Retrieve all TPFs per chip

Issue description

Is it possible to call for the TPFs as a function of the chip? Or even “all per campaign”

Example

import lightkurve
TPFs = lightkurve.KeplerTargetPixelFile.from_archive(chip=42, campaign=0)

Expected behavior

I expected that the chip kwarg is would exist and that the target kwarg would not be required; much like campaign vs quarter, I was expecting chip to replace target.

I would like to download the TPF files from every target observed, per chip per campaign. Or at least be able to list the EPIC numbers for each TPF per chip per campaign.

Environment:

• platform: OSX
• lightkurve version: 1.0b19
• installation method: pip

[barentsen]

Unfortunately the MAST Portal API does not support queries on mission-specific meta data at this, such as Kepler CCD identifier. So far the only work-around is to query targets manually using e.g. the web-based Kepler or CasJobs interfaces at MAST, or to use the older MAST web services (cf. https://archive.stsci.edu/vo/mast_services.html).

Supporting CCD-based searches is on our wish list but we are waiting for the MAST Portal API to support such queries. Until then, I am going to close this issue.

/cc @mustaric @scfleming

[exowanderer]

This is all very useful. Thank you both for the helpful conversation.

At this point, does the information that lightkurve grabs (even if not in the TPF class) include the chip number? I see channel; but I don’t know what that means.

If tpf.channel is the chip number, then I’m perfectly happy to reconfigure the above script to store the lightkurve output as k2_lightkurves[campaign][channel][epic_id].

---

such as

# Here we loop over the `campaign_list`, which is defined above as just 1 campaign;
#    but this can be expanded to any number of campaigns (in sequence of not)
for campaign in tqdm(campaign_list, total=len(campaign_list)):
    # Allocate the exact EPIC ids to download in the next for loop
    EPIC_ids = k2targets['epic_number'][campaigns_ == campaign].values
    k2_lightkurves[campaign] = {}
    for epic_id in tqdm(EPIC_ids[:n_IDs], total=len(EPIC_ids[:n_IDs])):
        # loop of the allocated EPIC ids and download them one-by-one
        dummy_ = lk.KeplerTargetPixelFile.from_archive(target=epic_id);
        
        # Check if the channel has been accessed before
        if dummy_.channel not in k2_lightkurves[campaign].keys(): 
            # If not yet accessed, then create the sub-dict
            k2_lightkurves[campaign][dummy_.channel] = {}
        
        k2_lightkurves[campaign][dummy_.channel][epic_id] = dummy_