Newform data - 888.2.r.a

Formats: - HTML - YAML - JSON - 2026-07-19T02:46:29.365457

• 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': 3552, 'analytic_conductor': 7.0907156994896985, 'analytic_rank': 1, 'analytic_rank_proved': True, 'char_conductor': 296, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 4, 'char_parity': 1, 'char_values': [888, 4, [223, 445, 593, 409], [2, 2, 4, 3]], 'cm_discs': [], 'conrey_index': 43, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [8, 4, 1]], [11, [16, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1168264659832, 'hecke_ring_generator_nbound': 2, '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, 296, 10, 1, 4, 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': '888.2.r.a', 'level': 888, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '888.2.r.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 10, 'qexp_display': 'q+(-i-1)q^{2}-i q^{3}+2 i q^{4}+(-2 i-2)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '888.2.r', 'trace_display': [-2, 0, -4, 0], 'trace_hash': 1173043671984102233, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.900', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.227', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '93.283', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.271', 'prec': 17}, 'traces': [2, -2, 0, 0, -4, -2, 0, 4, -2, 0, 0, 4, -2, 4, -4, -8, -4, 2, 2, 8, 4, -8, -4, -4, 0, 0, 0, -8, -4, 8, -14, 8, -8, 8, 8, 0, -2, -4, -2, -16, 0, -4, 6, 16, 4, 0, 0, 0, 6, 6, 4, 4, 0, 2, -16, 8, -2, 8, -16, -8, -2, 28, 0, 0, 0, 8, 0, -8, -4, -16, 0, -4, 0, 14, 6, 4, 16, 4, -6, 16, 2, 4, 0, 0, 16, -12, 4, -16, 0, 0, 4, 8, 14, 8, -8, 8, 6, -6, 0, -12, 20, 0, -18, -8, -8, 4, -40, -4, -10, 32, 12, 0, 8, 0, 0, -8, 2, 32, -8, 0, -10, 4, 4, -28, -8, -4, 0, -16, -6, 8, 0, 0, 4, 4, 4, 0, 12, 8, 0, 16, 8, 0, -8, 8, 16, -12, 0, -24, 0, -6, 4, 0, 4, -16, 56, -4, 0, 0, 4, 0, 8, -2, -14, -8, 16, 0, -32, 8, 0, -16, -2, 12, 4, 0, -12, 0, 16, 0, -28, -8, 0, -8, 2, -16, 28, 0, 16, -16, -4, 8, -24, -16, -26, -12, 8, 0, 0, 8, -6, 12, 4, -20, -8, -8, 8, 36, 4, 8, -8, 0, -44, -8, 0, 40, -24, 4, -28, 0, -12, -32, 8, -10, 0, -16, 0, 0, 4, 4, 0, 16, 0, 0, 0, 0, 16, -32, -6, 0, -20, 16, -2, 10, 0, -4, -12, -4, -4, 0, 0, 16, 20, 8, -16, 32, 0, 32, -24, 0, -24, -16, 4, 0, -24, -16, 8, 0, 0, -8, 0, -8, 0, 16, -4, -12, 24, -8, 38, 28, 14, 0, 0, -8, -14, 0, 0, 16, -8, -8, 0, -16, -6, 24, 0, -6, 64, 20, 8, -44, 0, 0, 12, -4, 0, -8, 8, -8, 0, 0, 18, -56, 24, 0, -18, 20, -8, 12, -12, -4, 16, -32, 0, -16, 0, 0, 6, 0, -10, 8, -16, 0, 38, 0, 2, 0, 8, -16, 0, -22, 8, 0, 56, 4, 0, 0, 16, -4, -20, -8, 0, 12, 2, 32, 32, 0, 0, 0, -8, 0, 0, 16, 0, -44, 0, 8, -24, 0, 0, 16, 0, -48, -8, -28, 56, 0, 8, 16, 8, 4, 56, 0, 32, 0, -20, 16, -32, 52, -6, 12, -32, -8, 16, 12, 0, 36, 0, -16, -16, 12, 4, 0, -36, -4, 28, 0, -4, 0, 48, 16, 18, -16, 0, -36, -32, 0, 0, 0, 28, 0, 72, 16, 42, 44, 0, 8, -12, 0, -4, 0, 8, 24, 8, 0, 32, 0, 0, 20, -8, 12, -42, 0, -6, -8, 0, -4, 0, -32, -44, 32, -56, -6, 16, -16, 0, -8, -16, -8, 30, -56, -4, -32, 32, -16, -10, 16, 0, -12, -56, -4, -8, -32, 20, 0, -24, 12, 6, 16, 0, 0, 40, -32, 14, 4, -8, 0, -24, -2, 42, 0, -14, 0, -56, 0, 0, 4, 16, 56, 0, 0, -54, -16, -32, 0, 28, -8, -40, 32, -22, -64, -76, -16, 24, -32, 2, 48, 72, 12, 32, 20, 0, 16, 0, -8, -42, 0, 0, 24, 0, 32, 0, -16, 16, -8, 4, 0, 80, 8, -28, -20, 0, 8, -42, -44, -44, -32, 0, 0, -18, 0, 2, -24, 0, 0, 12, -76, -20, -56, 16, -28, -12, -32, 16, 0, 0, 0, 0, 0, 0, 0, -32, 8, 8, -16, -24, 8, 12, 0, 26, 18, 26, 0, 0, 0, 16, -24, 0, 4, -28, 12, 0, -64, 36, 8, -12, -8, 0, 88, 6, 8, 0, 12, 56, 0, 0, 0, 20, -20, 18, 16, -8, -8, 8, 8, -52, 8, -8, 32, 0, 0, 0, 0, 4, -48, 0, 8, 62, 36, -8, -40, -20, 16, 38, -24, 0, 12, 64, 0, -6, 0, 0, 64, 20, 40, -6, 16, 0, 8, 16, 4, 64, -12, -28, 28, -48, 20, 0, 0, 0, 16, 0, -32, 42, -76, 0, 0, 0, -14, 16, 64, -32, -16, 8, 16, -40, 64, -6, 44, 36, -16, 12, 32, -4, 0, -40, -4, -24, 40, -56, -24, 4, -16, 0, 0, -16, 0, 56, 16, -8, 28, -12, 0, 40, -4, 10, -64, -16, 0, 0, -32, -46, 0, 6, 0, 56, 16, 32, 56, -20, -48, 0, -16, -36, 34, 2, 88, -12, 10, 62, 0, -2, 48, 0, -4, 4, 64, -12, 0, 16, -4, 0, 40, 0, 8, 0, 56, -88, -56, 0, -32, 0, 0, -48, 0, 20, -8, -8, 0, -42, -56, 16, -16, 0, -32, 20, 48, -16, 0, 32, 0, 46, 0, 24, -52, 0, 12, -42, 0, -4, 0, 4, 0, 0, -16, -4, -24, 40, 0, -76, -72, 0, 24, -16, 16, 4, 16, -8, -12, -60, -8, -16, -24, 0, 0, -48, 0, -32, -28, -20, 40, 20, 0, -56, 16, -44, -40, 0, -16, 0, 0, -4, 16, 0, -12, 0, 0, 0, 0, 56, -8, -66, 0, -38, -16, -12, -28, 0, 16, -14, -72, -72, -32, 0, -84, 0, 0, -44, -8, 0, 0, -14, 0, 28, 0, -6, 0, 8, -80, 80, 0, 42, 0, 0, -16, 0, -8, -8, -32, 18, 56, -24, -16, 4, -40, -6, 8, -16, 0, 0, 84, 4, 64, 0, 6, -38, 0, 0, 24, -72, 28, -64, 0, 0, 64, 8, 44, 0, -32, 8, 112, 0, 12, -8, -16, 12, 32, -88, -4, 30, 8, -20, 16, 68, 8, 0, -60, 0, 112, 0, 0, -46, 32, 8, 0, 0, 32, -36, 0, 18, -32, 0, -56, 6, 24, -24, 112, 0, 8, -44, 8, 18, 32, 0, -20, 8, 64, 8, 0, 40, -12, -12, 0, 0, -32, 0, -4, 0, 40, 16, 0, 0, 32, 0, -24, 40, -4, 104, 0, 34, -20, 8, 24, -96, 4, -56, 0, -6, 8, -20, 28, 0, 24, 10, 56, 96, 8, 72, -16, 0, 0, -24, -32, 22, -112, -38, 0, 24, 0, 22, 0, -12, 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], [-1, -1], [0, -1], [0, 2], [-2, -2], [-1, 1], [0, 2], [2, -2], [-1, 0], [0, 4], [0, -4], [2, 0], [-1, -1], [2, -2], [-2, 2], [-4, 0], [-2, 2], [1, 1], [1, -1], [4, -4], [2, 0], [-4, 4], [-2, -2], [-2, -2], [0, 3], [0, 2], [0, 1], [-4, 0], [-2, 2], [4, 0], [-7, 7], [4, 4], [-4, 0], [4, 0], [4, -4], [0, -2], [-1, 6], [-2, 0], [-1, 1], [-8, 0], [0, 2], [-2, -2], [3, -3], [8, 0], [2, 2], [0, 4], [0, 4], [0, 4], [3, 0], [3, -3], [2, 2], [2, -2], [0, 2], [1, -1], [-8, 8], [4, 4], [-1, -1], [4, 0], [-8, 8], [-4, -4], [-1, 1], [14, 0], [0, -2], [0, -8], [0, 4], [4, 4], [0, 2], [-4, -4], [-2, 2], [-8, 0], [0, 0], [-2, 2], [0, -6], [7, -5], [3, 0], [2, 2], [8, 0], [2, 0], [-3, -3], [8, 8], [1, 0], [2, -2], [0, 0], [0, 4], [8, 0], [-6, 0], [2, 2], [-8, -8], [0, 0], [0, -4], [2, -2], [4, -4], [7, 7], [4, -4], [-4, 0], [4, -4], [3, -3], [-3, -3], [0, 4], [-6, 0]], 'ap': [[-1, -1], [0, -1], [-2, -2], [0, 2], [0, -4], [-1, -1], [-2, 2], [1, -1], [-2, -2], [-2, 2], [-7, 7], [-1, 6], [0, 2], [3, -3], [0, 4], [0, 2], [-8, 8], [-1, 1], [0, 2], [0, 0], [0, -6], [-3, -3], [0, 0], [0, 0], [3, -3], [10, 0], [-9, 9], [-20, 0], [-5, -5], [4, 4], [0, 16], [0, 0], [6, 0], [0, 14], [0, -22], [2, 0], [0, 10], [-7, -7], [-16, -16], [2, 0], [-14, -14], [0, -22], [-12, -12], [-13, 13], [0, 18], [-3, 3], [-22, 0], [0, -16], [2, -2], [0, -28], [0, -6], [-10, -10], [-1, 1], [10, 10], [-12, 12], [-12, 0], [0, -10], [0, -22], [19, -19], [0, 0], [-7, -7], [0, 2], [0, 4], [12, -12], [-9, 9], [-6, 0], [19, -19], [0, 32], [-10, -10], [0, 14], [16, 16], [0, -24], [0, 32], [28, 0], [28, 0], [-10, -10], [-16, -16], [-8, 0], [-18, -18], [9, 9], [36, 0], [21, -21], [4, -4], [16, 0], [-21, 21], [0, 12], [-28, 28], [15, -15], [16, 16], [-5, -5], [-28, 28], [20, 20], [21, 21], [-28, 0], [-27, -27], [14, 14], [-38, 0], [0, -30], [-21, 21], [-21, -21], [-9, -9], [8, -8], [0, 0], [-16, -16], [4, 0], [13, -13], [-14, -14], [-6, 0], [0, 36], [28, 0], [9, -9], [-26, 0], [0, -18], [0, 12], [19, -19], [10, 0], [-3, -3], [8, -8], [-24, 24], [0, 28], [21, -21], [-20, 0], [18, 0], [-20, 20], [0, 22], [20, 20], [-23, -23], [0, -12], [31, -31], [2, 0], [0, -28], [0, 0], [-24, 0], [-21, -21], [0, 30], [23, 23], [0, 18], [-38, 0], [-30, 30], [10, 10], [-28, 0], [0, -30], [0, 24], [28, -28], [-33, 33], [-36, 0], [-3, 3], [40, -40], [21, -21], [0, -48], [0, 6], [0, 22], [-19, -19], [-36, 0], [15, -15], [34, 34], [-23, 23], [0, 6], [-22, 0], [0, 18], [20, -20], [0, 2], [17, 17], [-48, 0], [-10, -10], [48, 0], [11, -11], [11, 11]], 'char_orbit_index': 18, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 1168264659832, 'hecke_ring_character_values': [[223, [-1, 0]], [445, [-1, 0]], [593, [1, 0]], [409, [0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '888.2.r.a', 'level': 888, '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': 3552, 'analytic_conductor': 7.0907156994896985, 'char_conductor': 296, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 4, 'char_parity': 1, 'char_values': [888, 4, [223, 445, 593, 409], [2, 2, 4, 3]], 'conrey_index': 43, 'cusp_dim': 296, 'dim': 152, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 1168264659832, 'hecke_orbit_dims': [2, 2, 2, 2, 72, 72], 'label': '888.2.r', 'level': 888, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 312, 'mf_new_dim': 152, 'num_forms': 6, 'prim_orbit_index': 10, 'relative_dim': 76, 'sturm_bound': 304, 'trace_bound': 10, 'trace_display': [4, 0, 0, 0], 'traces': [152, 4, 0, 0, 0, 0, 0, 4, -152, 0, 0, 0, 0, 4, 0, 8, 8, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 96, 0, 0, 0, -20, 16, 40, 0, -16, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 44, 0, 0, 0, 0, 0, -24, 0, -36, 0, 72, 0, -4, 0, -20, 0, -104, 0, 0, 0, -40, 152, 64, 0, 16, 0, 48, 0, 64, -40, 0, 0, -24, 0, 48, 0, 40, 8, -140, 0, 64, 0, 0, 0, 0, 0, -40, 32, 0, 0, 0, 0, 16, -104, 0, 0, 92, 0, 80, 0, 112, -280, 0, 0, 48, 0, -4, 0, 88, 16, 24, 80, 0, 0, 20, 0, 0, -128, 0, 0, -4, 0, -200, 0, -8, 16, 36, 0, -40, 0, -60, 0, 0, -8, 16, 0, -24, 0, -192, 0, -32, 96, 4, 176, -232, 0, 96, 0, -64, 0, -44, 0, 24, 0, -48, 0, 0, 0, 0, -112, 0, 0, -56, 0, 0, -24, 64, -112, 0, 0, 112, 0, 0, 24, -120, -160, 0, 0, 8, 0, -12, 0, -8, 16, 16, 0, 0, 0, -24, -32, 0, 64, 0, 0, 0, 0, 0, 32, 104, 0, 136, 0, 8, 0, 188, 0, 0, 192, 8, 0, -276, 0, -32, 0, 0, 96, 12, 0, -240, 0, -156, 8, -60, 0, -176, 0, 0, 0, -72, 0, 0, -208, 0, 0, -64, 0, -40, 104, 0, -192, 424, 0, 0, 0, -32, -112, -128, -96, -96, 0, 0, 0, 84, 32, -48, 128, 12, 0, 68, 0, 0, 200, -72, -96, 0, 0, 0, 0, -24, 0, 188, 96, -24, 0, 80, 0, -152, 0, 216, 0, 0, 0, 232, 0, 216, 16, -16, 0, 144, 0, -160, 0, -40, -56, 164, 0, 208, 0, -104, 0, -116, 0, 128, 0, 0, 0, 0, 0, -24, 0, -40, 208, 0, 0, 200, 0, 0, 0, -228, -80, 96, 0, -96, 0, 0, 0, -48, -144, 56, 0, -220, 0, -40, -40, 0, 176, 32, 0, 0, 0, 0, 0, 36, 0, -344, 0, 112, 0, -40, 0, 112, 224, -72, 0, 0, 0, -160, 208, 20, 0, -344, 0, -24, 0, 28, -64, 312, -16, 304, 0, 144, 0, -124, 0, -72, 0, -40, 0, 0, 0, 0, 24, 52, 128, -296, 0, 0, 0, 112, -56, 0, 0, 224, 0, 16, 0, -232, 64, 0, 0, 84, 0, 48, 0, 8, 104, -16, 320, 0, 0, 88, 0, 0, 0, 0, 0, 120, 0, -140, 0, 200, 120, -216, 0, -24, 0, -256, 0, 0, 200, 0, -192, -368, 0, -8, 0, 40, -72, 56, 0, -304, 0, 256, 0, -188, 0, 184, -320, 0, 0, 128, 0, 0, 192, 0, 16, 36, 0, -152, 0, 0, 152, -592, 32, 0, 0, 0, 0, -88, -48, 224, 0, 0, 0, 72, 0, -192, 0, 32, 32, 324, 0, 0, 0, 0, 32, 0, 0, 0, 0, 36, 0, 112, -16, 8, -448, 160, 0, 236, 0, 384, 0, 0, -144, 364, 0, -328, 0, -40, 0, -24, 0, -184, 0, 48, 0, 136, 32, -432, 0, -44, 0, 60, 0, 352, 0, 0, 112, 0, 0, 24, 0, 48, 0, 0, 240, 240, 0, 0, 0, -236, 0, -136, -112, -176, 0, 0, 0, -256, -104, -80, 416, -312, 0, 208, 0, 0, 24, -144, 192, 0, 0, 0, 0, 104, 0, 240, 352, 128, 0, 84, 0, -112, 16, 24, 0, 0, 0, 360, 0, 160, -48, 560, 0, -136, 0, -56, 0, 600, -32, -448, 144, 36, 0, 56, 0, -104, 0, 192, 0, 0, 0, 0, 0, 64, -136, 456, -96, 0, 0, -72, 0, 0, 0, -320, 112, 88, 0, 376, 0, 0, -304, -144, -64, 76, 0, -128, 0, 4, -160, 0, 0, 72, 0, 0, 0, 0, 0, 16, 0, -248, 0, -152, 0, -248, 0, 20, -512, -316, 0, 0, 0, 60, 208, 272, 0, -120, 0, -112, 0, 176, 0, 32, -144, 104, 0, 160, 0, -56, -208, 36, 0, 64, 0, 0, 0, 0, 144, -124, -256, -456, 0, 0, 0, -808, -32, 0, 0, 104, 0, 192, 0, -48, 160, 0, -192, 232, 0, 232, 0, 40, -128, -388, -96, 0, 0, -8, 0, 0, -152, 0, 0, 40, 0, -88, 0, -184, -128, -64, 0, 284, 0, -456, 0, 0, 32, -356, 0, -576, 0, 80, 0, 144, 32, 112, 352, -16, 0, -20, 0, -536, 0, 144, 144, 132, 0, 120, 0, 0, -136, 0, 112, -232, 0, -48, 0, 0, 0, -240, -256, 0, 0, 172, 0, -240, -128, 160, -416, 0, 0, 232, 0, -64, 48, 300, -128, 176, 0, 0, 0, -44, 40, 0, 224, 0, 0, -240, 0, 440, 216, 0, 224, -36, 0, 160, 0, 80, 0, 0, 0, 120, 0, -224, 0, 784, 0, 184, -96, 24, 0, -1064, 0, -440, -136, -300, 0, 112, 0, 96, 0, 256, 0, 0, -32, 0, 0, -48, 0, 440, 112, 0, -128, -8, 0, 0, 0, -176, 72, -208, -272, 704, 0, 0, 0, -40, 80, -164, -192, -256, 0, -76, 0, 0, -8, -72, 224, 0, 0, 0, 0, 368, 0, 140, -352, -368, 0, 504, 0, 204, -192, 740, 0, 0, 0, -104, 0, 592, 0, 360, 0, -64, 0, -96, 0, 312, 240, -272, -64, 0, 0, -224, 0, 48, 0, -32, 0, 0, 0, 0, 0, -136, 96, 496, 48, 0, 0, 816, 0, 0, 0, -104, -464, 144, 0, -144, 0, 0, -224, -312, 0, 264, 0, -44, 0, -292, 0, 0, 240, -40, 0, 0, 0, 0, 0, 40, 0, -96, 0, 440, 0, -304, 0, -496, -32, -192, 0, 0, 0, -580, 0, 688, 256, 0, 0, 24, 0, 208, 168, -128, 64, -96, 0, 344, 0, 112, 32, 20, 0, -600, 0, 0, 0, 0, -112, 352, -512, -208, 0, 0, 0, -712], '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: 556548
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '888.2.r.a', 'source_level': 888, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '888.2.r.a', 'target_level': 888, 'twist_class_label': '888.2.r.a', 'twist_class_level': 888, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 556549
    {'conductor': 296, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '888.2.r.a', 'source_level': 888, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '888.2.r.a', 'target_level': 888, 'twist_class_label': '888.2.r.a', 'twist_class_level': 888, 'twisting_char_label': '296.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 556550
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '888.2.r.a', 'source_level': 888, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '888.2.r.c', 'target_level': 888, 'twist_class_label': '888.2.r.a', 'twist_class_level': 888, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 556551
    {'conductor': 37, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '888.2.r.a', 'source_level': 888, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '888.2.r.c', 'target_level': 888, 'twist_class_label': '888.2.r.a', 'twist_class_level': 888, 'twisting_char_label': '37.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1454475
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 2}
  • id: 1454476
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 3}
  • id: 1454477
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 5}
  • id: 1454478
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 7}
  • id: 1454479
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 11}
  • id: 1454480
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 13}
  • id: 1454481
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 17}
  • id: 1454482
    {'charpoly_factorization': [[[2, -2, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 19}
  • id: 1454483
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 23}
  • id: 1454484
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 29}
  • id: 1454485
    {'charpoly_factorization': [[[98, 14, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 31}
  • id: 1454486
    {'charpoly_factorization': [[[37, 2, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 37}
  • id: 1454487
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 41}
  • id: 1454488
    {'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 43}
  • id: 1454489
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 47}
  • id: 1454490
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 53}
  • id: 1454491
    {'charpoly_factorization': [[[128, 16, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 59}
  • id: 1454492
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 61}
  • id: 1454493
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 67}
  • id: 1454494
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 1168264659832, 'p': 71}
  • id: 1454495
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 73}
  • id: 1454496
    {'charpoly_factorization': [[[18, 6, 1], 1]], 'hecke_orbit_code': 1168264659832, 'p': 79}
  • id: 1454497
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 1168264659832, 'p': 83}
  • id: 1454498
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 1168264659832, 'p': 89}
  • id: 1454499
    {'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 1168264659832, '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': 18, 'hecke_orbit': 1, 'label': '888.2.r.a', 'level': 888, '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: 12416316
    {'hecke_orbit_code': 1168264659832, 'n': 1, 'trace_an': 2}
  • id: 12416317
    {'hecke_orbit_code': 1168264659832, 'n': 2, 'trace_an': -2}
  • id: 12416318
    {'hecke_orbit_code': 1168264659832, 'n': 3, 'trace_an': 0}
  • id: 12416319
    {'hecke_orbit_code': 1168264659832, 'n': 4, 'trace_an': 0}
  • id: 12416320
    {'hecke_orbit_code': 1168264659832, 'n': 5, 'trace_an': -4}
  • id: 12416321
    {'hecke_orbit_code': 1168264659832, 'n': 6, 'trace_an': -2}
  • id: 12416322
    {'hecke_orbit_code': 1168264659832, 'n': 7, 'trace_an': 0}
  • id: 12416323
    {'hecke_orbit_code': 1168264659832, 'n': 8, 'trace_an': 4}
  • id: 12416324
    {'hecke_orbit_code': 1168264659832, 'n': 9, 'trace_an': -2}
  • id: 12416325
    {'hecke_orbit_code': 1168264659832, 'n': 10, 'trace_an': 0}
  • id: 12416326
    {'hecke_orbit_code': 1168264659832, 'n': 11, 'trace_an': 0}
  • id: 12416327
    {'hecke_orbit_code': 1168264659832, 'n': 12, 'trace_an': 4}
  • id: 12416328
    {'hecke_orbit_code': 1168264659832, 'n': 13, 'trace_an': -2}
  • id: 12416329
    {'hecke_orbit_code': 1168264659832, 'n': 14, 'trace_an': 4}
  • id: 12416330
    {'hecke_orbit_code': 1168264659832, 'n': 15, 'trace_an': -4}
  • id: 12416331
    {'hecke_orbit_code': 1168264659832, 'n': 16, 'trace_an': -8}
  • id: 12416332
    {'hecke_orbit_code': 1168264659832, 'n': 17, 'trace_an': -4}
  • id: 12416333
    {'hecke_orbit_code': 1168264659832, 'n': 18, 'trace_an': 2}
  • id: 12416334
    {'hecke_orbit_code': 1168264659832, 'n': 19, 'trace_an': 2}
  • id: 12416335
    {'hecke_orbit_code': 1168264659832, 'n': 20, 'trace_an': 8}
  • id: 12416336
    {'hecke_orbit_code': 1168264659832, 'n': 21, 'trace_an': 4}
  • id: 12416337
    {'hecke_orbit_code': 1168264659832, 'n': 22, 'trace_an': -8}
  • id: 12416338
    {'hecke_orbit_code': 1168264659832, 'n': 23, 'trace_an': -4}
  • id: 12416339
    {'hecke_orbit_code': 1168264659832, 'n': 24, 'trace_an': -4}
  • id: 12416340
    {'hecke_orbit_code': 1168264659832, 'n': 25, 'trace_an': 0}
  • id: 12416341
    {'hecke_orbit_code': 1168264659832, 'n': 26, 'trace_an': 0}
  • id: 12416342
    {'hecke_orbit_code': 1168264659832, 'n': 27, 'trace_an': 0}
  • id: 12416343
    {'hecke_orbit_code': 1168264659832, 'n': 28, 'trace_an': -8}
  • id: 12416344
    {'hecke_orbit_code': 1168264659832, 'n': 29, 'trace_an': -4}
  • id: 12416345
    {'hecke_orbit_code': 1168264659832, 'n': 30, 'trace_an': 8}
  • id: 12416346
    {'hecke_orbit_code': 1168264659832, 'n': 31, 'trace_an': -14}
  • id: 12416347
    {'hecke_orbit_code': 1168264659832, 'n': 32, 'trace_an': 8}
  • id: 12416348
    {'hecke_orbit_code': 1168264659832, 'n': 33, 'trace_an': -8}
  • id: 12416349
    {'hecke_orbit_code': 1168264659832, 'n': 34, 'trace_an': 8}
  • id: 12416350
    {'hecke_orbit_code': 1168264659832, 'n': 35, 'trace_an': 8}
  • id: 12416351
    {'hecke_orbit_code': 1168264659832, 'n': 36, 'trace_an': 0}
  • id: 12416352
    {'hecke_orbit_code': 1168264659832, 'n': 37, 'trace_an': -2}
  • id: 12416353
    {'hecke_orbit_code': 1168264659832, 'n': 38, 'trace_an': -4}
  • id: 12416354
    {'hecke_orbit_code': 1168264659832, 'n': 39, 'trace_an': -2}
  • id: 12416355
    {'hecke_orbit_code': 1168264659832, 'n': 40, 'trace_an': -16}
  • id: 12416356
    {'hecke_orbit_code': 1168264659832, 'n': 41, 'trace_an': 0}
  • id: 12416357
    {'hecke_orbit_code': 1168264659832, 'n': 42, 'trace_an': -4}
  • id: 12416358
    {'hecke_orbit_code': 1168264659832, 'n': 43, 'trace_an': 6}
  • id: 12416359
    {'hecke_orbit_code': 1168264659832, 'n': 44, 'trace_an': 16}
  • id: 12416360
    {'hecke_orbit_code': 1168264659832, 'n': 45, 'trace_an': 4}
  • id: 12416361
    {'hecke_orbit_code': 1168264659832, 'n': 46, 'trace_an': 0}
  • id: 12416362
    {'hecke_orbit_code': 1168264659832, 'n': 47, 'trace_an': 0}
  • id: 12416363
    {'hecke_orbit_code': 1168264659832, 'n': 48, 'trace_an': 0}
  • id: 12416364
    {'hecke_orbit_code': 1168264659832, 'n': 49, 'trace_an': 6}
  • id: 12416365
    {'hecke_orbit_code': 1168264659832, 'n': 50, 'trace_an': 6}
  • id: 12416366
    {'hecke_orbit_code': 1168264659832, 'n': 51, 'trace_an': 4}
  • id: 12416367
    {'hecke_orbit_code': 1168264659832, 'n': 52, 'trace_an': 4}
  • id: 12416368
    {'hecke_orbit_code': 1168264659832, 'n': 53, 'trace_an': 0}
  • id: 12416369
    {'hecke_orbit_code': 1168264659832, 'n': 54, 'trace_an': 2}
  • id: 12416370
    {'hecke_orbit_code': 1168264659832, 'n': 55, 'trace_an': -16}
  • id: 12416371
    {'hecke_orbit_code': 1168264659832, 'n': 56, 'trace_an': 8}
  • id: 12416372
    {'hecke_orbit_code': 1168264659832, 'n': 57, 'trace_an': -2}
  • id: 12416373
    {'hecke_orbit_code': 1168264659832, 'n': 58, 'trace_an': 8}
  • id: 12416374
    {'hecke_orbit_code': 1168264659832, 'n': 59, 'trace_an': -16}
  • id: 12416375
    {'hecke_orbit_code': 1168264659832, 'n': 60, 'trace_an': -8}
  • id: 12416376
    {'hecke_orbit_code': 1168264659832, 'n': 61, 'trace_an': -2}
  • id: 12416377
    {'hecke_orbit_code': 1168264659832, 'n': 62, 'trace_an': 28}
  • id: 12416378
    {'hecke_orbit_code': 1168264659832, 'n': 63, 'trace_an': 0}
  • id: 12416379
    {'hecke_orbit_code': 1168264659832, 'n': 64, 'trace_an': 0}
  • id: 12416380
    {'hecke_orbit_code': 1168264659832, 'n': 65, 'trace_an': 0}
  • id: 12416381
    {'hecke_orbit_code': 1168264659832, 'n': 66, 'trace_an': 8}
  • id: 12416382
    {'hecke_orbit_code': 1168264659832, 'n': 67, 'trace_an': 0}
  • id: 12416383
    {'hecke_orbit_code': 1168264659832, 'n': 68, 'trace_an': -8}
  • id: 12416384
    {'hecke_orbit_code': 1168264659832, 'n': 69, 'trace_an': -4}
  • id: 12416385
    {'hecke_orbit_code': 1168264659832, 'n': 70, 'trace_an': -16}
  • id: 12416386
    {'hecke_orbit_code': 1168264659832, 'n': 71, 'trace_an': 0}
  • id: 12416387
    {'hecke_orbit_code': 1168264659832, 'n': 72, 'trace_an': -4}
  • id: 12416388
    {'hecke_orbit_code': 1168264659832, 'n': 73, 'trace_an': 0}
  • id: 12416389
    {'hecke_orbit_code': 1168264659832, 'n': 74, 'trace_an': 14}
  • id: 12416390
    {'hecke_orbit_code': 1168264659832, 'n': 75, 'trace_an': 6}
  • id: 12416391
    {'hecke_orbit_code': 1168264659832, 'n': 76, 'trace_an': 4}
  • id: 12416392
    {'hecke_orbit_code': 1168264659832, 'n': 77, 'trace_an': 16}
  • id: 12416393
    {'hecke_orbit_code': 1168264659832, 'n': 78, 'trace_an': 4}
  • id: 12416394
    {'hecke_orbit_code': 1168264659832, 'n': 79, 'trace_an': -6}
  • id: 12416395
    {'hecke_orbit_code': 1168264659832, 'n': 80, 'trace_an': 16}
  • id: 12416396
    {'hecke_orbit_code': 1168264659832, 'n': 81, 'trace_an': 2}
  • id: 12416397
    {'hecke_orbit_code': 1168264659832, 'n': 82, 'trace_an': 4}
  • id: 12416398
    {'hecke_orbit_code': 1168264659832, 'n': 83, 'trace_an': 0}
  • id: 12416399
    {'hecke_orbit_code': 1168264659832, 'n': 84, 'trace_an': 0}
  • id: 12416400
    {'hecke_orbit_code': 1168264659832, 'n': 85, 'trace_an': 16}
  • id: 12416401
    {'hecke_orbit_code': 1168264659832, 'n': 86, 'trace_an': -12}
  • id: 12416402
    {'hecke_orbit_code': 1168264659832, 'n': 87, 'trace_an': 4}
  • id: 12416403
    {'hecke_orbit_code': 1168264659832, 'n': 88, 'trace_an': -16}
  • id: 12416404
    {'hecke_orbit_code': 1168264659832, 'n': 89, 'trace_an': 0}
  • id: 12416405
    {'hecke_orbit_code': 1168264659832, 'n': 90, 'trace_an': 0}
  • id: 12416406
    {'hecke_orbit_code': 1168264659832, 'n': 91, 'trace_an': 4}
  • id: 12416407
    {'hecke_orbit_code': 1168264659832, 'n': 92, 'trace_an': 8}
  • id: 12416408
    {'hecke_orbit_code': 1168264659832, 'n': 93, 'trace_an': 14}
  • id: 12416409
    {'hecke_orbit_code': 1168264659832, 'n': 94, 'trace_an': 8}
  • id: 12416410
    {'hecke_orbit_code': 1168264659832, 'n': 95, 'trace_an': -8}
  • id: 12416411
    {'hecke_orbit_code': 1168264659832, 'n': 96, 'trace_an': 8}
  • id: 12416412
    {'hecke_orbit_code': 1168264659832, 'n': 97, 'trace_an': 6}
  • id: 12416413
    {'hecke_orbit_code': 1168264659832, 'n': 98, 'trace_an': -6}
  • id: 12416414
    {'hecke_orbit_code': 1168264659832, 'n': 99, 'trace_an': 0}
  • id: 12416415
    {'hecke_orbit_code': 1168264659832, 'n': 100, 'trace_an': -12}