// This code is generated by generate_code.py, do not modify it manually.
//! This module contains all the known columns in the lamost_dr9_lrs table.
use crate::traits::{Column, Table};
/// LAMOST Low-Resolution Spectroscopic Survey General Catalogue Data Release 9. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) is a Chinese national scientific research facility operated by the National Astronomical Observatories, Chinese Academy of Sciences. It is a special reflecting Schmidt telescope with 4000 fibers in a field of view of 20 degrees. The LAMOST survey provides flux- and wavelength-calibrated, sky-subtracted spectra in the wavelength range 3690-9100 Angstrom for many types of astronomical objects. The ninth LAMOST data release (LAMOST DR9) includes observations until June 2021. The Low-Resolution spectroscopic Survey (LRS) General Catalogue contains 11,211,028 spectra, of which 10,893,354 are stars, 241,454 are galaxies, and 76,220 are QSOs. For more information, please consult the LAMOST homepage: https://www.lamost.org/dr9/
#[allow(non_camel_case_types)]
pub struct lamost_dr9_lrs;
impl Table for lamost_dr9_lrs {
fn string(&self) -> String {
"lamost_dr9_lrs".to_string()
}
}
/// The columns in the lamost_dr9_lrs table.
#[allow(non_camel_case_types)]
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, strum::Display)]
pub enum Col {
/// The postcard_url column. (No further description available)
postcard_url,
/// The product_url column. (No further description available)
product_url,
/// Unique Spectra ID
obsid,
/// Unique source identifier calculated with the "ura" and "udec" in table 10
uid,
/// For each LAMOST source, the equatorial coordinates ("ura" and "udec" in table 10) used to calculate "uid" were from which survey (Pan-STARRS, Gaia or LAMOST), "gp_id" gives the corresponding source identifier in that survey.
gp_id,
/// Target designation
designation,
/// Target Observation Date
obsdate,
/// Local modified Julian day
lmjd,
/// Modified Julian Day
mjd,
/// Plan Name
planid,
/// Spectrograph ID
spid,
/// Fiber ID of object
fiberid,
/// Fiber pointing right ascension
ra_obs,
/// Fiber pointing declination
dec_obs,
/// Signal-to-noise ratio of u filter
snru,
/// Signal-to-noise ratio of g filter
snrg,
/// Signal-to-noise ratio of r filter
snrr,
/// Signal-to-noise ratio of i filter
snri,
/// Signal-to-noise ratio of z filter
snrz,
/// Spectral type
class,
/// Stellar spectral type
subclass,
/// Redshift
z,
/// Redshift uncertainty
z_err,
/// The objID in the Pan-STARRS catalog
ps_id,
/// Pan-STARRS g band magnitude
mag_ps_g,
/// Pan-STARRS r band magnitude
mag_ps_r,
/// Pan-STARRS i band magnitude
mag_ps_i,
/// Pan-STARRS z band magnitude
mag_ps_z,
/// Pan-STARRS y band magnitude
mag_ps_y,
/// Fiber Type of target [Obj, Sky, F-std, Unused, PosErr, Dead]
fibertype,
/// Whether there is a fiber offset during observation
offsets,
/// If the "offsets" field is true, "offsets_v" gives the offset distance from the target’s coordinator in input catalog
offsets_v,
/// Right Ascension from input catalog
ra,
/// Declination from input catalog
dec,
/// Possible fiber problems
fibermask,
/// It has two values of 0 and 1, 1 represents the FITS file provides the normalized spectrum, and 0 means it does not. The normalized flux is in the data array of extension 1.
with_norm_flux,
}
impl Column for Col {}
#[cfg(test)]
/// Collects all the known columns in the lamost_dr9_lrs table.
pub fn collect_known(map: &mut std::collections::HashMap<String, Vec<String>>) {
let mut col_strings = Vec::new();
col_strings.push(Col::postcard_url.to_string());
col_strings.push(Col::product_url.to_string());
col_strings.push(Col::obsid.to_string());
col_strings.push(Col::uid.to_string());
col_strings.push(Col::gp_id.to_string());
col_strings.push(Col::designation.to_string());
col_strings.push(Col::obsdate.to_string());
col_strings.push(Col::lmjd.to_string());
col_strings.push(Col::mjd.to_string());
col_strings.push(Col::planid.to_string());
col_strings.push(Col::spid.to_string());
col_strings.push(Col::fiberid.to_string());
col_strings.push(Col::ra_obs.to_string());
col_strings.push(Col::dec_obs.to_string());
col_strings.push(Col::snru.to_string());
col_strings.push(Col::snrg.to_string());
col_strings.push(Col::snrr.to_string());
col_strings.push(Col::snri.to_string());
col_strings.push(Col::snrz.to_string());
col_strings.push(Col::class.to_string());
col_strings.push(Col::subclass.to_string());
col_strings.push(Col::z.to_string());
col_strings.push(Col::z_err.to_string());
col_strings.push(Col::ps_id.to_string());
col_strings.push(Col::mag_ps_g.to_string());
col_strings.push(Col::mag_ps_r.to_string());
col_strings.push(Col::mag_ps_i.to_string());
col_strings.push(Col::mag_ps_z.to_string());
col_strings.push(Col::mag_ps_y.to_string());
col_strings.push(Col::fibertype.to_string());
col_strings.push(Col::offsets.to_string());
col_strings.push(Col::offsets_v.to_string());
col_strings.push(Col::ra.to_string());
col_strings.push(Col::dec.to_string());
col_strings.push(Col::fibermask.to_string());
col_strings.push(Col::with_norm_flux.to_string());
map.insert(lamost_dr9_lrs.string(), col_strings);
}