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J/PASJ/64/63     Dwarf novae characterization using SDSS colors   (Kato+, 2012)

Characterization of dwarf novae using SDSS colors. Kato T., Maehara H., Uemura M. <Publ. Astron. Soc. Jap., 64, 63 (2012)> =2012PASJ...64...63K
ADC_Keywords: Novae ; Photometry, SDSS Keywords: methods: statistical - stars: dwarf novae - stars: evolution - stars: novae, cataclysmic variables - surveys Abstract: We have developed a method for estimating the orbital periods of dwarf novae from the Sloan Digital Sky Survey (SDSS) colors in quiescence using an artificial neural network. For typical objects below the period gap with sufficient photometric accuracy, we were able to estimate the orbital periods with accuracy to a 1σ error of 22%. The error of the estimation is worse for systems with longer orbital periods. We have also developed a neural-network-based method for categorical classification. This method has proven to be efficient in classifying objects into three categories (WZ Sge type, SU UMa type, and SS Cyg/Z Cam type), and works for very faint objects to a limit of g=21mag. Using this method, we have investigated the distribution of the orbital periods of dwarf novae from a modern transient survey (Catalina Real-Time Survey). File Summary:
FileName Lrecl Records Explanations
ReadMe 80 . This file table2.dat 45 41 Averaged Porb estimates for objects with more SDSS scans than four table3.dat 114 1236 List of dwarf novae table4.dat 98 1236 Estimated extinction and neural-network classification table5.dat 41 123 Catalina Real-Time Survey (CRTS) sources for the estimation of the intrinsic Porb distribution table7.dat 92 243 Identification list of optical transients
See also: http://nesssi.cacr.caltech.edu/catalina/ : Catalina Real-Time Survey (CRTS) Byte-by-byte Description of file: table2.dat
Bytes Format Units Label Explanations
1- 25 A25 --- Name Object name 26 A1 --- n_Name [+] Note on Name (G1) 28- 29 I2 --- N Number of SDSS scans 31- 35 F5.3 d Pest Average orbital period (Porb) estimate 36 A1 --- --- [(] 37- 38 I2 10-3d sdPest Standard deviation of estimated Porb 39 A1 --- --- [)] 41- 45 F5.3 d e_Pest Mean error of neutral network analysis on Pest
Byte-by-byte Description of file: table3.dat
Bytes Format Units Label Explanations
1- 26 A26 --- Name Object name 27 A1 --- n_Name [+] Note on Name (G1) 29- 34 F6.3 mag umag SDSS u magnitude 36- 40 F5.3 mag e_umag rms uncertainty on umag 43- 48 F6.3 mag gmag ?=- SDSS g magnitude 50- 53 F4.3 mag e_gmag ? rms uncertainty on gmag 56- 61 F6.3 mag rmag ?=- SDSS r magnitude 63- 66 F4.3 mag e_rmag ? rms uncertainty on rmag 69- 74 F6.3 mag imag ?=- SDSS i magnitude 76- 80 F5.3 mag e_imag ? rms uncertainty on imag 83- 88 F6.3 mag zmag SDSS z magnitude 90- 94 F5.3 mag e_zmag rms uncertainty on zmag 97-102 F6.4 d Porb ?=- Orbital period 103 A1 --- n_Porb [h] h = Determined from superhump period 105-109 F5.3 d Pest ?=- Orbital period estimated with neural network 111-114 F4.3 d e_Pest ? rms uncertainty on Pest
Byte-by-byte Description of file: table4.dat
Bytes Format Units Label Explanations
1- 26 A26 --- Name Object name 27 A1 --- n_Name [+] Note on Name (G1) 29- 34 F6.3 mag gmag ?=- SDSS g magnitude 36- 39 F4.3 mag e_gmag ? rms uncertainty on gmag 42- 46 I5 pc Dist Distance 48 I1 --- n_Dist [1/6] Distance estimation method (2) 50- 54 F5.3 mag AV Absorption in V band 56- 61 F6.4 d Porb ?=- Orbital period 62 A1 --- n_Porb [h] h: determined from superhump period 64- 68 F5.3 --- PU [0/1]?=- Probability of being of WZ Sge type (ultrashort period Porb<0.06d) 70- 73 F4.3 --- e_PU [0/1]? rms uncertainty on PU 76- 80 F5.3 --- PS [0/1]?=- Probability of being of SU UMa type (short period, 0.06≤Porb<0.10d) 82- 86 F5.3 --- e_PS [0/1]? rms uncertainty on PS 89- 93 F5.3 --- PL [0/1]?=- Probability of being of SS Cyg type (long period, Porb≥0.10d) 95- 98 F4.3 --- e_PL [0/1]? rms uncertainty PL
Note (2): Method of distance estimation as follows: 1 = from Patterson (2011MNRAS.411.2695P) and other references (see text) 2 = determined from Porb and maximum magnitude 3 = from estimated Porb and maximum magnitude 4 = from Porb and minimum magnitude 5 = from estimated Porb and minimum magnitude 6 = assuming maximum MV≃4.95
Byte-by-byte Description of file: table5.dat
Bytes Format Units Label Explanations
1- 5 F5.1 min Pest Estimated period 7 A1 --- f_Pest [~] Limit flag on e_Pest 8- 11 F4.1 min e_Pest rms uncertainty on Pest 13- 14 I2 --- N Number of outbursts recorded by CRTS (Catalina Real-Time Survey) 15 A1 --- u_N Uncertainty flag on N 18- 41 A24 --- Name Object name
Byte-by-byte Description of file: table7.dat
Bytes Format Units Label Explanations
1- 19 A19 --- Name Object name 21- 43 A23 --- ID Identification name 45- 92 A48 --- Disc Discoverer
Global notes: Note (G1): + : Dwarf nova proposed by Wils et al., 2010MNRAS.402..436W.
History: From electronic version of the journal
(End) Patricia Vannier [CDS] 19-Sep-2012
The document above follows the rules of the Standard Description for Astronomical Catalogues.From this documentation it is possible to generate f77 program to load files into arrays or line by line

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