DARTS/Astro Query System - SQL Search -

All the tables available for SQL Search and information on each table are listed in the Available Data page. Please see the User Guide for the usage of "SQL Search".

Call example

【Basic Syntax】

 SELECT {*|column, column, column,..}
 FROM table name
 [ WHERE conditions ]
 [ ORDER BY column, column,... ]
 [ LIMIT {ALL|number} ] [ OFFSET number ]
 ;

---------------------------------------------------------

This is an example query to obtain the first 10 rows of 
akari_fis_bsc_1 using radial search.

The akari_fis_bsc_1 is an catalogue, and each data has 
the coorinate position of the object. So, search the objects 
contained in the circle area you specify there.

Columns to display -> all
  Table name -> akari_fis_bsc_1
  Search condition -> radial search, 
   center position is (266.0, -28,0) and radius is 10 arcmin
  Displayed results -> from 1st to 10th

---------------------------------------------------------
Point:
  You can use functions of PgSphere(https://pgsphere.github.io/)
  on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b = '1' ... a contained by b
    a !@ b = '1' ... a is not contained by b
    a && b = '1' ... overlaped each other
    a !&& b = '1' ... do not overlaped each other

Ths function radians needs a parameter in degree.
  Operator '/' means division. 
  Note: integer division truncates the result.
   10.0 / 60.0 = 0.16666...
   10 / 60 = 0

---------------------------------------------------------

This is an example query to obtain the first 10 rows of 
ginga_observation_log using radial search.

The ginga_observation_log has pointing observations and 
scan observation. Each data has the coorinate of the 
observation start point and the end point, and the 
average point. So, search the pointing position contained 
in the circle area you specified, or the scan-path crossed 
over the area.

Columns to display -> all
  Table name -> ginga_observation_log
  Search condition -> radial search,
  center position is M31(10.7, 41.2) and radius is 1 degree
  Displayed results -> from 1st to 10th

---------------------------------------------------------
Point:
  You can use functions of PgSphere(https://pgsphere.github.io/)
  on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b  ... a contained by b
    a !@ b ... a is not contained by b
    a && b ... overlaped each other
    a !&& b ... do not overlaped each other

---------------------------------------------------------

This is an example query to obtain the data near the 
galactic center of suzaku_xis_observation_log using radial search.

The SUZAKU XIS has rectanglar field of view with 18 arcmin 
x 18 arcmin. Each data of suzaku_xis_observation_log has 
the coorinate of each corner position about field of view.
So, search the rectanglar area overlapd the circle area 
you specified.

Columns to display -> all
  Table name -> suzaku_xis_observation_log
  Search condition -> radial search,
    center position is (0.0, 0.0) with Galactic coordinates
    and radius is 1 arcmin
  Displayed results -> from 1st to 200th

---------------------------------------------------------
Point:

1. Use the column of Galactic coordinates.

2. You can use functions of PgSphere(https://pgsphere.github.io/)
   on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b  ... a contained by b
    a !@ b ... a is not contained by b
    a && b ... overlaped each other
    a !&& b ... do not overlaped each other

---------------------------------------------------------

This is an example query to obtain the data nearthe 
galactic center of suzaku_xis_observation_log using radial search.

The SUZAKU XIS has rectanglar field of view with 18 arcmin 
x 18 arcmin. Each data of suzaku_xis_observation_log has the 
coorinate of each corner position about field of view. 
So, search the rectanglar area overlapd the rectanglar area 
you specified.

Columns to display -> object_name, center_galactic_lon, 
   center_galactic_lat, data_access_url
  Table name -> suzaku_xis_observation_log
  Search condition -> rectanglar search,
    0.1(deg) <= Galactic Latitude <= .0.1(deg)
    and 0.1(deg) <= Galactic Latitude <= 0.1(deg)
  Displayed results -> from 1st to 100th

---------------------------------------------------------
Point:
  You can use functions of PgSphere(https://pgsphere.github.io/)
  on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b  ... a contained by b
    a !@ b ... a is not contained by b
    a && b ... overlaped each other
    a !&& b ... do not overlaped each other

---------------------------------------------------------

This is an example query to obtain the first 10 rows of 
akari_fis_bsc_1 using radial search.

The akari_fis_bsc_1 is an catalogue, and each data has 
the coorinate position of the object. So, search the objects 
contained in the circle area you specify there.

Columns to display -> all
  Table name -> akari_fis_bsc_1
  Search condition -> radial search, 
   center position is (266.0, -28,0) and radius is 10 arcmin
  Displayed results -> from 1st to 10th

---------------------------------------------------------
Point:
  You can use functions of PgSphere(https://pgsphere.github.io/)
  on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b = '1' ... a contained by b
    a !@ b = '1' ... a is not contained by b
    a && b = '1' ... overlaped each other
    a !&& b = '1' ... do not overlaped each other

Ths function radians needs a parameter in degree.
  Operator '/' means division. 
  Note: integer division truncates the result.
   10.0 / 60.0 = 0.16666...
   10 / 60 = 0

---------------------------------------------------------

This is an example query to obtain the first 10 rows of 
ginga_observation_log using radial search.

---------------------------------------------------------
Point:
  You can use functions of PgSphere(https://pgsphere.github.io/)
  on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b  ... a contained by b
    a !@ b ... a is not contained by b
    a && b ... overlaped each other
    a !&& b ... do not overlaped each other

---------------------------------------------------------

This is an example query to obtain the data near the 
galactic center of suzaku_xis_observation_log using radial search.

---------------------------------------------------------
Point:

1. Use the column of Galactic coordinates.

2. You can use functions of PgSphere(https://pgsphere.github.io/)
   on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b  ... a contained by b
    a !@ b ... a is not contained by b
    a && b ... overlaped each other
    a !&& b ... do not overlaped each other

---------------------------------------------------------

This is an example query to obtain the data nearthe 
galactic center of suzaku_xis_observation_log using radial search.

The SUZAKU XIS has rectanglar field of view with 18 arcmin 
x 18 arcmin. Each data of suzaku_xis_observation_log has the 
coorinate of each corner position about field of view. 
So, search the rectanglar area overlapd the rectanglar area 
you specified.

---------------------------------------------------------
Point:
  You can use functions of PgSphere(https://pgsphere.github.io/)
  on this system.

Data types:
    Point   ... spoint(coordinate, coordinate)
    Path    ... spath(spoint(), spoint(), ...)
    Circle  ... scircle(spoint(), radius)
    Polygon ... spoly(spoint(), spoint(), ...)

Operators:
    a @ b  ... a contained by b
    a !@ b ... a is not contained by b
    a && b ... overlaped each other
    a !&& b ... do not overlaped each other

---------------------------------------------------------

SQL query

Format

total 1

Download WgetScript

No.	observation_id	object_name	center_ra	center_dec	center_ra_b1950	center_dec_b1950	center_ecliptic_lon	center_ecliptic_lat	center_galactic_lon	center_galactic_lat	roll_angle	observation_start_time_mjd	observation_start_time	observation_end_time_mjd	observation_end_time	exposure	awarded_exposure	resolve_exposure	resolve_data_mode	resolve_with_filter_be	resolve_with_filter_fe55	resolve_with_filter_nd	resolve_with_filter_poly	resolve_with_filter_open	resolve_with_filter_undef	is_resolve_gatevalve_closed	is_resolve_mxs1	is_resolve_mxs2	is_resolve_mxs3	is_resolve_mxs4	resolve_code	gen_code	processing_status	processing_date	public_date	distribution_date	processing_version	caldb_version	processing_software	proposal_id	proposal_abstract	proposal_category	proposal_category_code	proposal_priority	pi_name	co_pi_name	proposal_affiliated_country	proposal_cycle	proposal_type	proposal_title	observation_status	data_access_url	ql_access_url	ql_image_url	corner1_ra	corner1_dec	corner2_ra	corner2_dec	corner3_ra	corner3_dec	corner4_ra	corner4_dec	corner5_ra	corner5_dec	corner6_ra	corner6_dec	corner1_ra_b1950	corner1_dec_b1950	corner2_ra_b1950	corner2_dec_b1950	corner3_ra_b1950	corner3_dec_b1950	corner4_ra_b1950	corner4_dec_b1950	corner5_ra_b1950	corner5_dec_b1950	corner6_ra_b1950	corner6_dec_b1950	corner1_ecliptic_lon	corner1_ecliptic_lat	corner2_ecliptic_lon	corner2_ecliptic_lat	corner3_ecliptic_lon	corner3_ecliptic_lat	corner4_ecliptic_lon	corner4_ecliptic_lat	corner5_ecliptic_lon	corner5_ecliptic_lat	corner6_ecliptic_lon	corner6_ecliptic_lat	corner1_galactic_lon	corner1_galactic_lat	corner2_galactic_lon	corner2_galactic_lat	corner3_galactic_lon	corner3_galactic_lat	corner4_galactic_lon	corner4_galactic_lat	corner5_galactic_lon	corner5_galactic_lat	corner6_galactic_lon	corner6_galactic_lat	resolve_adr_mode	resolve_thr_name	resolve_shp_date
1	201035010	AM_HER	274.05585	49.86801	273.7444	49.84906	279.06429	73.17969	77.86492	25.87586	243.25009	60604.98060	2024-10-21 23:32:04	60609.02157	2024-10-26 00:31:04	198.631	160.000	198.631	PX_NORMAL	N	Y	N	N	Y	Y	Y	OFF	OFF	OFF	OFF	313430	11310	PROCESSED	2024-10-31 14:24:14	2025-11-02 00:00:00	2024-11-01 14:24:15	03.00.013.009	gen20240315_xtd20240815_rsl20240815	Hea_21Aug2024_V6.34_XRISM_21Aug2024_V001	000013001	The accretion columns in magnetic cataclysmic variables (MCVs) serve as prime laboratories for examining cooling-flow collisional-ionization-equilibrium (CIE) plasma. Fe-K lines, originating from the hot top region of the column, are essential for the diagnostics. We propose a 160 ksec observation of AM Her to achieve the following science goals: 1) Benchmarking the cooling-flow CIE plasma through temperature and density diagnostics, 2) Analyzing shock heating via Doppler velocity measurements of pre/post-shock materials, 3) Determining plasma shape through optically-thick resonance lines within optically-thin plasma, 4) Inferring white dwarf composition from the Compton hump.	ACCRETING WHITE DWARFS AND NOVAE	2	A	YUKIKATSU TERADA	KAYA MORI	JUS	1	NOR-TOO	DIAGNOSTICS OF COOLING-FLOW COLLISIONAL-IONIZATION EQUILIBRIUM PLASMA IN MAGNETIC CATACLYSMIC VARIABLES	archived	https://data.darts.isas.jaxa.jp/pub/xrism/data/obs/rev3/2/201035010/	Quick Look		274.03906	49.83523	274.11038	49.85836	274.08047	49.89649	274.06871	49.89263	274.06288	49.90022	274.00337	49.88101	273.72724	49.81636	273.7988	49.83914	273.76935	49.87742	273.75755	49.87361	273.75181	49.88123	273.6921	49.86231	279.01612	73.14812	279.18188	73.16665	279.12852	73.20649	279.10112	73.20339	279.09075	73.21131	278.95225	73.1959	77.82677	25.87953	77.86269	25.83947	77.89958	25.86636	77.89361	25.87295	77.90098	25.87822	77.87113	25.91166	HELIUM	A75A	2021-12-13 00:00:00

Used SQL

SELECT * FROM xrism_resolve_data WHERE observation_id = '201035010'

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