Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Data and software: 'Measuring Fiber Positioning Accuracy and Throughput with Fiber Dithering for the Dark Energy Spectroscopic Instrument'

Authors: Schlafly, Edward;

Data and software: 'Measuring Fiber Positioning Accuracy and Throughput with Fiber Dithering for the Dark Energy Spectroscopic Instrument'

Abstract

Supplementary material to the DESI publication "Survey Operations for the Dark Energy Spectroscopic Instrument". The main "figures.py" script generates the figures in the paper from the included data files. The software relies on the DESI software stack available at github.com/desihub, and conveniently available at NERSC in the default DESI environment. The main fiber dither analysis code is currently housed in the 'desicmx' product on desihub (github.com/desihub/desicmx). Contents: A .tar.gz file, containing the following: Software files figures.py: Main dither analysis plotting routines. Uses the github.com/desihub/desicmx/analysis/dither package for some bits of the analysis. The "make_all_figures" routine generates all of the figures in the paper. util_efs.py: plotting routines Data files dither202*.fits: data & analysis results for each dither sequence. Each sequence is identified by the night it was taken on, and a number of files are produced for it. We describe one example here: dither20210916.fits All information entering into the fit from the sequence. Contains three extensions, one for each of the BRZ bands. Each extension contains the following: expid - exposure number exptime - shutter open length mjd_obs - MJD of exposure targetid - DESI target ID of target for each target camera - camera used for computing flux target_ra, target_dec - ra/dec of target fiber - fiber number objtype - morphological type of target from imaging; PSF for dither targets flux_g,r,z - imaging fluxes from Legacy Survey in grz bands spectroflux - spectroscopic flux from integrating over the DESI spectrum spectroflux_ivar - inverse variance corresponding to spectroflux delta_{x,y}_arcsec - intended fiber dither {x,y}focal - position of fiber in focal plane dither20210916-{B/R/Z}.fits - dither analysis for each of the BRZ filters. Two extensions. First extension: dither analysis results. Contains: {x,y}tel: fit telescope offsets (arcsec) d{x,y}tel: uncertainty in {x,y}tel targetid: DESI target id transparency - fit transparency for each exposure dtransparency - uncertainty in transparency psfparam - fit PSF parameters; array of [FWHM, Moffat index, ellipticity in the x direction, ellipticity in the y direction] dpsfparam - uncertainties in psf parameters starflux - predicted total star fluxes before transparency & fiber aperture losses dstarflux - uncertainties in starflux {x,y}fiboff - predicted systematic fiber offset (the ~chief result of this work) d{x,y}fiboff - the uncertainty in {x,y}fiboff chi2fib - the chi^2 of the fit for this fiber chi2fibnull - the chi^2 of the fit for this fiber for an extremely dumb null hypothesis where the true flux entering the fiber is always equal to zero. guessflux - a guess for the starflux based on the imaging magnitude; basically the imaging flux times an appropriate constant depending on the size of the DESI mirror, the width of the spectral bandpass, and the DESI system throughput fiber - the fiber number expid - the exposure number fiber_ditherfit_{ra,dec} - the predicted ra & dec of each fiber, incorporating the intended location, the telescope offsets, the intentional dither offsets, and the systematic positioning offset modflux - the model flux entering the fiber for each target & exposure. Second extension: the data on which the dither results are based. This is just copied from the ditherYYYYMMDD.fits files for the appropriate filter, and selected down to just the fibers for which there was enough information to do the full fiber dither fit. gfa-matched-coadds-ditheronly.fits: information recorded by the DESI guide-focus-array cameras for each dither exposure. Fields used by the dither analysis include: expid - the exposure id night - the night the exposure was taken on fwhm_asec - the FWHM measured by the guider in arcsec fiber_fracflux - the fraction of the flux the guider estimates would enter the fiber for a point source perfectly centered in the aperture transparency - the transparency of the exposure estimated from the guider airmass - the airmass of the exposure simulation-results.pkl: results from the simulation. This is a nasty python dictionary. The top level of the dictionary contains the name of the scheme that was tested, with names like 'triangles 0.8' saying that it corresponds to the 'triangles' scheme of dithers with a scale of 0.8 arcseconds. Each entry contains a list of two items. The first item is the simulation truth values, and the second item is the fit results. truth items: data: subset of information in data files needed for dither analysis xtel, ytel, fwhm, transparency, xfiboff, yfiboff, starflux: true parameters for each exposure and target in the simulation fit items: xtel, dxtel, ytel, dytel, transparency, dtransparency, psfparam, dpsfparam, starflux, dstarflux, xfiboff, dxfiboff, yfiboff, dyfiboff, chi2fib, chi2fibnull, guessflux, fiber, expid, fiber_ditherfit_ra, fiber_ditherfit_dec, modflux These are all documented above in the dither analysis results. data/wave*.dat: optical ray tracing results. The dither figure uses the 'xave' and 'yave' values, which correspond to the locations in the focal plane that the ray tracing predicts each ray will land. The different files correspond to different wavelengths, positions on the sky, and dates. Dependencies: The included software uses the 'desimeter' and 'desimodel' packages, available on github through the desihub organization. Otherwise it depends on the usual astronomy software stack: numpy scipy matplotlib astropy. Alternatively, people with access to NERSC can load the default DESI environment and pull in all needed dependencies.

Keywords

Astronomy

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average