Embedded newform data - 2268.2.w.i.1349.3

Formats: - HTML - YAML - JSON - 2025-09-21T14:05:11.616085

• 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': 9072, 'analytic_conductor': 18.11007117842639, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 6, 'char_parity': 1, 'char_values': [2268, 6, [1135, 1541, 325], [6, 1, 1]], 'cm_discs': [], 'conrey_index': 269, 'dim': 12, 'field_disc': 17213603549184, 'field_disc_factorization': [[2, 12], [3, 6], [7, 8]], 'field_poly': [1, 0, -6, 0, 31, 0, -28, 0, 19, 0, -5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [729, 0, 1458, 0, 2511, 0, 756, 0, 171, 0, 15, 0, 1]], [13, [1323, 1323, 441, 0, -21, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36030308881008860, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 19683, 'hecke_ring_index_factorization': [[3, 9]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 63, 20, -1, 6, 0], [1, 1, 63, 9, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2268.2.w.i', 'level': 2268, '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, 7], 'level_radical': 42, 'minimal_twist': '756.2.t.e', 'nf_label': '12.0.17213603549184.1', 'prim_orbit_index': 9, 'qexp_display': 'q-\\beta _{2}q^{5}+\\beta _{9}q^{7}+(\\beta _{3}+\\beta _{5})q^{11}+(\\beta _{9}+\\cdots)q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2268.2.w', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2252087218451058983, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.109', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.238', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7.450', 'prec': 17}, {'__RealLiteral__': 0, 'data': '749.110', 'prec': 24}, {'__RealLiteral__': 0, 'data': '947.837', 'prec': 24}, {'__RealLiteral__': 0, 'data': '83132.899', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.620', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 6, 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, 54, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, -270, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150, 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, 0, 0, 36, 0, 0, 0, 0, 0, 306, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -162, 0, 0, 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, 0, 0, -276, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 306, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -378, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, -372, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -378, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 306, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 294, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -174, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 342, 0, 0, 0, 0, 0, 486, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, -306, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -378, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -378, 0, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 372, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 168, 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, 0.0], [0.0, 0.0], [-0.17236397427906525, -0.29854316084583615], [0.0, 0.0], [0.8959532196631048, 0.4441484303420607], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.411546937521607, -0.8149570043518917], [0.0, 0.0], [1.2684262848806447, 0.7323262570230371], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6922768272941173, 1.1990586377759962], [0.0, 0.0], [0.12281629117179343, 0.0709080187689064], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.217270504069329, 0.7027914532010185], [0.0, 0.0], [0.44058132074145145, -0.7631092323899936], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2987674837042007, -0.7498437563313533], [0.0, 0.0], [0.0, 0.10425271882306748], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.021832581430221612, -0.3440358947917932], [0.0, 0.0], [-0.7460478992630767, 1.2921928664036764], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6709465322036001, 1.1621134829387834], [0.0, 0.0], [-0.2596908224753081, -0.4497976987865834], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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0.03882168632427933, -0.08393050278866813, 0.09183170359952318, 0.0043491175911798885, -0.12851377793234123, -0.4589786642415594, 0.004263308036540624, -0.33375848050386914, -0.14535333336743136, -0.26139084262801776, -0.4577571369600694, -0.17636323571251591, -0.05451249723063837, -0.3708516863804539, -0.4977906869323407, -0.2982312876521211, -0.1578819905916904, -0.2328805429138343, -0.3118290200904343, -0.005171116369619733, -0.2472615814667613, -0.28237585948789307, -0.14271672391201978, -0.13482226415957005, -0.06301177784761319, -0.17295850024629372, -0.3016439046639855, -0.30416200675262933, -0.04235512699069552, -0.17815661470386193, -0.35647405662163595, -0.4887118746543933, -0.34353853927581873, 0.13443273248861817, -0.0742293398113363, 0.25276303517695686, -0.40685958509543263, -0.40786053495980407, -0.07560729892421963, -0.4443236131932928], 'char_orbit_index': 23, 'conrey_index': 1349, 'dual_conrey_index': 269, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 9, 'embedding_root_imag': 0.2225209339563144, 'embedding_root_real': 0.38541756336001515, 'hecke_orbit': 9, 'hecke_orbit_code': 36030308881008860, 'label': '2268.2.w.i.1349.3', 'level': 2268, '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': 9072, 'analytic_conductor': 18.11007117842639, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 6, 'char_parity': 1, 'char_values': [2268, 6, [1135, 1541, 325], [6, 1, 1]], 'conrey_index': 269, 'cusp_dim': 792, 'dim': 64, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13], 'hecke_orbit_code': 1511862044892, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 4, 4, 12, 32], 'label': '2268.2.w', 'level': 2268, '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, 7], 'level_radical': 42, 'mf_dim': 936, 'mf_new_dim': 64, 'num_forms': 10, 'prim_orbit_index': 9, 'relative_dim': 32, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [0, 0, 0, 5], 'traces': [64, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, 15, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -69, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 154, 0, 0, 0, 0, 0, 105, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -23, 0, 0, 0, 0, 0, 81, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 195, 0, 0, 0, 0, 0, 21, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 71, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 71, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -195, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, -154, 0, 0, 0, 0, 0, -51, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -198, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 165, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -118, 0, 0, 0, 0, 0, -69, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -58, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 183, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -57, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -111, 0, 0, 0, 0, 0, -106, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -91, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 33, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 354, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, -49, 0, 0, 0, 0, 0, 303, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 237, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 106, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -348, 0, 0, 0, 0, 0, -225, 0, 0, 0, 0, 0, 154, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 129, 0, 0, 0, 0, 0, -174, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -270, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, -194, 0, 0, 0, 0, 0, -97, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -130, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 62, 0, 0, 0, 0, 0, -89, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, 123, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, -299, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, -311, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, -41, 0, 0, 0, 0, 0, -45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 546, 0, 0, 0, 0, 0, 630, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, -73, 0, 0, 0, 0, 0, 525, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -83, 0, 0, 0, 0, 0, 354, 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: 46751017
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 1349, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.1349.3', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46751018
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 1349, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.1349.4', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46751019
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 1025, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.1025.3', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46751020
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.593.3', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46751021
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.593.3', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46751022
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.593.4', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46751023
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.593.4', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46751024
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 1025, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.1025.4', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 46751025
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 7, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.7', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46751026
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.5', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 46751027
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.269.4', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 46751028
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.269.3', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 46751029
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.6', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.40', 'twisting_conrey_index': 40, 'weight': 2}
  • id: 46751030
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.269.4', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.52', 'twisting_conrey_index': 52, 'weight': 2}
  • id: 46751031
    {'conductor': 63, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 8, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.8', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.58', 'twisting_conrey_index': 58, 'weight': 2}
  • id: 46751032
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1349, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36030308881008860, 'source_is_minimal': False, 'source_label': '2268.2.w.i.1349.3', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.269.3', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.3', 'twist_class_level': 756, 'twisting_char_label': '63.59', 'twisting_conrey_index': 59, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2536825
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 36030308881008860, 'p': 2}
  • id: 2536826
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 36030308881008860, 'p': 3}
  • id: 2536827
    {'charpoly_factorization': [[[729, 0, 1458, 0, 2511, 0, 756, 0, 171, 0, 15, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 5}
  • id: 2536828
    {'charpoly_factorization': [[[343, 0, 0, -7, 0, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 7}
  • id: 2536829
    {'charpoly_factorization': [[[531441, 0, -354294, 0, 203391, 0, -20412, 0, 1539, 0, -45, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 11}
  • id: 2536830
    {'charpoly_factorization': [[[1323, 1323, 441, 0, -21, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 13}
  • id: 2536831
    {'charpoly_factorization': [[[2492305929, 0, 208927755, 0, 11823003, 0, 377244, 0, 8811, 0, 114, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 17}
  • id: 2536832
    {'charpoly_factorization': [[[27, -108, 171, -108, 15, 9, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 19}
  • id: 2536833
    {'charpoly_factorization': [[[531441, 0, -295245, 0, 124659, 0, -20412, 0, 2511, 0, -54, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 23}
  • id: 2536834
    {'charpoly_factorization': [[[15178486401, 0, -938052414, 0, 39123243, 0, -918540, 0, 15795, 0, -153, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 29}
  • id: 2536835
    {'charpoly_factorization': [[[1323, 0, 3969, 0, 126, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 31}
  • id: 2536836
    {'charpoly_factorization': [[[142129, 5655, 4749, 574, 159, 12, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 37}
  • id: 2536837
    {'charpoly_factorization': [[[18525115449, 0, 1378083375, 0, 77199723, 0, 1611036, 0, 24471, 0, 186, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 41}
  • id: 2536838
    {'charpoly_factorization': [[[169, -234, 363, 28, 27, -3, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 43}
  • id: 2536839
    {'charpoly_factorization': [[[-27, 0, 54, 0, -15, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 47}
  • id: 2536840
    {'charpoly_factorization': [[[15178486401, 0, -1526829993, 0, 124757415, 0, -2653560, 0, 42363, 0, -234, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 53}
  • id: 2536841
    {'charpoly_factorization': [[[-344763, 0, 23274, 0, -303, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 59}
  • id: 2536842
    {'charpoly_factorization': [[[22707, 0, 4059, 0, 177, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 61}
  • id: 2536843
    {'charpoly_factorization': [[[-497, -147, 0, 1], 4]], 'hecke_orbit_code': 36030308881008860, 'p': 67}
  • id: 2536844
    {'charpoly_factorization': [[[35721, 0, 7938, 0, 189, 0, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 71}
  • id: 2536845
    {'charpoly_factorization': [[[4563, -7020, 4653, -1620, 303, -27, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 73}
  • id: 2536846
    {'charpoly_factorization': [[[-377, -15, 12, 1], 4]], 'hecke_orbit_code': 36030308881008860, 'p': 79}
  • id: 2536847
    {'charpoly_factorization': [[[177978515625, 0, 14238281250, 0, 980859375, 0, 11812500, 0, 106875, 0, 375, 0, 1], 1]], 'hecke_orbit_code': 36030308881008860, 'p': 83}
  • id: 2536848
    {'charpoly_factorization': [[[729, 0, 27, 0, 1], 3]], 'hecke_orbit_code': 36030308881008860, 'p': 89}
  • id: 2536849
    {'charpoly_factorization': [[[1728, 3456, 2736, 864, 60, -18, 1], 2]], 'hecke_orbit_code': 36030308881008860, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 23, 'hecke_orbit': 9, 'label': '2268.2.w.i', 'level': 2268, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52276195
    {'hecke_orbit_code': 36030308881008860, 'n': 1, 'trace_an': 12}
  • id: 52276196
    {'hecke_orbit_code': 36030308881008860, 'n': 2, 'trace_an': 0}
  • id: 52276197
    {'hecke_orbit_code': 36030308881008860, 'n': 3, 'trace_an': 0}
  • id: 52276198
    {'hecke_orbit_code': 36030308881008860, 'n': 4, 'trace_an': 0}
  • id: 52276199
    {'hecke_orbit_code': 36030308881008860, 'n': 5, 'trace_an': 0}
  • id: 52276200
    {'hecke_orbit_code': 36030308881008860, 'n': 6, 'trace_an': 0}
  • id: 52276201
    {'hecke_orbit_code': 36030308881008860, 'n': 7, 'trace_an': 0}
  • id: 52276202
    {'hecke_orbit_code': 36030308881008860, 'n': 8, 'trace_an': 0}
  • id: 52276203
    {'hecke_orbit_code': 36030308881008860, 'n': 9, 'trace_an': 0}
  • id: 52276204
    {'hecke_orbit_code': 36030308881008860, 'n': 10, 'trace_an': 0}
  • id: 52276205
    {'hecke_orbit_code': 36030308881008860, 'n': 11, 'trace_an': 0}
  • id: 52276206
    {'hecke_orbit_code': 36030308881008860, 'n': 12, 'trace_an': 0}
  • id: 52276207
    {'hecke_orbit_code': 36030308881008860, 'n': 13, 'trace_an': 0}
  • id: 52276208
    {'hecke_orbit_code': 36030308881008860, 'n': 14, 'trace_an': 0}
  • id: 52276209
    {'hecke_orbit_code': 36030308881008860, 'n': 15, 'trace_an': 0}
  • id: 52276210
    {'hecke_orbit_code': 36030308881008860, 'n': 16, 'trace_an': 0}
  • id: 52276211
    {'hecke_orbit_code': 36030308881008860, 'n': 17, 'trace_an': 0}
  • id: 52276212
    {'hecke_orbit_code': 36030308881008860, 'n': 18, 'trace_an': 0}
  • id: 52276213
    {'hecke_orbit_code': 36030308881008860, 'n': 19, 'trace_an': -18}
  • id: 52276214
    {'hecke_orbit_code': 36030308881008860, 'n': 20, 'trace_an': 0}
  • id: 52276215
    {'hecke_orbit_code': 36030308881008860, 'n': 21, 'trace_an': 0}
  • id: 52276216
    {'hecke_orbit_code': 36030308881008860, 'n': 22, 'trace_an': 0}
  • id: 52276217
    {'hecke_orbit_code': 36030308881008860, 'n': 23, 'trace_an': 0}
  • id: 52276218
    {'hecke_orbit_code': 36030308881008860, 'n': 24, 'trace_an': 0}
  • id: 52276219
    {'hecke_orbit_code': 36030308881008860, 'n': 25, 'trace_an': 0}
  • id: 52276220
    {'hecke_orbit_code': 36030308881008860, 'n': 26, 'trace_an': 0}
  • id: 52276221
    {'hecke_orbit_code': 36030308881008860, 'n': 27, 'trace_an': 0}
  • id: 52276222
    {'hecke_orbit_code': 36030308881008860, 'n': 28, 'trace_an': 0}
  • id: 52276223
    {'hecke_orbit_code': 36030308881008860, 'n': 29, 'trace_an': 0}
  • id: 52276224
    {'hecke_orbit_code': 36030308881008860, 'n': 30, 'trace_an': 0}
  • id: 52276225
    {'hecke_orbit_code': 36030308881008860, 'n': 31, 'trace_an': 0}
  • id: 52276226
    {'hecke_orbit_code': 36030308881008860, 'n': 32, 'trace_an': 0}
  • id: 52276227
    {'hecke_orbit_code': 36030308881008860, 'n': 33, 'trace_an': 0}
  • id: 52276228
    {'hecke_orbit_code': 36030308881008860, 'n': 34, 'trace_an': 0}
  • id: 52276229
    {'hecke_orbit_code': 36030308881008860, 'n': 35, 'trace_an': 0}
  • id: 52276230
    {'hecke_orbit_code': 36030308881008860, 'n': 36, 'trace_an': 0}
  • id: 52276231
    {'hecke_orbit_code': 36030308881008860, 'n': 37, 'trace_an': -24}
  • id: 52276232
    {'hecke_orbit_code': 36030308881008860, 'n': 38, 'trace_an': 0}
  • id: 52276233
    {'hecke_orbit_code': 36030308881008860, 'n': 39, 'trace_an': 0}
  • id: 52276234
    {'hecke_orbit_code': 36030308881008860, 'n': 40, 'trace_an': 0}
  • id: 52276235
    {'hecke_orbit_code': 36030308881008860, 'n': 41, 'trace_an': 0}
  • id: 52276236
    {'hecke_orbit_code': 36030308881008860, 'n': 42, 'trace_an': 0}
  • id: 52276237
    {'hecke_orbit_code': 36030308881008860, 'n': 43, 'trace_an': 6}
  • id: 52276238
    {'hecke_orbit_code': 36030308881008860, 'n': 44, 'trace_an': 0}
  • id: 52276239
    {'hecke_orbit_code': 36030308881008860, 'n': 45, 'trace_an': 0}
  • id: 52276240
    {'hecke_orbit_code': 36030308881008860, 'n': 46, 'trace_an': 0}
  • id: 52276241
    {'hecke_orbit_code': 36030308881008860, 'n': 47, 'trace_an': 0}
  • id: 52276242
    {'hecke_orbit_code': 36030308881008860, 'n': 48, 'trace_an': 0}
  • id: 52276243
    {'hecke_orbit_code': 36030308881008860, 'n': 49, 'trace_an': 0}
  • id: 52276244
    {'hecke_orbit_code': 36030308881008860, 'n': 50, 'trace_an': 0}
  • id: 52276245
    {'hecke_orbit_code': 36030308881008860, 'n': 51, 'trace_an': 0}
  • id: 52276246
    {'hecke_orbit_code': 36030308881008860, 'n': 52, 'trace_an': 0}
  • id: 52276247
    {'hecke_orbit_code': 36030308881008860, 'n': 53, 'trace_an': 0}
  • id: 52276248
    {'hecke_orbit_code': 36030308881008860, 'n': 54, 'trace_an': 0}
  • id: 52276249
    {'hecke_orbit_code': 36030308881008860, 'n': 55, 'trace_an': 0}
  • id: 52276250
    {'hecke_orbit_code': 36030308881008860, 'n': 56, 'trace_an': 0}
  • id: 52276251
    {'hecke_orbit_code': 36030308881008860, 'n': 57, 'trace_an': 0}
  • id: 52276252
    {'hecke_orbit_code': 36030308881008860, 'n': 58, 'trace_an': 0}
  • id: 52276253
    {'hecke_orbit_code': 36030308881008860, 'n': 59, 'trace_an': 0}
  • id: 52276254
    {'hecke_orbit_code': 36030308881008860, 'n': 60, 'trace_an': 0}
  • id: 52276255
    {'hecke_orbit_code': 36030308881008860, 'n': 61, 'trace_an': 0}
  • id: 52276256
    {'hecke_orbit_code': 36030308881008860, 'n': 62, 'trace_an': 0}
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