Embedded newform data - 768.2.c.i.767.1

Formats: - HTML - YAML - JSON - 2024-04-16T23:40:16.505979

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 3072, 'analytic_conductor': 6.132510875234334, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [768, 2, [511, 517, 257], [1, 2, 1]], 'cm_discs': [-24], 'conrey_index': 767, 'conrey_indexes': [767], 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [12, 0, 1]], [7, [4, 0, 1]], [11, [-12, 0, 1]], [13, [0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491472640, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 8, -1, 2, -24], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '768.2.c.i', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '192.2.f.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\zeta_{12}q^{3}-\\zeta_{12}^{2}q^{5}+\\zeta_{12}^{3}q^{7}+3q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.1.d2', 'self_twist_discs': [-24], 'self_twist_type': 1, 'space_label': '768.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1303922368898259356, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.568', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '163.165', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8384.531', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.883', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -24, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 120, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 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, 0, 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, 96, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 240, 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, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -72, 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, 112, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 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, 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, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 24, 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, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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], [-1.0, 0.0], [0.0, 0.0], [0.0, -1.5491933384829668], [0.0, 0.0], [0.0, 0.7559289460184545], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [1.044465935734187, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5491933384829668], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.7559289460184545], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.4, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, -1.9298025627080306], [0.0, 0.0], [0.0, -1.796053020267749], [0.0, 0.0], [-1.044465935734187, 0.0], [0.0, 0.0], [1.1710800875382399, 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], [0.0, -1.5491933384829668], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.42857142857142855, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.4758309514308865], [0.0, 0.0], [0.0, -1.618079669911781], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.352962850405092, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.7559289460184545], [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], [1.638576060745828, 0.0], [0.0, 0.0], [1.4, 0.0], [0.0, 0.0], [0.0, 0.7895420339517227], [0.0, 0.0], [0.0, -1.125087900926024], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-1.9011727515734338, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9298025627080306], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.796053020267749], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2030692330267238, 0.0], [0.0, 0.0], [1.044465935734187, 0.0], [0.0, 0.0], [0.0, -0.34469099377285567], [0.0, 0.0], [0.0, -1.3794609894300105], [0.0, 0.0], [-1.1710800875382399, 0.0], [0.0, 0.0], [1.6744367165578427, 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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.09090909090909091, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6196773353931867], [0.0, 0.0], [0.0, 1.9521843207154503], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.30265996338319096, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5491933384829668], [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], [-2.9896372747346387, 0.0], [0.0, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [0.0, 1.9865318333296889], [0.0, 0.0], [0.0, 0.16275769175423188], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.7824333745610095, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.4758309514308865], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.618079669911781], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.3168538439184414], [0.0, 0.0], [0.0, -1.0583005244258363], [0.0, 0.0], [1.352962850405092, 0.0], [0.0, 0.0], [1.812433778408833, 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], [0.0, -0.7559289460184545], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8715209519466058, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.727649146558427], [0.0, 0.0], [0.0, -0.9924336870116702], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.458793617251594, 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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3576884666042612, 0.0], [0.0, 0.0], [-1.638576060745828, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.7410887784743052], [0.0, 0.0], [-1.4, 0.0], [0.0, 0.0], [0.6897614987154126, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.7895420339517227], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.125087900926024], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6441566264008308, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, -0.6639400022069858], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9011727515734338, 0.0], [0.0, 0.0], [1.9678693961133098, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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-0.41736104881463104, 0.0, -0.33188343670419895, -0.1939596765651516, -0.25, 0.0, -0.25, -0.19780928022863253, -0.028566873946830967, 0.0, -0.25, -0.4486932811165588, 0.1164679926050222, -0.25, 0.0, 0.0, -0.317776338171, 0.0, -0.25, -0.45534535315982066, 0.08084662051882781, 0.0, -0.3522589135180426, -0.3627977544594743, -0.25, 0.0, -0.25, 0.2295942178071214, -0.25, 0.0, -0.25, 0.10536735713213312, -0.25, 0.0, -0.28976083313729367, -0.20915174054706384, -0.25, -0.25, -0.3046044566814079, 0.15063772924383734, -0.1172635949586588, 0.0, -0.07577595991950012, -0.3262663337144375, -0.39675414115670027, -0.3156249879712943, -0.25, 0.0072144693426664545, -0.41471526269959624, 0.0, -0.25, 0.24001700027328143, 0.0, 0.0, -0.25, 0.0, 0.20157159470631097, -0.10162604607346297, 0.0, 0.0, -0.3952145035599944, -0.19182364920502973, 0.0, -0.25, -0.25649386724161655, 0.07366062804953291, -0.25, 0.0, 0.0, 0.23445567909950593, 0.0, 0.0, -0.25, 0.05502774384908237, -0.17171233882094894, -0.25, -0.13627071878086808, 0.24134524337285432, -0.48274137248724336, 0.0, -0.372161399787567, -0.25, -0.25, 0.005904084161275054, -0.25, 0.0, -0.25, -0.4707981971729518, -0.25, 0.0, -0.17234469299644387, 0.19205992078940987, 0.0, 0.04962277135467938, 0.0, 0.0, -0.4084468135922173, -0.3519567058187572, -0.27891619990972116, -0.25, -0.25, -0.25, 0.0, 0.0, -0.25, -0.25, 0.0, 0.0, -0.25, 0.0, -0.25, 0.15432067864395424, 0.0, -0.448144201040619, -0.39334391599098245, -0.18554746721173396, 0.0, -0.26254968024064834, -0.24114894518406532, 0.0, -0.25, -0.31359885834609375, -0.25], 'char_orbit_index': 3, 'conrey_index': 767, 'dual_conrey_index': 767, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.5, 'embedding_root_real': 0.8660254037844386, 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491472640, 'label': '768.2.c.i.767.1', 'level': 768, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 3072, 'analytic_conductor': 6.132510875234334, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [768, 2, [511, 517, 257], [1, 2, 1]], 'conrey_index': 767, 'cusp_dim': 104, 'dim': 28, 'eis_dim': 48, 'eis_new_dim': 8, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 137472508672, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 4, 4, 4, 4], 'label': '768.2.c', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 152, 'mf_new_dim': 36, 'num_forms': 10, 'prim_orbit_index': 2, 'relative_dim': 28, 'sturm_bound': 256, 'trace_bound': 25, 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -48, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 280, 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, 272, 0, 0, 0, 0, 0, 0, 0, 292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 284, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -268, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -400, 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: 46604791
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.1', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46604792
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.4', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46604793
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.3', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46604794
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.2', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46604795
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.4', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46604796
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.2', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46604797
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.3', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46604798
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.4', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46604799
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.2', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46604800
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.1', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 46604801
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.1', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46604802
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 767, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028934491472640, 'target_is_minimal': False, 'target_label': '768.2.c.i.767.3', 'target_level': 768, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46604803
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.1', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46604804
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.3', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46604805
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.4', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 46604806
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 767, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028934491472640, 'source_is_minimal': False, 'source_label': '768.2.c.i.767.1', 'source_level': 768, 'target_conrey_index': 95, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343630938304, 'target_is_minimal': True, 'target_label': '192.2.f.a.95.2', 'target_level': 192, 'twist_class_label': '192.2.f.a.95.1', 'twist_class_level': 192, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1300400
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 2}
  • id: 1300401
    {'charpoly_factorization': [[[-3, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 3}
  • id: 1300402
    {'charpoly_factorization': [[[12, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 5}
  • id: 1300403
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 7}
  • id: 1300404
    {'charpoly_factorization': [[[-12, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 11}
  • id: 1300405
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 13}
  • id: 1300406
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 17}
  • id: 1300407
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 19}
  • id: 1300408
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 23}
  • id: 1300409
    {'charpoly_factorization': [[[108, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 29}
  • id: 1300410
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 31}
  • id: 1300411
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 37}
  • id: 1300412
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 41}
  • id: 1300413
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 43}
  • id: 1300414
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 47}
  • id: 1300415
    {'charpoly_factorization': [[[12, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 53}
  • id: 1300416
    {'charpoly_factorization': [[[-108, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 59}
  • id: 1300417
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 61}
  • id: 1300418
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 67}
  • id: 1300419
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 71}
  • id: 1300420
    {'charpoly_factorization': [[[-14, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 73}
  • id: 1300421
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 79}
  • id: 1300422
    {'charpoly_factorization': [[[-300, 0, 1], 2]], 'hecke_orbit_code': 36028934491472640, 'p': 83}
  • id: 1300423
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491472640, 'p': 89}
  • id: 1300424
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 36028934491472640, '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': 3, 'hecke_orbit': 9, 'label': '768.2.c.i', 'level': 768, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 201306000
    {'hecke_orbit_code': 36028934491472640, 'n': 1, 'trace_an': 4}
  • id: 201306001
    {'hecke_orbit_code': 36028934491472640, 'n': 2, 'trace_an': 0}
  • id: 201306002
    {'hecke_orbit_code': 36028934491472640, 'n': 3, 'trace_an': 0}
  • id: 201306003
    {'hecke_orbit_code': 36028934491472640, 'n': 4, 'trace_an': 0}
  • id: 201306004
    {'hecke_orbit_code': 36028934491472640, 'n': 5, 'trace_an': 0}
  • id: 201306005
    {'hecke_orbit_code': 36028934491472640, 'n': 6, 'trace_an': 0}
  • id: 201306006
    {'hecke_orbit_code': 36028934491472640, 'n': 7, 'trace_an': 0}
  • id: 201306007
    {'hecke_orbit_code': 36028934491472640, 'n': 8, 'trace_an': 0}
  • id: 201306008
    {'hecke_orbit_code': 36028934491472640, 'n': 9, 'trace_an': 12}
  • id: 201306009
    {'hecke_orbit_code': 36028934491472640, 'n': 10, 'trace_an': 0}
  • id: 201306010
    {'hecke_orbit_code': 36028934491472640, 'n': 11, 'trace_an': 0}
  • id: 201306011
    {'hecke_orbit_code': 36028934491472640, 'n': 12, 'trace_an': 0}
  • id: 201306012
    {'hecke_orbit_code': 36028934491472640, 'n': 13, 'trace_an': 0}
  • id: 201306013
    {'hecke_orbit_code': 36028934491472640, 'n': 14, 'trace_an': 0}
  • id: 201306014
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  • id: 201306812
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  • id: 201306813
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  • id: 201306814
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  • id: 201306815
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  • id: 201306816
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  • id: 201306818
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  • id: 201306819
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  • id: 201306820
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  • id: 201306821
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  • id: 201306822
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  • id: 201306823
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  • id: 201306824
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  • id: 201306825
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  • id: 201306826
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  • id: 201306827
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  • id: 201306828
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  • id: 201306829
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  • id: 201306830
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  • id: 201306831
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  • id: 201306832
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  • id: 201306834
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  • id: 201306835
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  • id: 201306837
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  • id: 201306839
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  • id: 201306844
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  • id: 201306845
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  • id: 201306846
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  • id: 201306872
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  • id: 201306880
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  • id: 201306881
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  • id: 201306882
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  • id: 201306883
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  • id: 201306884
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  • id: 201306890
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  • id: 201306891
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  • id: 201306909
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  • id: 201306910
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  • id: 201306911
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  • id: 201306912
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  • id: 201306913
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  • id: 201306914
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  • id: 201306915
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  • id: 201306916
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  • id: 201306917
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  • id: 201306918
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  • id: 201306919
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  • id: 201306926
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  • id: 201306927
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  • id: 201306928
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  • id: 201306929
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  • id: 201306930
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  • id: 201306935
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  • id: 201306936
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  • id: 201306937
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  • id: 201306938
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  • id: 201306939
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  • id: 201306940
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  • id: 201306941
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  • id: 201306942
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  • id: 201306943
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  • id: 201306945
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  • id: 201306947
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  • id: 201306948
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  • id: 201306954
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  • id: 201306956
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  • id: 201306959
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  • id: 201306960
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  • id: 201306963
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  • id: 201306972
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