Embedded newform data - 108.2.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-10-06T08:39:43.063934

• 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': 432, 'analytic_conductor': 0.8623843418298281, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [108, 1, [55, 29], [1, 1]], 'cm_discs': [-3], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 33554540, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, -3]], 'is_cm': True, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '108.2.a.a', 'level': 108, 'level_is_powerful': True, '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], 'level_radical': 6, 'minimal_twist': '108.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+5q^{7}-7q^{13}-q^{19}-5q^{25}-4q^{31}+\\cdots', 'related_objects': ['EllipticCurve/Q/108/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.1.d1', 'self_twist_discs': [-3], 'self_twist_type': 1, 'space_label': '108.2.a', 'trace_display': [0, 0, 0, 5], 'trace_hash': 1492895464694528898, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 4}, {'__RealLiteral__': 0, 'data': '0.979', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.038', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.947', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.129', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.836', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 10}, 'traces': [1, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -37, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -43, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, -23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 41, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, -37, 0, 0, 0, 0, 0, -49, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, 91, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, -43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -77, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 59, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, -61, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, -10, 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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.889822365046136, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.941450686788302, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.22941573387056177, 0.0], [0.0, 0.0], [0.0, 0.0], [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, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1643989873053573, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.5714285714285716, 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], [-1.6644794391276476, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3438638879193574, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9896995023342197, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.462614271203831, 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], [-3.668996928526714, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5076730825668095, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.25, -0.05307390375241415, -0.25, -0.46139476042218336, -0.25, -0.26829659876008183, -0.25, -0.25, -0.3084770123204803, -0.26309723320541173, -0.25, -0.1455858625861807, -0.25, -0.25, -0.25, -0.40647084303245806, -0.1327323643340909, -0.25, -0.01615979345678772, -0.3805446890477144, -0.25, -0.25, -0.20915373417056868, -0.25, -0.30603769495602146, -0.25, -0.23473231515373721, -0.25, -0.07626965582205072, -0.25, -0.25, -0.29797075614333807, -0.25, -0.05731389189811878, -0.15565768064597282, -0.13405130278919217, -0.25, -0.25, -0.25, -0.3747801724509505, -0.25, -0.42813280640142415, -0.25, -0.14707589714649577, -0.009494391921978033, -0.4434372318105037, -0.25, -0.37951992831078674, -0.25, -0.25, -0.4911168344470843, -0.25, -0.25, -0.25, -0.25, -0.2548347306798152, -0.10733089493039603, -0.25, -0.04997694134910783, -0.25, -0.3254636263164496, -0.25, -0.3098762881830902, -0.25, -0.41229214246334783, -0.10507519943405326, -0.25, -0.1444607203194269, -0.25, -0.25, -0.40002069403835483, -0.3620353863651113, -0.44960219787963024, -0.25, -0.25, -0.4126723685643987, -0.25, -0.2776833513202166, -0.25, -0.00671952767600021, -0.25, -0.24234855448343218, -0.36646395606055165, -0.25, -0.25, -0.2875728029450435, -0.25, -0.493592662691106, -0.25, -0.25, -0.3208289241555028, -0.25, -0.12292660483378162, -0.25, -0.25, -0.25, -0.11131469992439588, -0.19045866204865275], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 33554540, 'label': '108.2.a.a.1.1', 'level': 108, '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

  
  {'ALdims': [0, 0, 1, 0], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 3, 3], 'ALdims_old': [1, 3, 2, 3], 'Nk2': 432, 'analytic_conductor': 0.8623843418298281, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [108, 1, [55, 29], [1, 1]], 'conrey_index': 1, 'cusp_dim': 10, 'dim': 1, 'eis_dim': 17, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 33554540, 'hecke_orbit_dims': [1], 'label': '108.2.a', 'level': 108, 'level_is_powerful': True, '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], 'level_radical': 6, 'mf_dim': 27, 'mf_new_dim': 1, 'num_forms': 1, 'plus_dim': 0, 'prim_orbit_index': 1, 'relative_dim': 1, 'sturm_bound': 36, 'trace_bound': 0, 'trace_display': [0, 0, 0, 5], 'traces': [1, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -37, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -43, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, -23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 41, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, -37, 0, 0, 0, 0, 0, -49, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, 91, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, -43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -77, 0, 0, 0, 0, 0, -25, 0, 0, 0, 0, 0, -55, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 59, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, -61, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, -10, 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: 3108
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554540, 'target_is_minimal': True, 'target_label': '108.2.a.a.1.1', 'target_level': 108, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 3109
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554540, 'target_is_minimal': True, 'target_label': '108.2.a.a.1.1', 'target_level': 108, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 3110
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666352, 'target_is_minimal': False, 'target_label': '432.2.a.d.1.1', 'target_level': 432, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 3111
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021803956210316, 'target_is_minimal': False, 'target_label': '2700.2.d.g.649.2', 'target_level': 2700, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 3112
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021803956210316, 'target_is_minimal': False, 'target_label': '2700.2.d.g.649.1', 'target_level': 2700, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 3113
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660927628, 'target_is_minimal': False, 'target_label': '2700.2.a.b.1.1', 'target_level': 2700, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 3114
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679894188, 'target_is_minimal': False, 'target_label': '5292.2.a.j.1.1', 'target_level': 5292, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 3115
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562002112, 'target_is_minimal': False, 'target_label': '1728.2.a.m.1.1', 'target_level': 1728, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 3116
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113600, 'target_is_minimal': False, 'target_label': '1728.2.a.p.1.1', 'target_level': 1728, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 3117
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832196, 'target_is_minimal': False, 'target_label': '324.2.e.b.109.1', 'target_level': 324, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 3118
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 217, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832196, 'target_is_minimal': False, 'target_label': '324.2.e.b.217.1', 'target_level': 324, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 3119
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 217, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832196, 'target_is_minimal': False, 'target_label': '324.2.e.b.217.1', 'target_level': 324, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 3120
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832196, 'target_is_minimal': False, 'target_label': '324.2.e.b.109.1', 'target_level': 324, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 3121
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666352, 'target_is_minimal': False, 'target_label': '432.2.a.d.1.1', 'target_level': 432, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 3122
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021803956210316, 'target_is_minimal': False, 'target_label': '2700.2.d.g.649.2', 'target_level': 2700, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 3123
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021803956210316, 'target_is_minimal': False, 'target_label': '2700.2.d.g.649.1', 'target_level': 2700, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 3124
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660927628, 'target_is_minimal': False, 'target_label': '2700.2.a.b.1.1', 'target_level': 2700, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 3125
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679894188, 'target_is_minimal': False, 'target_label': '5292.2.a.j.1.1', 'target_level': 5292, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 3126
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113600, 'target_is_minimal': False, 'target_label': '1728.2.a.p.1.1', 'target_level': 1728, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 3127
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562002112, 'target_is_minimal': False, 'target_label': '1728.2.a.m.1.1', 'target_level': 1728, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 3128
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 433, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532946435704080, 'target_is_minimal': False, 'target_label': '1296.2.i.j.433.1', 'target_level': 1296, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 3129
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 433, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532946435704080, 'target_is_minimal': False, 'target_label': '1296.2.i.j.433.1', 'target_level': 1296, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 3130
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 865, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532946435704080, 'target_is_minimal': False, 'target_label': '1296.2.i.j.865.1', 'target_level': 1296, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 3131
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33554540, 'source_is_minimal': True, 'source_label': '108.2.a.a.1.1', 'source_level': 108, 'target_conrey_index': 865, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532946435704080, 'target_is_minimal': False, 'target_label': '1296.2.i.j.865.1', 'target_level': 1296, 'twist_class_label': '108.2.a.a.1.1', 'twist_class_level': 108, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 312850
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 2}
  • id: 312851
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 3}
  • id: 312852
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 5}
  • id: 312853
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 7}
  • id: 312854
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 11}
  • id: 312855
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 13}
  • id: 312856
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 17}
  • id: 312857
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 19}
  • id: 312858
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 23}
  • id: 312859
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 29}
  • id: 312860
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 31}
  • id: 312861
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 37}
  • id: 312862
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 41}
  • id: 312863
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 43}
  • id: 312864
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 47}
  • id: 312865
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 53}
  • id: 312866
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 59}
  • id: 312867
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 61}
  • id: 312868
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 67}
  • id: 312869
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 71}
  • id: 312870
    {'charpoly_factorization': [[[-17, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 73}
  • id: 312871
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 79}
  • id: 312872
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 83}
  • id: 312873
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554540, 'p': 89}
  • id: 312874
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 33554540, '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': 1, 'hecke_orbit': 1, 'label': '108.2.a.a', 'level': 108, '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: 22962
    {'hecke_orbit_code': 33554540, 'n': 1, 'trace_an': 1}
  • id: 22963
    {'hecke_orbit_code': 33554540, 'n': 2, 'trace_an': 0}
  • id: 22964
    {'hecke_orbit_code': 33554540, 'n': 3, 'trace_an': 0}
  • id: 22965
    {'hecke_orbit_code': 33554540, 'n': 4, 'trace_an': 0}
  • id: 22966
    {'hecke_orbit_code': 33554540, 'n': 5, 'trace_an': 0}
  • id: 22967
    {'hecke_orbit_code': 33554540, 'n': 6, 'trace_an': 0}
  • id: 22968
    {'hecke_orbit_code': 33554540, 'n': 7, 'trace_an': 5}
  • id: 22969
    {'hecke_orbit_code': 33554540, 'n': 8, 'trace_an': 0}
  • id: 22970
    {'hecke_orbit_code': 33554540, 'n': 9, 'trace_an': 0}
  • id: 22971
    {'hecke_orbit_code': 33554540, 'n': 10, 'trace_an': 0}
  • id: 22972
    {'hecke_orbit_code': 33554540, 'n': 11, 'trace_an': 0}
  • id: 22973
    {'hecke_orbit_code': 33554540, 'n': 12, 'trace_an': 0}
  • id: 22974
    {'hecke_orbit_code': 33554540, 'n': 13, 'trace_an': -7}
  • id: 22975
    {'hecke_orbit_code': 33554540, 'n': 14, 'trace_an': 0}
  • id: 22976
    {'hecke_orbit_code': 33554540, 'n': 15, 'trace_an': 0}
  • id: 22977
    {'hecke_orbit_code': 33554540, 'n': 16, 'trace_an': 0}
  • id: 22978
    {'hecke_orbit_code': 33554540, 'n': 17, 'trace_an': 0}
  • id: 22979
    {'hecke_orbit_code': 33554540, 'n': 18, 'trace_an': 0}
  • id: 22980
    {'hecke_orbit_code': 33554540, 'n': 19, 'trace_an': -1}
  • id: 22981
    {'hecke_orbit_code': 33554540, 'n': 20, 'trace_an': 0}
  • id: 22982
    {'hecke_orbit_code': 33554540, 'n': 21, 'trace_an': 0}
  • id: 22983
    {'hecke_orbit_code': 33554540, 'n': 22, 'trace_an': 0}
  • id: 22984
    {'hecke_orbit_code': 33554540, 'n': 23, 'trace_an': 0}
  • id: 22985
    {'hecke_orbit_code': 33554540, 'n': 24, 'trace_an': 0}
  • id: 22986
    {'hecke_orbit_code': 33554540, 'n': 25, 'trace_an': -5}
  • id: 22987
    {'hecke_orbit_code': 33554540, 'n': 26, 'trace_an': 0}
  • id: 22988
    {'hecke_orbit_code': 33554540, 'n': 27, 'trace_an': 0}
  • id: 22989
    {'hecke_orbit_code': 33554540, 'n': 28, 'trace_an': 0}
  • id: 22990
    {'hecke_orbit_code': 33554540, 'n': 29, 'trace_an': 0}
  • id: 22991
    {'hecke_orbit_code': 33554540, 'n': 30, 'trace_an': 0}
  • id: 22992
    {'hecke_orbit_code': 33554540, 'n': 31, 'trace_an': -4}
  • id: 22993
    {'hecke_orbit_code': 33554540, 'n': 32, 'trace_an': 0}
  • id: 22994
    {'hecke_orbit_code': 33554540, 'n': 33, 'trace_an': 0}
  • id: 22995
    {'hecke_orbit_code': 33554540, 'n': 34, 'trace_an': 0}
  • id: 22996
    {'hecke_orbit_code': 33554540, 'n': 35, 'trace_an': 0}
  • id: 22997
    {'hecke_orbit_code': 33554540, 'n': 36, 'trace_an': 0}
  • id: 22998
    {'hecke_orbit_code': 33554540, 'n': 37, 'trace_an': -1}
  • id: 22999
    {'hecke_orbit_code': 33554540, 'n': 38, 'trace_an': 0}
  • id: 23000
    {'hecke_orbit_code': 33554540, 'n': 39, 'trace_an': 0}
  • id: 23001
    {'hecke_orbit_code': 33554540, 'n': 40, 'trace_an': 0}
  • id: 23002
    {'hecke_orbit_code': 33554540, 'n': 41, 'trace_an': 0}
  • id: 23003
    {'hecke_orbit_code': 33554540, 'n': 42, 'trace_an': 0}
  • id: 23004
    {'hecke_orbit_code': 33554540, 'n': 43, 'trace_an': 8}
  • id: 23005
    {'hecke_orbit_code': 33554540, 'n': 44, 'trace_an': 0}
  • id: 23006
    {'hecke_orbit_code': 33554540, 'n': 45, 'trace_an': 0}
  • id: 23007
    {'hecke_orbit_code': 33554540, 'n': 46, 'trace_an': 0}
  • id: 23008
    {'hecke_orbit_code': 33554540, 'n': 47, 'trace_an': 0}
  • id: 23009
    {'hecke_orbit_code': 33554540, 'n': 48, 'trace_an': 0}
  • id: 23010
    {'hecke_orbit_code': 33554540, 'n': 49, 'trace_an': 18}
  • id: 23011
    {'hecke_orbit_code': 33554540, 'n': 50, 'trace_an': 0}
  • id: 23012
    {'hecke_orbit_code': 33554540, 'n': 51, 'trace_an': 0}
  • id: 23013
    {'hecke_orbit_code': 33554540, 'n': 52, 'trace_an': 0}
  • id: 23014
    {'hecke_orbit_code': 33554540, 'n': 53, 'trace_an': 0}
  • id: 23015
    {'hecke_orbit_code': 33554540, 'n': 54, 'trace_an': 0}
  • id: 23016
    {'hecke_orbit_code': 33554540, 'n': 55, 'trace_an': 0}
  • id: 23017
    {'hecke_orbit_code': 33554540, 'n': 56, 'trace_an': 0}
  • id: 23018
    {'hecke_orbit_code': 33554540, 'n': 57, 'trace_an': 0}
  • id: 23019
    {'hecke_orbit_code': 33554540, 'n': 58, 'trace_an': 0}
  • id: 23020
    {'hecke_orbit_code': 33554540, 'n': 59, 'trace_an': 0}
  • id: 23021
    {'hecke_orbit_code': 33554540, 'n': 60, 'trace_an': 0}
  • id: 23022
    {'hecke_orbit_code': 33554540, 'n': 61, 'trace_an': -13}
  • id: 23023
    {'hecke_orbit_code': 33554540, 'n': 62, 'trace_an': 0}
  • id: 23024
    {'hecke_orbit_code': 33554540, 'n': 63, 'trace_an': 0}
  • id: 23025
    {'hecke_orbit_code': 33554540, 'n': 64, 'trace_an': 0}
  • id: 23026
    {'hecke_orbit_code': 33554540, 'n': 65, 'trace_an': 0}
  • id: 23027
    {'hecke_orbit_code': 33554540, 'n': 66, 'trace_an': 0}
  • id: 23028
    {'hecke_orbit_code': 33554540, 'n': 67, 'trace_an': 11}
  • id: 23029
    {'hecke_orbit_code': 33554540, 'n': 68, 'trace_an': 0}
  • id: 23030
    {'hecke_orbit_code': 33554540, 'n': 69, 'trace_an': 0}
  • id: 23031
    {'hecke_orbit_code': 33554540, 'n': 70, 'trace_an': 0}
  • id: 23032
    {'hecke_orbit_code': 33554540, 'n': 71, 'trace_an': 0}
  • id: 23033
    {'hecke_orbit_code': 33554540, 'n': 72, 'trace_an': 0}
  • id: 23034
    {'hecke_orbit_code': 33554540, 'n': 73, 'trace_an': 17}
  • id: 23035
    {'hecke_orbit_code': 33554540, 'n': 74, 'trace_an': 0}
  • id: 23036
    {'hecke_orbit_code': 33554540, 'n': 75, 'trace_an': 0}
  • id: 23037
    {'hecke_orbit_code': 33554540, 'n': 76, 'trace_an': 0}
  • id: 23038
    {'hecke_orbit_code': 33554540, 'n': 77, 'trace_an': 0}
  • id: 23039
    {'hecke_orbit_code': 33554540, 'n': 78, 'trace_an': 0}
  • id: 23040
    {'hecke_orbit_code': 33554540, 'n': 79, 'trace_an': -13}
  • id: 23041
    {'hecke_orbit_code': 33554540, 'n': 80, 'trace_an': 0}
  • id: 23042
    {'hecke_orbit_code': 33554540, 'n': 81, 'trace_an': 0}
  • id: 23043
    {'hecke_orbit_code': 33554540, 'n': 82, 'trace_an': 0}
  • id: 23044
    {'hecke_orbit_code': 33554540, 'n': 83, 'trace_an': 0}
  • id: 23045
    {'hecke_orbit_code': 33554540, 'n': 84, 'trace_an': 0}
  • id: 23046
    {'hecke_orbit_code': 33554540, 'n': 85, 'trace_an': 0}
  • id: 23047
    {'hecke_orbit_code': 33554540, 'n': 86, 'trace_an': 0}
  • id: 23048
    {'hecke_orbit_code': 33554540, 'n': 87, 'trace_an': 0}
  • id: 23049
    {'hecke_orbit_code': 33554540, 'n': 88, 'trace_an': 0}
  • id: 23050
    {'hecke_orbit_code': 33554540, 'n': 89, 'trace_an': 0}
  • id: 23051
    {'hecke_orbit_code': 33554540, 'n': 90, 'trace_an': 0}
  • id: 23052
    {'hecke_orbit_code': 33554540, 'n': 91, 'trace_an': -35}
  • id: 23053
    {'hecke_orbit_code': 33554540, 'n': 92, 'trace_an': 0}
  • id: 23054
    {'hecke_orbit_code': 33554540, 'n': 93, 'trace_an': 0}
  • id: 23055
    {'hecke_orbit_code': 33554540, 'n': 94, 'trace_an': 0}
  • id: 23056
    {'hecke_orbit_code': 33554540, 'n': 95, 'trace_an': 0}
  • id: 23057
    {'hecke_orbit_code': 33554540, 'n': 96, 'trace_an': 0}
  • id: 23058
    {'hecke_orbit_code': 33554540, 'n': 97, 'trace_an': 5}
  • id: 23059
    {'hecke_orbit_code': 33554540, 'n': 98, 'trace_an': 0}
  • id: 23060
    {'hecke_orbit_code': 33554540, 'n': 99, 'trace_an': 0}
  • id: 23061
    {'hecke_orbit_code': 33554540, 'n': 100, 'trace_an': 0}