec”
8. Dalal et al. 2021, MNRAS, 507, 4016-4029, “Brightest cluster galaxies are statistically special from z = 0.3 to z = 1”
9. Davies et al. 2021, MNRAS, 506, 256-287, “Deep Extragalactic VIsible Legacy Survey (DEVILS): consistent multiwavelength photometry for the DEVILS regions (COSMOS, XMMLSS, and ECDFS)”
10. Dubois et al. 2021, A&A, 651, A109, “Introducing the NEWHORIZON simulation: Galaxy properties with resolved internal dynamics across cosmic time”
11. Ghirardini et al. 2021, A&A, 647, A4, “Discovery of a supercluster in the eROSITA Final Equatorial Depth Survey: X-ray properties, radio halo, and double relics”
12. Golob et al. 2021, MNRAS, 503, 4136-4146, “Classifying stars, galaxies, and AGNs in CLAUDS + HSC-SSP using gradient boosted decision trees”
13. Greco et al. 2021, ApJ, 908, 24, “Measuring Distances to Low-luminosity Galaxies Using Surface Brightness Fluctuations”
14. Hilton et al. 2021, ApJS, 253, 3, “The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev–Zel’dovich Galaxy Clusters”
15. Hu et al. 2021, Nature Astronomy, 5, 485-490, “A Lyman-α protocluster at redshift 6.9”
16. Ichikawa et al. 2021, ApJ, 921, 51, “A Wide and Deep Exploration of Radio Galaxies with Subaru HSC (WERGS). IV. Rapidly Growing (Super)Massive Black Holes in Extremely Radio-loud Galaxies”
17. Ishikawa et al. 2021, ApJ, 922, 23, “Halo-model Analysis of the Clustering of Photometric Luminous Red Galaxies at 0.10 ≤ z ≤1.05 from the Subaru Hyper Suprime-Cam Survey”
18. Isobe et al. 2021, ApJ, 918, 54, “EMPRESS. III. Morphology, Stellar Population, and Dynamics of Extremely Metal-poor Galaxies (EMPGs): Are EMPGs Local Analogs of High-z Young Galaxies?”
19. Iwata et al. 2021, MNRAS, tmp.2494I “Ionizing radiation from AGNs at z>3.3 with the Subaru Hyper Suprime-Cam Survey and the CFHT Large Area U-band Deep Survey (CLAUDS)”
20. Jaelani et al. 2021, MNRAS, 502, 1487-1493, “Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) – VII. Discovery and Confirmation of Three Strongly Lensed Quasars”
21. Kado-Fong et al. 2021, ApJ, 920, 72, “The Intrinsic Shapes of Low Surface Brightness Galaxies (LSBGs): A Discriminant of LSBG Galaxy Formation Mechanisms”
22. Kakuma et al. 2021, ApJ, 916, 22, “SILVERRUSH. IX. Lyα Intensity Mapping with Star-forming Galaxies at z = 5.7 and 6.6: A Possible Detection of Extended Lyα Emission at ≳100 Comoving Kiloparsecs around and beyond the Virial-radius Scale of Galaxy Dark Matter Halos”
23. Kawinwanichakij et al. 2021, ApJ, 921, 38, “Hyper Suprime-Cam Subaru Strategic Program: A Mass-dependent Slope of the Galaxy Size-Mass Relation at z < 1”
24. Kim et al. 2021, MNRAS, 500, 4078-4094, “Identification of AKARI infrared sources by the Deep HSC Optical Survey: construction of a new band-merged catalogue in the North Ecliptic Pole Wide fiel”
25. Kojima et al. 2021, ApJ, 913, 22, “EMPRESS. II. Highly Fe-enriched Metal-poor Galaxies with ∼1.0 (Fe/O)⊙ and 0.02 (O/H)⊙: Possible Traces of Supermassive (>300 M⊙) Stars in Early Galaxies”
26. Léget et al. 2021, A&A, 650, A81, “Improving the astrometric solution of the Hyper Suprime-Cam with anisotropic Gaussian processes”
27. Li et al. 2021, ApJ, 918, 22, “The Sizes of Quasar Host Galaxies in the Hyper Suprime-Cam Subaru Strategic Program”
28. Liu et al. 2021, PhRvD, 103, 123504, “Detection of cosmic magnification via galaxy shear-galaxy number density correlation from HSC survey data”
29. Mao et al. 2021, ApJ, 907, 85, “The SAGA Survey. II. Building a Statistical Sample of Satellite Systems around Milky Way-like Galaxies”
30. Moriya et al. 2021, ApJ, 908, 249, “Constraints on the Rate of Supernovae Lasting for More Than a Year from Subaru/Hyper Suprime-Cam”
31. Oguri et al. 2021, PASJ, 73, 817, “Hundreds of weak lensing shear-selected clusters from the Hyper Suprime-Cam Subaru Strategic Program S19A data”
32. Okabe et al. 2021, MNRAS, 501, 1701-1732, “Active gas features in three HSC-SSP CAMIRA clusters revealed by high angular resolution analysis of MUSTANG-2 SZE and XXL X-ray observations”
33. Ono et al. 2021, ApJ, 911, 78, “SILVERRUSH X: Machine Learning-aided Selection of 9318 LAEs at z = 2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 from the HSC SSP and CHORUS Survey Data”
34. Pérez-Martínez et al. 2021, A&A, 646, A53, “Evolution of galaxy scaling relations in clusters at 0.5 < z < 1.5”
35. Prole et al. 2021, MNRAS, 500, 2049-2062, “The quiescent fraction of isolated low surface brightness galaxies: Observational constraints”
36. Qiu et al. 2021, MNRAS, 501, 5149-5175, “Proper motion measurements for stars up to 100 kpc with Subaru HSC and SDSS Stripe 82”
37. Saburova et al. 2021, MNRAS, 503, 830-849, “Observational insights on the origin of giant low surface brightness galaxies”
38. Schuldt et al. 2021, A&A, 646, A126, “HOLISMOKES. IV. Efficient mass modeling of strong lenses through deep learning”
39. Sevilla-Noarbe et al. 2021, ApJS, 254, 24, “Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology”
40. Shimakawa et al. 2021, MNRAS, 503, 3896-3912, “Subaru Hyper Suprime-Cam excavates colossal over- and under-dense structures over 360 deg2 out to z = 1”
41. Shimakawa et al. 2021, PASJ, , , “Subaru Hyper Suprime-Cam revisits the large-scale environmental dependence on galaxy morphology over 360 deg2 at z = 0.3-0.6”
42. Shirasaki et al. 2021, MNRAS, 504, 1825-1839, “Noise reduction for weak lensing mass mapping: An application of generative adversarial networks to Subaru Hyper Suprime-Cam first-year data”
43. Tanaka et al. 2021, PASJ, 73, 584-595, “Signatures of large-scale cold fronts in the optically-selected merging cluster HSC J085024+001536”
44. Tang et al. 2021, ApJ, 922, 83, “Optical Spectroscopy of Dual Quasar Candidates from the Subaru HSC-SSP program”
45. Wang et al. 2021, MNRAS, 500, 3776-3801, “A comparative study of satellite galaxies in Milky Way-like galaxies from HSC, DECaLS, and SDSS”
46. Wang et al. 2021, ApJ, 919, 25, “The Stellar Mass in and around Isolated Central Galaxies: Connections to the Total Mass Distribution through Galaxy-Galaxy Lensing in the Hyper Suprime-Cam Survey”
47. Wen et al. 2021, MNRAS, 500, 1003-1017, “Photometric redshifts for galaxies in the Subaru Hyper Suprime-Cam and unWISE and a catalogue of identified clusters of galaxies”
48. Willis et al. 2021, MNRAS, 503, 5624-5637, “Understanding X-ray and optical selection of galaxy clusters: A comparison of the XXL and CAMIRA cluster catalogues obtained in the common XXL-HSC SSP area”
49. Xu et al. 2021, SCPMA, 64, 279811, “A giant central red disk galaxy at redshift z = 0.76: Challenge to theories of galaxy formation”
50. Zhang et al. 2021, ApJ, 922, 167, “First HETDEX Spectroscopic Determinations of Lyα and UV Luminosity Functions at z = 2-3: Bridging a Gap between Faint AGNs and Bright Galaxies”

1. 2020:

1. Adams et al. 2020, MNRAS, 494, 1771 “The rest-frame UV luminosity function at z ≃ 4: a significant contribution of AGN to the bright-end of the galaxy population”
2. Beck et al, 2020, MNRAS, 493, 2318 “Hawaii Two-0: high-redshift galaxy clustering and bias”
3. Böhm et al. 2020, A&A, 633, A131 “Kinematics of disk galaxies in (proto-)clusters at z = 1.5”
4. Caplar et al. 2020, ApJ, 889, L29 “Observational Nonstationarity of AGN Variability: The Only Way to Go Is Down!”
5. Chan et al. 2020, A&A, 636, A87 “Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI). IV. Lensed quasar search in the HSC survey “
6. Chao et al. 2020, A&A, 640, A88 “Lensed quasar search via time variability with the HSC transient survey”
7. Chiu et al. 2020, MNRAS, 495, 428 “The Richness-to-Mass Relation of CAMIRA Galaxy Clusters from Weak-lensing Magnification in the Subaru Hyper Suprime-Cam Survey”
8. Chiu et al. 2020, MNRAS, 498, 2030 “A clustering-based self-calibration of the richness-to-mass relation of CAMIRA galaxy clusters out to z ≍ 1.1 in the Hyper Suprime-Cam survey”
9. Hamana et al. 2020, PASJ, 72, 78 “Weak-lensing clusters from HSC survey first-year data: Mitigating the dilution effect of foreground and cluster-member galaxies”
10. Harikane et al. 2020, ApJ, 896, 93 “Large Population of ALMA Galaxies at z > 6 with Very High [O iii] 88 μm to [C ii] 158 μm Flux Ratios: Evidence of Extremely High Ionization”
11. Hashimoto et al. 2020, JCAP, 1, 59″Constraining dark matter annihilation with HSC low surface brightness galaxies”
12. Hayashi et al. 2020, PASJ, 72, 86 “A 16 deg2 survey of emission-line galaxies at z < 1.6 from HSC-SSP PDR2 and CHORUS”
13. Huang et al. 2020, MNRAS, 492, 3685 “Weak Lensing Reveals a Tight Connection Between Dark Matter Halo Mass and the Distribution of Stellar Mass in Massive Galaxies”
14. Huang et al. 2020, ApJ, 897, 69 “Orphan GRB Afterglow Searches with the Pan-STARRS1 COSMOS Survey”
15. Inoue et al. 2020, PASJ, 72, 101 “CHORUS. I. Cosmic HydrOgen Reionization Unveiled with Subaru: Overview”
16. Ishikawa et al. 2020, ApJ, 904, 128 “The Subaru HSC Galaxy Clustering with Photometric Redshift. I. Dark Halo Masses versus Baryonic Properties of Galaxies at 0.3 < z < 1.4”
17. Ishino et al. 2020, PASK, 72, 83 “Subaru Hyper Suprime-Cam view of quasar host galaxies at z < 1”
18. Ito et al. 2020, ApJ, 899, 5 “The UV Luminosity Function of Protocluster Galaxies at z ∼ 4: The Bright-end Excess and the Enhanced Star Formation Rate Density”
19. Jaelani et al. 2020, MNRAS, 494, 3156 “Discovery of an unusually compact lensed Lyman Break Galaxy from the Hyper Suprime-Cam Survey”
20. Jaelani et al. 2020, MNRAS, 495, 1291 “Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI). V. Group-to-cluster scale lens search from the HSC-SSP Survey”
21. Jian et al. 2020, ApJ, 894, 125 “Redshift Evolution of Green Valley Galaxies in Different Environments from the Hyper Suprime-Cam Survey”
22. Jiang et al. 2020, ApJ, 892, 25 “The HSC-SSP Transient Survey: Implications from Early Photometry and Rise Time of Normal Type Ia Supernovae”
23. Kado-Fong et al. 2020, AJ, 159, 103 “Star Formation in Isolated Dwarf Galaxies Hosting Tidal Debris: Extending the Dwarf─Dwarf Merger Sequence”
24. Kado-Fong et al. 2020, ApJ, 900, 163 “Tracing the Intrinsic Shapes of Dwarf Galaxies Out to Four Effective Radii: Clues to Low-mass Stellar Halo Formation”
25. Kashino et al. 2020, ApJ, 888, 6 “Evidence for a Highly Opaque Large-scale Galaxy Void at the End of Reionization”
26. Kato et al. 2020, PASJ, 72, 84 “Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). IX. Identification of two red quasars at z > 5.6”
27. Kimura et al. 2020, ApJ, 894, 24 “Properties of AGN Multiband Optical Variability in the HSC SSP Transient Survey”
28. Kojima et al. 2020, ApJ, 898, 142 “Extremely Metal-Poor Representatives Explored by the Subaru Survey (EMPRESS). I. A Successful Machine Learning Selection of Metal-Poor Galaxies and the Discovery of a Galaxy with M*<106 Msun and 0.016Z_⊙“
29. Kondo et al. 2020, MNRAS, 495, 3695 “Weak Lensing Measurement of Filamentary Structure with the SDSS BOSS and Subaru Hyper Suprime-Cam Data”
30. Lupi et al. 2020, MNRAS, 492, 2528 “Difficulties in mid-infrared selection of AGNs in dwarf galaxies”
31. Makiya et al. 2020, PASJ, 72, 26 “New constraints on the mass bias of galaxy clusters from the power spectra of the thermal Sunyaev-Zeldovich effect and cosmic shear”
32. Marques et al. 2020, ApJ, 904, 182 “Cross-correlation between Subaru Hyper Suprime-Cam Galaxy Weak Lensing and Planck Cosmic Microwave Background Lensing”
33. Martin et al. 2020, MNRAS, 491, 1408 “Galaxy morphological classification in deep-wide surveys via unsupervised machine learning”
34. Mawatari et al. 2020, ApJ, 889, 137 “Balmer Break Galaxy Candidates at z ~ 6: A Potential View on the Star Formation Activity at z > 14”
35. Mestrić et al. 2020, MNRAS, 494, 4986 “Outside the Lyman-break box: detecting Lyman continuum emitters at 3.5 < z < 5.1 with CLAUDS”
36. Moutard et al. 2020, MNRAS, 494, 1894 “UV & U-band luminosity functions from CLAUDS and HSC-SSP – I. Using four million galaxies to simultaneously constrain the very faint and bright regimes to z ~ 3”
37. Murata et al. 2020, PASJ, 72, 64 “The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release”
38. Niida et al. 2020, ApJ, 904, 89 “The Faint End of the Quasar Luminosity Function at z~5 from the Subaru Hyper Suprime-Cam Survey”
39. Ocran et al. 2020, MNRAS, 491, 5911 “Cosmic evolution of star-forming galaxies to z – 1.8 in the faint low-frequency radio source population”
40. Osato et al. 2020, MNRAS, 492, 4780 “Cross-correlation of the thermal Sunyaev-Zel’dovich effect and weak gravitational lensing: Planck and Subaru Hyper Suprime-Cam first-year data”
41. Ota et al. 2020, PASJ, 72, 10 “X-ray properties of high-richness CAMIRA clusters in the Hyper Suprime-Cam Subaru Strategic Program field”
42. Rawlings et al. 2020, MNRAS, 491, 324 “The SAMI Galaxy Survey: rules of behaviour for spin-ellipticity radial tracks in galaxies”
43. Sereno et al. 2020 MNRAS, 492, 4528 “XXL Survey groups and clusters in the Hyper Suprime-Cam Survey. Scaling relations between X-ray properties and weak lensing mass”
44. Shirasaki et al. 2020, PASJ, 72, 60 “Properties of the environment around active galactic nucleus / luminous galaxy pairs through the HSC wide survey”
45. Silverman et al. 2020, ApJ, 899, 154 “Dual Supermassive Black Holes at Close Separation Revealed by the Hyper Suprime-Cam Subaru Strategic Program”
46. Sugiyama et al. 2020, PhRvD, 102, 083520 “Validating a minimal galaxy bias method for cosmological parameter inference using HSC-SDSS mock catalogs”
47. Tadaki et al. 2020, MNRAS, 496, 4276 “Spin Parity of Spiral Galaxies II: A catalogue of 80k spiral galaxies using big data from the Subaru Hyper Suprime-Cam Survey and deep learning”
48. Takahashi et al. 2020, PASJ, 72, 89 “Photometric classification of Hyper Suprime-Cam transients using machine learning”
49. Tampo et al. 2020, ApJ, 894, 27 “Rapidly Evolving Transients from the Hyper Suprime-Cam SSP Transient Survey”
50. Tanaka et al. 2020, MNRAS, 491, 3411 “X-ray study of the double source plane gravitational lens system Eye of Horus observed with XMM-Newton”
51. Toba et al. 2020, ApJ, 899, 35 “Search for Optically Dark Infrared Galaxies without Counterparts of Subaru Hyper Suprime-Cam in the AKARI North Ecliptic Pole Wide Survey”
52. Toshikawa et al. 2020, ApJ, 888, 89 “Discovery of Protoclusters at z ̃ 3.7 and 4.9: Embedded in Primordial Superclusters”
53. Uchiyama et al. 2020, ApJ, 905, 125 “Faint Quasars Live in the Same Number Density Environments as Lyman Break Galaxies at z ~ 4”
54. Umetsu et al. 2020, ApJ, 890, 148 “Weak-lensing Analysis of X-Ray-selected XXL Galaxy Groups and Clusters with Subaru HSC Data”
55. Utsumi et al. 2020, ApJ, 900, 50 “Velocity Dispersions of Massive Quiescent Galaxies from Weak Lensing and Spectroscopy”
56. Yamashita et al. 2020, AJ, 160, 60 “A Wide and Deep Exploration of Radio Galaxies with Subaru HSC (WERGS). III. Discovery of a z = 4.72 Radio Galaxy with the Lyman Break Technique”
57. Zhang et al. 2020, ApJ, 891, 177 “CHORUS. III. Photometric and Spectroscopic Properties of Lyα Blobs at z = 4.9-7.0

1. 2019:

1. Ito et al. 2019, ApJ, 878, 68 “The Brightest UV-selected Galaxies in Protoclusters at z ∼ 4: Ancestors of Brightest Cluster Galaxies?”
2. Matsuoka et al. 2019, ApJ, 872, L2 “Discovery of the First Low-luminosity Quasar at z > 7”
3. Sorahana et al. 2019, ApJ, 870, 118 “Evaluation of the Vertical Scale Height of L Dwarfs in the Galactic Thin Disk”
4. Tanaka et al. 2019, ApJ, 885, L34 “Stellar Velocity Dispersion of a Massive Quenching Galaxy at z = 4.01”
5. Hayashi et al. 2019, PASJ, 71, 112 “The whole picture of the large-scale structure of the CL1604 supercluster at z ̃ 0.9”
6. Izumi et al. 2019, PASJ, 71, 111 “Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). VIII. A less biased view of the early co-evolution of black holes and host galaxies”
7. Speagle et al. 2019, MNRAS, 490, 5658 “Galaxy-Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets”
8. Kubo et al. 2019, ApJ, 887, 214 “Planck Far-infrared Detection of Hyper Suprime-Cam Protoclusters at z ∼ 4: Hidden AGN and Star Formation Activity“
9. Halevi et al. 2019, ApJ, 885L, 3 “HSC-XD 52: An X-Ray Detected AGN in a Low-mass Galaxy at z ̃ 0.56“
10. Murata et al. 2019, PASJ, 71, 107 “The mass-richness relation of optically selected clusters from weak gravitational lensing and abundance with Subaru HSC first-year data“
11. Homma et al. 2019, PASJ, 71, 94 “Boötes. IV. A new Milky Way satellite discovered in the Subaru Hyper Suprime-Cam Survey and implications for the missing satellite problem“
12. Matsuoka et al. 2019, ApJ, 883, 183 “Subaru High-z Exploration of Low-luminosity Quasars (SHELLQs). X. Discovery of 35 Quasars and Luminous Galaxies at 5.7 ≤ z ≤ 7.0“
13. Harikane et al. 2019, ApJ, 883, 142 “SILVERRUSH. VIII. Spectroscopic Identifications of Early Large-scale Structures with Protoclusters over 200 Mpc at z ̃ 6-7: Strong Associations of Dusty Star-forming Galaxies“
14. Sonnenfeld et al. 2019, A&A, 630A, 71 “Survey of gravitationally-lensed objects in HSC imaging (SuGOHI). III. Statistical strong lensing constraints on the stellar IMF of CMASS galaxies“
15. Moriya et al. 2019, ApJ, 882, 70 “HSC16aayt: A Slowly Evolving Interacting Transient Rising for More than 100 Days“
16. Namikawa et al. 2019, ApJ, 882, 62 “Evidence for the Cross-correlation between Cosmic Microwave Background Polarization Lensing from Polarbear and Cosmic Shear from Subaru Hyper Suprime-Cam“
17. Okabe et al. 2019, PASJ, 71, 79 “Halo concentration, galaxy red fraction, and gas properties of optically defined merging clusters“
18. Yasuda et al. 2019, PASJ, 71, 74 “The Hyper Suprime-Cam SSP transient survey in COSMOS: Overview“
19. Fukushima et al. 2019, PASJ, 71, 72 “The stellar halo of the Milky Way traced by blue horizontal-branch stars in the Subaru Hyper Suprime-Cam Survey“
20. Wang et al. 2019, MNRAS, 487.1580 “The stellar halo of isolated central galaxies in the Hyper Suprime-Cam imaging survey“
21. Onoue et al. 2019, ApJ, 880, 77 “Subaru High-z Exploration of Low-luminosity Quasars (SHELLQs). VI. Black Hole Mass Measurements of Six Quasars at 6.1 ≤ z ≤ 6.7“
22. Sakakibara et al. 2019, MNRAS, 486.4365 “Effect of lensing magnification on type Ia supernova cosmology“
23. Toba et al. 2019, ApJS, 243, 15 “A Wide and Deep Exploration of Radio Galaxies with Subaru HSC (WERGS). II. Physical Properties Derived from the SED Fitting with Optical, Infrared, and Radio Data“
24. Higuchi et al. 2019, ApJ, 879, 28 “SILVERRUSH. VII. Subaru/HSC Identifications of Protocluster Candidates at z ̃ 6-7: Implications for Cosmic Reionization“
25. Kusakabe et al. 2019, PASJ, 71, 55 “The dominant origin of diffuse Lyα halos around Lyα emitters explored by spectral energy distribution fitting and clustering analysis“
26. Kakuma et al. 2019, arXiv190600173 “SILVERRUSH. IX. Lyα Intensity Mapping with Star-Forming Galaxies at z=5.7 and 6.6: Lyα Emission Extended at >150 comoving kpc Beyond the Virial-Radius Scale of Galaxy Dark Matter Halos“
27. Noboriguchi et al. 2019, ApJ, 876, 132 “Optical Properties of Infrared-bright Dust-obscured Galaxies Viewed with Subaru Hyper Suprime-Cam“
28. Hikage et al. 2019, PASJ, 71, 43 “Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data“
29. Hashimoto et al. 2019, MNRAS, 484.5256 “Measurement of redshift-dependent cross-correlation of HSC clusters and Fermi γ-rays“
30. Curtin et al. 2019, ApJS, 241, 17 “First Release of High-redshift Superluminous Supernovae from the Subaru HIgh-Z SUpernova CAmpaign (SHIZUCA). II. Spectroscopic Properties“
31. Moriya et al. 2019, ApJS, 241, 16 “First Release of High-Redshift Superluminous Supernovae from the Subaru HIgh-Z SUpernova CAmpaign (SHIZUCA). I. Photometric Properties“
32. Miyatake et al. 2019, ApJ, 875, 63 “Weak-lensing Mass Calibration of ACTPol Sunyaev-Zel’dovich Clusters with the Hyper Suprime-Cam Survey“
33. Sonnenfeld et al. 2019, A&A, 622A, 30 “Hyper Suprime-Cam view of the CMASS galaxy sample. Halo mass as a function of stellar mass, size, and Sérsic index“

1. 2018:

1. Huang et al. 2018, MNRAS, 480, 521 “A detection of the environmental dependence of the sizes and stellar haloes of massive central galaxies”
2. Mandelbaum et al. 2018, MNRAS, 481, 3170 “Weak lensing shear calibration with simulations of the HSC survey“
3. Sonnenfeld et al. 2018, MNRAS, 481, 164 “Evidence for radial variations in the stellar mass-to-light ratio of massive galaxies from weak and strong lensing“
4. Wong et al. 2018, ApJ, 867, 107 “Survey of Gravitationally Lensed Objects in HSC Imaging (SuGOHI). II. Environments and Line-of-Sight Structure of Strong Gravitational Lens Galaxies to z ̃ 0.8“
5. Sun et al. 2018, MNRAS, 480.2302 “Imaging extended emission-line regions of obscured AGN with the Subaru Hyper Suprime-Cam Survey“
6. Yamashita et al. 2018, ApJ, 866, 140 “A Wide and Deep Exploration of Radio Galaxies with Subaru HSC (WERGS). I. The Optical Counterparts of FIRST Radio Sources“
7. Greco et al. 2018, ApJ, 866, 112 “A Study of Two Diffuse Dwarf Galaxies in the Field“
8. Kado-Fong et al. 2018, ApJ, 866, 103 “Tidal Features at 0.05 < z < 0.45 in the Hyper Suprime-Cam Subaru Strategic Program: Properties and Formation Channels“
9. Tanaka et al. 2018, ApJ, 865, 125 “The Missing Satellite Problem Outside of the Local Group. I. Pilot Observation“
10. Carlsten et al. 2018, MNRAS, 479.1491 “Wavelength-dependent PSFs and their impact on weak lensing measurements“
11. Fukushima et al. 2018, PASJ, 70, 69 “Structure of the Milky Way stellar halo out to its outer boundary with blue horizontal-branch stars“
12. Sonnenfeld et al. 2018, MNRAS, 477.5460 “A Bayesian hierarchical approach to galaxy-galaxy lensing“
13. Matsuoka et al. 2018, ApJS, 237, 5 “Subaru High-z Exploration of Low-luminosity Quasars (SHELLQs). IV. Discovery of 41 Quasars and Luminous Galaxies at 5.7 ≤ z ≤ 6.9“
14. Melchior et al. 2018, A&C, 24, 129 “SCARLET: Source separation in multi-band images by Constrained Matrix Factorization“
15. Shirasaki et al. 2018, PhRvD, 97l3015 “Correlation of extragalactic γ rays with cosmic matter density distributions from weak gravitational lensing“
16. Inoue et al. 2018, PASJ, 70, 55 “SILVERRUSH. VI. A simulation of Lyα emitters in the reionization epoch and a comparison with Subaru Hyper Suprime-Cam survey early data”
17. Izumi et al. 2018, PASJ, 70, 36 “Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). III. Star formation properties of the host galaxies at z ≳ 6 studied with ALMA“
18. Harikane et al. 2018, ApJ, 859, 84 “SILVERRUSH. V. Census of Lyα, [O III] λ5007, Hα, and [C II] 158 μm Line Emission with ̃1000 LAEs at z = 4.9-7.0 Revealed with Subaru/HSC“
19. Coulton et al. 2018, AJ, 155, 258 “Exploring the Brighter-fatter Effect with the Hyper Suprime-Cam“
20. Huang et al. 2018, MNRAS, 475.3348 “Individual stellar haloes of massive galaxies measured to 100 kpc at 0.3 < z < 0.5 using Hyper Suprime-Cam“
21. Mehta et al. 2018, ApJS, 235, 36 “SPLASH-SXDF Multi-wavelength Photometric Catalog“
22. Greco et al. 2018, ApJ, 857, 104 “Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey“
23. Medezinski et al. 2018, PASJ, 70, 30 “Source selection for cluster weak lensing measurements in the Hyper Suprime-Cam survey“
24. Sohn et al. 2018, ApJ, 855, 100 “The HectoMAP Cluster Survey. II. X-Ray Clusters“
25. Terai et al. 2018, PASJ, 70S, 40 “Multi-band photometry of trans-Neptunian objects in the Subaru Hyper Suprime-Cam survey“
26. Chen et al. 2018, PASJ, 70S, 38 “Searching for moving objects in HSC-SSP: Pipeline and preliminary results“
27. Goulding et al. 2018, PASJ, 70S, 37 “Galaxy interactions trigger rapid black hole growth: An unprecedented view from the Hyper Suprime-Cam survey“
28. Terashima et al. 2018, PASJ, 70S, 36 “X-ray-bright optically faint active galactic nuclei in the Subaru Hyper Suprime-Cam wide survey“
29. Matsuoka et al. 2018, PASJ, 70S, 35 “Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). II. Discovery of 32 quasars and luminous galaxies at 5.7 < z ≤ 6.8“
30. Akiyama et al. 2018, PASJ, 70S, 34 “The quasar luminosity function at redshift 4 with the Hyper Suprime-Cam Wide Survey“
31. He et al. 2018, PASJ, 70S, 33 “Clustering of quasars in a wide luminosity range at redshift 4 with Subaru Hyper Suprime-Cam Wide-field imaging“
32. Uchiyama et al. 2018, PASJ, 70S, 32 “Luminous quasars do not live in the most overdense regions of galaxies at z ̃ 4“
33. Onoue et al. 2018, PASJ, 70S, 31 “Enhancement of galaxy overdensity around quasar pairs at z < 3.6 based on the Hyper Suprime-Cam Subaru Strategic Program Survey“
34. Shirasaki et al. 2018, PASJ, 70S, 30 “Clustering of galaxies around AGNs in the HSC Wide survey“
35. Medezinski et al. 2018, PASJ, 70S, 28 “Planck Sunyaev-Zel’dovich cluster mass calibration using Hyper Suprime-Cam weak lensing“
36. Miyazaki et al. 2018, PASJ, 70S, 27 “A large sample of shear-selected clusters from the Hyper Suprime-Cam Subaru Strategic Program S16A Wide field mass maps“
37. Oguri et al. 2018, PASJ, 70S, 26 “Two- and three-dimensional wide-field weak lensing mass maps from the Hyper Suprime-Cam Subaru Strategic Program S16A data“
38. Mandelbaum et al. 2018, PASJ, 70S, 25 “The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey“
39. Nishizawa et al. 2018, PASJ, 70S, 24 “First results on the cluster galaxy population from the Subaru Hyper Suprime-Cam survey. II. Faint end color-magnitude diagrams and radial profiles of red and blue galaxies at 0.1 < z < 1.1“
40. Miyaoka et al. 2018, PASJ, 70S, 22 “Multiwavelength study of X-ray luminous clusters in the Hyper Suprime-Cam Subaru Strategic Program S16A field“
41. Koyama et al. 2018, PASJ, 70S, 21 “The nature of H α-selected galaxies along the large-scale structure at z = 0.4 revealed by Subaru Hyper Suprime-Cam survey“
42. Greco et al. 2018, PASJ, 70S, 19 “Sumo Puff: Tidal debris or disturbed ultra-diffuse galaxy?“
43. Homma et al. 2018, PASJ, 70S, 18 “Searches for new Milky Way satellites from the first two years of data of the Subaru/Hyper Suprime-Cam survey: Discovery of Cetus III“
44. Hayashi et al. 2018, PASJ, 70S, 17 “A 16 deg2 survey of emission-line galaxies at z < 1.5 in HSC-SSP Public Data Release 1“
45. Konno et al. 2018, PASJ, 70S, 16 “SILVERRUSH. IV. Lyα luminosity functions at z = 5.7 and 6.6 studied with ̃1300 Lyα emitters on the 14-21 deg2 sky“
46. Shibuya et al. 2018, PASJ, 70S, 15 “SILVERRUSH. III. Deep optical and near-infrared spectroscopy for Lyα and UV-nebular lines of bright Lyα emitters at z = 6-7“
47. Shibuya et al. 2018, PASJ, 70S, 14 “SILVERRUSH. II. First catalogs and properties of ̃2000 Lyα emitters and blobs at z ̃ 6-7 identified over the 14-21 deg2 sky*“
48. Ouchi et al. 2018, PASJ, 70S, 13 “Systematic Identification of LAEs for Visible Exploration and Reionization Research Using Subaru HSC (SILVERRUSH). I. Program strategy and clustering properties of ̃2000 Lyα emitters at z = 6-7 over the 0.3-0.5 Gpc2 survey area“
49. Toshikawa et al. 2018, PASJ, 70S, 12 “GOLDRUSH. III. A systematic search for protoclusters at z ̃ 4 based on the >100 deg2 area”
50. Harikane et al. 2018, PASJ, 70S, 11 “GOLDRUSH. II. Clustering of galaxies at z ̃ 4-6 revealed with the half-million dropouts over the 100 deg2 area corresponding to 1 Gpc3“
51. Ono et al. 2018, PASJ, 70S, 10 “Great Optically Luminous Dropout Research Using Subaru HSC (GOLDRUSH). I. UV luminosity functions at z ̃ 4-7 derived with the half-million dropouts on the 100 deg2 sky“
52. Tanaka et al. 2018, PASJ, 70S, 9 “Photometric redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1“
53. Kusakabe et al. 2018, PASJ, 70, 4 “The stellar mass, star formation rate and dark matter halo properties of LAEs at z ̃ 2“
54. Utsumi et al. 2018, PASJ, 70, 1 “A challenge to identify an optical counterpart of the gravitational wave event GW151226 with Hyper Suprime-Cam“
55. Shimakawa et al. 2018, MNRAS, 473.1977 “MAHALO Deep Cluster Survey I. Accelerated and enhanced galaxy formation in the densest regions of a protocluster at z = 2.5“
56. Deason et al. 2018, ApJ, 852, 118 “To the Galactic Virial Radius with Hyper Suprime-Cam“

1. 2017:

1. de Jaeger et al. 2017, MNRAS, 472.4233 “SN 2016jhj at redshift 0.34: extending the Type II supernova Hubble diagram using the standard candle method“
2. Lin et al. 2017, ApJ, 851, 139 “First Results on the Cluster Galaxy Population from the Subaru Hyper Suprime-Cam Survey. III. Brightest Cluster Galaxies, Stellar Mass Distribution, and Active Galaxies“
3. Jiang et al. 2017, Natur.550, 80 “A hybrid type Ia supernova with an early flash triggered by helium-shell detonation“
4. Onoue et al. 2017, ApJ, 847L, 15 “Minor Contribution of Quasars to Ionizing Photon Budget at z ̃ 6: Update on Quasar Luminosity Function at the Faint End with Subaru/Suprime-Cam“
5. Tanaka et al. 2017, arXiv170600566 “Deep Optical Imaging of the COSMOS Field with Hyper Suprime-Cam Using Data from the Subaru Strategic Program and the University of Hawaii“
6. More et al. 2017, MNRAS, 465.2411 “A new quadruple gravitational lens from the Hyper Suprime-Cam Survey: the puzzle of HSC J115252+004733“
7. Toba et al. 2017, ApJ, 835, 36 “Clustering of Infrared-bright Dust-obscured Galaxies Revealed by the Hyper Suprime-Cam and WISE“

1. 2016:

1. Chan et al. 2016, ApJ, 832, 135 “Galaxy-scale Gravitational Lens Candidates from the Hyper Suprime-Cam Imaging Survey and the Galaxy And Mass Assembly Spectroscopic Survey“
2. Homma et al. 2016, ApJ, 832, 21 “A New Milky Way Satellite Discovered in the Subaru/Hyper Suprime-Cam Survey“
3. Matsuoka et al. 2016, ApJ, 828, 26 “Subaru High-z Exploration of Low-luminosity Quasars (SHELLQs). I. Discovery of 15 Quasars and Bright Galaxies at 5.7 < z < 6.9“
4. Tanaka et al. 2016, ApJ, 826L, 19 “A Spectroscopically Confirmed Double Source Plane Lens System in the Hyper Suprime-Cam Subaru Strategic Program“
5. Harikane et al. 2016, ApJ, 821, 123 “Evolution of Stellar-to-Halo Mass Ratio at z = 0 – 7 Identified by Clustering Analysis with the Hubble Legacy Imaging and Early Subaru/Hyper Suprime-Cam Survey Data“

1. 2015:

1. Toba et al. 2015PASJ, 67, 86 “Hyper-luminous dust-obscured galaxies discovered by the Hyper Suprime-Cam on Subaru and WISE“

1. 2019-10-22 – The ‘Cores’ of Massive Galaxies Had Already Formed 1.5 Billion Years after the Big Bang (Tanaka et al. 2019)
2. 2019-10-22 – The Whole Picture of Distant Supercluster in Three Dimensions (Hayashi et al. 2019)
3. 2019-09-26 – Oldest Galaxy Protocluster forms “Queen’s Court” (Harikane et al. 2019)
4. 2019-06-20 – Subaru Telescope Identifies the Outermost Edge of our Milky Way System (Fukushima et al. 2019)
5. 2019-05-29 – Subaru Telescope Captures 1800 Exploding Stars (Yasuda et al. 2019, PASJ)
6. 2019-03-13 – Astronomers Discover 83 Supermassive Black Holes in the Early Universe (Matsuoka et al. 2019, etc.)
7. 2018-09-25 – Cosmological Constraints from the First-Year Hyper Suprime-Cam (Hikage et al. 2019)
8. 2018-03-12 – Double or Nothing: Astronomers Rethink Quasar Environment (Toshikawa et al. 2018)
9. 2018-03-01 – Unprecedentedly Wide and Sharp Dark Matter Map (Miyatake et al. 2018; Oguri et al. 2018)
10. 2017-10-04 – Surface Helium Detonation Spells End for White Dwarf (Jiang et al. 2017)
11. 2017-02-27 – First Public Data Release by the Hyper Suprime-Cam Subaru Strategic Program
12. 2016-11-21 – Record-breaking Faint Satellite Galaxy of the Milky Way Discovered (Homma et al. 2016)
13. 2016-07-25 – Ancient Eye in the Sky (Tanaka et al. 2016)
14. 2015-08-26 – Discovering Dust-Obscured Active Galaxies as They Grow (Toba et al. 2015)

Updated 2020-01-16