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
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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. / Ono, Yoshiaki; Itoh, Ryohei; Shibuya, Takatoshi; Ouchi, Masami; Harikane, Yuichi; Yamanaka, Satoshi; Inoue, Akio K.; Amagasa, Toshiyuki; Miura, Daichi; Okura, Maiki; Shimasaku, Kazuhiro; Iwata, Ikuru; Taniguchi, Yoshiaki; Fujimoto, Seiji; Iye, Masanori; Jaelani, Anton T.; Kashikawa, Nobunari; Kikuchihara, Shotaro; Kikuta, Satoshi; Kobayashi, Masakazu A. R.; Kusakabe, Haruka; Lee, Chien-Hsiu; Liang, Yongming; Matsuoka, Yoshiki; Momose, Rieko; Nagao, Tohru; Nakajima, Kimihiko; Tadaki, Ken-ichi.
I: Astrophysical Journal, Bind 911, Nr. 2, 78, 09.04.2021.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - SILVERRUSH X
T2 - 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
AU - Ono, Yoshiaki
AU - Itoh, Ryohei
AU - Shibuya, Takatoshi
AU - Ouchi, Masami
AU - Harikane, Yuichi
AU - Yamanaka, Satoshi
AU - Inoue, Akio K.
AU - Amagasa, Toshiyuki
AU - Miura, Daichi
AU - Okura, Maiki
AU - Shimasaku, Kazuhiro
AU - Iwata, Ikuru
AU - Taniguchi, Yoshiaki
AU - Fujimoto, Seiji
AU - Iye, Masanori
AU - Jaelani, Anton T.
AU - Kashikawa, Nobunari
AU - Kikuchihara, Shotaro
AU - Kikuta, Satoshi
AU - Kobayashi, Masakazu A. R.
AU - Kusakabe, Haruka
AU - Lee, Chien-Hsiu
AU - Liang, Yongming
AU - Matsuoka, Yoshiki
AU - Momose, Rieko
AU - Nagao, Tohru
AU - Nakajima, Kimihiko
AU - Tadaki, Ken-ichi
PY - 2021/4/9
Y1 - 2021/4/9
N2 - We present a new catalog of 9318 Ly alpha emitter (LAE) candidates at z = 2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 that are photometrically selected by the SILVERRUSH program with a machine learning technique from large area (up to 25.0 deg(2)) imaging data with six narrowband filters taken by the Subaru Strategic Program with Hyper Suprime-Cam and a Subaru intensive program, Cosmic HydrOgen Reionization Unveiled with Subaru. We construct a convolutional neural network that distinguishes between real LAEs and contaminants with a completeness of 94% and a contamination rate of 1%, enabling us to efficiently remove contaminants from the photometrically selected LAE candidates. We confirm that our LAE catalogs include 177 LAEs that have been spectroscopically identified in our SILVERRUSH programs and previous studies, ensuring the validity of our machine learning selection. In addition, we find that the object-matching rates between our LAE catalogs and our previous results are similar or equal to 80%-100% at bright NB magnitudes of less than or similar to 24 mag. We also confirm that the surface number densities of our LAE candidates are consistent with previous results. Our LAE catalogs will be made public on our project webpage.
AB - We present a new catalog of 9318 Ly alpha emitter (LAE) candidates at z = 2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 that are photometrically selected by the SILVERRUSH program with a machine learning technique from large area (up to 25.0 deg(2)) imaging data with six narrowband filters taken by the Subaru Strategic Program with Hyper Suprime-Cam and a Subaru intensive program, Cosmic HydrOgen Reionization Unveiled with Subaru. We construct a convolutional neural network that distinguishes between real LAEs and contaminants with a completeness of 94% and a contamination rate of 1%, enabling us to efficiently remove contaminants from the photometrically selected LAE candidates. We confirm that our LAE catalogs include 177 LAEs that have been spectroscopically identified in our SILVERRUSH programs and previous studies, ensuring the validity of our machine learning selection. In addition, we find that the object-matching rates between our LAE catalogs and our previous results are similar or equal to 80%-100% at bright NB magnitudes of less than or similar to 24 mag. We also confirm that the surface number densities of our LAE candidates are consistent with previous results. Our LAE catalogs will be made public on our project webpage.
U2 - 10.3847/1538-4357/abea15
DO - 10.3847/1538-4357/abea15
M3 - Journal article
VL - 911
JO - Astrophysical Journal
JF - Astrophysical Journal
SN - 0004-637X
IS - 2
M1 - 78
ER -
ID: 260543103