{"id":497,"date":"2026-03-12T06:53:56","date_gmt":"2026-03-12T12:53:56","guid":{"rendered":"https:\/\/www.omairagonzalez.com\/?page_id=497"},"modified":"2026-06-05T13:27:11","modified_gmt":"2026-06-05T19:27:11","slug":"mrspsfisol","status":"publish","type":"page","link":"https:\/\/www.omairagonzalez.com\/index.php\/mrspsfisol\/","title":{"rendered":"MRSPSFIsol"},"content":{"rendered":"\n

Tool for the isolation of JWST\/MIRI and JWST\/NIRSpec data cubes. <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Details on the tool at our paper. It can be downloaed here<\/a><\/p>\n\n\n\n

Download:<\/h2>\n\n\n\n

Here<\/a> is the link to download the current version (version March 2026; 590MB)<\/p>\n\n\n\n

How to use it:<\/h2>\n\n\n\n

It is a python set of routines launched from shell script. It requires common python packages like numpy, math, matplotlib, etc. Write in your bash\/cshell: <\/p>\n\n\n\n

export MRSPSFISOLPATH=\/PATHTO\/mrspsfisol_v1
alias mrspsfisol=’csh ${MRSPSFISOLPATH}\/MRSPSFisol.csh’<\/p>\n\n\n\n

to ask for instructions on how to run it: <\/p>\n\n\n\n

mrspsfisol -h<\/p>\n\n\n\n

There are two ways to run this code:<\/p>\n\n\n\n

Mode 1<\/kbd><\/strong>: save a file with the following information:
OBJNAME OBSID(MIRI) OBSNUMER(TARGET MIRI) OBSNUMBER (BACK MIRI) OBSID(NIRSpec) OBSNUMER (NIRSPEC) RA DEC REDSHIFT
e.g.: NGC3081 01670 011 005 05017 005 149.8731682 -22.8263423 0.008149<\/p>\n\n\n\n

Mode 2<\/kbd><\/strong>: skip the name of the file and this info will be collected interactivelly.
note that OBSID should have 5 numbers and OBSNUMBER should have 3 numbers
to skip NIR or MIR write – for each number. e.g.: NGC3081 01670 011 005 —– — 149.8731682 -22.8263423 0.00814<\/p>\n\n\n\n

Data will be downloaded if public. Otherwise uncal files should be placed at DATA\/OBJNAME\/OBSID\/ for NIRSpec or at MIRIDATA\/OBJNAME\/OBSID\/ for MIRI\/IFU. Note that if you prefer to use your own calibrated files, the filenames should be matched carefully to go to the decomposition step (not recommended). The decomposition assumes a data cube for each channel and band at MIRI: ch1-short; ch1-medium; \u2026. Final extraction only for general visualization. It assumes that you have either MIRI or MIRI+NIRSpec. It won’t work for NIRSpec alone.<\/p>\n\n\n\n

Acknowledge: <\/h2>\n\n\n\n

Please, acknowledge the development of this tool by citing our paper: <\/p>\n\n\n\n

Gonz\u00e1lez-Mart\u00edn, O., et al. \u201cJWST reveals the diversity of nuclear obscuring dust in nearby AGN: nuclear isolation of MIRI\/MRS data cubes and continuum spectral fitting\u201d, Monthly Notices of the Royal Astronomical Society<\/em>, vol. 539, no. 3, OUP, pp. 2158\u20132184, 2025. doi:10.1093\/mnras\/staf573.<\/p>\n\n\n\n

\\bibitem[Gonz{\\’a}lez-Mart{\\’\\i}n et al.(2025)]{2025MNRAS.539.2158G} Gonz{\\’a}lez-Mart{\\’\\i}n, O., D{\\’\\i}az-Gonz{\\’a}lez, D.~J., Mart{\\’\\i}nez-Paredes, M., et al.\\ 2025, \\mnras, 539, 3, 2158. doi:10.1093\/mnras\/staf573<\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

Tool for the isolation of JWST\/MIRI and JWST\/NIRSpec data cubes. Details on the tool at our paper. It can be downloaed here Download: Here is the link to download the current version (version March 2026; 590MB) How to use it: It is a python set of routines launched from shell script. It requires common python … <\/p>\n

Continuar leyendo “MRSPSFIsol”<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/pages\/497"}],"collection":[{"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/comments?post=497"}],"version-history":[{"count":8,"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/pages\/497\/revisions"}],"predecessor-version":[{"id":532,"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/pages\/497\/revisions\/532"}],"wp:attachment":[{"href":"https:\/\/www.omairagonzalez.com\/index.php\/wp-json\/wp\/v2\/media?parent=497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}