Embedded newform data - 3552.2.o.a.2737.30

Formats: - HTML - YAML - JSON - 2026-09-05T05:58:58.276955

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 14208, 'analytic_conductor': 28.362862797958794, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 296, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 2, 'char_parity': 1, 'char_values': [3552, 2, [223, 3109, 2369, 3073], [2, 1, 2, 1]], 'cm_discs': [], 'conrey_index': 2737, 'dim': 76, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 962106232288, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 37, 2, 1, 2, 0], [1, 1, 296, 5, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3552.2.o.a', 'level': 3552, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '888.2.o.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 76, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3552.2.o', 'trace_display': [0, 0, 0, -8], 'traces': [76, 0, 0, 0, 0, 0, -8, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, 16, 0, 24, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 136, 0, -84, 0, 0, 0, 0, 0, -48, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, -36, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -40, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -64, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -152, 0, 8, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -72, 0, -8, 0, 0, 0, 0, 0, -320, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -176, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -48, 0, 0, 0, 0, 0, 24, 0, 88, 0, 0, 0, 0, 0, -256, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -16, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -24, 0, 0, 0, 0, 0, 80, 0, 96, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -16, 0, 112, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 212, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 120, 0, 0, 0, 0, 0, 144, 0, 32, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -112, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, -40, 0, 0, 0, 0, 0, -736, 0, -188, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 488, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 224, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 16, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 160, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 32, 0, 392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 136, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 8, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 128, 0, -56, 0, 0, 0, 0, 0, 656, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, -152, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 32, 0, 0, 0, 0, 0, -112, 0, 72, 0, 0, 0, 0, 0, 912, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 248, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 32, 0, 280, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 16, 0, 160, 0, 0, 0, 0, 0, 224, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -224, 0, 0, 0, 0, 0, -880, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 208, 0, 0, 0, 0, 0, -96, 0, -152, 0, 0, 0, 0, 0, -184, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 256, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, -416, 0, 0, 0, 0, 0, 1072, 0, -4, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, -792, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 152, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.5773502691896257], [0.0, 0.0], [-0.7249403842622151, 0.0], [0.0, 0.0], [0.25804226155714227, 0.0], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [0.0, 0.4976990388911037], [0.0, 0.0], [1.9086955431140775, 0.0], [0.0, 0.0], [0.0, -0.4185445260002206], [0.0, 0.0], [0.0, -1.427022952420953], [0.0, 0.0], [-1.3273366168270757, 0.0], [0.0, 0.0], [0.0, 0.1489807691723159], [0.0, 0.0], [0.0, 0.8654109228410294], [0.0, 0.0], [-0.474461439265752, 0.0], [0.0, 0.0], [0.0, -0.19245008972987526], [0.0, 0.0], [1.048532553036975, 0.0], [0.0, 0.0], [0.0, -1.7040995865055981], [0.0, 0.0], [-0.28734667407919673, 0.0], [0.0, 0.0], [-0.1870652562491257, 0.0], [0.0, 0.0], [-0.04003931992845815, -0.9991981049119671], [0.0, 0.0], [0.0, 1.1019858856179516], [0.0, 0.0], [0.3438198970459954, 0.0], [0.0, 0.0], [0.8575018281063301, 0.0], [0.0, 0.0], [0.2416467947540717, 0.0], [0.0, 0.0], [0.4202824417080341, 0.0], [0.0, 0.0], [-0.9334141912504754, 0.0], [0.0, 0.0], [0.8238920857200117, 0.0], [0.0, 0.0], [0.0, 0.6273261361591433], [0.0, 0.0], [0.0, -0.3608021325006518], [0.0, 0.0], [0.0, -0.7663381530303593], [0.0, 0.0], [0.8599754733306123, 0.0], [0.0, 0.0], [0.06399525043356233, 0.0], [0.0, 0.0], [-0.08601408718571409, 0.0], [0.0, 0.0], [-1.3836904804646966, 0.0], [0.0, 0.0], [0.0, -1.337222405760848], [0.0, 0.0], [-0.4996452292619108, 0.0], [0.0, 0.0], [0.159506118373812, 0.0], [0.0, 0.0], [-1.1304928542608883, 0.0], [0.0, 0.0], [0.0, -0.2739304396801792], [0.0, 0.0], [0.0, 0.1284273855702765], [0.0, 0.0], [0.0, -0.36631638106583037], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.0, 1.3714890136821474], [0.0, 0.0], [0.0, 1.0345065674790463], [0.0, 0.0], [0.0, 0.605370551749983], [0.0, 0.0], [0.0, 1.1411258293570279], [0.0, 0.0], [0.4925241145691945, 0.0], [0.0, 0.0], [0.983862354994937, 0.0], [0.0, 0.0], [0.9622399170479288, 0.0], [0.0, 0.0], [0.0, -1.1202560894433236], [0.0, 0.0], [0.0, -0.1658996796303679], [0.0, 0.0]], 'angles': [None, None, -0.30903326858772945, -0.22940824755303393, 0.0400262308960693, -0.048276117375652655, -0.3735518286558013, -0.36550067382561613, 0.07122049569542627, -0.1621698264637983, -0.3376796637179434, None, -0.2225030941657438, -0.1794768997256375, -0.21630381035218027, 0.05077812025374625, -0.17925893921362532, -0.24490655037422981, -0.3834445359413452, -0.23729341189959915, -0.34560945943917964, -0.470683972781599, 0.12026162931974793, 0.09663746899838067, -0.40537596291625855, 0.07694888864766423, -0.4311558694863551, -0.42562201481128875, -0.1102303474909846, -0.4142707249320321, -0.2104806782524728, -0.1324834013685848, -0.20946723290669875, -0.49960342627381565, -0.39524401030701284, -0.059039611221963356, 0.07976692523539529, -0.2194976696492032, -0.46101462428376705, 0.1346070808014645, -0.2651087975784005, -0.4176411267952441, -0.49043811146312205, 0.0033594483719327, -0.36858811069181724, -0.3362374656302007, 0.07259724729202514, -0.23117621719607856, -0.1002319023490534, 0.18104233279871385, -0.4320513306693378, 0.14920499082623903, 0.06646570686866883, -0.22227556100774404, 0.14908216421864162, -0.2249072966170197, -0.4126017931852968, -0.2853430668726681, -0.1747141165216222, -0.47683624542856523, -0.13613055040753522, 0.04011426919274338, 0.07870594021923331, -0.43122577878716767, -0.33873255212920317, -0.4888581304057289, -0.34660510743665196, -0.18237432500431514, -0.34605223249846573, 0.10018888399636572, 0.028404487235558183, -0.1878653872039504, -0.32466611428846825, -0.4440991879587681, 0.05286632180750048, -0.4379015856677684, -0.35664060696998484, -0.4405721414968434, -0.47418855779298064, 0.03194476256097087, -0.34283205974780107, -0.18378012069384572, 0.06833310239568967, -0.31212439987357954, -0.46506052825509137, -0.45317299018593254, 0.043039561640283205, -0.410640231856254, -0.3483065105663337, -0.3726189401333543, -0.3204099436116107, -0.4721128915012715, 0.05711420835430306, -0.434146083917012, -0.36199103423623163, 0.0825556238336753, 0.04998839181346116, -0.2082876907765437, -0.3768978565711046, -0.3439806112513956], 'char_orbit_index': 15, 'conrey_index': 2737, 'dual_conrey_index': 2737, 'dual_embedding_index': 29, 'dual_embedding_m': 29, 'embedding_index': 30, 'embedding_m': 30, 'hecke_orbit': 1, 'hecke_orbit_code': 962106232288, 'label': '3552.2.o.a.2737.30', 'level': 3552, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 14208, 'analytic_conductor': 28.362862797958794, 'char_conductor': 296, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 2, 'char_parity': 1, 'char_values': [3552, 2, [223, 3109, 2369, 3073], [2, 1, 2, 1]], 'conrey_index': 2737, 'cusp_dim': 592, 'dim': 76, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_orbit_code': 962106232288, 'hecke_orbit_dims': [76], 'label': '3552.2.o', 'level': 3552, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 624, 'mf_new_dim': 76, 'num_forms': 1, 'prim_orbit_index': 5, 'relative_dim': 76, 'sturm_bound': 1216, 'trace_bound': 0, 'trace_display': [0, 0, 0, -8], 'traces': [76, 0, 0, 0, 0, 0, -8, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, 16, 0, 24, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 136, 0, -84, 0, 0, 0, 0, 0, -48, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, -36, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -40, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -64, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -152, 0, 8, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -72, 0, -8, 0, 0, 0, 0, 0, -320, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -176, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -48, 0, 0, 0, 0, 0, 24, 0, 88, 0, 0, 0, 0, 0, -256, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -16, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -24, 0, 0, 0, 0, 0, 80, 0, 96, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -16, 0, 112, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 212, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 120, 0, 0, 0, 0, 0, 144, 0, 32, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -112, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, -40, 0, 0, 0, 0, 0, -736, 0, -188, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 12486705
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 2737, 'target_dim': 76, 'target_embedding_index': 30, 'target_hecke_orbit_code': 962106232288, 'target_is_minimal': False, 'target_label': '3552.2.o.a.2737.30', 'target_level': 3552, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 12486706
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 517, 'target_dim': 76, 'target_embedding_index': 72, 'target_hecke_orbit_code': 962106229624, 'target_is_minimal': True, 'target_label': '888.2.o.a.517.72', 'target_level': 888, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 12486707
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 517, 'target_dim': 76, 'target_embedding_index': 6, 'target_hecke_orbit_code': 962106229624, 'target_is_minimal': True, 'target_label': '888.2.o.a.517.6', 'target_level': 888, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 12486708
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 2737, 'target_dim': 76, 'target_embedding_index': 27, 'target_hecke_orbit_code': 962106232288, 'target_is_minimal': False, 'target_label': '3552.2.o.a.2737.27', 'target_level': 3552, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 12486709
    {'conductor': 37, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 2737, 'target_dim': 76, 'target_embedding_index': 28, 'target_hecke_orbit_code': 962106232288, 'target_is_minimal': False, 'target_label': '3552.2.o.a.2737.28', 'target_level': 3552, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '37.36', 'twisting_conrey_index': 36, 'weight': 2}
  • id: 12486710
    {'conductor': 148, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 517, 'target_dim': 76, 'target_embedding_index': 5, 'target_hecke_orbit_code': 962106229624, 'target_is_minimal': True, 'target_label': '888.2.o.a.517.5', 'target_level': 888, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '148.147', 'twisting_conrey_index': 147, 'weight': 2}
  • id: 12486711
    {'conductor': 296, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 517, 'target_dim': 76, 'target_embedding_index': 71, 'target_hecke_orbit_code': 962106229624, 'target_is_minimal': True, 'target_label': '888.2.o.a.517.71', 'target_level': 888, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '296.147', 'twisting_conrey_index': 147, 'weight': 2}
  • id: 12486712
    {'conductor': 296, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2737, 'source_dim': 76, 'source_embedding_index': 30, 'source_hecke_orbit_code': 962106232288, 'source_is_minimal': False, 'source_label': '3552.2.o.a.2737.30', 'source_level': 3552, 'target_conrey_index': 2737, 'target_dim': 76, 'target_embedding_index': 29, 'target_hecke_orbit_code': 962106232288, 'target_is_minimal': False, 'target_label': '3552.2.o.a.2737.29', 'target_level': 3552, 'twist_class_label': '888.2.o.a.517.5', 'twist_class_level': 888, 'twisting_char_label': '296.221', 'twisting_conrey_index': 221, 'weight': 2}
• hecke_orbit_code 962106232288 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 15, 'hecke_orbit': 1, 'label': '3552.2.o.a', 'level': 3552, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 11779314
    {'hecke_orbit_code': 962106232288, 'n': 1, 'trace_an': 76}
  • id: 11779315
    {'hecke_orbit_code': 962106232288, 'n': 2, 'trace_an': 0}
  • id: 11779316
    {'hecke_orbit_code': 962106232288, 'n': 3, 'trace_an': 0}
  • id: 11779317
    {'hecke_orbit_code': 962106232288, 'n': 4, 'trace_an': 0}
  • id: 11779318
    {'hecke_orbit_code': 962106232288, 'n': 5, 'trace_an': 0}
  • id: 11779319
    {'hecke_orbit_code': 962106232288, 'n': 6, 'trace_an': 0}
  • id: 11779320
    {'hecke_orbit_code': 962106232288, 'n': 7, 'trace_an': -8}
  • id: 11779321
    {'hecke_orbit_code': 962106232288, 'n': 8, 'trace_an': 0}
  • id: 11779322
    {'hecke_orbit_code': 962106232288, 'n': 9, 'trace_an': -76}
  • id: 11779323
    {'hecke_orbit_code': 962106232288, 'n': 10, 'trace_an': 0}
  • id: 11779324
    {'hecke_orbit_code': 962106232288, 'n': 11, 'trace_an': 0}
  • id: 11779325
    {'hecke_orbit_code': 962106232288, 'n': 12, 'trace_an': 0}
  • id: 11779326
    {'hecke_orbit_code': 962106232288, 'n': 13, 'trace_an': 0}
  • id: 11779327
    {'hecke_orbit_code': 962106232288, 'n': 14, 'trace_an': 0}
  • id: 11779328
    {'hecke_orbit_code': 962106232288, 'n': 15, 'trace_an': 0}
  • id: 11779329
    {'hecke_orbit_code': 962106232288, 'n': 16, 'trace_an': 0}
  • id: 11779330
    {'hecke_orbit_code': 962106232288, 'n': 17, 'trace_an': 0}
  • id: 11779331
    {'hecke_orbit_code': 962106232288, 'n': 18, 'trace_an': 0}
  • id: 11779332
    {'hecke_orbit_code': 962106232288, 'n': 19, 'trace_an': 0}
  • id: 11779333
    {'hecke_orbit_code': 962106232288, 'n': 20, 'trace_an': 0}
  • id: 11779334
    {'hecke_orbit_code': 962106232288, 'n': 21, 'trace_an': 0}
  • id: 11779335
    {'hecke_orbit_code': 962106232288, 'n': 22, 'trace_an': 0}
  • id: 11779336
    {'hecke_orbit_code': 962106232288, 'n': 23, 'trace_an': 0}
  • id: 11779337
    {'hecke_orbit_code': 962106232288, 'n': 24, 'trace_an': 0}
  • id: 11779338
    {'hecke_orbit_code': 962106232288, 'n': 25, 'trace_an': 84}
  • id: 11779339
    {'hecke_orbit_code': 962106232288, 'n': 26, 'trace_an': 0}
  • id: 11779340
    {'hecke_orbit_code': 962106232288, 'n': 27, 'trace_an': 0}
  • id: 11779341
    {'hecke_orbit_code': 962106232288, 'n': 28, 'trace_an': 0}
  • id: 11779342
    {'hecke_orbit_code': 962106232288, 'n': 29, 'trace_an': 0}
  • id: 11779343
    {'hecke_orbit_code': 962106232288, 'n': 30, 'trace_an': 0}
  • id: 11779344
    {'hecke_orbit_code': 962106232288, 'n': 31, 'trace_an': 0}
  • id: 11779345
    {'hecke_orbit_code': 962106232288, 'n': 32, 'trace_an': 0}
  • id: 11779346
    {'hecke_orbit_code': 962106232288, 'n': 33, 'trace_an': 0}
  • id: 11779347
    {'hecke_orbit_code': 962106232288, 'n': 34, 'trace_an': 0}
  • id: 11779348
    {'hecke_orbit_code': 962106232288, 'n': 35, 'trace_an': 0}
  • id: 11779349
    {'hecke_orbit_code': 962106232288, 'n': 36, 'trace_an': 0}
  • id: 11779350
    {'hecke_orbit_code': 962106232288, 'n': 37, 'trace_an': 0}
  • id: 11779351
    {'hecke_orbit_code': 962106232288, 'n': 38, 'trace_an': 0}
  • id: 11779352
    {'hecke_orbit_code': 962106232288, 'n': 39, 'trace_an': 0}
  • id: 11779353
    {'hecke_orbit_code': 962106232288, 'n': 40, 'trace_an': 0}
  • id: 11779354
    {'hecke_orbit_code': 962106232288, 'n': 41, 'trace_an': -8}
  • id: 11779355
    {'hecke_orbit_code': 962106232288, 'n': 42, 'trace_an': 0}
  • id: 11779356
    {'hecke_orbit_code': 962106232288, 'n': 43, 'trace_an': 0}
  • id: 11779357
    {'hecke_orbit_code': 962106232288, 'n': 44, 'trace_an': 0}
  • id: 11779358
    {'hecke_orbit_code': 962106232288, 'n': 45, 'trace_an': 0}
  • id: 11779359
    {'hecke_orbit_code': 962106232288, 'n': 46, 'trace_an': 0}
  • id: 11779360
    {'hecke_orbit_code': 962106232288, 'n': 47, 'trace_an': 0}
  • id: 11779361
    {'hecke_orbit_code': 962106232288, 'n': 48, 'trace_an': 0}
  • id: 11779362
    {'hecke_orbit_code': 962106232288, 'n': 49, 'trace_an': 60}
  • id: 11779363
    {'hecke_orbit_code': 962106232288, 'n': 50, 'trace_an': 0}
  • id: 11779364
    {'hecke_orbit_code': 962106232288, 'n': 51, 'trace_an': 0}
  • id: 11779365
    {'hecke_orbit_code': 962106232288, 'n': 52, 'trace_an': 0}
  • id: 11779366
    {'hecke_orbit_code': 962106232288, 'n': 53, 'trace_an': 0}
  • id: 11779367
    {'hecke_orbit_code': 962106232288, 'n': 54, 'trace_an': 0}
  • id: 11779368
    {'hecke_orbit_code': 962106232288, 'n': 55, 'trace_an': 0}
  • id: 11779369
    {'hecke_orbit_code': 962106232288, 'n': 56, 'trace_an': 0}
  • id: 11779370
    {'hecke_orbit_code': 962106232288, 'n': 57, 'trace_an': 0}
  • id: 11779371
    {'hecke_orbit_code': 962106232288, 'n': 58, 'trace_an': 0}
  • id: 11779372
    {'hecke_orbit_code': 962106232288, 'n': 59, 'trace_an': 0}
  • id: 11779373
    {'hecke_orbit_code': 962106232288, 'n': 60, 'trace_an': 0}
  • id: 11779374
    {'hecke_orbit_code': 962106232288, 'n': 61, 'trace_an': 0}
  • id: 11779375
    {'hecke_orbit_code': 962106232288, 'n': 62, 'trace_an': 0}
  • id: 11779376
    {'hecke_orbit_code': 962106232288, 'n': 63, 'trace_an': 8}
  • id: 11779377
    {'hecke_orbit_code': 962106232288, 'n': 64, 'trace_an': 0}
  • id: 11779378
    {'hecke_orbit_code': 962106232288, 'n': 65, 'trace_an': 48}
  • id: 11779379
    {'hecke_orbit_code': 962106232288, 'n': 66, 'trace_an': 0}
  • id: 11779380
    {'hecke_orbit_code': 962106232288, 'n': 67, 'trace_an': 0}
  • id: 11779381
    {'hecke_orbit_code': 962106232288, 'n': 68, 'trace_an': 0}
  • id: 11779382
    {'hecke_orbit_code': 962106232288, 'n': 69, 'trace_an': 0}
  • id: 11779383
    {'hecke_orbit_code': 962106232288, 'n': 70, 'trace_an': 0}
  • id: 11779384
    {'hecke_orbit_code': 962106232288, 'n': 71, 'trace_an': 16}
  • id: 11779385
    {'hecke_orbit_code': 962106232288, 'n': 72, 'trace_an': 0}
  • id: 11779386
    {'hecke_orbit_code': 962106232288, 'n': 73, 'trace_an': 24}
  • id: 11779387
    {'hecke_orbit_code': 962106232288, 'n': 74, 'trace_an': 0}
  • id: 11779388
    {'hecke_orbit_code': 962106232288, 'n': 75, 'trace_an': 0}
  • id: 11779389
    {'hecke_orbit_code': 962106232288, 'n': 76, 'trace_an': 0}
  • id: 11779390
    {'hecke_orbit_code': 962106232288, 'n': 77, 'trace_an': 0}
  • id: 11779391
    {'hecke_orbit_code': 962106232288, 'n': 78, 'trace_an': 0}
  • id: 11779392
    {'hecke_orbit_code': 962106232288, 'n': 79, 'trace_an': 0}
  • id: 11779393
    {'hecke_orbit_code': 962106232288, 'n': 80, 'trace_an': 0}
  • id: 11779394
    {'hecke_orbit_code': 962106232288, 'n': 81, 'trace_an': 76}
  • id: 11779395
    {'hecke_orbit_code': 962106232288, 'n': 82, 'trace_an': 0}
  • id: 11779396
    {'hecke_orbit_code': 962106232288, 'n': 83, 'trace_an': 0}
  • id: 11779397
    {'hecke_orbit_code': 962106232288, 'n': 84, 'trace_an': 0}
  • id: 11779398
    {'hecke_orbit_code': 962106232288, 'n': 85, 'trace_an': 0}
  • id: 11779399
    {'hecke_orbit_code': 962106232288, 'n': 86, 'trace_an': 0}
  • id: 11779400
    {'hecke_orbit_code': 962106232288, 'n': 87, 'trace_an': 0}
  • id: 11779401
    {'hecke_orbit_code': 962106232288, 'n': 88, 'trace_an': 0}
  • id: 11779402
    {'hecke_orbit_code': 962106232288, 'n': 89, 'trace_an': 0}
  • id: 11779403
    {'hecke_orbit_code': 962106232288, 'n': 90, 'trace_an': 0}
  • id: 11779404
    {'hecke_orbit_code': 962106232288, 'n': 91, 'trace_an': 0}
  • id: 11779405
    {'hecke_orbit_code': 962106232288, 'n': 92, 'trace_an': 0}
  • id: 11779406
    {'hecke_orbit_code': 962106232288, 'n': 93, 'trace_an': 0}
  • id: 11779407
    {'hecke_orbit_code': 962106232288, 'n': 94, 'trace_an': 0}
  • id: 11779408
    {'hecke_orbit_code': 962106232288, 'n': 95, 'trace_an': 0}
  • id: 11779409
    {'hecke_orbit_code': 962106232288, 'n': 96, 'trace_an': 0}
  • id: 11779410
    {'hecke_orbit_code': 962106232288, 'n': 97, 'trace_an': 0}
  • id: 11779411
    {'hecke_orbit_code': 962106232288, 'n': 98, 'trace_an': 0}
  • id: 11779412
    {'hecke_orbit_code': 962106232288, 'n': 99, 'trace_an': 0}
  • id: 11779413
    {'hecke_orbit_code': 962106232288, 'n': 100, 'trace_an': 0}