How to return bucket with 0 count in terms aggregation

I want to get return bucket even though the count is 0. How to get daily histogram buckets with 0 count??

My aggregation query is below. I want to every histogram buckets from last Sunday to Saturday.

{
  "size": 0,
  "aggs": {
    "range": {
      "date_range": {
        "time_zone": "Asia/Tokyo",
        "field": "@timestamp",
        "ranges": [
          {
            "from": "now-11d/d",
            "to": "now-4d/d"
          }
        ]
      },
      "aggs": {
        "date": {
          "date_histogram": {
            "field": "@timestamp",
            "calendar_interval": "day",
            "time_zone": "Asia/Tokyo"
          }
        }
      }
    }
  }
}

But I can't get Sunday bucket(31st March) with 0 count.

  "aggregations": {
    "range": {
      "buckets": [
        {
          "key": "2024-03-31T00:00:00.000+09:00-2024-04-07T00:00:00.000+09:00",
          "from": 1711810800000,
          "from_as_string": "2024-03-31T00:00:00.000+09:00",
          "to": 1712415600000,
          "to_as_string": "2024-04-07T00:00:00.000+09:00",
          "doc_count": 228,
          "date": {
            "buckets": [
              {
                "key_as_string": "2024-04-01T00:00:00.000+09:00",
                "key": 1711897200000,
                "doc_count": 2
              },
              {
                "key_as_string": "2024-04-02T00:00:00.000+09:00",
                "key": 1711983600000,
                "doc_count": 0
              },
              {
                "key_as_string": "2024-04-03T00:00:00.000+09:00",
                "key": 1712070000000,
                "doc_count": 212
              },
              {
                "key_as_string": "2024-04-04T00:00:00.000+09:00",
                "key": 1712156400000,
                "doc_count": 6
              },
              {
                "key_as_string": "2024-04-05T00:00:00.000+09:00",
                "key": 1712242800000,
                "doc_count": 8
              }
            ]
          }
        }
      ]
    }
  }