Conversion of standardized ReadMe file for
file /./ftp/cats/J/ApJ/562/528 into FORTRAN code for loading all data files into arrays.
Note that special values are assigned to unknown or unspecified
numbers (also called NULL numbers);
when necessary, the coordinate components making up the right ascension
and declination are converted into floating-point numbers
representing these angles in degrees.
program load_ReadMe
C=============================================================================
C F77-compliant program generated by readme2f_1.81 (2015-09-23), on 2024-Apr-19
C=============================================================================
* This code was generated from the ReadMe file documenting a catalogue
* according to the "Standard for Documentation of Astronomical Catalogues"
* currently in use by the Astronomical Data Centers (CDS, ADC, A&A)
* (see full documentation at URL http://vizier.u-strasbg.fr/doc/catstd.htx)
* Please report problems or questions to
C=============================================================================
implicit none
* Unspecified or NULL values, generally corresponding to blank columns,
* are assigned one of the following special values:
* rNULL__ for unknown or NULL floating-point values
* iNULL__ for unknown or NULL integer values
real*4 rNULL__
integer*4 iNULL__
parameter (rNULL__=--2147483648.) ! NULL real number
parameter (iNULL__=(-2147483647-1)) ! NULL int number
integer idig ! testing NULL number
C=============================================================================
Cat. J/ApJ/562/528 Teff and log(g) of low-metallicity stars (Snider+, 2001)
*================================================================================
*Three-dimensional spectral classification of low-metallicity stars using
*artificial neural networks.
* Snider S., Allende Prieto C., von Hippel T., Beers T.C., Sneden C.,
* Qu Y., Rossi S.
* <Astrophys. J. 562, 528 (2001)>
* =2001ApJ...562..528S
C=============================================================================
C Internal variables
integer*4 i__
c - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
C Declarations for 'table2.dat' ! Catalog and ANN parameters for the training sample
integer*4 nr__
parameter (nr__=209) ! Number of records
character*55 ar__ ! Full-size record
character*12 Name (nr__) ! Metal-poor star name
character*1 Source (nr__) ! Spectrum source (1)
character*1 f_Source (nr__) ! [*] Indicates star is a member of the `nearby'
* subsample
integer*4 CTeff (nr__) ! (K) The catalog effective temperature
character*1 f_CTeff (nr__) ! [:] Indicates a large discrepancy with ATeff
integer*4 ATeff (nr__) ! (K) The artificial neural network effective
* temperature
character*1 f_ATeff (nr__) ! [:] Indicates a large discrepancy with CTeff
real*4 Clog_g (nr__) ! ([cm/s2]) Log of the catalog surface gravity
character*1 f_Clog_g (nr__) ! [:] Indicates a large discrepancy with Alog(g)
real*4 Alog_g (nr__) ! ([cm/s2]) Log of the artificial neural network
* surface gravity
character*1 f_Alog_g (nr__) ! [:] Indicates a large discrepancy with Clog(g)
real*4 CFe_H (nr__) ! Catalog [Fe/H] (2)
character*1 f_CFe_H (nr__) ! [:] Indicates a large discrepancy with AFe/H
real*4 AFe_H (nr__) ! Artificial neural network [Fe/H] (2)
character*1 f_AFe_H (nr__) ! [:] Indicates a large discrepancy with CFe/H
*Note (1): Table 1: The spectroscopic data sets
* ------------------------------------------------------------------------------
* Telescope Detector Coverage Disersion Number
* ({AA}) ({AA}/px)
* ------------------------------------------------------------------------------
* E: ESO 1.5 m Ford + Loral 2048x2048 3750-4750 0.65+0.50 52
* K: KPNO 2.1 m Tek 2048x2048 3750-5000 0.65 115
* L: LCO 2.5 m Reticon + 2D-Frutti 3700-4500 0.65 50
* O: ORM INT 2.5 m Tek 1024x1024 3750-4700 0.85 3
* P: PAL 5 m Reticon + 2D-Frutti 3700-4500 0.65 3
* S: SSO 2.3 m SITe 1752x532 3750-4600 0.50 58
* ------------------------------------------------------------------------------
* Note : ESO: European Southern Observatory (Chile)
* KPNO: Kitt Peak National Observatory (USA)
* LCO: Las Campanas Observatory (Chile)
* ORM: Observatorio del Roque de los Muchachos (Spain)
* PAL: Palomar Observatory (USA)
* SSO: Siding Spring Observatory (Australia)
* ------------------------------------------------------------------------------
*Note (2): Where [Fe/H] = log(N(Fe)/N(H))_star_ - log(N(Fe)/N(H))_sun_
c - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
C Declarations for 'table3.dat' ! Catalog and ANN parameters for the testing sample
integer*4 nr__1
parameter (nr__1=70) ! Number of records
character*55 ar__1 ! Full-size record
character*12 Name_1 (nr__1) ! Metal-poor star name
character*1 Source_1 (nr__1) ! Spectrum source (1)
character*1 f_Source_1 (nr__1) ! [*] Indicates star is a member of the `nearby'
* subsample
integer*4 CTeff_1 (nr__1) ! (K) The catalog effective temperature
character*1 f_CTeff_1 (nr__1) ! [:] Indicates a large discrepancy with ATeff
integer*4 ATeff_1 (nr__1) ! (K) The artificial neural network effective
* temperature
character*1 f_ATeff_1 (nr__1) ! [:] Indicates a large discrepancy with CTeff
real*4 Clog_g_1 (nr__1) ! ([cm/s2]) Log of the catalog surface gravity
character*1 f_Clog_g_1 (nr__1) ! [:] Indicates a large discrepancy with Alog(g)
real*4 Alog_g_1 (nr__1) ! ([cm/s2]) Log of the artificial neural network
* surface gravity
character*1 f_Alog_g_1 (nr__1) ! [:] Indicates a large discrepancy with Clog(g)
real*4 CFe_H_1 (nr__1) ! Catalog [Fe/H] (2)
character*1 f_CFe_H_1 (nr__1) ! [:] Indicates a large discrepancy with AFe/H
real*4 AFe_H_1 (nr__1) ! Artificial neural network [Fe/H] (2)
character*1 f_AFe_H_1 (nr__1) ! [:] Indicates a large discrepancy with CFe/H
*Note (1): Table 1: The spectroscopic data sets
* ------------------------------------------------------------------------------
* Telescope Detector Coverage Disersion Number
* ({AA}) ({AA}/px)
* ------------------------------------------------------------------------------
* E: ESO 1.5 m Ford + Loral 2048x2048 3750-4750 0.65+0.50 52
* K: KPNO 2.1 m Tek 2048x2048 3750-5000 0.65 115
* L: LCO 2.5 m Reticon + 2D-Frutti 3700-4500 0.65 50
* O: ORM INT 2.5 m Tek 1024x1024 3750-4700 0.85 3
* P: PAL 5 m Reticon + 2D-Frutti 3700-4500 0.65 3
* S: SSO 2.3 m SITe 1752x532 3750-4600 0.50 58
* ------------------------------------------------------------------------------
* Note : ESO: European Southern Observatory (Chile)
* KPNO: Kitt Peak National Observatory (USA)
* LCO: Las Campanas Observatory (Chile)
* ORM: Observatorio del Roque de los Muchachos (Spain)
* PAL: Palomar Observatory (USA)
* SSO: Siding Spring Observatory (Australia)
* ------------------------------------------------------------------------------
*Note (2): Where [Fe/H] = log(N(Fe)/N(H))_star_ - log(N(Fe)/N(H))_sun_
C=============================================================================
C Loading file 'table2.dat' ! Catalog and ANN parameters for the training sample
C Format for file interpretation
1 format(
+ A12,1X,A1,1X,A1,1X,I4,A1,1X,I4,A1,1X,F4.2,A1,1X,F4.2,A1,1X,
+ F5.2,A1,1X,F5.2,A1)
C Effective file loading
open(unit=1,status='old',file=
+'table2.dat')
write(6,*) '....Loading file: table2.dat'
do i__=1,209
read(1,'(A55)')ar__
read(ar__,1)
+ Name(i__),Source(i__),f_Source(i__),CTeff(i__),f_CTeff(i__),
+ ATeff(i__),f_ATeff(i__),Clog_g(i__),f_Clog_g(i__),Alog_g(i__),
+ f_Alog_g(i__),CFe_H(i__),f_CFe_H(i__),AFe_H(i__),f_AFe_H(i__)
c ..............Just test output...........
write(6,1)
+ Name(i__),Source(i__),f_Source(i__),CTeff(i__),f_CTeff(i__),
+ ATeff(i__),f_ATeff(i__),Clog_g(i__),f_Clog_g(i__),Alog_g(i__),
+ f_Alog_g(i__),CFe_H(i__),f_CFe_H(i__),AFe_H(i__),f_AFe_H(i__)
c .......End.of.Just test output...........
end do
close(1)
C=============================================================================
C Loading file 'table3.dat' ! Catalog and ANN parameters for the testing sample
C Format for file interpretation
2 format(
+ A12,1X,A1,1X,A1,1X,I4,A1,1X,I4,A1,1X,F4.2,A1,1X,F4.2,A1,1X,
+ F5.2,A1,1X,F5.2,A1)
C Effective file loading
open(unit=1,status='old',file=
+'table3.dat')
write(6,*) '....Loading file: table3.dat'
do i__=1,70
read(1,'(A55)')ar__1
read(ar__1,2)
+ Name_1(i__),Source_1(i__),f_Source_1(i__),CTeff_1(i__),
+ f_CTeff_1(i__),ATeff_1(i__),f_ATeff_1(i__),Clog_g_1(i__),
+ f_Clog_g_1(i__),Alog_g_1(i__),f_Alog_g_1(i__),CFe_H_1(i__),
+ f_CFe_H_1(i__),AFe_H_1(i__),f_AFe_H_1(i__)
c ..............Just test output...........
write(6,2)
+ Name_1(i__),Source_1(i__),f_Source_1(i__),CTeff_1(i__),
+ f_CTeff_1(i__),ATeff_1(i__),f_ATeff_1(i__),Clog_g_1(i__),
+ f_Clog_g_1(i__),Alog_g_1(i__),f_Alog_g_1(i__),CFe_H_1(i__),
+ f_CFe_H_1(i__),AFe_H_1(i__),f_AFe_H_1(i__)
c .......End.of.Just test output...........
end do
close(1)
C=============================================================================
stop
end