Newform data - 95.2.i.a

Formats: - HTML - YAML - JSON - 2026-09-11T07:14:37.399819

• 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': 380, 'analytic_conductor': 0.7585788192021636, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 95, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 6, 'char_parity': 1, 'char_values': [95, 6, [77, 21], [3, 4]], 'cm_discs': [], 'conrey_index': 49, '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': [[2, [16, 0, -4, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 549789368415, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 19, 3, 1, 3, 0], [1, 1, 95, 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': True, 'label': '95.2.i.a', 'level': 95, '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': True, 'level_primes': [5, 19], 'level_radical': 95, 'minimal_twist': '95.2.i.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 9, 'qexp_display': 'q+\\beta_1 q^{2}+2\\beta_{2} q^{4}+(-\\beta_{2}-\\beta_1+1)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '95.2.i', 'trace_display': [0, 0, 2, 0], 'trace_hash': 1295409407661321960, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.011', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.914', 'prec': 14}, {'__RealLiteral__': 0, 'data': '1.270', 'prec': 14}, {'__RealLiteral__': 0, 'data': '96.740', 'prec': 17}, {'__RealLiteral__': 0, 'data': '78.795', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3608.047', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 10}, 'traces': [4, 0, 0, 4, 2, 0, 0, 0, -6, -8, -4, 0, 0, -16, 0, 8, 0, 0, 14, 8, 0, 0, 0, 0, 6, -16, 0, 0, 18, 0, -28, 0, 0, -8, 16, 12, 0, 0, 0, 0, -4, 0, 0, -4, -12, 48, 0, 0, -36, -32, 0, 0, 0, 0, -2, 0, 0, 0, 18, 0, 14, 0, 0, 32, 16, 0, 0, 0, 0, 16, -2, 0, 0, 8, 0, -4, 0, 0, 2, -8, -18, 0, 0, 0, 8, -8, 0, 0, -22, -24, -16, 0, 0, -48, 16, 0, 0, 0, 6, -12, -30, 0, 0, 0, 0, 32, 0, 0, 30, 8, 0, 0, 0, 0, -48, -36, 0, 0, 16, 0, -40, 0, 0, -28, 44, 96, 0, 0, 0, -8, -24, 0, 0, 80, 0, 0, 0, 0, 40, 64, 0, 0, 0, -48, 36, -40, 0, 0, -2, 0, 36, 0, 0, 16, -14, 0, 0, 0, 0, -64, 48, 0, 0, -16, 0, 24, 0, 0, -18, -16, 6, 0, 0, 0, -32, -8, 0, 0, -60, -12, 12, 0, 0, 0, -8, 0, 0, 0, 0, 8, -12, 0, 0, -24, 0, -36, 0, 0, 26, 0, 0, 0, 0, 0, 4, -64, 0, 0, -14, 0, -10, 0, 0, -40, 8, 0, 0, 0, 0, -8, 16, 0, 0, 64, 18, 48, 0, 0, -68, 24, 0, 0, 0, 24, 48, 72, 0, 0, 76, 0, -2, 0, 0, -28, -18, 0, 0, 0, 0, 8, -26, 0, 0, 48, 0, -32, 0, 0, 32, 16, 54, 0, 0, 0, -32, -128, 0, 0, 6, 0, -6, 0, 0, -96, -6, 0, 0, 0, 42, 0, -20, 0, 0, -8, 0, 16, 0, 0, -26, 72, 0, 0, 0, 0, -18, 0, 0, 0, -24, 0, 16, 0, 0, 64, 28, -24, 0, 0, 0, 56, 0, 0, 0, 16, -96, 8, 0, 0, -18, 16, 0, 0, 0, -72, 16, -16, 0, 0, -48, 0, 80, 0, 0, 96, -80, 0, 0, 0, 0, -16, 28, 0, 0, 0, 0, 96, 0, 0, -56, -96, 0, 0, 0, 0, 2, 44, 0, 0, -40, 0, 22, 0, 0, 32, 40, 0, 0, 0, 24, -8, 32, 0, 0, 8, 0, 0, 0, 0, 116, 28, 0, 0, 0, 0, -16, -64, 0, 0, -66, 0, -48, 0, 0, -72, -2, -12, 0, 0, 0, 48, -6, 0, 0, 60, 18, -288, 0, 0, -10, 32, 0, 0, 0, -72, -24, -32, 0, 0, -36, 0, 30, 0, 0, 0, 32, 0, 0, 0, 0, -16, -42, 0, 0, 112, 0, 120, 0, 0, -26, 0, 54, 0, 0, 0, -44, 8, 0, 0, -124, 48, 4, 0, 0, 56, -32, 0, 0, 0, 0, -48, 50, 0, 0, 144, 0, 32, 0, 0, 80, -24, 0, 0, 0, 0, -6, 64, 0, 0, 30, 0, 8, 0, 0, -40, 24, 0, 0, 0, 0, 72, -26, 0, 0, -56, 12, -56, 0, 0, 56, 44, 0, 0, 0, 0, -60, -48, 0, 0, 36, 0, 80, 0, 0, 48, 64, 0, 0, 0, 0, 0, 60, 0, 0, -96, 0, 0, 0, 0, 26, 16, -108, 0, 0, 0, 40, 0, 0, 0, 36, 0, -46, 0, 0, -64, -30, 0, 0, 0, 42, 32, -18, 0, 0, -112, 0, -80, 0, 0, 16, -64, 0, 0, 0, 0, -48, -56, 0, 0, -60, 0, 52, 0, 0, -32, -48, -48, 0, 0, 0, 36, 96, 0, 0, 0, -24, -16, 0, 0, -98, -144, 0, 0, 0, 0, -16, -8, 0, 0, -24, 0, 68, 0, 0, 36, -20, 0, 0, 0, 0, 56, 24, 0, 0, 64, 0, 0, 0, 0, -16, -56, 0, 0, 0, 0, 14, 240, 0, 0, -8, 48, -2, 0, 0, 16, -48, 0, 0, 0, 12, 0, -42, 0, 0, -96, 0, 8, 0, 0, -18, -24, 0, 0, 0, 0, 24, 16, 0, 0, 40, 0, 30, 0, 0, 0, 128, -48, 0, 0, 0, 40, -14, 0, 0, 136, 0, -72, 0, 0, 48, 0, 0, 0, 0, 96, 96, 32, 0, 0, -16, 0, 12, 0, 0, -48, 80, 0, 0, 0, 0, 64, -12, 0, 0, -32, 0, 32, 0, 0, 50, 16, -12, 0, 0, 0, -16, -60, 0, 0, -42, -24, -256, 0, 0, -24, -54, 0, 0, 0, 108, -80, 8, 0, 0, 128, 0, 96, 0, 0, -58, -32, 0, 0, 0, 0, 2, 48, 0, 0, -160, 0, -82, 0, 0, -72, 18, 0, 0, 0, 0, 0, -72, 0, 0, -12, 24, -24, 0, 0, 10, -16, 0, 0, 0, -24, -42, 0, 0, 0, -32, 0, 2, 0, 0, -72, -16, 0, 0, 0, 0, -16, 192, 0, 0, -32, 0, -52, 0, 0, 48, -64, -66, 0, 0, 0, 96, 112, 0, 0, 172, 144, -18, 0, 0, -8, 16, 0, 0, 0, -48, -8, -42, 0, 0, 0, 0, 144, 0, 0, -8, -24, 0, 0, 0, 0, -96, 4, 0, 0, 96, 0, -104, 0, 0, -40, 18, 72, 0, 0, 0, 24, -24, 0, 0, -224, -42, 0, 0, 0, 2, -16, 0, 0, 0, 0, -96, -32, 0, 0, -2, 0, -40, 0, 0, 168, 32, 0, 0, 0, 0, 8, 148, 0, 0, 16, 0, 32, 0, 0, 48, -88, 18, 0, 0, 0, -30, 0, 0, 0, -126, 72, -32, 0, 0, 0, 24, 0, 0, 0, -90, -64, 164, 0, 0, 136, 0, -68, 0, 0, -64, 0, 0, 0, 0, 0, 16, 16, 0, 0, 102, 0, -126, 0, 0, 40, -8, 0, 0, 0, 0, 48, -70, 0, 0, -72, 0, 8, 0, 0, 80, -112, 0, 0, 0, -48, -6, 76, 0, 0, -96, 0, 72, 0, 0, 4, 64, 0, 0, 0, 0, -48, -72, 0, 0, -152, 0, 112, 0, 0, 22, -72, -180, 0, 0, 0, 72, 72, 0, 0, -48, 24, -88, 0, 0, -16, 52, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 2, 0], [1, -1, -1, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, 0, 0, 0], [0, 0, -3, 0], [0, 1, -4, -1], [-1, 0, 0, 0], [0, 0, 0, 0], [0, -1, 0, 1], [-8, 0, 8, 0], [0, 0, 0, 0], [4, 0, -4, 0], [0, -1, 0, 0], [0, 0, 0, -3], [2, 0, 3, 0], [2, 0, 0, -2], [0, 0, 0, 0], [0, -1, 0, 0], [0, 3, 0, -3], [0, 0, 0, 0], [0, -2, 3, 2], [-4, 0, 0, 0], [0, 0, 0, 0], [0, -4, 0, 4], [0, 0, 9, 0], [0, 0, 0, 0], [-7, 0, 0, 0], [0, 4, 0, -4], [0, 0, 0, 0], [0, 0, -4, 0], [8, 2, -8, 0], [6, 0, -6, 0], [0, 0, 0, -1], [0, 2, 0, 3], [0, 0, 0, 0], [0, 0, 0, 0], [-2, 0, 2, 0], [0, 0, 0, 0], [0, -1, 0, 0], [0, 0, -2, 0], [-3, 0, 0, 3], [12, 0, 0, 0], [0, -3, 0, 3], [0, 0, 0, 0], [-9, 0, 0, 0], [-8, 0, 0, 3], [0, 0, 0, 0], [0, -2, 0, 0], [0, 2, 0, -2], [0, 0, 0, 0], [-1, 1, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 9], [9, 0, -9, 0], [0, 0, 0, 0], [0, 0, 7, 0], [0, -7, 0, 0], [0, 6, 0, -6], [8, 0, 0, 0], [4, 0, 0, 1], [0, 0, 0, 0], [0, 5, 0, -5], [0, 0, 0, -2], [0, 0, 0, 0], [0, 8, 8, -8], [-1, 0, 1, 0], [0, 0, 0, 0], [0, -5, 0, 0], [4, 0, -4, 0], [0, 0, 0, 0], [-6, 0, 10, 0], [0, 0, 0, -2], [0, 0, 0, 0], [1, 0, -1, 0], [0, -4, -4, 4], [-9, 0, 9, 0], [0, -2, 0, 2], [0, 0, 0, -3], [0, 0, 0, 0], [0, -1, 4, 1], [0, 0, -4, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -11, 0], [-12, -3, 12, 0], [0, 0, -8, 0], [0, 6, 0, 0], [0, 0, 0, 0], [-12, 0, 0, 0], [5, -2, -2, -3], [0, 0, 0, 0], [0, -3, 0, 0], [0, -9, 0, 0], [0, 0, 3, 0], [-6, -4, 6, 0]], 'ap': [[0, 1, 0, 0], [0, 0, 0, 0], [1, -1, -1, 0], [0, 0, 0, 2], [-1, 0, 0, 0], [0, -1, 0, 1], [0, -1, 0, 0], [2, 0, 3, 0], [0, 3, 0, -3], [0, 0, 9, 0], [-7, 0, 0, 0], [0, 0, 0, -1], [-2, 0, 2, 0], [0, -1, 0, 0], [0, -3, 0, 3], [0, 2, 0, -2], [9, 0, -9, 0], [0, 0, 7, 0], [0, 5, 0, -5], [-1, 0, 1, 0], [0, -5, 0, 0], [1, 0, -1, 0], [0, 0, 0, -3], [0, 0, -11, 0], [0, -3, 0, 0], [0, 0, -15, 0], [0, 0, 0, 8], [0, 0, 0, 5], [15, 0, -15, 0], [0, 0, 0, -6], [0, 3, 0, -3], [-12, 0, 12, 0], [0, -6, 0, 6], [0, 0, 20, 0], [-1, 0, 1, 0], [9, 0, 0, 0], [0, 2, 0, 0], [0, 0, 0, 2], [0, 6, 0, -6], [0, 12, 0, 0], [-15, 0, 0, 0], [0, 0, 6, 0], [-3, 0, 0, 0], [0, -8, 0, 0], [0, 0, 0, 9], [0, 0, 13, 0], [-5, 0, 5, 0], [0, 1, 0, 0], [0, 0, 0, -7], [-17, 0, 0, 0], [0, 4, 0, 0], [19, 0, 0, 0], [0, 0, -1, 0], [0, 0, -13, 0], [0, 3, 0, -3], [0, 0, 0, 0], [3, 0, -3, 0], [-3, 0, 3, 0], [0, 0, 0, 14], [0, 0, -10, 0], [0, -7, 0, 0], [0, 0, 0, 2], [0, 8, 0, 0], [0, 0, 0, 0], [0, 15, 0, -15], [0, 1, 0, -1], [20, 0, 0, 0], [0, 17, 0, 0], [0, -6, 0, 0], [-14, 0, 0, 0], [0, 0, 0, -4], [-20, 0, 20, 0], [0, 8, 0, -8], [0, 0, 0, -6], [29, 0, 0, 0], [0, -3, 0, 0], [0, 0, -33, 0], [0, -4, 0, 0], [-3, 0, 3, 0], [0, 0, -5, 0], [-9, 0, 0, 0], [15, 0, -15, 0], [0, 0, -21, 0], [0, -2, 0, 2], [-13, 0, 13, 0], [0, 2, 0, -2], [-31, 0, 0, 0], [0, 0, 0, -17], [25, 0, -25, 0], [0, 0, 0, -2], [0, 0, 0, -5], [0, 0, 15, 0], [0, 0, 0, 19], [-13, 0, 13, 0], [28, 0, -28, 0], [0, -13, 0, 13], [0, 0, 18, 0], [15, 0, 0, 0], [0, 8, 0, -8], [0, 0, -23, 0], [0, -11, 0, 11], [0, -7, 0, 7], [0, 0, 0, -12], [-15, 0, 0, 0], [13, 0, 0, 0], [0, 0, 0, -3], [0, -12, 0, 0], [0, -16, 0, 16], [0, 0, -12, 0], [17, 0, 0, 0], [0, 0, 0, 7], [0, -12, 0, 0], [0, -9, 0, 9], [-4, 0, 0, 0], [0, 0, -1, 0], [-21, 0, 21, 0], [0, 23, 0, 0], [0, 0, 0, 3], [0, 0, 0, 5], [0, 0, 20, 0], [0, 0, 15, 0], [0, 0, 0, -10], [0, 0, 0, 0], [0, 0, 0, 15], [3, 0, 0, 0], [-6, 0, 6, 0], [0, 0, 25, 0], [-21, 0, 21, 0], [0, 4, 0, 0], [0, 0, 0, -3], [-29, 0, 29, 0], [0, -25, 0, 0], [0, 0, -41, 0], [0, 13, 0, 0], [-18, 0, 0, 0], [0, 0, 5, 0], [0, 17, 0, -17], [0, 0, 0, -11], [0, 0, 0, -12], [43, 0, 0, 0], [0, 0, -9, 0], [0, 0, -21, 0], [0, -15, 0, 15], [0, -3, 0, 3], [-2, 0, 0, 0], [48, 0, -48, 0], [0, 8, 0, 0], [0, -9, 0, 0], [0, 0, 1, 0], [0, 0, 0, 10], [0, -29, 0, 0], [37, 0, 0, 0], [0, -4, 0, 4], [0, 8, 0, -8], [0, 6, 0, 0], [41, 0, 0, 0], [-16, 0, 0, 0], [51, 0, -51, 0], [0, 28, 0, -28], [0, 0, -35, 0], [0, -21, 0, 0], [0, 12, 0, 0], [0, 11, 0, 0], [-36, 0, 36, 0], [0, 0, 0, 22], [0, -18, 0, 0], [-44, 0, 44, 0], [0, -13, 0, 13]], 'char_orbit_index': 9, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 549789368415, 'hecke_ring_character_values': [[77, [-1, 0, 0, 0]], [21, [0, 0, -1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 2, 1, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 2, 0, 0], [0, 0, 1, 0], [0, 0, 0, 2]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '95.2.i.a', 'level': 95, 'maxp': 997, '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': 380, 'analytic_conductor': 0.7585788192021636, 'char_conductor': 95, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 6, 'char_parity': 1, 'char_values': [95, 6, [77, 21], [3, 4]], 'conrey_index': 49, 'cusp_dim': 16, 'dim': 16, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 549789368415, 'hecke_orbit_dims': [4, 12], 'label': '95.2.i', 'level': 95, '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': True, 'level_primes': [5, 19], 'level_radical': 95, 'mf_dim': 24, 'mf_new_dim': 24, 'num_forms': 2, 'prim_orbit_index': 9, 'relative_dim': 8, 'sturm_bound': 20, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [16, 0, 0, 6, 0, -12, 0, 0, 2, -2, 0, 0, 0, 6, -4, -6, 0, 0, 2, -32, -20, 0, 0, 2, 0, -60, 0, 0, 6, 12, 32, 0, 0, 2, 16, 26, 0, 0, 4, 10, -16, 0, 0, 16, 48, 56, 0, 0, -40, -40, -40, 0, 0, -4, -20, 92, 0, 0, 38, 4, 16, 0, 0, 56, -24, -6, 0, 0, -36, 62, 0, 0, 0, -14, -56, -74, 0, 0, 26, -30, -32, 0, 0, -96, 10, 8, 0, 0, 14, -32, 8, 0, 0, -108, 62, 52, 0, 0, -24, 34, -44, 0, 0, -24, -26, 20, 0, 0, -20, 10, -16, 0, 0, 84, -28, -90, 0, 0, 34, 70, -136, 0, 0, 4, 48, 88, 0, 0, -8, 36, 40, 0, 0, 0, 42, 14, 0, 0, 46, 108, 184, 0, 0, -20, -60, -52, 0, 0, -10, -52, 16, 0, 0, 62, -26, 64, 0, 0, 64, -132, 50, 0, 0, 4, 14, 122, 0, 0, -34, 8, -58, 0, 0, -18, -28, -30, 0, 0, -84, -38, 26, 0, 0, -26, -48, -80, 0, 0, 100, -4, 12, 0, 0, 8, -22, -180, 0, 0, -28, -32, 64, 0, 0, -42, 48, -116, 0, 0, -70, -40, -70, 0, 0, -48, 62, -268, 0, 0, 18, -64, 52, 0, 0, 62, 58, 12, 0, 0, -24, 40, -26, 0, 0, 44, 88, 300, 0, 0, -16, -12, -62, 0, 0, 54, 58, 116, 0, 0, -48, 50, 72, 0, 0, 120, -108, 62, 0, 0, 40, 34, 168, 0, 0, 70, -108, -112, 0, 0, 28, -92, -58, 0, 0, 32, -12, 30, 0, 0, 98, -108, -116, 0, 0, -188, 62, -72, 0, 0, -58, 84, -142, 0, 0, 72, 14, -4, 0, 0, -24, 68, -6, 0, 0, 110, 104, -86, 0, 0, 122, 86, -112, 0, 0, -46, -64, 200, 0, 0, 30, -40, -10, 0, 0, 112, 56, 38, 0, 0, 32, 112, 164, 0, 0, 20, -152, -66, 0, 0, -50, -22, 52, 0, 0, 68, -44, 142, 0, 0, -40, -316, -4, 0, 0, -244, 10, 120, 0, 0, -94, 60, -26, 0, 0, -122, -30, -40, 0, 0, -268, -50, 6, 0, 0, -4, -100, -38, 0, 0, 248, 132, -120, 0, 0, -82, -14, -102, 0, 0, -88, 2, 16, 0, 0, -142, 14, -38, 0, 0, -8, 84, -32, 0, 0, -84, 100, -144, 0, 0, -82, 8, 72, 0, 0, -34, 58, 8, 0, 0, -128, 130, 44, 0, 0, 90, 152, 188, 0, 0, 44, 12, -74, 0, 0, 266, -54, 4, 0, 0, 8, -16, 134, 0, 0, 160, -52, 72, 0, 0, 92, 108, 48, 0, 0, 24, -168, -184, 0, 0, 80, -64, -14, 0, 0, 96, -38, 90, 0, 0, 124, -6, -14, 0, 0, -256, 126, 76, 0, 0, -42, 72, -92, 0, 0, -34, -8, 60, 0, 0, 12, 70, -94, 0, 0, 98, -68, -128, 0, 0, 110, 152, -72, 0, 0, -54, -140, -80, 0, 0, 134, 40, 126, 0, 0, -120, 38, -6, 0, 0, 56, 140, 228, 0, 0, 52, 128, -68, 0, 0, -88, -36, 8, 0, 0, -8, 26, -16, 0, 0, -116, -176, 48, 0, 0, -136, -66, 134, 0, 0, 6, -40, -12, 0, 0, -12, 18, -38, 0, 0, -140, -62, 54, 0, 0, -44, -88, -106, 0, 0, -4, -174, 344, 0, 0, -16, -20, -130, 0, 0, -8, 12, -132, 0, 0, -122, 14, -140, 0, 0, -164, -104, -60, 0, 0, -92, -10, -388, 0, 0, 106, -36, 68, 0, 0, -94, -6, 76, 0, 0, -36, 54, -28, 0, 0, -136, 180, 216, 0, 0, 220, -340, -84, 0, 0, -26, -8, 400, 0, 0, 46, 86, -14, 0, 0, 224, 16, -78, 0, 0, -208, 80, 28, 0, 0, -116, -152, -66, 0, 0, 14, 46, -122, 0, 0, 244, 128, 36, 0, 0, 168, 34, -18, 0, 0, 164, 182, 24, 0, 0, 10, 92, -52, 0, 0, 176, -84, -16, 0, 0, 144, -78, 32, 0, 0, 296, 108, -108, 0, 0, 2, -18, -332, 0, 0, -128, 84, 408, 0, 0, -70, -20, -22, 0, 0, 80, 54, -98, 0, 0, 118, 20, 180, 0, 0, -72, -56, -114, 0, 0, 88, -44, -100, 0, 0, -62, -54, 76, 0, 0, -28, -184, 8, 0, 0, 460, -6, 52, 0, 0, 56, 84, -68, 0, 0, 18, -80, 128, 0, 0, -156, -86, -94, 0, 0, -138, 64, 196, 0, 0, 88, -8, 36, 0, 0, 20, -76, 0, 0, 0, -148, 94, -44, 0, 0, -62, -112, -18, 0, 0, -278, -224, 10, 0, 0, 8, 46, -196, 0, 0, 128, 32, 256, 0, 0, 118, 122, 2, 0, 0, -260, -84, -50, 0, 0, 60, 60, -156, 0, 0, -64, 116, -148, 0, 0, -50, 6, 52, 0, 0, -46, 52, -22, 0, 0, 36, 120, -144, 0, 0, -196, 140, -200, 0, 0, -28, -232, -162, 0, 0, 14, -8, -110, 0, 0, -136, 78, -32, 0, 0, 70, 70, -22, 0, 0, -540, 48, -12, 0, 0, 64, 76, -26, 0, 0, 168, -60, 184, 0, 0, 14, 150, 44, 0, 0, 212, -128, 58, 0, 0, 150, -36, 460, 0, 0, -44, -140, -252, 0, 0, 8, -124, 100, 0, 0, 248, 72, 156, 0, 0, -180, -100, -148, 0, 0, -156, -116, 104, 0, 0, -86, -88, 184, 0, 0, 242, -4, 80, 0, 0, 136, -48, 178, 0, 0, -260, -60, -36, 0, 0, -32, 112, 104, 0, 0, -106, -38, 14, 0, 0, 4, -22, -94, 0, 0, 0, -142, -6, 0, 0, 232, 0, 152, 0, 0, -138, -106, 116, 0, 0, -218, 38, 40, 0, 0, 96, -30, 6, 0, 0, 116, -20, -156, 0, 0, -190, -86, 180, 0, 0, 26, 364, -280, 0, 0, -188, 80, 138, 0, 0, 44, 54, -52, 0, 0, 158, 188, -428, 0, 0, 84, 36], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 82381
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '95.2.i.a', 'target_level': 95, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 82382
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '95.2.i.a', 'target_level': 95, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 82383
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '95.2.i.a', 'target_level': 95, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 82384
    {'conductor': 95, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '95.2.i.a', 'target_level': 95, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 82385
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '475.2.e.a', 'target_level': 475, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 82386
    {'conductor': 95, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '475.2.e.a', 'target_level': 475, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 82387
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '475.2.e.c', 'target_level': 475, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 82388
    {'conductor': 95, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '475.2.e.c', 'target_level': 475, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 82389
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 31, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '855.2.be.a', 'target_level': 855, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 82390
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 31, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '855.2.be.a', 'target_level': 855, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 82391
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 31, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '855.2.be.a', 'target_level': 855, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 82392
    {'conductor': 285, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 31, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '855.2.be.a', 'target_level': 855, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '285.n', 'twisting_char_orbit': 14, 'weight': 2}
  • id: 82393
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1805.2.b.a', 'target_level': 1805, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '19.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 82394
    {'conductor': 95, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1805.2.b.a', 'target_level': 1805, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 82395
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1805.2.b.b', 'target_level': 1805, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 82396
    {'conductor': 95, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1805.2.b.b', 'target_level': 1805, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 82397
    {'conductor': 95, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '9025.2.a.a', 'target_level': 9025, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 82398
    {'conductor': 95, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '9025.2.a.b', 'target_level': 9025, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 82399
    {'conductor': 95, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '9025.2.a.i', 'target_level': 9025, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 82400
    {'conductor': 95, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.2.i.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '9025.2.a.j', 'target_level': 9025, 'twist_class_label': '95.2.i.a', 'twist_class_level': 95, 'twisting_char_label': '95.l', 'twisting_char_orbit': 12, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 282450
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 2}
  • id: 282451
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 549789368415, 'p': 3}
  • id: 282452
    {'charpoly_factorization': [[[25, -10, -1, -2, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 5}
  • id: 282453
    {'charpoly_factorization': [[[16, 0, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 7}
  • id: 282454
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 549789368415, 'p': 11}
  • id: 282455
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 13}
  • id: 282456
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 17}
  • id: 282457
    {'charpoly_factorization': [[[19, -7, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 19}
  • id: 282458
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 23}
  • id: 282459
    {'charpoly_factorization': [[[81, -9, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 29}
  • id: 282460
    {'charpoly_factorization': [[[7, 1], 4]], 'hecke_orbit_code': 549789368415, 'p': 31}
  • id: 282461
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 37}
  • id: 282462
    {'charpoly_factorization': [[[4, 2, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 41}
  • id: 282463
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 43}
  • id: 282464
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 47}
  • id: 282465
    {'charpoly_factorization': [[[256, 0, -16, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 53}
  • id: 282466
    {'charpoly_factorization': [[[81, -9, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 59}
  • id: 282467
    {'charpoly_factorization': [[[49, -7, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 61}
  • id: 282468
    {'charpoly_factorization': [[[10000, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 67}
  • id: 282469
    {'charpoly_factorization': [[[1, 1, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 71}
  • id: 282470
    {'charpoly_factorization': [[[10000, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 549789368415, 'p': 73}
  • id: 282471
    {'charpoly_factorization': [[[1, -1, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 79}
  • id: 282472
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 83}
  • id: 282473
    {'charpoly_factorization': [[[121, 11, 1], 2]], 'hecke_orbit_code': 549789368415, 'p': 89}
  • id: 282474
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 549789368415, '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': 9, 'hecke_orbit': 1, 'label': '95.2.i.a', 'level': 95, 'portrait': 'data:image/png;base64,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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: 9770268
    {'hecke_orbit_code': 549789368415, 'n': 1, 'trace_an': 4}
  • id: 9770269
    {'hecke_orbit_code': 549789368415, 'n': 2, 'trace_an': 0}
  • id: 9770270
    {'hecke_orbit_code': 549789368415, 'n': 3, 'trace_an': 0}
  • id: 9770271
    {'hecke_orbit_code': 549789368415, 'n': 4, 'trace_an': 4}
  • id: 9770272
    {'hecke_orbit_code': 549789368415, 'n': 5, 'trace_an': 2}
  • id: 9770273
    {'hecke_orbit_code': 549789368415, 'n': 6, 'trace_an': 0}
  • id: 9770274
    {'hecke_orbit_code': 549789368415, 'n': 7, 'trace_an': 0}
  • id: 9770275
    {'hecke_orbit_code': 549789368415, 'n': 8, 'trace_an': 0}
  • id: 9770276
    {'hecke_orbit_code': 549789368415, 'n': 9, 'trace_an': -6}
  • id: 9770277
    {'hecke_orbit_code': 549789368415, 'n': 10, 'trace_an': -8}
  • id: 9770278
    {'hecke_orbit_code': 549789368415, 'n': 11, 'trace_an': -4}
  • id: 9770279
    {'hecke_orbit_code': 549789368415, 'n': 12, 'trace_an': 0}
  • id: 9770280
    {'hecke_orbit_code': 549789368415, 'n': 13, 'trace_an': 0}
  • id: 9770281
    {'hecke_orbit_code': 549789368415, 'n': 14, 'trace_an': -16}
  • id: 9770282
    {'hecke_orbit_code': 549789368415, 'n': 15, 'trace_an': 0}
  • id: 9770283
    {'hecke_orbit_code': 549789368415, 'n': 16, 'trace_an': 8}
  • id: 9770284
    {'hecke_orbit_code': 549789368415, 'n': 17, 'trace_an': 0}
  • id: 9770285
    {'hecke_orbit_code': 549789368415, 'n': 18, 'trace_an': 0}
  • id: 9770286
    {'hecke_orbit_code': 549789368415, 'n': 19, 'trace_an': 14}
  • id: 9770287
    {'hecke_orbit_code': 549789368415, 'n': 20, 'trace_an': 8}
  • id: 9770288
    {'hecke_orbit_code': 549789368415, 'n': 21, 'trace_an': 0}
  • id: 9770289
    {'hecke_orbit_code': 549789368415, 'n': 22, 'trace_an': 0}
  • id: 9770290
    {'hecke_orbit_code': 549789368415, 'n': 23, 'trace_an': 0}
  • id: 9770291
    {'hecke_orbit_code': 549789368415, 'n': 24, 'trace_an': 0}
  • id: 9770292
    {'hecke_orbit_code': 549789368415, 'n': 25, 'trace_an': 6}
  • id: 9770293
    {'hecke_orbit_code': 549789368415, 'n': 26, 'trace_an': -16}
  • id: 9770294
    {'hecke_orbit_code': 549789368415, 'n': 27, 'trace_an': 0}
  • id: 9770295
    {'hecke_orbit_code': 549789368415, 'n': 28, 'trace_an': 0}
  • id: 9770296
    {'hecke_orbit_code': 549789368415, 'n': 29, 'trace_an': 18}
  • id: 9770297
    {'hecke_orbit_code': 549789368415, 'n': 30, 'trace_an': 0}
  • id: 9770298
    {'hecke_orbit_code': 549789368415, 'n': 31, 'trace_an': -28}
  • id: 9770299
    {'hecke_orbit_code': 549789368415, 'n': 32, 'trace_an': 0}
  • id: 9770300
    {'hecke_orbit_code': 549789368415, 'n': 33, 'trace_an': 0}
  • id: 9770301
    {'hecke_orbit_code': 549789368415, 'n': 34, 'trace_an': -8}
  • id: 9770302
    {'hecke_orbit_code': 549789368415, 'n': 35, 'trace_an': 16}
  • id: 9770303
    {'hecke_orbit_code': 549789368415, 'n': 36, 'trace_an': 12}
  • id: 9770304
    {'hecke_orbit_code': 549789368415, 'n': 37, 'trace_an': 0}
  • id: 9770305
    {'hecke_orbit_code': 549789368415, 'n': 38, 'trace_an': 0}
  • id: 9770306
    {'hecke_orbit_code': 549789368415, 'n': 39, 'trace_an': 0}
  • id: 9770307
    {'hecke_orbit_code': 549789368415, 'n': 40, 'trace_an': 0}
  • id: 9770308
    {'hecke_orbit_code': 549789368415, 'n': 41, 'trace_an': -4}
  • id: 9770309
    {'hecke_orbit_code': 549789368415, 'n': 42, 'trace_an': 0}
  • id: 9770310
    {'hecke_orbit_code': 549789368415, 'n': 43, 'trace_an': 0}
  • id: 9770311
    {'hecke_orbit_code': 549789368415, 'n': 44, 'trace_an': -4}
  • id: 9770312
    {'hecke_orbit_code': 549789368415, 'n': 45, 'trace_an': -12}
  • id: 9770313
    {'hecke_orbit_code': 549789368415, 'n': 46, 'trace_an': 48}
  • id: 9770314
    {'hecke_orbit_code': 549789368415, 'n': 47, 'trace_an': 0}
  • id: 9770315
    {'hecke_orbit_code': 549789368415, 'n': 48, 'trace_an': 0}
  • id: 9770316
    {'hecke_orbit_code': 549789368415, 'n': 49, 'trace_an': -36}
  • id: 9770317
    {'hecke_orbit_code': 549789368415, 'n': 50, 'trace_an': -32}
  • id: 9770318
    {'hecke_orbit_code': 549789368415, 'n': 51, 'trace_an': 0}
  • id: 9770319
    {'hecke_orbit_code': 549789368415, 'n': 52, 'trace_an': 0}
  • id: 9770320
    {'hecke_orbit_code': 549789368415, 'n': 53, 'trace_an': 0}
  • id: 9770321
    {'hecke_orbit_code': 549789368415, 'n': 54, 'trace_an': 0}
  • id: 9770322
    {'hecke_orbit_code': 549789368415, 'n': 55, 'trace_an': -2}
  • id: 9770323
    {'hecke_orbit_code': 549789368415, 'n': 56, 'trace_an': 0}
  • id: 9770324
    {'hecke_orbit_code': 549789368415, 'n': 57, 'trace_an': 0}
  • id: 9770325
    {'hecke_orbit_code': 549789368415, 'n': 58, 'trace_an': 0}
  • id: 9770326
    {'hecke_orbit_code': 549789368415, 'n': 59, 'trace_an': 18}
  • id: 9770327
    {'hecke_orbit_code': 549789368415, 'n': 60, 'trace_an': 0}
  • id: 9770328
    {'hecke_orbit_code': 549789368415, 'n': 61, 'trace_an': 14}
  • id: 9770329
    {'hecke_orbit_code': 549789368415, 'n': 62, 'trace_an': 0}
  • id: 9770330
    {'hecke_orbit_code': 549789368415, 'n': 63, 'trace_an': 0}
  • id: 9770331
    {'hecke_orbit_code': 549789368415, 'n': 64, 'trace_an': 32}
  • id: 9770332
    {'hecke_orbit_code': 549789368415, 'n': 65, 'trace_an': 16}
  • id: 9770333
    {'hecke_orbit_code': 549789368415, 'n': 66, 'trace_an': 0}
  • id: 9770334
    {'hecke_orbit_code': 549789368415, 'n': 67, 'trace_an': 0}
  • id: 9770335
    {'hecke_orbit_code': 549789368415, 'n': 68, 'trace_an': 0}
  • id: 9770336
    {'hecke_orbit_code': 549789368415, 'n': 69, 'trace_an': 0}
  • id: 9770337
    {'hecke_orbit_code': 549789368415, 'n': 70, 'trace_an': 16}
  • id: 9770338
    {'hecke_orbit_code': 549789368415, 'n': 71, 'trace_an': -2}
  • id: 9770339
    {'hecke_orbit_code': 549789368415, 'n': 72, 'trace_an': 0}
  • id: 9770340
    {'hecke_orbit_code': 549789368415, 'n': 73, 'trace_an': 0}
  • id: 9770341
    {'hecke_orbit_code': 549789368415, 'n': 74, 'trace_an': 8}
  • id: 9770342
    {'hecke_orbit_code': 549789368415, 'n': 75, 'trace_an': 0}
  • id: 9770343
    {'hecke_orbit_code': 549789368415, 'n': 76, 'trace_an': -4}
  • id: 9770344
    {'hecke_orbit_code': 549789368415, 'n': 77, 'trace_an': 0}
  • id: 9770345
    {'hecke_orbit_code': 549789368415, 'n': 78, 'trace_an': 0}
  • id: 9770346
    {'hecke_orbit_code': 549789368415, 'n': 79, 'trace_an': 2}
  • id: 9770347
    {'hecke_orbit_code': 549789368415, 'n': 80, 'trace_an': -8}
  • id: 9770348
    {'hecke_orbit_code': 549789368415, 'n': 81, 'trace_an': -18}
  • id: 9770349
    {'hecke_orbit_code': 549789368415, 'n': 82, 'trace_an': 0}
  • id: 9770350
    {'hecke_orbit_code': 549789368415, 'n': 83, 'trace_an': 0}
  • id: 9770351
    {'hecke_orbit_code': 549789368415, 'n': 84, 'trace_an': 0}
  • id: 9770352
    {'hecke_orbit_code': 549789368415, 'n': 85, 'trace_an': 8}
  • id: 9770353
    {'hecke_orbit_code': 549789368415, 'n': 86, 'trace_an': -8}
  • id: 9770354
    {'hecke_orbit_code': 549789368415, 'n': 87, 'trace_an': 0}
  • id: 9770355
    {'hecke_orbit_code': 549789368415, 'n': 88, 'trace_an': 0}
  • id: 9770356
    {'hecke_orbit_code': 549789368415, 'n': 89, 'trace_an': -22}
  • id: 9770357
    {'hecke_orbit_code': 549789368415, 'n': 90, 'trace_an': -24}
  • id: 9770358
    {'hecke_orbit_code': 549789368415, 'n': 91, 'trace_an': -16}
  • id: 9770359
    {'hecke_orbit_code': 549789368415, 'n': 92, 'trace_an': 0}
  • id: 9770360
    {'hecke_orbit_code': 549789368415, 'n': 93, 'trace_an': 0}
  • id: 9770361
    {'hecke_orbit_code': 549789368415, 'n': 94, 'trace_an': -48}
  • id: 9770362
    {'hecke_orbit_code': 549789368415, 'n': 95, 'trace_an': 16}
  • id: 9770363
    {'hecke_orbit_code': 549789368415, 'n': 96, 'trace_an': 0}
  • id: 9770364
    {'hecke_orbit_code': 549789368415, 'n': 97, 'trace_an': 0}
  • id: 9770365
    {'hecke_orbit_code': 549789368415, 'n': 98, 'trace_an': 0}
  • id: 9770366
    {'hecke_orbit_code': 549789368415, 'n': 99, 'trace_an': 6}
  • id: 9770367
    {'hecke_orbit_code': 549789368415, 'n': 100, 'trace_an': -12}