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Title: Searching for GEMS: Characterizing Six Giant Planets around
    Cool Dwarfs 
Authors: Kanodia S., Gupta A.F., Canas C.I., Bernabo L.M., Reji V., Han T., 
    Brady M., Seifahrt A., Cochran W.D., Morrell N., Basant R., Bean J., 
    Bender C.F., de Beurs Z.L., Bieryla A., Birkholz A., Brown N., Chapman F., 
    Ciardi D.R., Clark C.A., Cotter E.G., Diddams S.A., Halverson S., 
    Hawley S., Hebb L., Holcomb R., Howell S.B., Kobulnicky H.A., 
    Kowalski A.F., Larsen A., Libby-Roberts J., Lin A.S.J., Lund M.B., 
    Luque R., Monson A., Ninan J.P., Parker B.A., Patel N., Rodruck M., 
    Ross G., Roy A., Schwab C., Stefánsson G., Thoms A., Vanderburg A.
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Description of contents: This tar.gz archive contains individual
    numpy (npy) binary pickled python (v3.9) dictionaries for each
    TOI created using numpy (v1.20). These dictionaries contain the
    photometry time series (including flux errors) for each
    instrument used in this analysis, as well as the model used for
    detrending where applicable. A python script is included that
    displays how to use the python dictionaries to extract and plot
    the included data values. The specific files included in this
    tar.gz archive are:
    
    File                            md5 checksum                         
    PhotDictTOI5176.npy  (K2-419)   d720e989d1212d9ce9b5ca53b096e5cf     
    PhotDictTOI5218.npy             984f360db719c8b27b014ad148d58e79     
    PhotDictTOI5414.npy             9ab63e2b9b77c749dee890431fdbef9c     
    PhotDictTOI5616.npy             9135e7ac6549df56d4f8eaa276c2a601     
    PhotDictTOI5634.npy             b4695c58991e5383f05a5a3afffb9502     
    PhotDictTOI6034.npy             436dcb52eb167fe0464128a8827fb241     
    TestScript.py

System requirements: These are python pickled (v3.9) dictionaries. The
    dictionary can be extracted as follows:

    # Tested on numpy version 1.22.3
    import numpy as np
    PhotDict = np.load("PhotDictTOI5176.npy", allow_pickle=True).item()

Additional comments: A listing of the dictionary keys is provided
    here. Each "key" is a prefix that applies to a set of instruments.
    For example, for TOI 5616 there are four instrument data sets 
    included: [TESS_S22', 'TESS_S48', 'TESS_S49', 'KeplerCam_20220531].

    GP_Prot_<instr>                   Boolean         If True, simultaneous GP detrending 
                                                      performed with the Prot kernel
    GP_SHO_<instr>                    Boolean         If True, simultaneous GP detrending 
                                                      performed with the SHO kernel
    RunMaskedTransit_GP_<instr>       Boolean         If True, then a GP was fit to the transit 
                                                      masked light curve and subsequently subtracted
    SubtractTransitMaskedGP_<instr>   Boolean         If True, then the GP fit on the transit-masked
                                                      light curve was subtracted from the y_phot to detrend it
    dilution_<instr>                  Boolean         If True, dilution was allowed to float 
                                                      and the transit depth was constrained 
                                                      based on other instruments with dilution = False
    smooth_<instr>                    array(float)    Savgol smoothened flux array
    t_phot_<instr>                    array(float)    Super-sampled time axis, more relevant 
                                                      for long cadence datasets
    texp_<instr>                      float           Exposure time (days)
    transit_mask_<instr>              array(boolean)  Boolean mask +/- 0.25 days around each transit
    x_phot_<instr>                    array(float)    Time axis, BJDTDB (days)
    x_phot_ref_<instr>                integer         Time offset subtracted from x_phot_<instr>. Set to 0 here.
    y_phot_<instr>                    array(float)    Flux, not median normalized
    yerr_phot_<instr>                 array(float)    Flux Error
    
    Instruments included. The ZTF data, given the cadence, is not
    utilized during the joint fitting (Section 4.2) and is not included
    in these dictionaries:
    
    TOI5176.npy  (K2-419)  'TESS', 'K2_C5', 'K2_C18', 'RBO_20220405', 
                            'SWOPE_20230115', 'Keeble_20240206'
    TOI5218.npy            'TESS_S14', 'TESS_S15', 'TESS_S16', 'TESS_S17', 
                            'TESS_S18', 'TESS_S19', 'TESS_S20', 'TESS_S21', 
                            'TESS_S22', 'TESS_S23', 'TESS_S24', 'TESS_S25', 
                            'TESS_S26', 'TESS_S40', 'TESS_S41', 
                            'ARCTIC_SDSSi_20220513', 'ARCTIC_SDSSi_20220712'
    TOI5414.npy            'TESS_S20', 'TESS_S44', 'TESS_S45', 'TESS_S47', 
                            'LCO_20221112'
    TOI5616.npy            'TESS_S22', 'TESS_S48', 'TESS_S49', 
                            'KeplerCam_20220531'
    TOI5634.npy            'TESS_S22', 'TESS_S49', 'KeplerCam_20230105', 
                            'LCRO_20230320'
    TOI6034.npy            'TESS_S16', 'TESS_S17', 'TESS_S18', 'TESS_S25', 
                            'TESS_S56', 'TESS_S57', 'RBO_20230620', 
                            'RBO_20230808', 'RBO_20230908', 'Keeble_20231019'



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