Filter Profile Service
Carlos Rodrigo
A repository of Filter information for the VO.
Grant PID2020-112494GBI00 funded by
Astronomy (7905)Planetary science (616)Earth Obs. (2452)

Keck :W.M. Keck Observatory
Keck/LRIS :The Low Resolution Imaging Spectrometer (LRIS) is a visible-wavelength imaging and spectroscopy instrument commissioned in 1993 and operating at the Cassegrain focus of Keck I. id:Keck/LRIS.a
GaiaXPy base XML file. You can download here the GaiaXPy base XML file for the full Keck/LRIS filter set. Please, take a look to the GaiaXPy web page and additional documentation for more information.

Keck/LRIS.NB40003986.633991.734001.743600.614235.42336.563748.417.07e-9KeckLRISKeck LRIS NB4000 filter
Keck/LRIS.NB43254332.554332.754330.614276.824395.3674.433547.955.67e-9KeckLRISKeck LRIS NB4325 filter
Keck/LRIS.B4288.554336.484320.883267.935671.95962.523863.016.3e-9KeckLRISKeck LRIS B filter
Keck/LRIS.g4725.004750.654706.334216.715280.56888.254027.715.41e-9KeckLRISKeck LRIS g filter
Keck/LRIS.NB53905402.285402.485402.085325.245475.7980.353662.523.76e-9KeckLRISKeck LRIS NB5390 filter
Keck/LRIS.V5434.465469.065403.594765.156661.19957.243647.603.7e-9KeckLRISKeck LRIS V filter
Keck/LRIS.OG5706271.876313.416221.564401.226947.031224.203134.342.39e-9KeckLRISKeck LRIS OG570 filter
Keck/LRIS.R6368.106432.756303.935549.868419.731233.613099.842.29e-9KeckLRISKeck LRIS R filter
Filter Description

Filter ID (?) :Keck/LRIS.R
Description (?) :Keck LRIS R filter
Phot.System (?) :LRIS
Detector Type (?) :Energy counter
Band Name (?) :R
Obs. Facility (?) :Keck
Instrument (?) :LRIS
Comments (?) :------

Mathematical properties

Property Calculated Specified Unit
λref (?) : 6368.10 ------- (Angstrom)
λmean (?) : 6432.75 ------- (Angstrom)
λcen (?) : 6275.08 ------- (Angstrom)
λeff (?) : 6303.93 ------- (Angstrom)
λpeak (?) : 5947.98 ------- (Angstrom)
λpivot (?) : 6368.10 ------- (Angstrom)
λphot (?) : 6342.46 ------- (Angstrom)
λmin (?) : 5549.86 ------- (Angstrom)
λmax (?) : 8419.73 ------- (Angstrom)
Weff (?) : 1233.61 ------- (Angstrom)
FWHM (?) : 1185.42 ------- (Angstrom)
Af/AV (?) : 0.843 ------- ()
Fsun (?) : 161.89 ------- (erg/cm2/s/A)


Data file: ascii, VOTable

Reference for filter response: LRIS

Transmission components: Filterid:Keck/LRIS.R

You can download here the GaiaXPy base XML file for the full Keck/LRIS filter set.
Please, take a look to GaiaXPy documentation for more information.

- GaiaXPy base XML file.

Calibration properties

Vega System
PropertySpecified Calculated Unit
Zero Point (?) : ------- 2.2916e-9(erg/cm2/s/A)
  ------- 3099.84(Jy)
ZP Type (?) : Pogson
PhotCal ID (?) : Keck/LRIS.R/Vega

AB System
PropertySpecified Calculated Unit
Zero Point (?) : ------- 2.68427e-9(erg/cm2/s/A)
  ------- 3631.00(Jy)
ZP Type (?) : Pogson
PhotCal ID (?) : Keck/LRIS.R/AB

ST System
PropertySpecified Calculated Unit
Zero Point (?) : ------- 3.631e-9(erg/cm2/s/A)
  ------- 4911.63(Jy)
ZP Type (?) : Pogson
PhotCal ID (?) : Keck/LRIS.R/ST

Filter added: 2017-07-27 01:23:04
Last update: 2021-07-27 20:04:04
Keck/LRIS.NB67416739.796739.976739.616649.146828.5679.932907.631.92e-9KeckLRISKeck LRIS NB6741 filter
Keck/LRIS.Rs6764.476794.946734.346012.757673.381239.682874.851.88e-9KeckLRISKeck LRIS Rs filter
Keck/LRIS.GG4956762.007099.476435.044250.789257.904220.533034.241.99e-9KeckLRISKeck LRIS GG495 filter
Keck/LRIS.I7578.717605.257549.146754.288370.371188.682557.051.33e-9KeckLRISKeck LRIS I filter
Keck/LRIS.NB81858187.348187.628186.978061.678318.81109.272322.531.04e-9KeckLRISKeck LRIS NB8185 filter
Keck/LRIS.NB85608560.268560.568560.128433.708694.30110.222222.619.09e-10KeckLRISKeck LRIS NB8560 filter
Keck/LRIS.RG8509101.559124.799091.578248.349760.361240.492241.838.11e-10KeckLRISKeck LRIS RG850 filter
Keck/LRIS.NB91359155.029156.009153.258882.269467.67140.582321.918.31e-10KeckLRISKeck LRIS NB9135 filter
Keck/LRIS.NB91489154.749156.209152.718861.949501.15264.152259.118.08e-10KeckLRISKeck LRIS NB9148 filter

Filter Plots (using a common λ range)

(Plot them zoomed to their own λ range)

© SVO,   (SVO Privacy Policy),   10970 filters available,   Last update: 2023-06-19
If your research benefits from the use of the SVO Filter Profile Service, we would appreciate if you could include the following acknowledgement in your publication:

This research has made use of the SVO Filter Profile Service "Carlos Rodrigo", funded by MCIN/AEI/10.13039/501100011033/ through grant PID2020-112949GB-I00

and we would appreciate if you could include the following references in your publication: