Merge pull request #1 from sciserver/feature/add_sep_rank_column

Feature/add sep rank column

Author: mtaghiza

README.md

@@ -18,27 +18,18 @@ To improve cross-match query execution speed, we install `SQLxMatch` in a SQL Se
 The advantage of this <i>`in-database`</i> remote cross-match, compared to other <i>`in-memory`</i> local cross-match software libraries, is that the users leverage the remote database server's own (and potentially bigger) computing/memory/storage resources to filter and cross-match the full catalogs right away, having only a relatively small-sized cross-match output table returned to them.
 This can be faster and more efficient than having users to download the full catalogs into their own computers (if they have enough storage), and then load them in python for filtering and running the cross-match, for instance.
 
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 ## **Documentation**
 
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 Instructions on how to install and operate `SQLxMatch` can found under the [docs](https://github.com/sciserver/sqlxmatch/tree/main/docs) folder.
 
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 ## **Examples**
 
 Example Jupyter Notebooks and demos can be found under [demo](https://github.com/sciserver/sqlxmatch/tree/main/demo) folder.
 
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 ## **Citation**
 
 Taghizadeh-Popp, M. and Dobos, L. (2023) “SQLxMatch: In-Database Spatial Cross-Match of Astronomical Catalogs”. Zenodo. doi: 10.5281/zenodo.10142771.
 
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 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10142770.svg)](https://doi.org/10.5281/zenodo.10142770)
 
 ## **License**